A complete book for Smoke Control engineering & management. In building construction projects, or car parking areas where you need ventilation & smoke extract system, you must consider vario…Full description
Handbook of Industrial Engineering
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Agricultural Engineering is a wide branch with lot of opportunities..
Agricultural Engineering is a wide branch with lot of opportunities..Descripción completa
Descripción: A complete book for Smoke Control engineering & management. In building construction projects, or car parking areas where you need ventilation & smoke extract system, you must consider various prin...
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The Electrical Engineering Handbook
NASA System Engineers HANDBOOK
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AASHTO LRFD Bridge Design Book
Nuclear engineering handbook. Etherington, Harold New York, McGraw-Hill, 1958.
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SECTIONS OF THE HANDBOOK Section
L
Mathematical Data and General Tables
Section
2.
Nuclear Data
Section
3.
Mathematics
Section
4.
Nuclear Physics
Section
6.
Experimental Techniques
Section
6.
Reactor Physics
Section
7.
Radiation and Radiological Protection
Section
8.
Control of Reactors
Section
9.
Fluid and Heat Flow
Section 10.
Reactor Materials
Section 11.
Chemistry and Chemical Engineering
Section 12.
Nuclear-power-plant Selection
Section 13.
Mechanical Design and Operation of Reactors
Section 14.
Isotopes
HOW TO USE THE HANDBOOK The handbook is divided into fourteen major sections listed on the The first page of each section gives a table of contents of
opposite page. the section.
Selection of Data and Formulas
Two methods are available for finding data and formulas — the index and the set of tables listed below.
These guide tables indicate the con
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tents of the most frequently used tables and, by showing contextual mate
rial, provide guidance that may be inherently difficult to give in an index. Judicious use of both the index and the guide tables is recommended. . The guide tables are followed, in Section 1-1, by articles summarizing frequently used data and formulas, and giving references to pertinent sections of the handbook. Descriptive Matter information is best found from the index, but the tables of of each section provide a convenient guide to information on a broad topic. Specific
contents at the beginning
GUIDE TABLES FOR SELECTION OF FREQUENTLY USED DATA
Table
Tables of Mathematical Functions '2 Mathematical Formulas Engineering Conversion Factors 3 4 General Atomic and Nuclear Data Nuclear Data used in Reactor Neutron Physics 5 6 Reactor Theory 7 Calculation of Radioactivity 8 Health Physics 9 Shielding 10 Physical Properties of Fluids 11 Fluid Flow and Heat Flow 12 Thermal Stress 13 of Physical and Mechanical Properties Materials Corrosion and Wear Resistance of Structural Materials. .14 15 Radiation Damage 16 Chemistry 1
Page
1-2 1-3 1-3 1 -3 1-4
1-5 1-5 1-6 1-7 1-8 to 1-10 1-10 1-10 1-10 1-11
l-U
I -U
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NUCLEAR ENGINEERING HANDBOOK
McGRAW-HILL HANDBOOKS
Abbott and Smith
• National Electrical Code Handbook, 9th ed. Purchasing Handbook American Institute ok Physics • American Institute of Physics Handbook American Society of Mechanical Engineers ASME Handbook: Engineering Tables ASME Handbook: Metals Engineering — Design ASME Handbook: Metals Engineering — Processes ASME Handbook: Metals Properties American Society of Tool Engineers • Die Design Handbook American Society of Tool Engineers • Tool Engineers Handbook Beeman • Industrial Power Systems Handbook Berry, Bollay, and Beers • Handbook of Meteorology Brady • Materials Handbook, 8th ed. Cockrell • Industrial Electronics Handbook Compressed Air and Gas Institute • Compressed Air Handbook, 2d ed. Condon and Odishaw • Handbook of Physics Considine ■Process Instruments and Controls Handbook Crocker • Piping Handbook, 4th ed. Croft • American Electricians' Handbook, 7th ed. Davis • Handbook of Applied Hydraulics, 2d ed. Etherington • Nuclear Engineering Handbook Factory Mutual Engineering Division • Handbook of Industrial Loss Prevention Fink • Television Engineering Handbook Harris • Handbook of Noise Control Henney • Radio Engineering Handbook, 5th ed. Hunter • Handbook of Semiconductor Electronics Johnson and Auth • Fuels and Combustion Handbook Juran • Quality-control Handbook Ketchum • Structural Engineers' Handbook, 3d ed. King ■Handbook of Hydraulics, 4th ed. Knowlton • Standard Handbook for Electrical Engineers, 9th ed. Kurtz • The Lineman's Handbook, 3d ed. Labberton and Marks ■Marirle Engineers' Handbook Landee, Davis, and Albrecht • Electronic Designers' Handbook Laughner and Hargan • Handbook of Fastening and Joining of Metal Parts Le Grand • The New American Machinist's Handbook Liddell • Handbook of Nonferrous Metallurgy, 2 vols., 2d ed. Magill, Holden, and Ackley ■ Air Pollution Handbook Manas ■National Plumbing Code Handbook Mantell • Engineering Materials Handbook Marks and Baumeister • Mechanical Engineers' Handbook, 6th ed. Markus and Zeluff ■Handbook of Industrial Electronic Circuits Markus and Zeluff • Handbook of Industrial Electronic Control Circuits Maynard ■Industrial Engineering Handbook Merritt • Building Construction Handbook Morrow • Maintenance Engineering Handbook O'Rourke • General Engineering Handbook, 2d ed. Pacific Coast Gas Association • Gas Engineers' Handbook Perry • Chemical Business Handbook Perry • Chemical Engineers' Handbook, 3d ed. Shand ■Glass Engineering Handbook, 2d ed. Staniar • Plant Engineering Handbook, 2d ed. Terman • Radio Engineers' Handbook Truxal • Control Engineers' Handbook Urquhart • Civil Engineering Handbook, 4th ed. Voder, Heneman, Titrnbull, and Stone ■Handbook of Personnel Management and Labor Relations
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Auian
•
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NUCLEAR ENGINEERING HANDBOOK HAROLD ETHERINGTON, Editor Vice President Nuclear Products-Erco, Division of ACF Industries formerly Director, Naval and Reactor Engineering Divisions Argonne National Laboratory
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Library of Congress Catalog Card Number:
THE MAPLE PRESS
COMPANY,
57-8000
TORE, *A.
CONTRIBUTORS
Paul C. Aebersold, M.A., Ph.D., Assistant Director for Isotopes, Office of Indus trial Development, U. S. Atomic Energy Commission. H-l. Isotopes and Their Use.
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Robert C. Allen, Director of Mechanical Engineering, Industries Group, AllisChalmers Manufacturing Company. 12-3. Power Generating Equipment. Alfred Amorosi, B.S.M.E., B.S.Ch., Technical Director, Atomic Power Develop ment Associates, Inc. (on loan from Detroit Edison Company), formerly Director, Reactor Engineering Division, Argonne National Associate Laboratory. 12-1. Selection of Reactors. George A. Anderson, B.M.E., Manager, Reactor Engineering, Nuclear Products -Erco, Division of ACF Industries, Incorporated, formerly Project Engineer, Argonne National Laboratory. 18-7. Reactor Construction. Arthur H. Barnes, A.B., A.M., Ph.D. (deceased), formerly Director, Reactor Engineering Division, Argonne National Laboratory. 13-3. Liquid-metal Reactor Systems.
Franklin T. Binford, B.S., Senior Development Engineer, Reactor Operations Department, Oak Ridge National Laboratory. 14-3. Production of Radio isotopes.
Everitt P. Blizard, B.A., M.A., Director, Applied Nuclear Physics Division, Oak Ridge National Laboratory. 7-3. Nuclear Radiation Shielding. Charles F. Bonilla, Ch.E., Ph.D., Professor of Chemical Engineering, Columbia University. 9-2. Fluid Flow in Reactor Systems. 9-3. Heat Removal from Nuclear Reactors. Dwain B. Bowen, M.S., Group Leader, Solid State Physics, Atomics Interna 10-1. The Metallic State. tional, North American Aviation, Inc. R. B. Briggs, B.S.Ch.E., Director of Homogeneous Reactor Project, Oak Ridge National Laboratory. 13-2. Homogeneous Aqueous Reactor Systems. Thomas
J. Burnett, B.A., Health Physicist, Oak Ridge National Laboratory,
Safe Handling of Fuel (in Section 7-2).
Leslie Burns, Jr., B.S., M.S., Associate Chemical Engineer, Laboratory. 11. Chemistry and Chemical Engineering.
Argonne
National
Vincent P. Calkins, B.S., M.S., Ph.D., Manager, Applied Materials Research, Aircraft Nuclear Propulsion Department, General Electric Company. 10-6. Radiation Damage to Liquids and Organic Materials.
A. B.
Carson, A.B., Manager, Process Design Operation, Irradiation Processing Department, General Electric Compaay, Hanford Works. Pressurized-tube Graphite-moderated Reactors (in Section 13-1).
vi
CONTRIBUTORS
Glen Clewett, A.B., Group Leader, Sterling Forest Laboratory, Union Ca Nuclear Co., formerly Director of Materials Chemistry Division, Oak R. National Laboratory. 14-2. Isotope Separation by Chemical Exchange l. Related Processes.
L. F. Coleman, B.S., Associate Chemical Engineer, Argonne National Laboratory. Instrumentation
(in Section 11).
Charles E. Crompton, Ph.D., Associate Technical Director, National Lead Com pany of Ohio, formerly Deputy Director, Isotopes Division, U. S. Atomic Energy Commission. 14-1. Isotopes and Their Use.
Robert Daane, B.S., M.S., Research Engineer, Beloit Iron Works, formerly Senior Mechanical Engineer, Nuclear Development Corporation of America, Mechanical Engineer, Associate Argonne National Laboratory. 9-4Thermal Stress and Distortion.
Frank B. Daniels, B.S., Assistant Manager, Research and Development, Nuclear Products-Erco, Division of ACF Industries, formerly Incorporated, Assistant to Director of Mechanical Engineering, Industries Group, AllisChalmers Manufacturing Company. 12-3. Power Generating Equipment.
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Russell W. Dayton, Ch.E., M.S., Ph.D., Assistant Technical Director, Battelle Memorial Institute. 10-7. Recent Developments in Reactor Materials.
J.
R. Dietrich, Ph.D., Vice President, General Nuclear Engineering Corporation, formerly Associate Director, Reactor Engineering Division, Argonne National Laboratory. 6-2. Reactor Calculations.
William B. Doe, B.S., Associate Chemical Engineer, Argonne National Laboratory. 7-4- Mechanical Handling of Radioactive Materials. Elesa R. Etherington, B.Sc, Housewife.
1-2. Mathematical
Tables.
B.Sc,
Harold Etherington, Assoc. Roy. Sch. Mines, Vice President, Nuclear Products-Erco, Division of ACF Industries, Incorporated, formerly Direc tor, Naval and Reactor Engineering Divisions, Argonne National Laboratory. 1-1. Selected Data and Formulas, 1-2. Mathematical Tables, IS. Units and Conversion Tables.
Myron F. Fair, B.S., M.S., Health Physicist, Oak Ridge National Laboratory. Beryllium Toxicity (in Section 7-2). Kenneth R. Ferguson, A.B., M.S., Associate Physicist, Argonne Laboratory. 7-4. Mechanical Handling of Radioactive Materials.
National
George A. Garrett, Ph.D., Superintendent of Operations Analysis Division, Oak Ridge Gaseous Diffusion Plant. 14-4- Gaseous Diffusion Separation Process.
Division, Remote Control Engineering Raymond C. Goertz, B.S., Director, Handling of Radioactive Argonne National Laboratory. 7-4- Mechanical Materials. G. K. Green, Ph.D., Senior Physicist,
Brookhaven National Laboratory.
6-4.
Accelerators.
Joseph M. Harrer, B.S.E.E., M.S.E.E., Associate Director, Reactor Engineering Division, Argonne National Laboratory. 8-3. Control Instruments and Drives.
John A. Harvey, B.Sc, Ph.D., Senior Physic ist, Oak Ridge National Laboratory, formerly Brookhaven National Laboratory. 6-2. Experimental Neutron Physics.
Vll
CONTRIBUTORS
Alston S. Householder, Ph.D., Head of Mathematics Panel, Oak Ridge National 3-3. Principles of High-speed Laboratory. 3-1. Algebra and Geometry, Computing Machinery.
John P. Howe, B.S., Ph.D., Chief, American Aviation, Inc.
Research, Atomics International, 10-4- Radiation Damage to Solids.
North
Frank C. Hoyt, Ph.D.,
Manager, Nuclear and General Physics Division, Lock heed Aircraft Corporation, Missile Systems Division, formerly Alternate Division Leader, Los Alamos Scientific Laboratory. 4- Nuclear Physics.
John R. Huffman, Ph.D., Assistant Phillips Petroleum Company.
Donald
J.
Manager, Technical, Atomic Energy Division, 5-5. Engineering Testing in Reactors.
Hughes, Ph.D., Senior Physicist, Brookhaven National Laboratory.
5-2. Experimental
Neutron Physics.
Herbert S. Isbin, Ph.D., Associate Professor, Department of Chemical Engineer ing, LTniversity of Minnesota. 13-5. Kinds of Reactors. Wayne H. Jens, B.S., M.S., Ph.D., Assistant Technical Director, Atomic Power Development Associates, formerly Senior Engineer, Nuclear Development 9-1. Physical Properties of Heat Transfer Mediums. Corporation of America. Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
A A. Jonke, tory. C.
B.S., M.S., Associate Chemical Engineer, Argonne National Labora
Precipitation
(in Section 11).
P. Keim, A.B., M.Sc, Ph.D., Director, Technical Information Division, formerly Director, Stable Isotopes Division, Oak Ridge National Laboratory. 14-5. Electromagnetic Separation of Stable Isotopes.
Alf Kolfiat,
Degree in Mechanical Engineering, Senior Partner, Sargent & Lundy,' 13-6. Reactor Building Design.
Engineers.
Herbert Kouts, Ph.D., Experimental Reactor Physics Group National Laboratory. Sidney
Krasik, Ph.D.,
Leader, Brookhaven 5-3. Measurement of Reactor Constants.
Westinghouse
Electric
Corporation.
Control.
8-1. Physics of
Stephen Lawroski, B.S., M.S., Ph.D., Director, Chemical Engineering Division, Argonne National Laboratory. 11. Chemistry and Chemical Engineering.
M.
Levenson, B.S., Associate Chemical Engineer, Argonne National Laboratory. Auxiliary Operations (in Section 11). Miles C. Leverett, B.S., M.S.E., Sc.D., Manager, Development Laboratories, Aircraft Nuclear Propulsion Department, General Electric Company. 13-4- Gas-cooled Reactor Systems.
L. K. Link, B.S.,
Argonne National Laboratory.
Associate Chemical Engineer, 12-2. Economics of Nuclear Power.
C. Rogers McCullough, Ph.D., Chairman, Advisory Committee on Reactor Safe Project Specialist, Monsanto guards, U. S. Atomic Energy Commission, Chemical Company. 8-4- Reactor Safeguards.
Warren
J. McGonnagle, A.B., M.S., Ph.D., Group Leader, Nondestructive Testing, Argonne National Laboratory. 10-6. Nondestructive Testing.
Atomic Energy Division, Phillips Petroleum Testing in Reactors.
viii
CONTRIBUTORS C. Moise, Ph.D., Assistant Principal Engineer, Liquid Rocket Plant, Aerojet-General Corporation, formerly Assistant Project Engineer, Fox and Whitney Aircraft. 8-5. Reactor-system Dynamic Project, Pratt
John
Simulation.
Karl Ziegler Morgan, A.B., M.A., Ph.D., Director Oak Ridge National Laboratory.
of Health Physics Division, 7-2. Health Physics.
J. Mover, Ph.D., Professor of Physics, University of California Berkeley, and Physicist, University of California Berkeley Radiation Laboratory. 5-1. Instruments for Measuring Radiation.
Burton
C. E. Normand, Ph.D., Stable Isotope
Ridge National Laboratory.
Research and Production Division, Oak ljf.S. The Electromagnetic Separation of Stable
Isotopes.
David Okrent, M.E., A.M., Ph.D., Manager, Fast Reactor Safety Project, MuUigroup Calculations (in Section 6-2). Argonne National Laboratory. Walton A. Rodger, B.S.Ch.E., B.S.Met.E., M.S.Ch.E., Ph.D., Associate Director, 11. Chem Chemical Engineering Division, Argonne National Laboratory.
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istry and Chemical Engineering.
Arthur F. Rupp, B.S.Ch.E., Laboratory Services Superintendent, National Laboratory. 14-3. Production of Radioisotopes.
Ward Conrad Sangren, A.B., M.A., Ph.D., Chief of Computing, General Atomic, General Dynamics Corporation, formerly Chief of Computing and Mathe matics, Curtis- Wright Research, Assistant Chief of Mathematics Panel, Oak Ridge National Laboratory. 3-2 . Analysis, 3-3. Principles of High-speed Computing Machinery.
M. A.
Schultz, B.S.E.E., Project Manager, Westinghouse Testing Reactor, 8-2. The Control System. Westinghouse Electric Company.
Otto Schulze, B.S., M.S., Manager, Nuclear Development, American Machine and Foundry Company, formerly Associate Physicist, Argonne National Laboratory. Matrix Solutions for Reflected Reactors and Evaluation of Material Constants of t/ie Reactor (in Section 6-2).
W. B. Seefeldt, B.S., M.S., Associate Laboratory. Corrosion (in Section
Chemical
Engineer,
Argonne National
11).
Sidney Siegel, A.B., Ph.D., Technical Director, Atomics International, North American Aviation, Inc. 10-4- Radiation Damage to Solids. Harry Soodak,
B.S., M.A., Ph.D., Assistant Professor
College of New York.
2. Nuclear
of Physics,
The City
Data.
Roger Sutton, B.Ch.E., M.S., Metallurgist, International Nickel Company, Inc., formerly Senior Metallurgist, Argonne National Laboratory. 10-3. Struc tural Materials in High-temperature Water Reactor Systems. Untermyer II, B.S., Consulting Engineer on Reactor Technology, Vallecitos Atomic Laboratory, Atomic Power Development Department General Electric Company. 13-1. Water-cooled Reactor Systems. ,
Samuel
R. C. Vogel, B.S., M.A., M.S., Ph.D., Associate Director, Chemical Engineering Division, Argonne National Laboratory. Precipitation (in Section 11).
CONTRIBUTORS John W.
Weil, B.S., Ph.D., Manager, Power Reactor Physics, Atomic Power
Equipment Department,
John
IX
General
Electric Company.
6-1. Reactor Theory.
M. West, B.S., M.S., Vice President, General Nuclear Engineering Cor poration, formerly Associate Director, Reactor Engineering Division, Argonne National Laboratory. 7-1. Calculation of Radioactivity.
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Walter H. Zinn, Ph.D., President, General Nuclear Engineering Corporation, 12-2. Economics formerly Director, Argonne National Laboratory. of Nuclear Power.
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PREFACE
The
"Nuclear Engineering Handbook"
has been prepared to satisfy a
for an authoritative single-volume compilation of nuclear information and data. More than 70 contributors, each a specialist in his pressing need
icular area of nuclear science or engineering, have contributed sections satisfy the needs of engineers, scientists, students, research workers, and others interested in nuclear science and technology. The handbook presents the basic data used in all phases of nuclear part
to
Science and technology, and theory and practice are covered, with special emphasis on reactor engineering. thoroughly Reactor designers will be particularly interested in the sections on reactor Formulas, physics, radioactivity, shielding, fluid flow, and heat transfer.
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engineering.
comprehensive
tables,
and methods
of calculation make this material
useful. Among the special features of the book are a series of important contributions on the present state of reactor technology and the economics of nuclear power. The book has been planned for easy reference with an introductory especially
This section also con
section
which serves
tains a
collection of the most frequently used data and formulas.
E.
as a guide to the handbook.
J.
R. Dietrich, Dr. Walter H. Zinn, and other contributing authors have offered important advice concerning the of particular sections of the handbook. Dr. Norman constitution Hilberry and Mr. Neal F. Lansing have offered many valuable sug gestions, and several officials of the United States Atomic Energy Com mission have been most helpful in promptly reviewing handbook material This assistance and the many long hours of relative to classification. careful work of the contributing authors are gratefully acknowledged. Dr. Charles
Crompton,
Dr.
Harold Etherington
xi
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CONTENTS
For the detailed contents of any section consult the first page of that section.
Contributors
v
Preface
xi
Section
1.
Mathematical Data and General Tables
Section 1-1.
Selected Data and Formulas and Guide to the
Handbook
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The Metallic State . . . Properties of Reactor Materials . in Structural Materials High-temperature Water Reactor Systems Section 10-4. Radiation Damage to Solids Section 10-5. Radiation Damage to Liquids and Organic Materials Section 10-6. Nondestructive Testing Section 10-7. Recent Developments in Reactor Materials Section 10-1. Section 10-2. Section 10-3.
Section 13.
8-76 8-89
Transfer
Reactor Materials
Section 12-1. Section 12-2. Section 12-3.
8-21 8-49
9-1
Mediums
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.
Fluid and Heat Flow
Section 9-1.
Section 10.
.
8-2
14-2 Exchange 14-15
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NUCLEAR ENGINEERING HANDBOOK
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SECTION
1
MATHEMATICAL DATA AND GENERAL TABLES BY
ETHERINGTON, ASSOC. ROY. SCH. MINES, B.Sc, Vice President, Nuclear Products-Erco, Division of ACF Industries, Inc., formerly Director,' Naval and Reactor Engineering Divisions, Argonne National laboratory. ELESA R. ETHERINGTON, B.Sc, Housewife.
HAROLD
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CONTENTS SELECTED DATA AND FORMULAS AND GUIDE TO THE HANDBOOK
1-1
BY HAROLD ETHERINGTON Guide to Handbook Tabulated Data. . Unite and Constanta The Elementa and Nuclides Nuclear Data Used in Reactor Calculations 5 Constants and Formulas Relating Power, Flux, and Fuel Consumption.. 6 Numerical Integration by Simpson's Rule 7 Reactor Calculations 8 Calculation of Nuclear Radiation 9 Health Physics 10 Nuclear Radiation Shielding 11 Physics of Reactor Control 12 Fluid Properties 13 Fluid Flow 14 Heat Transfer 15 Thermal Stress and Distortion 16 Radiation Damage to Liquids and Organic Materials 1 2 3 4
PAOF. 1-63 1-71 1-74
17 Solution of Equations 18 Atomic Energy Commission Literature. References PAGE
1-2 1-12 1-13
1-2
MATHEMATICAL TABLES
BY HAROLD ETHERINGTON AND ELESA R. ETHERINGTON 1 Tables of Functions 2 Bibliography of English-language
1-19
Tables
1-28
1-3
1-28 1-29 1-30 1-42 1-43 1-45 1-48 1-50 1-53 1-61
1-75 1-127
UNITS AND CONVERSION FACTORS
BY HAROLD ETHERINGTON 1 Dimension and Unit Systems 2 Fundamental Standards and Exact
SELECTED DATA AND FORMULAS AND GUIDE TO THE HANDBOOK BY Harold Etherington
The tables of Art. 1 provide a systematic guide to the more important tabulated and graphic data of the handbook. Subsequent articles contain collections of fre quently used data and formulas largely selected from other sections of the handbook, together with references to pertinent sections.
GUIDE TO HANDBOOK TABULATED DATA
1
Tables
facilitate selection and location of important data. These tables the same sequence as they occur in the handbook, but with no correspondence between table numbers and handbook section The sequence is as follows: numbers. 1
to
18
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are arranged by subject, in approximately
Table 1. Tables of Mathematical Functions Table 2. Mathematical Formulas Table 3. Engineering Conversion Factors Table 4. General Atomic and Nuclear Data Table 5. Nuclear Data Used in Reactor Neutron Physics Table 6. Reactor Theory Table 7. Calculation of Radioactivity Table 8. Health Physics Table 9. Shielding Table 10. Physical Properties of Fluids Table 11. Fluid Flow and Heat Flow Table 12. Thermal Stress Table 13. Physical and Mechanical Properties of Materials Table 14. Corrosion and Wear Resistance of Structural Materials Table 15. Radiation Damage Table 16. Chemistry Table 17. Particulars of Reactors Table 18. The Greek Alphabet Table
section and page
Transcendental constants Logarithms: Natural logarithms and sines
Tangents Exponential and functions:
Tables of Mathematical
Handbook
Function
Cosines
1.
hyperbolic
Hyperbolic cosines and sine* Hyperbolic tangenta
Table
1-75
1
1-76 to 77 1-78 to 79
2 3
1-80 to 83 1-84 to 85
4 5
1-86 to 89 1-90 to 92 1-93
6 7 8
Functions*
Function
Bessel functions: Yo(x) and YUz) h(x) and /.(*) Ko(x) and Ki(x)
Auxiliary functions Other functions: l'(x) and x! polynomials Error integral Factorials and reciproculs. Bibliography of tables Legendre
* For mathematical formulas see Table 2.
1-2
Handbook section and page
Table
1-94 to 99 1-100 to 105 1-106 to 109 1-110 to 113 1-114 to 116
9 10
1-117 1-119 1-123 1 124 1 126 1-127
14 15 16 17 19
to 118 to 122 to 126 to 133
II
12 13
Art. 2
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
Table 2.
Mathematical
Formulas Handbook section and page
Table
3-5 3-18 3-69 3-69 to 74 3-65 3-68 3-99 to 100 3-128 3-130 1-75
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Fundamental and mechanical: Length Area Volume Mass Time Force Angular Velocity. Flotr. . Density. Pressure. Viscosity
Internal heat generation and power density Temperature Specific heat Heat capacity
Thermal conductivity. . . . Heat flux and conductance
Electrical
-151 -150 -151 -151 1-151 -151 1-152
Miscellaneous:
Concentration Corrosion
Summary
Table
4.
table
General Atomic and Nuclear Data* Subjeot
Basic constants: Physical constants Mass-energy equivalents Rest mass of particles Wavelength and energy Summary table
Atomic weights and atomic numbers of the elements: Alphabetical list Periodic
-152 -152 -12
table
Handbook | section and page
1-154 1-155 1-155 1-156 1-13
1-14 11-4
Collected properties of the elements and nuclides: Isotopic abundance and nuclear properties of elements and nuclides (from
BNL
325)
Nuclide chart Fission energy equivalents * For specific nuclear data, see Table 5.
2-15 to 23 1-15 to I9| 1-26
GENERAL DATA
1-4 Table
6.
Nuclear Data Used in Reactor Neutron Physics* Handbook
Subject
-
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U»"
Natural-uranium equilibrium spectrum Fast reactors Delayed-neutron data: Fast fission of V"', U">, U'", Pu>», Pu»«, Th«": riit, ffi/ff, 0,., 0*
f.
Thermal fission of U»", U">, Pu»»: ryu, Pi/0, gi,, 0, H
Thermal fission of U"»: Tlfc, Ti, Xi, ffi/fi, Pi, 0,r, Photoneutrons (DjO reactor) Thermal-neutron properties: o-o, »/, , Um, Pu»» (Westcott values) tj, y, a for U18B, U"1, Pu11*, natural uranium L and X/r for Th, ThO«, U, UK). Resonance-neutron properties: Absorption integrals and parameters for Ula8 and Th1*1 Resonance constants A and p for uranium, compounds, and mixtures. Resonance constants A. pi A, and Xo for Th13s and uranium xi for II and UbOs Intermediate- and fast-neutron properties: and Pu"» v(E) for U"!. V". Pu"» Fast a/ and o> for fuels at of nonthermally fissionable nuclei fission of nuclides
Fast-fission effect « Moderators: P, N, 2., {2., Dn, L,r P. N, 2„.n, 2..,*, Xi,,ik, D,k, Lih, {, 2../, £2,./, \i,,l, D/, t L, Xlr r for moderators and mixtures Time and number of collisions to thermalize Resonance constants {a» and ttt/p Photoneutrons (DtO reactor) P for HjO as a function of temperature p for DiO as a function of temperature Fission products : ia(E) for Xe>" Yield and aa of Xelu, Sin1*', and long-lived fission product*. aa{E) for fission product* Distribution and decay — see Table 7 * For data of a more general
character,
Table
scotion
and page
Element! and nuclides in general : Isotopic abundance, atomic and isotopic oross sections (from BNL 325) . . . Thermal-neutron properties: A, p, N, 1 ?-,. {, ya(2,200), «-.(<«) for the element* A, p, JV, t — no, a ,, 7a,
Spontaneous
[SEC. 1
see Table 4.
2-15to23
19
2-13 to M 1-24 to 25 7-8 2-25 to 26
27 I 20
1-24 to 25 2- 13 to 14 2-28 2-29 2-30 2-30, 31 2-33 2-35
27 18 24 25 26 27. 28 33 34
(2-2 14-85 1-26
18
Art. 4.31 29
7-91 2-3 8-3 2-32 2-31
15 2 I 31 30
8-3
2
8-5
4
8-4
3
8-5
4
1-46
39
2-3
3
2-5 1-21 1-26 6-86
6 25 28 13
2-26 6-82 2-27 2-27 6-83
21 9 23 22 10
2-6
7
2-6 2-7 2-6 to 8 2-8 2-5 6-85
8 9 7-11 12(11) 5 12. Art. 9.5
2-9
13
1-20 6-86 6-88 2-10
24 13 14 14
6-83 2-3 i 9-10 ! 1-49 9-16
3 20 41 28
2-11 i 2-11 I 1-23 2-11
15 16 26 17
For radioactivity data, Bee Table 7.
II
SEC. 1-1]
Table 6.
Reactor Theory Handbook
Subject
section and page
Kernels: Diffusion in infinite media Gaussian slowing down in infinite media Transforms Solutions of steady-state diffusion equations: One-dimensional media with localized sources Wave equation for homogeneous bare reactors Equations for reflected reactors Matrix solutions for reflected reactors Lumped gray absorbers Lumped black absorbers Disadvantage-factor constants E and F Control-rod equivalent radii and absorption areas for noncircular rods Power, flux, and fuel consumption: Flux-power relation Fuel consumption, g/Mwd
Table 7.
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section and page
Units of radiation dose Radioactivity of the heavy nuclides: 4n, 4n + lf An + 2, An + 3 deoay U isotopes
1-42 chains.
...
isotopes
Tfe isotopes
Neutron activation
and decay data: Cross sections, half-lives, decay 7-ray energy General nuclear data (see Table 5)
Reactor coolants Irradiation and decay formulas: Irradiation and decay Activity of reactor coolants Fission : prompt 7-ray distribution Fission-product
4-35 to 38 11-34 11-38 11-41 7-8
Heat rate nuclides,
6-40 6-58 6-60 6-70 6- 106 6-107 6-78 6-17 to 19
2 5
see Table
16.
Art. 7 Art. 8 17 18 8
5-8 30 31
Table
36
Figs. 10-13 8
II
14 I 34
1-38 1-41 7-72
32 35 8
11-25 7-73 1-39 11-26
Fig. 3 Fig. 4
decay:*
Activity Energy groups
* For decay data by specific
1 3 4
1-27 1-27
Handbook
Table
6-39 6-46 6-56
Calculation of Radioactivity
Subject
Pu
1-5
SELECTED DATA AND FORMULAS AND GUIDE
33
Fig. A
1-6
GENERAL DATA Table 8.
Health Physics
Subject
Ionization, stopping power, etc., in tissue: Specific ionization and range as a function of energy Stopping power as a function of energy Relative biological effectiveness, RBE: General values for particles Heavy-ionizing particles as a function of specific ionization Effect of radiation Dose and dose rate: Maximum permissible, various parts of body Natural background Clinical X-ray exposures Flux for maximum permissible exposure: Various particles Neutrons of various energy Summary table Photon flux for 1 rad/hr. Absorbed and biological dose from neutron beams Maximum permissible concentrations in air and water: General radioisotopes Maximum permissible concentrations in the body
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Specific
[SEC.
Handbook section and page
7-34 7-36 7-32 7-27 7-28
Table
3
Fig. 4 2
Fig. 1
7-30. 31 7-35 7-37
Figs. 2,3
7-32 17-3S I 7-84 1-43 7-66 7-31 to 44
2 4 13 37 3 Figs. 5-13
7-44 11-141 11-141
5 6
7 39 39
1
SEC.
1-1]
Table 9.
Shielding
Subject
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1-7
SELECTED DATA AND FORMULAS AND GUIDE
Gummashielding: Absorption coefficients: Total mass attenuation coefficients for elements, air, Nal, HtO, concrete tissue Total mass and linear attenuation coefficients for metallic shield materials . Energy-absorption mass attenuation coefficients for elements, air, Nal. HiO, concrete, tissue Dose build-up factors: Point source Plane source Constants for analytic functions Energy absorption build-up factors: Point source Gamma sources and energy distribution: Fission prompt y rays Fission- product- decay 7-ray energy groups Capture 7 rays Fission-product 7-ray yield, half-life, and energy Attenuation (illustrative and specific cases); Lead for Co*0 and Cs117sources Relaxation lengths Tenth-thicknesses for l-Mev 7 rays Neutronshielding: Dominant energy in hydrogenous shield Removal cross sections for fission neutrons Microscopic removal cross sections for hydrogenous materials Neutron sources and energy distribution: lTm fission Delayed neutrons • Alpha neutron sources Photoneutron sources Attenuation (illustrative and specific data): Fist neutrons by water t Relaxation lengths for fast neutrons Boron, lithium, and nitrogen reaction data Shieldmaterials (including attenuation properties): Compositions and properties of concretes Aggregates Grouts Ordinary concrete Barytes High-density Physical properties Cost Properties of transparent shield materials
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Fig. 14
Cp
f
Carbon dioxide.
29
Usual Temperature Temperature Temperature
Cp, ii, k,
Argon .
Table
Cp, n, k,
Pr
12-129 9-2 9-25 9-2 9-3
I
Eq. (3) 2 3 4 5
Eq. (4) 6
7 8
Helium.
c„ M, *, Pr
Temperature Temperature
9-5 9-25
Hydrogen.
c„ ii, k, Pr
Temperature Temp., press. Temperature
9-5 9-6 9-25
Eq. (10)
Pressure
Pressure
9-6 9-7 9-25 9-3
12 13 Eq. (2) 6
Temperature
9-25
Eq. (6)
Nitrogen.
cp, ii, k, Pr
f
Temp., press. Temperature
Oxygen. Steam and water: Steam and water.
Molliere chart Saturated-Bteam
Steam.
Superheated-steam
tables
tables
Cp
Pr Light water.
Critical properties r Cp k
f
p(0-IOO°C) Pr Heavy-water vapor. Heavy water
Critical properties (temp., press., density) Vapor pressure Latent heat of vaporisa tion e(IO-250°C) x e,
metals:} General table Vap. press., Vap. press., Vap. press., P. Cp, it, k Vap. press., Vap. press., Vap. press., Vap. press., Vap. press., Vap. press., Vap. press.,
Lead
Lead-bismuth eutectic Magnesium Mercury Potassium Sodium-potassium alloys Tin
p. Cp, it, k p, cp, it, k p, Cp, it, k p, p, p. p. p. p. p,
c„
Temperature Temperature
Temperature Temperature Temperature Temperature Temperature Temperature Temperature Temperature
n, k
Cp eP, it, Cp, it, cP, it, cp, it, c„, a,
k k k k
Temperature
*
Miscellaneous: Molten sodium hydroxide. . P. e,, a, * Diphenyl. liquid} Vap. press., p. cp, a
Temperature Temperature Temperature
P „
Comparison of reactor
cool
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ants
9-17 9-22 9-22 9-26, 27 See index
Physical snd nuclear prop
* s>= density, cp =»specific heat at constant pressure, viscosity, Pr — Prandtl number, v = specific volume.
where T is the absolute t Tables for molten points and latent heats.
of expansion.
11.
k — thermal
thermal
data
pM
including
Handbook
Dimensionless
section and page
ratios
9-32
-
Orifices
Equivalent diameter of noncirculur Turbulent flow: Long channels Fanning factor Pipe lit rum-
duct
of cross section and nozilcs in pipes Equivalent diameters of noncircular ducts Liquid-gas mixtures Heat flow: Thermal conduction: Plates, cylinders, and spheres Packed beds with stagnant fluid Forced convection in uniform channels: Turbulent flow: Nonmetallic fluids Metallic fluids Laminar flow Forced convection outside of channels Natural convection Combined natural and forced convection. Condensation Change Orifices
Boiling Hot-channel factors
For gases 0 = \/T, melting
and boiling
Fluid Flow and Heat Flow
Subject
Fluid friction and pressure drop: Streamline flow: Long channels Redistribution loss
34-40 52-59. Art. 4.2 29-33J, Art. 2.2 64-66 see Table
Corrosion and Wear Resistance of Structural Medium
1.2
n
to 51
to 51
f
Table
section and page
The elements: Physical properties Electron configuration. . . Atomic radii Fuels and fertile materials: Uranium
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Table
Properties of Materials*
Material and property
Table 14.
[Sec.
15.
Materials
section and page
Table
10-20. 21 10-75 to 82 f 10-59 I 12-74
Figs. 1. 2 1-8 51 34
1
SELECTED DATA AND FORMULAS AND GUIDE Table 15.
Radiation
Damage Handbook
Material
Table
section
and page Graphite Graphite-uranium Bervllium oxide
10-110 to 116 10-122 10-116 10-118 to 122 10-106 to 108 10-124 10-133 10-136 10-140 10-142 10-144
oxide
Water and aqueous solutions Elastomers Plastics
Table 16.
Handbook
By nuclides Table 17.
I 2
7-16 11- 12 to 24 11-28 to 31 11-25
2 4 5
Handbook
Capital
Lower case
A B
a, a ft s
Gamma Delta Epsilon
A
o, d
Z«ta
Z
Eta Theta Iota Kappa Lambda Mu
H
f
7
E «,
i
e
K A
M
Fig. 4 33 6. 7
section and page
Table
13-124 to Ml 10-84 to 91
1-7 1-7
The Greek Alphabet
Table 18.
r
Fig. 3
Particulars of Reactors
Subject
Beta
Table
11-4 11-5 to 7
11-26 1-39 11-32
Gross
Name
Capital
Nu
N
Omicron
0
Xi
Pi Rho
Lower case
{
n P 2
1
Tau
T
0, <>
Upsilon
T
1 X JC,
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section and page
Periodic chart of the elements Physical properties of the elements Fission-product nuclides: Half-life and energy of fission nuclides Yield and decay characteristics Composition of fission products as a function of cooling time Fission-product activity Fission-product heat:
Table 19 gives some important mathematical constants. stants are given to greater accuracy in Table 1 of Sec. 1-2. Table 19.
■/« 0.36788
.1/
log e
Id 10
2.3026
These and other con
Constants 1.1284
0.31331 I 111
0.43429
* Factor used in correcting 2.2
Mathematical
9.8696
3. 14159
1
2.71828
In 2
First zero of Jt(x)
0.69314
2.4048
for Maxwell distribution.
Engineering
Units and Conversion Factors
The column "More Table 20 gives conversion factors for engineering units. exact value" includes definitions (marked with asterisks) and equivalents calculated from definitions. Table 20.
Conversion Factors for Engineering
Units Reference
Usual Unit
engineering
approximation
More exact value
to Sec. 1-3
Other units Definition
and
conversion
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factors 1 cm 1 in
0.3937 in.
Art. 2.11 Art. 2.11
2.54 cm
0. 393 7*t 2 540005
0. 001076 ft< 6.45 «'in' 929 cm1
0.001076387 6.451626 929.0275
1 ft' 11
3.53 X l0-«ft» 2.83 X 10' cm' 1.000 fin • 231 in.'
3.531445 28.317.02 1.000.028 231*
1 kg 1 lb
2.205 1b 453. 6 g
2.204622
453.5924277*t
Art. 2.12 Art. 2.12
1 day 1 year
86,400 aec. 3. 16 X 10' sec
86.400* (mean solar day) 3. 155695 X 10'
Art. 2.13 Art. 2.13
Standard gravity, go Standard gravity, yo
32. 2 ft/seo> 981 cm/sec»
32. 1740
Art. 2.14 Art. 2.14
1 lb/ft>
62. 4 lb /ft'
0.0160 g/cm'
62.42833 0.01601837
1 atmosphere
14.7 psi
1.013.250* dynes /om»
Table 14
tr
Hie + H(tr
- 273°C 32) - 460°F
-273.16* -459.69
Art. 2.21 Art. 2.21
10' ergs 4. 187 joules 0.00397 Btu 252 cal 1.60 X 10" joule
10'* 4. 18684 0.00396832 251.996 1.60206 X 10-"
Art. Art. Art. Art. Art.
Table 4 Table 5
1 in." 1 ft'
Time
tc
Absolute zero Absolute zero 1 joule = 1 watt-sec 1 I.T. cal 1 I.T. oal 1 Btu
1 kw 3412. 10 Art. 2.3 34l2Btu/hr Heat flux and power density Table 22 13.270 Btu/(hr)(ft») 13.272. 1 Table 22 3.170 Btu/(hr) (ft") 3.170.20 96,600 Btu/(hr)(ft«) 1 watt/cm' a lkw/1 Table 23 96.620.4 * Exact value by definition. f United States definition. Other measures involving this unit are based on this definition.
1-13
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
2,3
Physical
Constants and Conversion Factors
For more exact values and additional data, see Art. 4 of Sec. 1-3. 2.31 Physical Constants. Table 21 gives the physical constants most used in nuclear engineering (see Art. 4.2 of Sec. 1-3). 2.32
Mass and Energy and Wavelength 1 amu = 1.660 X 10_M g = 931 Mev Mass of electron = 0.00055 g = 0.51 Mev
For masses of particles, energy equivalents, and wavelengths, Table
Avogadro's number N, chemical scale
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Physical
wavelength of
Art.
Best value
0.602 X 10" (g-mole)-'
0.602322
2.86 X 10-»/«M cm
2 86005 X 10 >/c7W
(£ in
4.32 of Sec. 1-3.
Constants
Usual engineering approximation
Constant
De Hroglie neutron
21.
see
X 10"
Reference to Sec. 1-3
Table 27 Table 30
ev)
Bultf manna constant *
8.62 X 10 »ev/°C 4.79 X 10 *ev/°F
8.6167 4.7871
Electronic charge e
1.60 X 10" coulomb 4.80 X I0'°esu
1.60206 4.80286
Energy of 2.200-m/sec neutron
0.0253ev
0.0252973
Table 30
20°C (69°F)
20.426°C(68.767°F)
Table 30
Molar volume of ideal gas at 1 atm.. chemical scale
22.4 X lO'cm'-atm. /g-mole 359 ft'-atm./lb-mol
22.4146 358.746
Physical scale /chemical
1.000
1.000272
3.00 X 10" cm /sec
2.997930
kT temperature for ni/sec neutrons
2.200-
X 10-« X 10' X 10 -'• X 10-"
X 10"
3 3.1
Table 27 Table 27
Table 27 Table 27 Table 27 (footnote) and Art. 4.31
scale
Velocity of light c
Table 27 Table 27
X 10"
Table 27
THE ELEMENTS AND NUCLIDES Atomic Weights and Atomic Numbers
Table 22 gives atomic weights and atomic numbers of the elements. Tables 1 and 2 of Sec. 11 give, respectively, the periodic chart and important physical properties of the elements.
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Tables giving important properties of the nuclides are listed in Tables 4 and 5 of this section. Table 23 is a chart giving selected properties of the naturally occurring nuclides and their neutron-activation products. 3.21 Use of Table 23. This chart gives the atomic number, atomic weight, and neutron absorption cross sections of the elements; the isotopic abundance and neutron absorption cross section of the naturally occurring isotopes; and the half-life and modes of decay of naturally radioactive and neutron-activated product nuclides.
SEC.
1-1]
1-15
SELECTED DATA AND FORMULAS AND GUIDE A Chart of Nuclide Properties
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H
0'
1-16
GENERAL DATA Table 23. G
*s
3 33.4 S•
rC!
» 35 ■ 35.94
..A
5 39■, )
■K
r
?. 40Ot
*0Co
» .4 4
„Sc
» 2 47.K
«TI
» ex SCLK
oV
#■ 4J MO
„Cr
r J 34.t4
»Mn
r 13.3
3i»
■*
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itCo
» ST 5671
MNi
U.34
„Cu
r 17
joZn
• HO n.72
„Ga uGt
»A; «St „Br HKr .rRb »Sr »v «»Zr «Nb „Mo „Tc
72*0 V ?3 74* r 43 7«SC # 13 739* V 6C •ISO •&4fl # 7 •7*3 « IS M»2 » 1.3 >?2 * * • I M»5 r
U
A Chart of Nuclide Properties.
[Sec. (Continued)
1
A Chart of Nuclide Properties.
Table 23. On r 15 Rh ■> LO
* 00 06.4
r
•
Ru
•01 104 WO ■
I
V 44
190 174 110
Cd
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W44 HAS • u
1X4
129
m
J
r
117 M
124 127 00*2 36A4 K
IIS Ml
»«
HO
, 1
»J r
* .7 -WW
..
J
129 <30 29.4 4J
13) 2L2
r
132 (33 i34 29l9 92TeJ KX4
v < 9 # 49 w < B # no w < 3
Bo Wfl—
[5«**2794 iT]
T. Notmrt batin*, it.
r
ISO ami r
9
r<9 2Jl
i33
r
139 64
7
l-.sl
Ct 139 134 <37 136 139 131 192 r 2* 113 1 717 99w 44 74 242 IL64 0.097 •» 1 r <4 r 9 * < 1 r 4 1* 49 «X r 3
•Mr
r
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-2»IO»,[
147 «c.«
144
149
144
I4T
144
144
130
149
149
I-9XC7*
t 8290 1123
922
En TP" 9000
r 4VX
6d
040
2344 2J9
W.T
204
137 199 19.7 24.9
199 m
WO 2L9
r M fi' 724 too
-wopoc
r <129 K
Tb '37 198 w «3 fiI9« 0092 64ft aow 1544 229
» 43
K
* «00
,.H,
l«2 0J3C
' 194 «3 79m L94 R
199 o> K
144 534
167 224
51
r
Nd
» 49
* 94 _ *727 MEr « 170
™'
f
145
■Or
r
'U. L
123 124 129 UI 4i 4* • X v AO" ao. ..2 «.«- f.O04
124 127 129 129 130 131 344 WW,23m 314 19.7 * M IK)dLt. r .019334IT. W 14 ♦4 94*fi' ♦.13 72- fi' * .2 ■30 29.0m '"^ « 64 »:w
129 tJt
- .QL-—121
■4*rr
r 3400C
m
121
123 7J0
. •. ■
r « t«a;3
I99J
J*
oo
■ a 3739
4.4m I.T.42. fi- |
1
IT, ,22m 1Pd1" 33* 1 » uO HQ*Ptl.TJ I lf>0f» *t .10 | 1 116 H7 at •13 114 H5 HZ 7« 3h IT. 12.8 244 12.3 28.8 r J4 *3d0" SOW 93hfi~ » .03+27.00C fl-
r .001 ♦J m
r «»
T
.4 fi
K.L •*
1
■98 mM9 94«fir 13. 0.39 14.3
r 16 132*
103 ..Si. - •03 4CM <9h
«■ 1.2 «"
Ok K
r .006
*10
-F'
'94 12.7 12.7 17.0 31.9
Afl KM * 30 («,*♦. * MS 12.4 1.3 L22 6.7K an T
122 123 '24 90. 37 244 43 Sb on r 7* f»Jfi r 3.5 fi~ aow 604 2.9 0.99 48 XX • TO'74 K v 2.7* 400 # 7
» u <2T«
(Continued)
»
M 1.9
r
UJ
.Ce
97
*- II fi' » 91.4 2-3>n■464 ■
"44 In 12 * 91 1.02 B2< aw
» L2 1642
r
K
*S300
,Cl
96 18
in '04 >09 1.0 106 ior 27.3 7XK3*y 26,7 I3.CH ■4 H
•03 22.2
** to 0241
»*4
1-17
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
9.7m
r
(84
w 2
170 M9
169 944 fi'
163 2\0
164 262 2700
«t.L 168 271
162 299
r
9
171
f
Ho
163 2.32h fi166 100 2T.2h l>30|) m 64 fi'
GENERAL DATA
1-18 Table 23. •67.27 HEr „Tm *,*» „Lu
„Hf
Yb
174 018
179 70d
r K>6 I0O95
*~O00
K
r
1
r
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The data presented and the method of using the chart are explained in the key at the The following limitations of Table 23 should be noted. top of the chart. Cross Sections. Cross sections are for 2,200-m/sec neutrons with the following exceptions. 1. Where cross sections are given for the spectrum of pile neutrons, this is denoted by the subscript PN. 2. Where the absorption (or fission) cross section is not l/t»-dependcnt, the value has been multiplied by the appropriate factor,1'* so that a correct average cross section for the Maxwell distribution will be obtained when the Maxwell-distribution
The factors are: Cd and Cd11', 1.3; Xe1", 1.16; factor V»72 = 1/1.128 is applied. Sm, 1.5; Eu, 0.95; Gd, 0.85; Hg, 0.95; U, 0.99 for o-„ and 0.981 for 07; U"s, 0.981 for o-„ and a/. For consistent treatment, the cross sections for Pu"9 should be multiplied hy the factor 1.075, but this factor is highly energy-dependent, increasing to over 2.0 in the range of temperatures used in power reactors. The cross sections of this nuclide (and other fuel nuclides also) are therefore read from curves or tables as a function of energy or temperature. The energy of emitted particles is not given. Energy of Decay. Gamma Emission. Decay and neutron capture are usually accompanied by gamma Also, no notice is taken of exceptions, emission, which is not specifically indicated. such as decay unaccompanied by y rays, or emission, by internal conversion, of orbital electrons instead of y rays. Isomeric states are indicated only where they arise from Isomeric Transition.^ neutron activation and have a long enough half-life to affect significantly the activity of the irradiated material. The principal mode is given first; modes accounting More Than One Mode of Decay. for less than 10 per cent of the decay are given in parentheses. 3.22
Important
Charts of Nuclides.
Charts of the nuclides usually include all
known nuclides, stable and unstable, and may give as much nuclear data as con sistent with readability. The General Electric "Chart of the Nuclides" (1966). Copies of this important wall chart plus an accompanying booklet may be obtained free by writing to Dept. 2-119, General Electric Co., Schenectady, N.Y. This chart was used as the primary reference in preparing Table 23. This is a detailed large-scale accordion-folded Trilinear Chart of Nuclides (1957). strip chart by W. H. Sullivan, for sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C.
4
NUCLEAR
DATA USED IN REACTOR
CALCULATIONS
For references to nuclear by H. Soodak, and Sec. 6-2, by J. R. Dietrich. data presented in this handbook, see Table 5 of this section. See also Ref . 3. See Sec. 2,
4.1
Cross Sections and Related Data
Nuclear properties of moderators are given in Table 13 of Moderators. and Tables 13 and 14 of Sec. 6-2. Table 24 of Sec. 1-1 gives a collection of these For age of metal-water mixtures, see Table 14 of Sec. 6-2. properties. The absorption coefficient and diffusion length of heavy water of Heavy Water. commercial For isotopic purity are greatly decreased by light-water impurity. heavy water of ordinary purity 4.11
Sec. 2
£„
m 0.000033(1
+ 6.56i)
* Superscript numbers refer to References at end of subsection. t Isomeric states (excited states of appreciable half-life) are common in nuclides formed by neutron capture: in the majority of cases, the higher isomer reaches the ground state by gamma emission (iso meric transition) with a half-life measured in minutes or less, although sometimes extending to many months.
*
Mr.
3.51 0.480 0.86 0.385
0.0195 0.0000335 0.00109 0.000342"
0.48 2.86 1.43 2.75
X,, (cm)
0. 159 0.953 0.481 0.917
D (cm)
of Moderators
(cm)
1
2
it
a
J.
tXf ,
~ U.)
- du
by Soodak
(Sec.
2.57 3.70 1.47 2.75
5.6 1.12 9.85 19.08
Vr
and Dietrich
131F 1.291 0.562 1.0161
D
properties
2)
\_ 3
'
Jutk fS.(u) The values tire considerably lower for commercial I)»0 containing fraction of per cent of H2O (see Art. 4.1 ))• ** Based on commercial graphite having aa ~ 0.0048 barn. tt Values of 2.73 and 2.76, and a compromise value of 2.80 are often used for L, with corresponding values of 7.45. 7.62. and 7.84 for L*. — Ed.
a
/ ■/■!!>t"[Z.(u))'(l /"0-5 ro.5
is
~
in selections
1.28} 0. 179J 0. 153 0.612
Epithermal
8. 12ft 28900{ 441 2680
1.40{ 0.351$ 0.737 0.385
(68°F)
{2.
0.920 0.509 0.2078 0. 1589
at 20°C
L' (cm«)
Templin*
2.85ft 170| 21.0 51.8
L.
properties
By
Properties
1.
Collection of these data into necessary in some cases to resolve differences single table has made L. Templin has kindly undertaken the selection of values in this table. reference density of Calculated g/cm*. Actually 0.998 at 20°C. quantities are for Mev to thermal less, Values are from about 0.01 Mev to thermal. 2# averaged from from the formula Calculated
Graphite
0.0334 0.0332 0. 1229 0.0802
2. (cm"')
2. (cm-')
Thermal
Nuclear
L
l.OOt 1.105 1.84 1.60
density, g/cm3
Nuclei per cm3
24.
J.
H,0 D.O Be
Moderator
Reference
Table
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9
1
.
„ 2.
*
1-22
GENERAL DATA
where x is the weight per cent of light water.
[SEC.
1
Other properties are affected in smaller
degree. 4.12
In reactor calculations, the average absorption cross section of a 1/v Fuel. absorber is calculated from the 2,200-m/sec reference value by applying factors for the Maxwell distribution and for temperature (See Sec. 6-2 and Art. 7.12 of Sec. 1-1). The marked departure from 1 /u-dependence exhibited by fuel nuclides is most simply allowed for by substituting adjusted cross sections that will give the correct reaction rate when 1/w-dependence is assumed. Table 25 gives the Westcott* adjusted values for IP" Um, and Pu2». The Maxwell distribution factor (0.886 or 1/1.128) and the temperature factor [V293/(273 + l°C)] must still be applied, since Table 25 gives only the secondary corrections necessary to give 1/v-equivalent cross sections.
_
9
a
V293/(273 +
t)
1.128
where t = temperature, °C
The parameter r in Table 25 takes into account the density of epithermal neutrons in the \/E "tail" from slowing down of fission neutrons. neutron density in
X
"tail"
(total neutron density)
2
is
it is
is,
The table assumes the tail to be superimposed on the Maxwell distribution, with a cutoff at bkT [4.317'(°K) X 10~4 ev) as the lower limit. The condition r = 0 corre sponds to a pure Maxwell distribution, and the values for this condition may be used for calculations of well-moderated reactors. For other reactors, the parameter r must be estimated or calculated from reactor theory, and Table 25 may then be read by Westcott states that r for the NRX reactor is 0.03 in the moderator interpolation. and 0.07 in the fuel. Since reactor calculations are usually based on the thermal-neutron density and the Westcott cross sections are based on total neutron density, some further adjustment is indicated for consistent treatment of diffusion-dependent terms in reactor theory. however, dependent on the particular model used in calculation, The adjustment and, since usually not very important, generally ignored. 4.13 Fission Products. Table 26 gives absorption cross sections of fission products and yields of xenon and samarium. See Tables 15 to 17 of Sec. 2. 4.14 Other Materials. Table 27 gives data for other common constituents of Table 19 of Sec. reactor cores. gives data for all naturally occurring elements.
it
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1.01
SEC.
SELECTED DATA AND FORMULAS AND GUIDE
1-1]
Table
26.
Fission-product
Thermal
Cross Sections
Cross section,
barns
Yield per
Fission product
fission, per cent
1-23
2. 200 m /sec
Maxwell distribution
Handbook reference
at 20°C
6.9
Samarium1***
1.3
Sec.
2.72 X 10'
2.80 X 10"
6.6
5.0 X 10*
X
Total
10*
products:
At lero burnup
After 10 per cent burnup at
>t>
Other fission
Tables ! 5 and 16 of
b b
100 100
=* I0H
7I«
80 65
2.
See
Table 16 of Sec. Table 19 of Sec.
Art. 4.3 of Sec.
58ft
also
Table 4 of Sec. 11. 2 2.
0.3
Indirect
2
Xenon1"*: Direct from fission
*
The tabulated yields (or yields close to them) are commonly used in reactor calculations. Xenon given by different observers cover a wide range. The cross section data are from BNL 325, Supplement . Two sets of data for Xe1" (S. Bernstein and E. C. Smith), combined with two assumptions of spin factor, give four possible values, ranging from 2.19 to 2.76 megabarns for 2,200-m/sec neutrons. The four values for the average cross section over a Maxwell distribution would, according to Westcott's Weatcott prefers the highest values, which are in close analysis.1 range from 2.17 to 2.83 megabarns. agreement with those of BNL 325. The values for Xe1" given by Westcott are:
1
Temperature and Maxwell distribution factors lations (see Art. 4.12). Cross section per fission. Assuming /e dependence.
300
400
500
600
3.208
3.388
3.419
...
must be applied to
3
Temperature, °K
X t
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$
1
yields
700 3.251
for conventional reactor calcu
GENERAL DATA
1-24
[SEC. 1 Macroscopic Properties
Table 27.
Thermal General properties Microscopic crosssections Element and atomic number Atomic weight
A.t
Reference density P. g/cm"
Atoms per cm" 0.6023X I0»
„ N-
A cm-1
,
era em'
1 — itn
X gC
12 01 22 997 24 32 26 98 28 09
1.600 0.97 1.74 2 699 2 33
.0802 .0254 .0431 .0603 .0500
.9440 .9708 .9724 .9751 .9761
wCr
30.975 32.066 39.100 47 90 52 01
1.82 2.07 0.86 4.54 7.19
.0354 .0389 .0132 .0571 .0833
9783 .9790 .9828 .9860 .9871
.19 .49 1.97 5.6 2 9
!sMn »Ke nPo a*.\i ■Co
54 93 55 85 58 94 58 69 63.54
7.43 7 87 8.9 8 9 8 96
.0815 .0849 .0909 .0913 .0849
.9878 .9880 .9886 .9885 .9894
13.2 2 53 37 4.6 3.62
91.22 92.91 95.95 118.7 183.92
6 5 8 55 10.2 7 298 19 3
.0429 .0554 .0640 .0370 .0632
.9926 .9928 .9930 .9943 .9963
,!Pb .slii »Th
207.21 209 00 232.12
11.34 9.8 11.5
.0330 .0282 0298
.9968 .9968 .9971
uNs uAl uSi nP >&
,.K „Ti
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• Table 27 Rives data for elementslikely to be presentas important constituentsof reactors. Table 24 BhoukJ be used for
SEC. 1-1]
of Elements for Thermal
Reactors*
properties
Epithermal properties
Microscopic properties
Macroscopic properties
Z. cm"1
1-25
SELECTED DATA AND FORMULAS AND GUIDE
-
cm *
2«,
-
cm"1
1/Z.r em
ft cm*
t
Macroscopic properties Ele ment 2
=
cmr1
«3. cm "'
Z.(l
- SO
X„~
cm"1
cm
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X 10" 000228 .0114 .00241 0123 .0058
385 .102 .155 084 .085
.364 .099 .151 .082 .083
2.75 10. 1 6.6 12.2 12.1
4.8 3.1 3 4 1.4 2 2
.1589 0852 0807 .0730 .0702
.385 .079 .147 .084 .110
.061 0067 .0118 .0062 .0077
.364 .076 .142 .082 .107
2.75 13.1 7.0 12 2 9.3
0060 .0169 .0231 .283 .214
.18 043 .0199 .23 .25
.17 .042 .0195 .23 25
5.8 24 51 4.4 4.1
3.4 1.1 2.1 4.2 3.9
.0637 .0616 .0507 .0415 .0383
.120 .043 .028 .2+0 .325
.0077 0026 .00141 .0100 .0124
.118 .042 .027 .240 .321
8.5 24 37 4 23 3.12
1.9 11.4 5 8 17.4 7.7
0363 .0357 .0338 .0340 0314
.155 .968 .528 1.59 .654
.0056 .0345 .0178 .0540 .0205
.153 .956 .521 1.57 .647
.953 .190 2 98 .372 .273
.187 .93 .64 1.60 .612
.185 .92 .63 1.58 .605
00685 .054 .142 .0197 1 08
34 .28 .45 .15 .32
.34 .28 .45 .15 .31
2 9 3.6 2.2 6.8 3.2
6.2 6.5 6.0 4.8 5 6
0220 .0216 .0209 .0169 .0109
.266 .360 .384 .178 .354
.00585 .00778 00803 00300 .00386
.00497 00080 .222
.36 25 373
.36 25 .372
2.8 3.9 2.69
11.3 9.28 12 5
.0097 .0096 .0087
.372 .262 .373
O036I 00252 .00324
moderators.
5.4 1 08 1.6 .633 1.65
C Na Mg
Al Si P s
E Ti
a
6.5 1.05 1.92 .637 1.55
Mo Fe Co Ni Cn
.264 .358 .381 .177 .353
3.79 2.80 2.62 5 66 2.84
Zr Nb Mo tin W
.371 .261 .372
2.69 3.83 2.69
Pb Bi Th
Table 18 of Sec. 2 gives the basic data for all the elements, and Table 20 of See. 2 gives resonance integrals.
1-26
GENERAL DATA
4.21
Neutron Additional
Table 28 gives neutron-regeneration Regeneration. data are given in Table 6 of Sec. 2.
-
-
« =
1
Fission Data
4.2
fuels.
[Sec.
1
v
V
- '/d
data
for
+ a)
4.22 Other Fission Data. References to other data (including fission-neutron spectrum, energy dependence of nuclear properties, spontaneous fission rates, photoneutron yield, fission-product distribution, and dclayed-neutron data) are given in Table 5 of this section.
Table 28.
Neutron-regeneration
U'"
Neutrons per thermal absorption ij
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Captures per fission at/af = a
*-
1
— \
Data* U'»
Pu"»t
Natural uranium
2.52 2.28
2.47 2.07
2.91 2.09
2.47 1.34
0. 105
0. 192
0.39
0.85
•"World consistent" data for 2.200-m/aec neutrons, Ref. 1, 1957 Supplement. These data differ slightly from those of Sec. 2. Table 6. For the neutron spectrum of a thermal reactor, a and ij can be calculated from Table 25 and v of this table. In thermal reactors, the strong resonance of t All values in the table are for 2.200-m/seo neutrons. Pu!3v causes a to be considerably higher and y considerably lower than the tabulated values. See Table 25 of this section and Art. 6.5 of See. 6-1. 6
CONSTANTS AND FORMULAS RELATING POWER, FLUX, AND FUEL CONSUMPTION
See Sec. 6-2, by
J. R.
Dietrich, 5.1
and Sec. 12-2, by L. E. Link and Walter H. Zinn. Energy
from Fission
The available energy per fission is usually taken as 200 Mev.* The energy dis tribution for fission of U"' by thermal neutrons is given in Table 1 of Sec. 2. Table 29 See also Table 28 of gives some frequently used energy and fission equivalents. Sec. 1-3.
Table 29.
Fission Energy Equivalents*
= 3. 20 X 10-11 joules (or watt-sec) 1 fission I joule 3. 12 X 10'° fissions = 3. 12 X 10'" fissions /sec I watt I Mwd (megawatt-day) — 2. 70 X 10" fissions * Bused on 200 Mev per fission and 1 ev «= 1.60203 X I0~" ergs.
-
6.2 6.21
Average Thermal Flux and Power *!* =
Mw whore
Flux-Power Relations
t\
Mw
— =
-
i
K X x
10"
i*.
X
specific power
X kK
average thermal flux,t n/(rm1)(sec) power, Mw
* Formulas in this article are based on 200 Mev /fission for the total beat generation in the reactor and shielding. A small adjustment must be made to apply the formulas to heat generation in the core alone. t *ia is the average thermal flux in fuel. For an effectively homogeneous reactor this ia the same as the average over the core.
SEC. 1-1]
SELECTED DATA AND FORMULAS AND GUIDE
--
kg specific power
= mass of fissionable material, kg = Mw/kg of fissionable nuclide
K "
constant as given below
General Formula for
Constant
the
K
A' =
where A 9/
E
1-27
Eq.
1'036(^)
(96) of Sec. 6-2
= atomic weight of isotope, g = microscopic fission cross section (averaged over the Maxwell
distribution at operating temperature, with allowance for deviation from 1/v depend ence), barns = energy per fission, Mev
E
= (8.617
X 10-')r(°K)
X 10-')r(°R)
= (4.787
For a Mixture of Fuels i
E
i
IK
Value of K and I for (/"*. Table 30 gives = 200 Mev, a, (r=0) from Table 25.
K
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Table 30.
and
K and 1 /K for U"6 baaed 1/K
on A = 235 g,
for U»s
Temperature, °C
50
20
K MK 6.22
100
2.55 0.392
2.41
0.414
Fast Flux.
2.77 0.361
150
200
250
2.98 0.335
3.18 0.315
3.36 0.297
300
350
400
3.54 0.282
3.72 0.269
3.88 0.257
Virgin Flux
3.12
X
10'" v
X
=
(watts /cm')
«■= number of neutrons per fission (2.47 for Um) 2 = total macroscopic cross section of reactor material for virgin neutrons Tico-group Fast Flux. See Art. 6.5 of Sec. 6-2 (also Art. 7.71 of this section).
where
6.3
Consumption of Fissionable
Material
Art. 1.1 of Sec. 12-2. One gram of fuel fissioned yields approximately 0.95 Mwd. Table 31 gives fuel consumption (including nonfission capture) based on 200 Mev per fission. See
Table
31.
Consumption Rate of Fuel, Grams per Megawatt-day* Thermal reactors General formula (j4 =» atomic weight of nuclide,
rjm
a
Consumption, grama /Mwd * For highly enriched reactors
0.00445AO + o)/« t — t; for large natural-uranium
-
0.105 a
1.15/. graphite
reactors
-
puin 0.192
l.25/< «
*
1.04.
a
-
0.39
1. 48/«
GENERAL DATA
1-28 and Burnup
5.31 Exposure 1,000 kw of fission
Units.
Based on the rough approximation
heat corresponds to fission of 1 g of fuel per day:
«
of fuel fissioned
1 per cent
10,000
More exactly: 1
= 9,500 = 8,600
per cent of fuel fissioned
1
[SEC.
that
Mwd/tonne
Mwd/tonne Mwd/ton (2,000 lb) or of
For 1 per cent of atoms consumed, including radiative capture, divide the 9,500 8,600 by (1 + a). For nominal values of a (Table 31), the Mwd/tonne equivalents 1 per cent burnup of Um, U"», Pu2" arc 8,600, 8,000, and 6,800, respectively. For average burnup based on heat developed in the core, multiply these numbers
by
Heat retained in core /(heat in core + heat outside core) Conversion and Breeding
5.4
5.41 Available Neutrons. The parameters n, /, P, R2, and t have their customary meanings (sec Art. 7 of this section). Values of t) at 2,200 m/soc: U"1, 2.28; U"6, 2.07; Pu"9, 2.09.
Neutrons available for breeding or converting in core Neutrons absorbed in fissionable
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where
L P
= leakage = probability
material
(1
L)
that a neutron will not leak from the core
^
P
/ (see
^
/
Art. 2.31 of
Sec. 12-2)
Conversion Ratio
5.42
C ,
.
where
_
- - -I q
1
atoms generated s ; atoms destroyed I = neutrons lost (by leakage and capture in all but fissionable materials) per neutron absorbed in fissionable material (see Art. 2.33 of Sec. 12-2)
C
Initial
.
„. = conversion ratio
Conversion
=
Ratio TOa
where r = fraction of 5.43
U"* in uranium mixture
Breeding or Conversion Gain (C > G = C
6.44
-
I
1)
= r,
(see
- -I 2
Doubling Time ,. .. Doubling time in uuys = ,
T.
.
.
Fuel Utilization (C <
Art. 2.34 of Sec. 12-2)
:
G (daily fuel consumption, grams) 31 and
the megawatts of heat.
1)
Upper limit where 7? = fraction of fissionable (see Art. 2.34 of Sec. 12-2) 6
(see
inventory of fissionable material, grams —- — —
The daily fuel consumption is obtained from Table 6.45
Art. 2.33 of Sec. 12-2)
R
1
-C
material in mixture of fuel and fertile material
NUMERICAL INTEGRATION BY SIMPSON'S RULE
Various methods of numerical integration, including Simpson's rule, are discussed in Art. 1.4 of Sec. 3-2. Simpson's rule is widely used for integrating nonanalytic
SELECTED DATA AND FORMULAS AND GUIDE
Sec. 1-1]
1-29
functions, including determination of reactor constants from empirical data. tical application is summarized below.
To evaluate
Jb
Prac
y dx, where y is a function of x:
If n is the 1. Divide the interval ab into an even number of equal intervals h. number of intervals, h = (6 — a)/n. 2. Evaluate y (analytically, from tables, by measurement, or from empirical data) = a, = a + h, x = a + 2h, . . . , x = b. at h fb 3. / y dx = {y„ + 4ya+k + 2j/„+2a + iya+3\ + 2j/„+,» + • • • + 4//»_* + j/i] ■/» 3
i
i
-
Example: To evaluate
y
xJo(x) dx by Simpson's rule, divide the interval
1
to
2
into four equal parts, h = 0.25
From
x tables,
J,(x) xJa{x)
xJo(x)
dx =
— [0.7652
- 0.7134 3
1.25 0.6459 0.8074
1
0.7652 0.7652
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2.0 0.2239 0.4478
+ 3.2294 + 1.5354 + 2.5828 + 0.4478]
The correct solution, using the analytic relation 7
1.75 0.3600 0.6457
1.5 0.5118 0.7677
REACTOR
JxJo(x)
dx =
xJi(x),
is 0.7133.
CALCULATIONS
6-2, by J. R. Dietrich. This article, like others of Sec. 1-1, is a guide to a major section of the handbook and should not be used alone. Formulas have been selected from Sec. 6-2 to highlight the steps of criticality calculation and to serve as a framework for references to the detailed instructions contained in Sec. 6-2. For additional tabulated data, see also Table 5 of Sec. 1-1. Article 11 of Sec. 6-2 gives examples showing application of See Sec.
formulas.
Nomenclature
kCm
A = atomic weight of element, g. Mass number of nucleus relative to mass of neutron, dimensionless B* = buckling, cm-! D = diffusion coefficient, cm. E = neutron energy, ev. Also a dimensionless constant F = dimensionless constant f = thermal utilization, dimensionless k = multiplication constant in infinite medium, dimensionless kT) = Boltzmann constant, ev/deg L = diffusion length, cm L, = slowing-down length, cm .v/= = migration area, cm* N = number of nuclei per cubic centimeter, em"' N = 0.6023 X 10" = Avogadro's number, atoms per gram atomic weight, chemical scale, g-1 P = resonance escape probability, dimensionless T = absolute temperature, °K or °R t = temperature, °C or °F V = volume, cm3 V = neutron velocity, cm/sec ( = fast fission factor, dimensionless n = regeneration factor, dimensionless X = reciprocal of diffusion length, cm"'
1-30
GENERAL X = Ao = v =
=
£ p =
S = a = t = =
DATA
[SEC.
1
mean free path of neutron, cm average cosine of scattering angle (numerically mo = 2/3/1), dimcnsionless average number of neutrons emitted per fission, dimensionless average logarithmic change of energy per collision, dimensionless density, g/cm* macroscopic cross section, cm-1 microscopic cross section, cm* Fermi age, cm2 neutron flux, cm-1 sec-1
Subscripts 0 = initial or standard condition 1 = fuel region 2 = moderator region 3 =
clad region
a — absorption = fast (when used with a denotes fission) t = t'th component of a mixture s = scattering th = thermal
v
/
tr = transport 7.1
Average Thermal
Microscopic
Absorption
Cross Section
aa
The reference energy used in selection of Energy of Thermal Neutrons. cross-section data is the energy corresponding to the most probable velocity in the Maxwell distribution at the operating temperature [see Eq. (63) of Sec. 6-2].
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7.11
kT
X lO-'T
= 8.617 = 4.787
X 10-T
T T
ev ev
= =
°K °R
In thermal reactors, T may exceed the moderater Effective Neutron Temperature T. temperature by about 50°C. See Art. 4.4 of Sec. 6-2 and formula in Art. 5.3 of Sec. 2. 7.12 See Eqs. (65) and (66) of Sec. 6-2. 1/v Absorbers with Maxwell Distribution. From 2,200-m/sec Data 293
««0
1.128
!
+ 273)
!
+ 460)
where
°C
529
ffoO
1.128
t =
ffaO
.0253
1.128
E
E
= ev
aaa =
absorption cross section at standard (monocnergetic) neutron velocity of 0.0253 ev 2,200 m/sec (corresponding to an energy of approximately and a kT temperature of approximately 20.4°C or 68.8°F) 9« = average cross section to be applied in conjunction with total thermal flux
2/\/r
= 1.128 is the correction for Maxwell The number The distribution. square-root factor in the formulas is the temperature correction for reactors in which the neutron temperature is not 20°C (69°F). Table 19 of Sec. 2 gives o-„0 for elements and nuclides, and Table 27 of this section gives 9ao — o-„/1.128 for some important elements. From Curves of a„ as a Function of the Energy kT: For curves of aQ for monoenergotic neutrons of energy kT, see "Neutron Cross Sections."1 So
7.13 Non-l/w Absorbers The temperature-correction
=
See Art. 4.3 of Sec. 6-2. with Maxwell Distribution. factor and the 1.128 distribution factor used for l/v
SEC. 1-1] are
absorbers
SELECTED DATA AND FORMULAS AND GUIDE In
not applicable to non-l/v absorbers.
general,
1-31
from Eq. (66) of
Sec. 6-2,
».
- fg'-'.E exp (-E/kT) dE/lkTKEi
(-E,/kT)
+ kT) exp
- (Ei +kT)exp
(~E2/kT)]}
integral can be evaluated (over a sufficient range Ei to Et) from Rcf. 1, example, Simpson's rule (see Art. 6). For practical application the follow ing ampler processes are generally adequate. U«u, u«« and Pu»' {non-\/v absorbers) Determine 9. or 9, for U»", U"«, or Pu"» from 6 in Table 25 of Sec. 1-1. Other non-1 /v A bsorbers 1. For a temperature of 20°C, the cross section is read from Table 18 or 19 of Sec. 2, the 1/1.128 factor is applied, and the result is multiplied by the correction factor given in the table (Cd, 1.3; Xe»», 1.16; Sm, 1.5; Eu, 0.95; Gd, 0.85; Hg, 0.95). 2. For temperatures up to about 250°F (120°C), the cross section for the cor responding kT energy may be read from curves' and the factors used in (a) may be At still higher temperatures the correction may be increasingly in error. applied. 3. Westcott* gives 9a for Mn, Co, Rh, In115, Gd, and Au, in addition to the fuel and fission product nuclides discussed in Arts. 4.12 and 4.13. 7.14 The 1/E "Tail." The departure from Maxwell distribution at the highenergy end of the spectrum, due to slowing-down neutrons, is discussed in Art. 4.4 of Sec. 6-2; it can generally be ignored (Table 25 and other data from Westcott2 take the l/E "tail" into account). where the
Macroscopic Cross Sections 2
7.2 7.21
Single Nuclide or Element (All Cross Sections)
A If Z*
u known for a material at standard density p0 (e.g., Table 27 of Sec. 1-1 and Sec. 2) 2 at some other density p is given by 2 = 20(p/po).
Table 18 of 7.22
Homogeneous Mixtures (All Cross Sections) Eq. (3) of Sec. 6-2 the partial density or g/cm' of the ith material. Mean Free Path X. Single Nuclides or Homogeneous Mixtures
»here p, is 7.23
Sectioas): X = 1/2. 7.24 Average Macroscopic
(All Cross
Absorption Cross Section. 2„ must be averaged The Maxwell neutron energy distribution and corrected for temperature. corrections described for microscopic absorption cross sections may be applied either to tr, or to 2a. Table 27 of Section 1-1 gives 2„ already corrected for the Maxwell distribution at room temperature; for other temperatures, the temperature correction must be applied. 7.26 Special Cases. Other macroscopic cross sections are discussed in Art. 7.5.
over the
7.3 7.81
Average Logarithmic Change of Energy per Collision. £ =
*here
and Scattering Constants
Slowing-down
In
^ E
r =
(AM
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using, for
\A
1
~
+
—!— 1 —
'V
+ 1/
r
In r
Sec Art . 3. 1 of Sec. 6-2.
Eq.
(36) of Sec. 6-2
Eq. (35) of Sec. 6-2
GENERAL DATA
1-32 Values of
{
for the elements are given in Table
I
=
[SEC. For
of Sec. 2.
18
~
1
a mixture of nuclides,
Eq.
(37) of Sec. 6-2
Z2For isotropic scattering in the center-
7.32 Average Cosine of Scattering Angle. of-gravity system, fio = cos 0
- 2/ (3 A)
Art. 1 — Ao is
where 0 is the scattering angle in the laboratory system. in Table 18 of Sec. 2.
k = r,tpf
For calculation of p and
given as
1 —
cos
8
Constant*
Infinite Multiplication
7.4
2.13 of Sec. 6-2
Eq. (168) of Sec. 6-2
/
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in fuel-moderator lattices, the unit cell is idealized (usually to cylindrical geometry), maintaining true fuel and moderator volumes (see Arts. 9.3 and 9.4 of Sec. 6-2). 7.41 Regeneration Factor r>. See Art. 9.2 of Sec. 6-2. If applied to the fissionable isotope, v =
If
applied to a homogeneous
KoY/Va)
fuel mixture
- T viNiv/i
1
i
7.42
See
Homogeneous
(169) of Sec. 6-2
Art.
v and i\. For a heterogeneous fuel element, 11.21 of Sec. 6-2 for a numerical example.
/
Thermal Utilization
/
Eq.
N>
i
gives values of
Table 28 of Sec. see Eq. (170) of Sec. 6-2. 1-1
Jy
= absorption in fuel /total absorption
Mixture
Z.i
Z.i
2a(t,,tiil)
Sal + 2 o(other)
1 ^
^q(otiter)
Eq. (171) of Sec. 6-2
2.,
The subscript "other" means materials other than fuel. Fuel-Moderator Lattice
I[
/
E and F
.
+
rVtS.i L
+ V i2„i
J
F + {E_l)
are calculated from Table 8 of Sec. 6-2, and xt and 13 of Sec. 6-2.
from Table
Disadvantage factor = See
Art.
I?
=
(1
Eq.
(190) of gee.
xj (equals 1/Li and
- l)
Eq.
1
/Li)
(177) of Sec. 6-2
11.22 of Sec. 6-2 for numerical example.
* The macroscopic cross sections entering into reactor theory are usually average valuea for mixtures of materials over particular flux distributions. Where confusion is unlikely, these average cross sections are represented
by X instead of 2.
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
Resonance Escape Probability
7.43
p = exp
I
where
=
A
^
^rom
^Q"
See Art. 9.4 of Sec. 6-2.
p.
Mixture
Homogeneous
(
1-33
- I— /)
Eqs. (57) and (192) of Sec. 6-2
°* ^ec- ^"2, is calculated from £ and ff#((W in
$7)
i
»
Table 22 of Sec. 2
Nt
_
number of absorber atoms/cm* total macroscopic scattering cross section of mixture
=
resonance integral from Fig. 14 (see also Arts. 3.51 and 3.53 of Sec. 6-2). Article 6 of Sec. 2 also gives absorption integrals
2.
I
Fuel-Moderator
Lattice
"
p = exp
f
. If region 2 is a
"
1
— -=
I
N.V,(A + nS/M)
pure moderator,
[ "
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Eqs. (206) and (200) of Sec. 6-2
p = exp
1
NaVM
.
"
+ nS/M)
atoms of resonance absorber (U"s) per cubic centimeter of fuel; E and F from Table 8 of Sec. 6-2 using xi and x2 from Tables 10 and 11 respec tively; S/M = (surface /mass) of fuel lump; A and /j are found from Table 9 of Sec. 6-2 (for natural uranium A = 9.25, /i = 24.7). Modified parameters for uranium and thorium, and their extension to diluted fuel lumps, are given in Tables 21 and 22 of Sec. 2 and are discussed in Art. 6.2 of that where
N
=
are calculated
action.
j.srj for a pure moderator is found from Table 11 of Sec. 6-2 (H20, 38.5; D20, 5.28; C, 0.76). See Art. 11.23 of Sec. 6-2 for a numerical example.
Be, 1.26; 7.44
Fast-fission
Effect
«
t -
fhere cross <= 1 +
(, ~ 1
1
+
-.
- Z./S,) ^ P
-
sections refer to fuel and are defined on p. 6-84.
Eq. (207) of Sec. 6-2
For natural uranium
0.09P/(l 0.52P') (see Table 12 of Sec. 6-2). Pand P' are found from Fig. 15 of Sec. 6-2 and xi (fuel, thermal) = \/L\ from Table 13 of Sec. 6-2. P' corresponds to xi/2( = 0. For close-packed lattices of slightly uranium, see Table
enriched
12
of Sec. 6-2.
See Art. 11.24 of Sec. 6-2 for numerical
examples.
7.6 7.51
Other Material Constants of Reactors
Transport Mean Free Path and Transport Cross Section Arr =
of Sec. 6-2
Values.
l/2(r
For experimental values of X,r for moderators, see Table 13 and Table 24 of Sec. 1-1 (H20, 0.48; D20, 2.80; Be, 1.43; graphite, 2.75).
Experimental
GENERAL DATA
1-34 Calculated
Values.
If
[SEC.
1
experimental data are lacking use
- A.)
2,r = 2.(1
= 2.[1
- (2/3A)]
Values for important elements are given in Table 27 of Sec. 1-1. Mixture
Homogeneous
2(r —
2|r,;
^ i
Experimental values of 2,r.i should be used wherever available: if pa is the standard density of the ith constituent and —!—
—
p,- is
grams of material in
1
cm',
2,,,,-
= 2,r,o,— = Pw
where X,r can be taken from Table 13 of Sec. 6-2 or Table 24 of Sec. 1-1.
Xfr.Oi POi
For
constituents of unknown transport cross section, use 2er.i = 2,v(l — 7.62 Thermal Diffusion Coefficient A*. Homogeneous Medium, Weak Absorber, For a pure medium: Experimental Values.
^■T-^-S^T^ For moderators
X(r is
given in Table
13
D,»
=
l/
of Sec. 6-2; \„,a, and /),* in Table 24 of Sec. 1-1
.
Medium, General Case, Calculated
[32(1
-
-
(l
Ao)
-5
|°
+
|°
+•
•
•)]
Homogeneous
(10) of Sec. 6-2
x„ = 1/2,,
E<1' (9)
°f
Bec" 6"2
d«~
-
j_r 32M
i+™ Ll +m(WSirt)-l
1
is
2
and 2„ are total and absorption macroscopic cross sections, respectively. Fuel- Moderator Lattice. If the ratio of moderator volume to fuel volume large, use Dtk of the moderator. Otherwise,
where
"
£[)
\
D,
s«
0
W -M -
2„ =
^
/)](2.,/2.i) (see Art. 9.6 of Sec. 6.2) where m = [//(l 7.63 Fast Diffusion Coefficient D/. Homogeneous If an average Medium. value of a. can be chosen for the moderator constituents over the energy range from fission to thermal
l/32,r
=
To evaluate for variation of Fuel-Moderator Lattice. medium.
a, with E, see Art. 9.8 of Sec. 6-2. Lumping can usually be neglected; treat as homogeneous
Thermal Diffusion Area
7.64
L»
- l/x« - Z>tt/2,.tt
Eq.
(208) of Sec. 6-2
L
2
is
Experimental Values for Moderators. given in Table 13 of Sec. 6-2, Table 24 of Sec. 1-1, and Table 13 of Sec. (H20, 2.85; pure DjO, 170; Be, 21.0; graphite 52). Homogeneous Mixture. Calculate from above formula. Use experimental values available; otherwise calculate from of
if
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For a mixture:
Eo.
L»
- }i\,rK -
l/(32,r2„)
1-35
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
By combination of Eqs.
Lattice.
Moderator-Fuel
(l-Z + g/)/*-
-
-
«
(177), (208), and (209) of Sec. 6-2
2«i L* £s'(l /) [Eq. (211) of Sec. 6-2), where hi (moderator) is found Table 13 of Sec. 6-2 or an equivalent source. 7.65 t is given in Table 14 of Age t. Experimental Values for Moderators, Sec. 6-2, Table 24 of Sec. 1-1, and Table 13 of Sec. 2 (H20, 31; D20, 125; Be, 97; p&phite, 364).
If T.t from
Calculated Values
for
of Higher Atomic Weight than Beryllium
Moderators
-
"*>
/.*s§>¥
f
from fission source: See Art. 9.9 and Eq. (48) of Sec. 6-2. Moderator-F uel Lattices. Use r for moderator if fuel is uranium (volume fuel)/(volume moderator) is small. (See Art. 9.9 of Sec. 6-2).
Effective age
Two-group
7.66
Area
Slowing-down
L/1 = For hydrogen-moderated reactors,
V
=
(«'*'
—
Eq.
*/'
**
= t
-
(84) of Sec. 6-2
Art. 5.6 of Sec. 6-2
(see Arts. 5.6 and 9.9 of Sec. 6-2)
1)/B«
the buckling according to Fermi theory obtained either from the char equation (1 + LtB1)e,B' = k (if the core material has been selected) or the equivalent bare-reactor equation (Table 5 of Sec. 6-2), if the geometry has
where B* is acteristic from
been chosen.
Fictitious Fast Absorption Cross Section S«/
7.67
2./
Extrapolation Distance For plane black boundary
7.68
=
D,/L,'
« = 0.71X,,
For other cases see Art. 2.22 of Sec. 6-2.
Characteristic Equations
7.6 Fermi Age Theory
(1
Modified One-group Theory 1 where M 1 =
LJ
tj=J M*
Eq.
(93) of Sec. 6-2
+ a
is,
r(Fermi) or L*
Eq. (89) of Sec. 6-2
L/1 (two-group).
Bare Reactor. of Sec. 6-2.
B'
=
Formulas
V«0
-
x'4> =
0
V*
0
Solution of Wave Equations for Critical Reactors +
+
is
+ L»B»)(1 + L/'B») = k
(89) for core and reflector are given in Eqs. (109) to (112) of Sec. 6-2. in all cases, first approximation of the fundamental buckling,
l)/M* L'
7.7
7.71
=
Eq. (82) of Sec. 6-2
+ L/»
Eq.
Solutions of
Table
-k
B'
+ M»B» = k
(1 B* = (4 — where M*
+ L'B*)er'"
Theory
Tito-group
5
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For other moderators: for example,
L,*
metal and
Eqs. (76) and (13) of Sec. 6-2
for flux and critical
dimensions
are
given in
1-36
GENERAL DATA
[Sec.
1
Two-group Fast Flux
*/ _
Z..n + DikB1
*' _
v
_
k
2^
n vf"' V'\ X iissions/(cm,)(sec) 2G/(1
1 1
+ L''Bt
Eqs. (92), (208), and (89) of Sec. 6-2
+ L,*B>)
Leakage formulas are given in Art. 6.6 of Sec. 6-2. 7.72
Reflected Reactors, Two-region,
S
-
*±-
Two-group. Z° '*
tk
Coupling Coefficients
+ D'"B'
Eq. (92) of Sec. 6-2
V^'f
Other coupling coefficients are given in Eqs. (127) to (130) of Sec. 6-2. Solutions. Solutions are given in Sec. 6-2 as follows: Cylinder :
Art. Art. Art. Art. Art.
Radial reflector
7-1 7-2 7-3 7-4 7-5 Art. 7-7
End reflector
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Rectangular parallelepiped reflected on one pair of faces Sphere Bare cylindrical reactor with central region Reflectors in more than one direction: reflector-savings method See also example of complete reactor solution in Art. 1 1 . Solution by Matrix Method (for two or more regions). See Art. Art. 11.7 of Sec. 6-2. 8 See Sec. 7-1, by
CALCULATION
J. M.
8
and example in
RADIATION
OF NUCLEAR
West. Nomenclature
A
Mi
= activity, disintegrations per second. For reactor coolant, A = disintegrations per second per cubic centimeter of coolant = atomic mass of original nuclide, Mj = atomic mass of daughter or product
N
nuclide
= number of atoms of nuclide at time t. For reactor coolant, N = number, at time I, per cm' of coolant. Ni refers to original nuclide, Nt to daughter or product nuclide, No (abbreviation of Ari„) = number of original atoms at time 1 = 0 T = total operating time of reactor, sec I = time, sec. U = time for a single circulation of coolant through a closed reactor circuit, t, - time for a single passage through the reactor core
Q = volume rate of flow of coolant from reactor, cm'/'sec a =
fluid weight of— — ; in reactor core pweight of fluid in the system
„
For
.
,
..
a constant-density
...
„
.
fluid, this is the same
as the volume ratio disintegration constant, sec-1. Xi refers to original nuclide, Xs to daughter or product nuclide = neutron flux, neutrons/(cm,)(sec) a = microscopic absorption cross section, cm!. a\ and aaci are the absorption
8.1 8.11
7-1).
Half-life
Units
TW = (In 2)/X = 0.693/X
X = 0.693/7^4
(see
Art
1.22 of Sec.
SELECTED DATA AND FORMULAS AND GUIDE
Sec. 1-1]
1-37
8.12 Mean lifetime = 1/X, sec. 8.13 1 curie = 3.7 X 1010 disintegrations per second — more precisely, the quan tity of a radioactive material that undergoes this rate of disintegration. 8.2
Burnup, Activation, and Decay
Activation and Decay Formulas. Table 32 summarizes formulas for simple of activation and decay. These and other cases are given in Art. 2 of Sec. 7-1. Cross sections and half-lives are given in Table 1 of Sec. 7-1 and Table 19 of Sec. 2.
8.21 cases
8.22
Activity
of Radioactive Parent
Activity
= /liVoXi disint./sec = /iiVoXi/(3.7 X 1010) curies Activity per gram of parent nuclide initially present = 0.602 X 10"/iXi/A/i disint./sec = 1.63 X 1013/i\i/A/, curies 8.23
Activity of Radioactive Daughter or Product Activity
= /2AToX2 disint./sec = /jJVoX2/(3.7 X 10l°) curies Activity per gram of original nuclide initially present = 0.602 X 10,4/jX2/Afi disint./sec = 1.63 X 10"/2X2/A/l curies
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8.3 See 8.31
Art.
Fission-product
Decay Heat
3 of See. 7-1, also Art. 2.4 of Sec. 11 and Art. 1.7 of Sec. 2.
Way-Wigner Formula
£
Po
= 6.22
X 10-»[r0!
-
(To + O-0-']
= decay heat rate as a fraction of operating heat rate To = time fuel is in reactor, sec I = time after shutdown or removal from reactor, sec Approximately half the heat appears as (S-particle energy and half as 7-ray energy. 8.32 Untermyer-Weills Formula. Table 33 gives the decay heat rate according to the Untermyer-Weills formula (see Art. 3.2 of Sec. 7-3). 8.33 See Art. 2.4 of Sec. 11. Decay Heat of Specific Fission Nuclides.
where
P/Po
8.4
Coolant Activity
8.41 Activation and Activity Data. Table 34 summarizes data for dominant activities of short half-life. For data on other short-half-life nuclides, see Art. 4 of Sec. 7-1. Table 35 gives formulas for calculating coolant activity from the data of Table 34. 8.42 Activity of Coolant. Table 35 summarizes formulas for ATt, the number of activated atoms per cubic centimeter
Activity
per cubic centimeter = A'2X2 disint./sec =» iV2X2/(3.7 X 10lu)
curies
nuclide
by neu
Xi are for the activation
product,
+
containing
+ /.ATo
-
—
yi(.o\
>
HXil)
are not
synonymous.
»i)*<] — "\M
X,)l) «Xi«
» Xi(
and activation
X,([l
Xil(l
absorption
»!**.)
with av meaning
AT. -
(1
exp (-Xi/i)
(I
Xi)(a])
-
(1
formulas
J) exp [-(
X,)l)|
-
X,.)
Xi«
+
Neutron-absorption
(-
exp (-(»,«
{exp (—
-
(exp (-»i«0
-
(I
JVi -
(
exp
+
— texp (— aidtt) exp (— at4*t)]
exp (-Xs<)]
-
(I
/iATo
— (710(a)
exp (-en**)
exp (— ai4>t)
Xj
of stable or long-lived nuclide for Activation time ta followed by additional decay time td
unstable
Product
(
stable
(exp (-Xil)
-
decay or burnup •>/
Product atoms, - Nt/N,
+
Product
Burnup of stable or long-lived tron al>sorption:
[I
exp
-
/i
Original atoms remaining, - Ni/N,
Simplified formula for small (all values of X< nd
/.
Daughter
unstable
fx
— Xi()
/,
exp (-Xif)]
Formulas*
a
Xi Xi -
-
atoms,
Decay
<•
exp (— XiO
or first daughter - Ni/No
Product
and
formula
Activation
General
Simple
<
nuclide:
Original atoms remaining, - Ni/No
32.
Ii
Decay of radioactive Daughter stable
Case
Table
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
0
*
SEC. 1-1]
SELECTED DATA AND FORMULAS AND GUIDE Table 33.
Decay Heat Rate Exposure
Cooling time
1M*
1 min
0. 0193
1 rain
10 min
0.0549 (0.0513)
0. 0132
0 0355
(0 0132)
(0 0334)
0. 0446 (0.0418) 0.0325 (0. 0297)
0. 0050
0 0234
(• 0049)
(0 0214)
0. 00052
0. 00006
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1day
1week
0 00001 (0 00001)
of Fission Products
time
30 days
90 days
1 year
2 years
Infinite
0. 0566
0.0575
0.0582
0.0584
0.0589
(0.0528)
(0.0537)
(0.0544)
(0.0546)
(0.0551)
0.0496 (0. 0459)
0.0505 (0. 0468)
0.0512 (0.0475)
0.0514
(0.0443)
(0.0476)
0.0519 (0.0481)
0.0358 (0.0322)
0.0375 (0.0337)
0.0384 (0. 0346)
(0.0353)
0.0393 (0.0355)
0.0397 (0.0360)
0.0242 (0. 021 1)
0. 0247 (0.0216)
0.0479
0.0390
0.0174
0.0207
0.0224
0.0234
(0.0152)
(0.0177)
(0.0193)
(0.0202)
0. 0240 (0. 0209)
0. 0092 (0.0085)
0.0124 (0.0109)
0.0141 (0.0124)
0.0151 (0.0133)
(0.0140)
0.0159 (0.0142)
0.0164 (0.0147)
0. 0037 0 00041 (0 00040) (0. 0034)
0.0066 (0.0056)
0. 0083 (0.0071)
0.0092 (0.0080)
0.0099 (0. 0087)
0.0101 (0. 0089)
(0.0094)
0.0013 0 00008 (0 00007) (0. 001 1)
0.0035
0. 0050
(0.0026)
(0.0041)
0.0059 (0.0050)
0. 0066 (0.0057)
0.0068 (0.0058)
0.0073 (0.0063)
0.00018 0 00001 (0 00001) (0.00014)
0. 00089 0. 0019 (0. 00074) (0.0017)
0.0027 (0.0025)
0.0033 (0.0032)
0.0035
0.0040
(0.0033)
(0.0038) 0.0023 (0.0023)
0 0089
0 0025
(0 00005) (0 0021) 6hr
1 week
0.0516 (0.0488)
(0 00046) (0 0073) 1 hr
1 day
0 0425 (0 0404)
(0 0192) 10tee
1 hr
*
1-39
0.0157
0.0106
30 day.
0. 00003 (0.00003)
0. 00020 0. 00061 (0. 00020) (0.00061)
0.0011 (0.0011)
0.0016 (0.0016)
0.0018 (0.0018)
90 days
0.00001 (0.00001)
0.00005 (0.00005)
0. 00018 (0.00018)
0.00041 (0.00041)
0. 00076 (0.00076)
0.00090
0.0014
(0.00090)
(0.0014)
0. 00001 (0.00001)
0. 00003 (0.00003)
(0.00007)
1year
0. 00007
0. 00018 0.00026 (0. 00018) (0.00026)
5years 1 1 * The tabulated quantity ia P/P%, the decay heat rate or power aa a fraction according to the Untcrmyer-Weills formula (see Art. 3.2 of Sec. 7-1). The first beat ratio for irradiated natural uranium. The quantities in parentheses are alone, after allowing for heat of decay of U,,t and NpMt; for practical purposes irradiated U*»*,
0. 00003 (0.00003)
0.00067 (0. 00067) 0.00035 (0.00035)
of the operating power, quantities give the total for the fission products this is the heat ratio for
D(n,T)T
0
1 Bi
Air
K 10 10' 10
X X X
1.07 1.33 5.48 Thermal
Thermal
Thermal
Thermal
1.9 0-3.6. 71.51 0-1.2. 7137 0-1.17 a5.30. 7O.8O
I0'« 10-* 10" 10"
1.60 5.80
days days
1.06
109 ruin
5 138.
1.55
12.4 hr
3
'
*
is
is
is
1
IX
vP
H
"
10"P B the calculated
7.6
activity
by 30 per cent.
,
B reactors,
6.7 X 10"), $* - 1.14 X 10'»P. use the same constants but increase
(p
-
9
(N ordinary temperatures In heavy-water moderated
where
t0»»*P Na*a
X
At
3.1
X
■»number of neutrons per fission — power density, watts /cm1 = number of hydrogen atoms per cubic centimeter Xg — scattering cross section of moderator for neutrons above a Mev. For hydrogen.
t
*• -
of coolant; must be adjusted
centimeter number
Bismuth
Air
Potassium
and its
alloys
for
temperature,
the coolant
and its alloys
if
This
per cubic
4.5
2.5
1.39, 4.2 72.755. 1.38. 3.7
10"
1.28 X
and its alloys
Sodium
0-3.8, 4.3, 10.3 76.13, 7.10
water Heavy
Water, water, heavy other coolants contain ing oxygen
0-0.019
0.0936
XX
15.0 hr
see
10"
1.77
12.4 years
in
X
For luiuid coolants, N\o*ct the tabulated quantity multiplied by the number of grams of reference material the density of the coolant in grama per cubio oentimcter. the pure reference material, the multiplier For air (0.94 per cent argon), the tabulated centimeter of air at 0°C and 76 cm Ug. oubic Nivi per quantity with other gases. pressure, and dilution Virgin flux:
19 mb
0. 53 barn
barn
•
100
99.60
A«(n,7)A
.
'
Bi'°»(n,7)Bi»>° — Po"1"
6.91
1.47 X l0-»
Virgint
Thermal
Particle and energy, Mev
Reactor coolants which activity important
X
0
K"(n,7)K"
Na
10"« 10"
10
X
0. 56 barn
1.33 X 1.21
3.4
Disint. const. At, sec-1
Decay of product
Data
Half-life
7.
100
HiO DsO
DiO
Applicable flux
Coolant-activity
4
Na"(n,7)Na"
mb
mb
Factor for determining
X
0.04
0.57
Reference material
Reactor
'
99.76
100
Reaction
Activation cross section ff
34.
X
0"(n/,p)N"
Iso topic abundance, per cent
Table
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is
is
1-41
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
Table 35.
Activity of Reactor Coolants* Activated atoms per cubic centimeter,
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Total number of accumulated undecayed effluent atoms after time T
Activated atoms Ni per cubic centimeter
Open (once- through) Systems:
N\9*ei
General case
Xi +
Very short-lived
activities! (N11,
etc.)
[1
Moderately
activities^!
purities) Cpper
-
exp
- exp
(-(Xi
(-Xtf,)]
+
^[1 Xi
«*)M) '
short-lived activities}
(A«, Na", etc.)
Long-lived
f1
of effluent
limitf
im
Nitr
(-X.D]
- exp
(-XiDl
JV,Q/Xi ATiQ/X,
Nlffatt&r (most
- exp
I
XiQ
[1
N*QT
* Burnup and decay of the initial nuclide are ignored in all cases. Ni and Nt are numbers per cubic centimeter of coolant. Nivi and Xi are derived from Table 34 or sources given in Art. 8.21. t Burnup of activated nuclide during a few half-lives is assumed negligible; i.e., < O.lXi. proach to saturation is assumed, i.e., steady operation for more than five half-lives. Circulation time U of fluid through the system (or passage time U through the reactor for an open system) is assumed to be short compared with the half-life, i.e., U or U < 0.2?^. 1 Burnup and decay of the activated nuclide during a few circulations are assumed negligible, i.e., (Xt + m)te < 0. 1. For open circuit, (Xi + «0)(r < 0. 1. } This upper limit of activation for a finite time is approached if burnup and decay of the activated nuclide are negligible in the time T, i.e., if (Xa +
\iT
1-42
GENERAL DATA
K.
Z. Morgan. 9.1
Units Used in Dosimetry. Art. 1.2 of Sec. 7-2.
9.11
details,
Units
Table 36 describes
units of radiation dose.
For
see
Table 36. Type of radiation
Unit
Units of Radiation Dose Medium to
Basis of definition
which applicable
measured
X-ray T-ray of less than 3 Mev.
Air
Roentgen equivalent physical, rep
Any
Usually soft
Rad
Any
Any
(98 ergs /g based on 34 ev per ion pair) 100 ergs/g
Roentgen equivalent man, rem
Any
Any body tissue (including bone)
(Number of rads) X RBE
Roentgen,
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1
HEALTH PHYSICS
9
See Sec. 7-2, by
[SEC.
r
1 esu/cins of air at 0°C 760 mm Hg ( 1 cma of air 0.001 293 g)
-
tissue
Usually 93 ergs/g
Remarks
Equiva Exposure dose. lent to 83.9 ergs/g air based on 32.5 ev per ionpair, or 87.7 ergs/g based on 34 ev per ion-pair Absorbed dose (obso lescent) dose. Stand Absorbed ard unit for all classes of radiation work Standard unit for biologi cal effects
Dose. Gram-roentgen, gram-rep, and gram-rad are the doses Volume-integrated (in r, rep, and rad, respectively) integrated to give total energy absorption over the entire body (see Art. 1.25 of Sec. 7-2). 9.12 Relative Biological Effectiveness, RBE. See Art. 1.4 of Sec. 7-2.
j^gg
_
Co607 dose in rads to produce a biological change
actual dose in rads to produce the same change
For RBE of heavy ionizing particles, see Table Table 2 of Sec. 7-2 (see also Table 37 of Sec. 1-1). 9.2
Art.
1
of Sec. 7-2; for other particles,
Radiation Dose from External Sources
1.6 of Sec. 7-2. Factors Affecting Maximum Permissible Dose. Figure 1 of Sec. 7-2 shows linear and threshold radiation-damage rates. Figures 2 and 3 show maximum per missible dose at various parts of the body. 9.22 Maximum Permissible Dose Rate. Sec Art. 1.6 of Sec. 7-2. Basic rate If averaged over several years, 0.1 rem/week. for adults 0.3 rem/week. For minors under 18 and others living in the neighborhood of the controlled area, one-tenth of the above rates. These dose rates may be increased considerably as prescribed by Figs. 2 and 3 of Sec. 7-2. 9.23 Planned emergency dose for adult male (or woman over 45), 6.25 rem. This dose may be increased considerably as prescribed by Fig. 3 of Sec. 7-2. 9.24 Calculation of Dose Rate. Table 37 of this section, based principally on Table 2 of Sec. 7-2, summarizes the particle fluxes corresponding to maximum per missible dose rate. Footnotes indicate other sources of data. See 9.21
1-43
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1] Table 37.
Flux for 7.6 mrem/hr at Surface of Body (0.3 rem per 40-hr Week) Approximate flux, parti cles/(cmJ) (sec)
RBE
Type of radiation
1 (2.5) Fist neutrons*
(10) 1 10 10 20
Heavy ions
4.200/E (Mev)
1.930 (2,000*) >3 3
Mev
2
1
0.5
0.1
0.01
Flux 30 30 40 60 80 200 1.000 4,340/S., S- from Table 3 of Sec. 7-2 400/S., S« from Table 3 of See. 7-2 1.3 X I0'/(stopping power from Fig. 4 of Sec. 7-2) Oxygen ion: 6.5 X 10'/(atopping power from Fig. 4 of Sec. 7-2)
* International values Actual biological dose and energy deposition in (see Table 4 of Sec. 7-2). d»ue as a function of depth are given by Snyder, Figs. 5 to 13 of Sec. 7-2. Table 4 of Sec. 7-2 gives maximum permissible neutron flux based on these curves. t Flux is also given for electrons by 1.3 X I0*/(stopping power) and for a particles by 1.3 X 10V stopping power). Obtain stopping power from Fig. 4 of Sec. 7-2. The results are only approximately equal. Equations (12) to (19) with Table 3 permit calculation of dose in soft tissue or bone at any depth, or averaged over the range of a particle of given initial energy. 9.26
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of Sec.
Natural Background
and
Common X-ray Exposures.
See Tables 5 and 6
7-2. 9.3
Maximum Permissible Internal Dose
The maximum permissible concentration in air or water is determined by the maximum permissible body burden for the particular nuclide to produce 0.3 rem /week st the critical organ. Article 1.7 of Sec. 7-2 describes methods of calculation for For periods not exceeding specific nuclides, for both continuous and single exposures. a few months, it is usually safe to use the following "general maximum permissible concentrations" (from Table 7 of Sec. 7-2). /J or 7 emitters or Dose
emitters
5
X
10-9 f
jic/ml air
from Internally Absorbed Discrete Particles. 10
See Sec. 7-3,
NUCLEAR RADIATION
10-7 /ic/ml water 10~7
^c/ml water
See Eqs. (33) to (36) of Sec. 7-2.
SHIELDING
by E. P. Blizard. Nomenclature
S.
absorption build-up factor, a function of geometry, material, energy, and number of relaxation lengths (Table 7 of Sec. 7-3) Br = dose build-up factor, a function of geometry, material, energy, and number of relaxation lengths (Tables 4 and 5 of Sec. 7-3) D = dose rate (including build-up), rad/hr £<>= photon energy of source, Mev. B = rate of heat deposition, ergs/(sec)(g) H' = rate of heat deposition, watts/g R = distance from point source, cm S = source strength for point source, photons/sec t = thickness of attenuating material for point source, cm = thickness of attenuating material for collimatcd plane source, cm m = linear attenuation coefficient of uncollided flux, cm"1 =■energy
j
p =
density of material, g/cm'
1-44
GENERAL DATA
[Sec.
1
ti/p = total mass attenuation coefficient, a function of material and energy (Table 1 of Sec. 7-3), cm'/g a function of material and ita/p = energy-absorption mass attenuation coefficient, energy (Table 2 of Sec. 7-3), cm'/g r =■uncollided gamma flux at penetration t or x, photons/(cms)(sec) To = incident gamma flux for plane source, photons/(cm,)(sec) Relaxation Length, Half-thickness,
10.1
and Tenth-thickness
The thickness of material to attenuate a y dose rate by a factor of 2, e, or 10 is The thicknesses are called convenient for rule-of-thumb estimate of attenuation. the relaxation length, half-thickness, and tenth-thickness, respectively, and are interconvertible in accordance with Table 38. These characteristic thicknesses are a function of y energy and also vary with actual thickness because of the build-up factor. Relaxation Length, Half-thickness,
Table 38.
Relaxation lengths
Half-thicknesses
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1 0.6931 2.303
1.
Tenth-thicknesses
0.4343 0.3010 1
1.443 1 3.322
-y-ray Attenuation from Point and Plane Sources
10.2
Step
and Tenth-thickness
Calculate uncollided flux
Point source:
r
=
-4-
4irR3
r
X e-f
Eq.
(2) of Sec. 7-3
Plane source:
r
= Toe-"*
Eq.
(2a) of Sec. 7-3
Determination of p.. Table 1 of Sec. 7-3 gives (m/p). m = (p/p)pTable 21 of Sec. 7-3 gives both (jjl/p) and p. for selected heavy elements in a more limited range than Table 1. Number of relaxation lengths* = pi or px. Calculate •y-radiation dose rate D or rate of heat deposition H at penetra Step 2. tion t for a point source
D
- 5.767
X
10-'(p.a/p)E<,rBr
rad/hr
Eqs. (3) and (4) of Sec. 7-3
Simplified solution for tissue:
d
E0VBr (Table 3, column 3) H = 1.602 X l0-*(pJp)E„rBa ergs/(sec)(g) H' 1.602 X 10-ls(M„/p)tfcirB„ watts/g
=
(Table 3, column 2)
-
Determination of E0. * Relaxation length
rad /hr Eq. (5) of Sec. 7-3
See Art. 2 of Sec. 7-3, also Tables 1 and 2 of Sec. 7-1.
(thickness
to produce attenuation
by factor «)
*
Sec. 1-1]
SELECTED DATA AND FORMULAS AND GUIDE
1-45
(mo/p) from Table 2 of Sec. 7-3; B, from Dttermination of (na/p), BT, and Ba. of Sec. 7-3 (for point source) and Table 5 (for plane source); B„ from Table 7 [for point source).
Table 4
7-Ray Attenuation, Special Cases
10.3
Lead Shield for Co60 and Cs137 Sources. Thickness for 7.5 mrem/hr at surface (see Table 6 of Sec. 7-3). 10.32 Approximate Unshielded y Dose from a Point Source. See Art. 9.2 of
10.31 outer
Sec. 11.
D
« 7CJW(ff')s
D = dose rate, r/hr ~ rad/hr C = activity of point source, curies JJo = photon energy, Mev R' = distance from source, ft 10.33 Shields containing a homogeneous Composite Shields. and laminated shields (see Art. 1.4 of Sec. 7-3).
where
mixture of elements
Sources of y and X Rays
10.4
spectrum of prompt y rays from fission of U*" is given in Table 8 of decay energy of fission products as a function of time and energy groups of Sec. 7-3; and y energy from neutron capture in Table 9 of Sec. 7-3.
The energy Sec. 7-3; the
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in Fig. 4
10.5
Dose from Point Source of Fission Neutrons. Hydrogenous (13) and (14) in Art. 3.4 of Sec. 7-3 give solutions in terms of thickness, hydrogen density and thickness (Fig. 5), and removal cross sections 12 or Fig. 6). Separate solutions are given for nonaqueous and aqueous Biological
10.61 Skidds. shield iTable
Neutron Attenuation Principles
Equations
shields.
shields (less than 50 atomic per cent hydrogen). The dose is by Eq. (15) or (16) as a function of biological effect of neutrons (Table 13), distance from source, shield thickness, and total removal cross section. Smhydrogenous
calculated
Sources of Neutrons
10.6 The delayed neutron
U*" fission spectrum of prompt neutrons
is given in Table 15 of Sec. 7-3, neutron data in Table 16 (see also Table 39 of Sec. 1-1), and a- and photosources in Tables 17 and 18. 10.7
Geometry
y and neutron attenuation for with curves and tables of pertinent functions.
Article 5 of Sec. 7-3 gives methods of calculating various geometries,
10.8
Shield Materials
Article 6 of Sec. 7-3 contains nuclear and engineering data of common shielding For list of tables, see Table 9 of Sec. 1-1.
materials.
11 See Sec. 8-1, by » bare reactor.*
PHYSICS OF REACTOR CONTROL
S. Krasik.
The section is based on one-group diffusion theory for
* Two-group theory for a bare reactor and the effect of a reflector ">Arte. 13 »nd H of Sec. 6-2.
on neutron
lifetime
are discusnod
1-46
GENERAL DATA
[Sec.
1
Nomenclature
B2 = buckling (geometric), cm"1 k = multiplication constant in infinite medium, dimensionless; k,n is "k effective"; k,x is "excess k" L = diffusion length, cm T = solutions of the reactor kinetics equation, sec; T, is the stable period (e-folding
time) after transients have disappeared = multiplication «S = source strength, neutrons /sec V = volume of reactor core, cm1
M
v — 18 =
A = X = p = Z„ = t = 0 =
neutron velocity, cm/sec fraction of delayed neutrons per neutron emitted in fission; 0, refers to ith group effective neutron lifetime, sec. /* is frequently used for A decay constant of delayed neutrons, sec1; X, refers to t'th group, reactivity, dimensionless macroscopic absorption coefficient, cm"1 mean life of delayed neutrons, sec; n refers to ith group; f is average mean life neutron flux, neutrons/(cm2)(sec);
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Group
55.72 22.72 6. 22 2.30 0. 610 0. 230
lOOpVp* percentage of delayed neutrons
ri
X.
80. 39 32 78 8. 97 3.32
0.0124 0.0305 0. 111 0. 301 1. 14 3.01
half-life, sec
1 2 3 4 5 6
Data for U"s*
Delayed-neutron
0.88 0.33
3. 3 21.9 19. 6 39. 5 11.5 4. 2
Totals
100 0
* Data of Keepin,
0ITI
0.00021 0 00140 0.00125 0.00253 0.00074 0.00027
0.0170 0.0459 0.0113 0.0084 0.00065 0. 000089
0.0064
0.0833
Wimett, and Zeigler, Tables 2 to 4 of Sec. 8-1. 11.1
Delayed-neutron
Data
Table 1 of Sec. 8-1 gives the data of Hughes et al. for thermal fission of U236 and Tables 2 to 4 give later data by Keepin, Wimett, and Zeigler for thermal and fast fission of Th232, U233, U23S, U2™, Pu230, and Pu2<0. Table 39 of this article summarizes data for U236 from Tables 2 to 4 of Sec. 8-1; and numerical values in this article are based on these data. Table 40.
Reactivity Conversion Factors for
Data of Hughes, Dobbs, Cahn, and Hall
Data of Keepin and Wimett
Reactivity, p
Inhoura
Dollars
Cents
1 ~2.3 X I0 » 0.0064 6 4X 10 >
~4.35X 10<
156 ~3.6 X IO-» 1 0.01
I.56X 10'
1
-280 ~2.8
U23S*
~0 36 100
Reactivity, p
1
~2.6X 10* 0.00755 7 55 X 10-*
Inhours
Dollars
~3 .84 X 10' 132 1 ~3 45 X 10 ' 290 1 0.01 2.9
Cents
1.32 X 10' ~0.345 100 1
• One dollar of reactivity correspondsto prompt critical, i.e., p equal to 0. Reactivity in inhours = p/(p for stable period of I hr) In both casesp may be calculatedby the inhour equation (Art. 11.41below), but the table is basedon the approximation that p for a stable period of I hr is equal to 0f/3,6OO. For long periods, reactivity in inhours is approximately 3.600/ 7Y
SELECTED DATA AND FORMULAS AND GUIDE
Sec. 1-1]
11.2 ,
t./f
=
neutrons
Reactivity
generation born in (n + l)th 2 k ■ = -— , : ; T._. born in nth generation 1 + L'B1
neutrons
= 1
-
+ k„
- -—
11.3
Effective Neutron Lifetime* A
1 — p
=
-
klx
.
.
Art.
. „ , _ 1.2 of Sec. 8-1
"
~ ^ —
—
k.u
1-47
k.si
1 =
p 1 — p
1/[»2.(1 + L'B1)] sec
where » = neutron velocity, cm /sec See Art. 1.2 of Sec. 8-1, also Eq. (245) of Sec. 6-2. 11.4
It
is assumed that there is no loss of delayed neutrons.
Inhour Equation
11.41
-
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Reactor Kinetics Equation
k.,, k,/f
—
1
A
Tk,,// =
+
) V t
,
1
?\
Eq. (4) of Sec. 8-1; also Eq. (241) of Sec. 6-2
m + A,/
Eq. (5) of Sec. 8-1
!+7^+?rfc]
For UMS, the data of Keepin and Wimett give:
J
A
T
[A
IT
0.00021
, 1
+ 0.01247'
_
0.00140 1
0.00125
0.005 100253
f + O.llir
+ 0.03057'
+
1
4-0.301 T 0.00027
0.00074 1
+ 1.14T
1
+
1
3.0irJ
11.42 Guide to Solution of the Inhour Equation. See Art 1.2 of See. 8-2. The Stable Iteaclor Period is the e-folding time after transients have disappeared. For positive reactivity, T, can have any positive value. For negative reactivity, T, can have any negative value numerically greater than r, (80.39 sec for U"«). The inhour equation is solved by trial, making use of simplified approximate
formulas (below) where applicable. The Six Transient Hoots. These are all real solved by trial, and are located by the sequence
-80.39
< T7, <
-32.78
< T2 <
-8.97
<
T,
<
and negative.
-3.32
<
T,
< <
They
-0.88 -0.33
are
usually
< T, < 7', <
-A
See 11.43 Approximate Formulas for Stable Period with Positive Reactivity. Art. 1.3 of Sec. 8-1. Very hug periods (small reactivity): p < 0.0005, T, > 200 sec (useful also as first approximation for shorter periods — the approximate value of T, is too large). • The following is for hare-reactor one-group theory. The contribution of slowing down to neutron lifetime (two-group theory) is diacus»ed by Dietrich in Arts. 13.3 and 14.2 of Sec. r>.2.
1-48
GENERAL DATA
For UJ",
T.
=
T.
=
-
A
=
k./f(p
(see
P
Art.
1
1.32 of Sec. 8-1)
=
(A + 0.0833)
P
Very short periods (reactivity exceeding equal to at least several times A).
T'
«
(A + jSf)
p
[Sec.
p
prompt critical by an amount numerically
-
_ A(l (p
0)
See Art. 1.33 of Sec. 8-1; also Eq. (242) of Art. 6-2. 11.44 Approximate Formulas for Stable Period Art. 1.5 of Sec. 8-2.
-
p)
- 0)
with Negative Reactivity.
See
Very long periods (small negative reactivity), T. negative but numerically greater than 200 sec. Same as for positive reactivity. Shorter Periods. The period is always numerically larger than the mean life of the longest-lived delayed neutrons. For U"> t his is 80.39 sec. The limit T, = — 80.39 sec is approached for very large negative reactivity. 11.45 Rough Approximation of Time Behavior for Step Change of Reactivity 1. Prompt jump (or drop)
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± «
o
M
~
"> 0 — p
occurring in a small fraction of a second.
See Art.
1.6 of Sec. 8-2 and Eq. (244) of
Sec. 6-2.
2. The flux increases from the level of the prompt jump, with a stable period T, calculated from Eq. (4) of Sec. 8-1 or from approximations.
11.5
Steady-state Subcritical Reactor (fc«// <
See Art. 1.2 1.2 of Sec. 8-2, Art.
1
M
Total neutron production: Total neutron population:
MS
, Neutron a flux in core: xt
MSAv — I
12
= 1
1 —
k,/t
n/sec
-—— *.//
-
neutrons
SAv
=
with Source
g of Sec. 8-3, and Art. 13.1 of Sec. 6-2
1.1
Source multiplication:
MSA
1)
I'd
- k,/f)
..
...
n/(cm,)(sec)
.
FLUID PROPERTIES
See Sec. 9-1, by Wayne H. Jens. 12.1
Units
Nonsystemntic units (see Art. 1.15 of Sec. 1-3) are used in fluid-flow and heattransfer calculations. 12.11 Fluid Flow. The units are foot, second, pound-mass, and pound-force. 12.12 Heat Flow. The units arc foot, hour, pound-mass, Btu, and degree Fahrenheit.
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1] 12.13 as used
1-49
Fluid Properties. Properties are expressed in Sec. 9-1 in the same units for heat flow, i.e., foot, hour, pound-mass, Btu, and degree Fahrenheit. Dimensionless
12.2
Numbers or Moduli
Dimensionless numbers must be calculated from properties given in consistent units. Thus in fluid-flow problems velocity, which is expressed in feet per second for all other calculations, must be expressed in feet per hour in calculating dimensionless numbers such as Reynolds number from data of Sec. 9-1. Viscosity data from other sources are often expressed in other units. If it is con venient to express the other quantities in consistent units (as in the metric system), the data can be used directly; otherwise it is suggested that Table 17 of Sec. 1-2 be used to effect conversion. The most frequently used dimensionless numbers are: Reynolds number, Re
_ DVP A"
Nusselt number, Nu =
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Prandtl number, I'r =
ftP k k
For meaning of symbols, see nomenclature tables in Arts. gives a list of dimensionless numbers.
13
and
14.
Table 3 of
Sec. 9-2
Density of Water Table 41 gives the density of water in grams per cubic centimeter at atmospheric from 0 to IOO°C. The density maximum of 0.99997 g/cm* at approximately 4*C corresponds to 1 g/ml exactly (see definition of milliliter in Table 6 of Sec. 1-3). For temperatures above 100°C, Table 19 of Sec. 9-1 gives the specific volume v in cubic feet per pound over a range of temperature (°F) and pressure (psi). The density is given by: pressure
1
0.01602
62.428i>
v
s
.
,
The density of heavy water is given in Table 27 of Sec. 9-1. Table 41. °c
0
2
Density of Water, g/cm' 3
4
5
6
J_ _'_
9
0 10 20 }0 40
0.99
984 970 821 565 222
990 961 799 534 183
994 950 777 503 144
996 938 754 471 104
997 925 730 438 063
996 910 705 404 021
994 895 679 369 »979
990 878 652 333 •937
985 860 624 297 •893
978 841 595 260 *849
50 60 70 80 90
0. 98
0.96
804 321 778 180 531
759 269 720 118 464
712 217 662 055 396
666 164 604 •991 327
618 110 545 •927 258
570 056 486 •862 189
522 002 426 •797 119
472 •947 365 •731 049
422 •891 304 •665 •978
372 •835 242 •598 *907
100
0.95
S35
0.97
GENERAL DATA
1-50
[Sec.
1
FLUID FLOW
13
See Sec. 9-2, by Charles F. Bonilla.
Nomenclature cp = specific
D
= D. = e = fr = G = gc =
V v to
0
K L
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AP Q
S
ft p
heat at constant pressure, Btu/(lb.
in heat flow, units are
lb.„/(ft!)(hr)
constant numerically equal to gravitational acceleration, 32.17 ft /sec*. Usu Sometimes ally regarded as a dimensional constant (ft)(lb.v)/(secJ)(lbf). regarded as dimensionless = average velocity, ft/sec = specific volume, ft'/lb = rate of mass flow, lb/sec — volumetric coefficient of thermal expansion, (°F)_1 = number of velocity heads lost, dimensionless =• length, ft = pressure drop, Ibf/ft* — volume rate of fluid flow, ft'/scc = cross-sectional area of fluid stream, ft' = viscosity = absolute is viscosity, viscosity = dynamic lbv/(hr)(ft). viscosity of fluid at wall temperature, in is viscosity at bulk temperature = density, lbw/ft' 13.1 General Equations
13.11
Continuity Equation G = Vp
13.12
w
-
Eq. (44) of Sec. 9-2
Velocity Pressure Velocity pressure
13.2 13.21
Qp = VpS = GS
=
— 2gc
=
—
2pgc
2gc
Friction in a Straight Pipe
Pressure Drop by Friction
A/'
fr
=
4/F
•
A
•
p~
=
4/K
■~ •
^-
[See Eq. (28) of Sec. 9-2]
is the Fanning factor, given in Fig. 2 of Sec. 9-2. Many authors eliminate the 4 by using & friction factor equal to 4fr. 13.22 Streamline Flow, Re < 2,100. See Art. 3 of See. 9-2. For isothermal flow in long channels,
f
fr For
=
Hi/Re
AP
= 4/K ■— • — - = -
Dr
2f/c
—
D,'gc
short channels, sec Table 2 of Sec. 9-2. D, for streamline flow is given in Table 42 below (see Table 1 and Art. 3.12 of Sec. 9-2, in which other cross sections are also discussed). For nonisothermal flow (fluid and walls at different temperatures), calculate AP (or fr) as above, and multiply by (ji»//i*)0M if the fluid is being cooled, and biv/iu)0** if the fluid is being heated. (See Art. 3.2 of Sec. 9-2 which also gives alternate treatments.)
SEC. 1-1]
SELECTED DATA AND FORMULAS AND GUIDE Table 42.
Shape
Streamline Flow Parallel slot
Square
Circular
e
♦ a
»a-»
1-51 Narrow annulus
Annulus
T
f
b
—02-
W
I.12az
V*tf-ttk ****
Turbulent Flow, Re
> 3,500. See Art. 4.2 of Sec. 9-2. Factor /f. Calculate Re, estimate e/D from Art. 4.2 of Sec. 9-2, read Fig. 2 of Sec. 9-2.
13.23
Fanning from
/*
Examples:
drawn tubing, 0.000,005 ft; for commercial steel pipe, 0.00015 ft. /* i» reactor applications is typically 0.006, but may range from 0.015 to 0.003 or less. Isothermal Flow. Apply the equation of Art. 13.21. If fluid and wall are at different temperatures, calculate/],- as Xonisolhermal Flow. t for
but
above,
use m and p at the average of bulk gas temperature and wall tempera alternate method see Art. 4.21 of Sec. 9-2). liquids, use bulk liquid temperature and multiply fr by 0.98 0„/w)0,1J. The bulk density is used in calculating pV*/2gr. See Art. 4.2 of Sec. 9-2. For a general approximation, D.for Turbulent Flow.
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1. for gases,
ture (for 2. for
D.
4
X
area of cross section
wetted perimeter
(from Art. 4.2 of Sec. 9-2) gives Dt for special cases; the formulas conform the above formula in all cases except for the annulus. If the pressure drop is small compared with the total pressure, Compressible Fluids. use average properties; otherwise see Art. 4.22 of Sec. 9-2. Table
43
exactly to
Circular
Rectangular
Table 43.
Special Cases
Square
Parallel slot
Annulus
Shop* ♦
*-a—
h-Di-H
— D2— 2ob a+b
13.3
2b
Friction by Change of Direction or Pipe Cross Section in Turbulent
2f7e 13.31
2D2tnD2/D|
Pipe Fittings and Bends.
See Table 4 of Sec. 9-2.
Narrow annulus
Mi
— Dz-H D2-0,
Flow
GENERAL DATA
1-52 K
Table 44.
s./s,
[SfiC.
1
for Sudden Change of Cross Section
0
0. 1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
0.81
0.64 0.34
0.49 0.31
0.2S 0.22
0. 16
0.09 0. II
0.04 0.03
0.01
0.36
0.36
(0.4)
0.02
0 0
Enlargement
0.27
0.16
* K for contraction varies appreciably with conditions. The tabulated values are the lowest reported contraction — to be conservative 0. 1 should be added throughout. For ( Weisbach) for a sharp-cornered rounded edges the values are much lower.
Sudden Change of Cross Section. 13.32 and sudden contraction of a pipe.
K is to be used with the higher velocity, i.e., the velocity in the smaller of the two cross sections. For more accurate treatment, see Art. 4.3 of Sec. 9-2. For a well-rounded entrance to a contraction, K = 0.05. 13.33 Orifices and Nozzles in Pipes. The over-all pressure-loss factor, based on the velocity at the orifice or nozzle, is given in Table 45. K
Table 46. Orifice
or nozzle diam.
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Pipe inside diameter
K
for sharp-edged
K
for nozzle
orifice
for Orifices and Nozzles in Pipes
0. 1
0.2
0. 3
0. 4
0.5
n u . t. 0
It / U. 7
0.8
0.9
2.68
2.62
2.38
2. 16
1.87
1.50
1. 10
0.66
0.40
0.98
0.92
0.83
0.70
0.56
0.41
0.26
0.13
0.04
of the orifice system, general, K = I/Cd1, where Co is the discharge coefficient including a sufficient length of pipe to permit contraction and subsequent expansion of the stream.
In
External Flow
13.4
For more than five rows of tubes, K per row Flow across Tube Banks. on maximum velocity): 0.72 for triangular pitch, 0.32 for rectangular pitch. Article 8.2 of Sec. 9-2 gives a more accurate treatment. See Art. 8.3 of Sec. 9-2. Flow through Beds of Particles. 13.42 13.41
(based
13.5
Pressure Changes Other Than Friction Losses
The subscripts 1 and 2 refer to the upstream and down Acceleration. 13.61 means a pressure drop in the A positive value of stream side, respectively. direction of flow, a negative value means a pressure gain. Acceleration causes a loss (AP positive), deceleration causes a gain (AP negative).
Since this drop for a closed system usually does not exceed one high-velocity it is usually ignored in rough calculations.
head,
of Density in a Channel of Constant
Cross
Acceleration Section
Pressure Drop Due
AP
=
to Change
P2IV
—
---
P1V1
O
For a more exact formula see Sec. 9-2, Eq. (30). disregarded except for a boiling liquid.
(Vt
-
Vt)
This drop can
also generally
be
SELECTED DATA AND FORMULAS AND GUIDE
Sec. 1-1] Change
1-53
In rough calculations, it is usual to ignore the of Velocity Distribution. in pressure that accompany velocity redistribution across a channel. Difference of Elevation. See Eqs. (15) and (16) of Sec. 9-2.
changes
small
13.62
13.6
Total Pressure Drop
The total pressure drop between two points is the algebraic sum of losses by friction, If parameters vary, drop by acceleration and difference of elevation. sections are subdivided and formulas are evaluated over the subdivisions, using In some cases analytic solutions are available average values for the parameters. for cases of varying parameters (see Art. 4 of Sec. 9-2). and pressure
14 See Sec.
HEAT TRANSFER
9-3, by Charles F. Bonilla. Nomenclature
A = area normal to heat flow in slab geometry, ft1
width, ft
a =
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It, is assumed that heat flow is normal total heat flow per unit time, Btu/hr. to the surface in slab geometry and radial in cylindrical and spherical geometries radius, ft absolute temperature, °K I temperature, °F distance from left face of a slab or plate, ft
1, 2, 3, — Subscripts: constant for a layer (a, H, which vary across a layer values at the left side of a layer (Tables 46 to 49). Surface film coefficients adjacent wall temperature,
temperature. Variables (x, r, and
= first, second, third, — layer. For quantities which are For quantities k) the subscript refers to the entire layer. (q/A, q/2-rL, /4ir, r, and t) the subscript refers to the slab layer or the inner radius of a cylindrical or spherical
and fluid temperatures take the same subscript as the the fluid temperature being primed to distinguish it from
the wall
<) are
indicated by absence of a subscript.
14.1
Steady-state Conduction
Conduction formulas for important simple cases are collected and tabulated in article. For other formulas and for unsteady-state conduction, see Arts. 2 and 7
this
of Sec. 9-3.
Algebraic Signs. In all tables in this section, the positive direction of distance and flow is to the right in slab geometry, and radially outward in cylindrical and spherical geometries. If heat flow is in the negative direction, algebraic formulas remain unchanged, but when numerical values are substituted, the negative direction is recognized by change of sign. Negative values arising in the course of computation heat
retained. Conduction in Homogeneous Solids with Internal Heat Generation. or Plate. Table 46 gives formulas for heat flow normal to the surface. must
be
14.11
Slab
1-54
GENERAL DATA Table 46.
[Sec.
1
Conduction in Homogeneous Slabs or Plates Nomenclature and General Procedure* Calculate qi/A if not already known: (a) If q* is known, q\/A = qt/A — H\a\ (6) If l\ — fa is known, qx/A is given in each particular case by the first equation for that case. hi «■thermal conductivity H\ ■=> heat generation per unit time per unit volume For sign conventions see text.
q/A-
General Solutiont Sen above figure. Criterion for an internal temperature maximum: cooling from both sides, or ai//i > (-qi/A) > 0
Heat Through-flow with No Internal Heat Generation
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See Eq. (8) of Sec. 9-3. Hi = 0
q/A
-
- -
(ii
- (i)*i/ai
fi tt = {qi/A)aifk\ (qi/A)x/ki t ti Highest temperature: fi or
fiat
a:
Oor
r
= ft], respectively.
Internal Heat Generation with No External Heat Input Case t.
Heat remolded at right-hand
See Eq. (9) of Sec. 9-3.
Case 2.
of Case
Case 3.
»(
* Solutions
I.
- -
surface
0
ri ti = //iuiV2Jfci t ti Ifix*/2ki J*max ™ 0 'max =
- -
-
Heat removed at both surfaces, surface temperatures equal Q\/A ■* — Hiat/2 ,. t ti = //i(a. x)x/2ki r
-
^\
in this table are for uniform
H the general equation
-
Heat removed at left-hand surface Qi/A — — H\ai t, (i tfioi'/2*i ( ti = Hi(oi x/l)x/ki XmKx — di tuutx = fi
This case becomes redundant if it is regarded as a mirror reflection
qi/A
-
heat generation.
-
- -
For exponential
heat generation
of the form
a exp ( — paj) + 0 exp ( — ftgx)
is
To obtain ti — tt write ai for x. t To take into account unequal surface cooling or heating conditions of a single-layer slab, use Table 49, but reject all terms applying to second and third layers.
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
1-55
Hollow Cylinder. Hollow-cylinder formulas contain terms of the type In r2/ri. When Tz/ti is not large, it is convenient to write i / In T\fT\
™
p..
r
x
radial thickness of tube ■ —■ wall — . average radius of tube
r2/n
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F
r2 —
« t„
(r2
+
n
n)/2
1
1.5
2
3
4
1
1.01
1.04
1.10
1.15
„ 2(r»/n
t
=■
—
r2/ri +
—1)■ 1
Table 47 gives formulas for radial heat flow. When r2/n < 2, it is also satis factory to use slab formulas, with oi equal to the wall thickness of the tube and the flow area equal to the cylindrical surface at average radius, i.e., x(ri + r2)L. Table 48 gives formulas for radial heat flow in spheres. Sphere. 14.12 Conduction in Multilayer Solids with Internal Heat Generation and Con vection Cooling. Table 49 gives solutions for the temperature differences across layers for multilayer slabs, cylinders, and spheres, with heat generation uniform in each layer and with convection cooling on both sides of the assembly. Solutions are given for three-region solids, but they can be extended to any number of regions by including terms for additional regions. Procedure. The specified parameters are evaluated in sequence for the geometry in question. Usually the temperature difference Att* between the coolant streams is known* and in this case q\ is determined from the second of the two formulas for g'i. If the heat flow (at either surface) is known instead of the temperature difference, g'i is determined from the first of the two formulas.! If the left-hand or inner surface is cooled, the numerical value of q\ is negative. Cylindrical or Spherical Assembly with Solid Central Region. For a solid central region the solution is modified as follows: 1. Continue to designate the solid inner core as region 1, with radius r2. 2. For a cylinder /i = H,n*/2 and mt = Hirt'/4ki. For a sphere fi = Htri'/3 %nd mi = Hir^l&ki. The parameters Q\, l/o, h, and q\ have no meaning. 3. Calculate /, g, I, and m for the surrounding hollow regions as usual. 4. For both cylinder and sphere Ati = mi, A<2 = m2, At3 = ms, At/, — m/,. Heal Transfer across a Fluid-filled Gap. A gap can be treated as an additional layer, say the ith layer. Usually there is no heat generation in the layer and fi, gi, and m.i are all zero. The value of U is as follows:
Convection
Conduction
Slab
Cylinder
!/«' + \/h"
l/(r,*') + l/(n+,A")
Oi/*
(In
ruifn)/ki
Sphere
l/O-i'V)
O/n
+ l/(ri+,«»")
-
l/n+i)/fa
where h' and h" are the convection coefficients on the two sides of the gap. Distribution within a Region. The temperature distribution within Temperature the first layer is given by the general case in Tables 46 to 48. With proper change of subscripts the same formulas, including the criterion for a temperature maximum, apply to any layer. The parameter Meaning of Parameters. represents! the total heat generation within a layer, / represents the temperature difference across a layer caused by unit rate of constant heat through-flow, gl is the temperature difference across a layer caused by the internal heat generation within the layer, and m is the temperature difference caused by heat generation within the layer and all interior layers. Table 50 gives formulas for simple cases, Simplified Formulas for Fuel Elements. ignoring heat generation in the clad. For less simple cases, use the general multi
/
layer solution. • Aft* may be positive, zero, or negative. It is positive if the temperature at the left-hand side of a ?Ub is higher than that at the right-hand side, or if the temperature inside a cylinder or sphere is higher than the temperature outside. t See second footnote in Table 49. X The characteristic geometric divusorto A, 2wL. and 4jr have been applied to simplify the arithmetic.
GENERAL DATA
1-56 Table 47.
[SEC.
Conduction in Homogeneous
1
Cylinders
Nomenclature and General Procedure* Calculate gi/2xL if not already known: (a) If f/j is known q\/2vL = qt/lirL — Hi(ti* — n!)/2 (6) If t\ — tt is known, qi/2rL is given in each particular < by the first equation for that case, fci = thermal conductivity = heat generation per unit time per unit volume Hi For sign conventions, see text. General Solution for Hollow Cylinder! figure.
See above
Criterion for internal temperature maximum: cooling from both Hides or > 0 n> > -(q,/2rL)(2/Hi) ri"
-
?./2t£
- li
-
-
(«■
<»)*i
- HiHn' - r,') -
In ri/ri In ri/ri + tfi(r.»
2/-11In
ri/n]/4
- - -
2, ,' In ri/n)/4]/Jti = (W./2.-Z,) ri> (((7i/2xf,) In r/ri + Hi(r' ri» iVi" In r/n )/4]/fci n« (oi/2rL)(2/ffi) fl — (mav • /iiria(a — 1 — a In a) /4ki where a ** (rmax/n)1
li
- -
tl I rmw'
-
-
Hollow Cylinder with Heat Through-flow and No Internal Heat Generation
qi/2rL
= (li —
-
- -
ti)k\/\ll rj/n
[(7,/2»L) In r,/r,]/*, K«,/2tL) In r/nj/ti d I Highest temperature: d or tt at ri or rj, respectively. (1
t; r2
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H,= 0
Hollow Cylinder with Internal Heat Generation and No External Heat Input Caeel. Orttward heat flow 0 9I/2W, 2/-,' In n/ri]/4*i d (i = ffi|(ri' ri») (i — * — ffil(r» 2n« In r/n]/4Jbi ri») Maximum temperature: li at ri
-
-
Cage
f.
-
-
-
-
Inward heat floic = n»)/2 = tf i|2vi« In r-i/ri Maximum temperature: (i at rj
-//,(ri'
q,/2*L ll tl
-
-
Com 3.
Outward
-
-
n')]/4*i
and inward heat flow, surface temperature* ?i/2xL = -/Y.(r,„a*> n«)/2
-
-
-
-
equal
rro.x' (r.« n")/(21n r./n) a + a In a)/4Ar, li (max ffiri«(l (rm„/r,)' = |(r,/n)' where a l]/(2 In — For ti t use the general formula.
-
fl
'
-
i
-
rj/ri)
* Solid Cylinder with Internal Heat Generation tl (l
- II - -
* Solutions are for uniform heat generation.
// fi - t
J
= (a/r) exp
(qt/2wL) In r/r, + — (exp
//ir2V4*l
« Hir'/Aki 'mux = 'l
For exponential heat generation
(-nar)
(-^n)
In
+
r/n
(£/')
exp
+ ffi(Ma')
4- — [exp
of the form
(-^r)
-
Ei(narx)}
(-ppn)
In
r/n
+ Bitjipr)
-
Bifofin)]
I
integral (Table 15 of Sec. 1-2). where Ei is the exponential t To take into account unequal surface cooling or heating conditions of a single-layer hollow cylinder, u»e Table 49 but reject all terms applying to second and third layers.
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
Table 48.
1-57
Conduction in Homogeneous Spheres
Nomenclature and General Procedure*
Calculate q\ /4r if not already known fa) If qi is known, qi/A* = gi/4r — H\(ri* — na)/3 is given in each particular case by (6) If d — ft is known, the first equation for that case. For sign conventions see text.
General Solution for Hollow Spheret
-
-
-
-
-
-
-
-
l/r,) qx/4r n)(n + 2r,)n/6 ffi(ri (li h>*i/(l/ri l/r,) + ffi(n Criterion for internal temperature £i — f* — [(fli/4r)(l/n n)»(n + 2n)/bn]/ki maximum: I tx l/r) + Wi(r n)»(r + 2ri)/6r)/*i [(fli/4r)(l/n eooling from both sides n> rm„J («i/4r)(3/.Yi) -(7,/4»)(3///0 or > 0 Fur fm„x evaluate rmax and substitute for r in t\ — I formula. rt* n» >
-See above figure.
- -
-
-
-
Hollow Sphere with Heat Through-flow and No Internal Heat Generation
-
-
-
-
1/rt) (ti (t)*i/(1/n (fli/4r)(l/ri l/n)/*i » 1 (oi/4ir)(l/ri l/r)/ifci Highest temperature: ti or ij at rt
Ai/4r
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-
or rt, respectively.
Hollow Sphere with Internal Heat Generation and No External Heat Input Caee 1.
Outward
heat flow
-
- tt - 0>7i(ri - n)Hn + 2n)/6r./fe. h - t - /7i(r - n)«(r + 2ri)/6r*i qi/Ax
I (i
Maximum temperature:
fi at rt
Inward heat flow
Cane 2.
-
-
-//.(rj> n")/3 »i/4* H,(n it n)>(2r! + n)/6tin li //i(r ri')/ri n)[2(rs> Muxiinuin temperature: fi at ri
tt /
- -
-
-
-
-
(r
-
n)(r
+ 2n)]/6*ir
•Safid Sphere with Internal Heat Generation
(i ti
- (i -timix
Hir,'/bki Hn'/bki
m ti at center
* Solutions are for uniform heat generation. t To take into account unequal surface cooling or heating conditions in a single-layer k Table 49 but reject all terms applying to second and third layers.
hollow sphere,
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1-58
SELECTED DATA AND FORMULAS AND GUIDE
Sf.C. 1-1] Table
60.
1-59
Simplified Conduction Formulas for Fuel Elements Temperature
Hi = heat (feneration per unit time per unit volume of fuel ay, at, a9 = thickness (radial in cylindrical geometry) of fuel, clad, and gap, respectively h = film coefficient at surface rj. Tt, and R = radius of fuel, mean radius of clad, and outside radius of clad respectively 14.2
Convection, Condensation, and Boiling
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Articles 3, 4, and 5 of Sec. 9-3 give comprehensive compilations of formulas for convection, condensation, and boiling, respectively. Table 11 of Sec. 1-1 may be used as an index to these formulas. For turbulent flow of nonmetallic fluids in long circular pipes See Table 3 of Sec. 9-3 Nu = 0.023 Re" 8 Pr« Radiation
14.3
In the high-heat-flux regions of reactors, radiation is usually negligible compared with conduction or convection. 14.31 Surface Radiation. For black-body conditions:
^=0171[(iS)4-(lS,)1 hR
«
6.84
(— V VlOOO/
q/A
~
M*i
<•)
-
Bt«/(ft.)(hr) Btu/(ftl)(hr)(°F) Btu/(ft«)(hr)
and Tt = absolute temperatures of the two surfaces, °R jH.v = average absolute temperature of the two surfaces, °R ii and tj = temperatures of the two surfaces, °F In cases where surface radiation is important, emissivity and geometric factors must be introduced.* Gas Radiation. Carbon dioxide and steam arc the only gaseous reactor 14.32 coolants that have strong absorption (and radiation) wavelength bands. The coeffi cient of heat transfer is usually at least an order of magnitude lower than for surface radiation, and can be evaluated as a rough approximation from Fig. 1. If the value from Fig. 1 shows gas radiation to be important, a more accurate evaluation should be made.* Example: For a layer 0.01 ft thick of a mixture of 50 per cent COj with nonabsorbing and average gas-wall temperature of 1500°F: gas, at a pressure of 100 atmospheres,
where
Ti
DP From Fig.
1,
has
"
5
= 0.01
X
50
X
100
= 50
Btu/(ft!)(hr)(°F).
•See, for example, W. H. McAdams, "Heat Transmission," 3d ed., McGraw-Hill Inc., New York, 1954.
Book Company,
GENERAL DATA
1-60
[Sec.
1
sc
||
40
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t- SO
Fio. 1. Nomograph to evaluate heat transfer coefficient by gas radiation. (From G. Etherington and H. Etherington, "Modern Furnace Technology," 3d. ed., Charles Griffin Jt Co., Ltd., London, in press.) 14.4
Over-all Coefficient of Heat Transfer, Conductance
14.41 Plane Geometry with Heat Flow Normal to Surface. The over-all coeffi cient of heat transfer U for constant heat through-flow q/A is defined by
q/A
-
U(l,
where ti and /> are the terminal temperatures of the system. Series Resistances to Heal Flow. For a series of parallel slabs of uniform thickness
U =
1
2(1 /A) + 2(a A)
where the first term of the denominator is the sum of the reciprocals of all surface coefficients in series and the second term is the sum of the thickness/conductivity ratios of all solid layers in series. Heat Flow Processes in Parallel. Heat transfer coefficients by independent processes in parallel are additive. For example, the heat transfer coefficient h from an external surface to surroundings at constant temperature is the sum of the convection and
radiation coefficients: h = hc
+
hR
If
he is a conductance across a transparent layer involving coefficients two heat-exchanging surfaces, hc = 1/(1/Ai + 1/hi).
14.42
Cylindrical and Spherical Geometries Cylindrical: U = 1-xL/CLl, + 2/) Spherical: U = 4x/(2t/ + XI)
where // and I are defined
in Table 49.
?i = UAt qi = UAt
hi and A2 at
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
15 See Sec. 9-4, by
1-61
THERMAL STRESS AND DISTORTION*
R. A. Daane. Nomenclature
and Units!
a = thickness of plate, inside radius of cylinder, in. 6 = outside radius of cylinder, in. d = diameter
E
—
k
«
H
=
t —
a = v =
of cylinder or sphere, in. modulus of elasticity, lb/(in.2) heat generation per volume, Btu/(hr)(in.*) thermal conductivity, Btu/(hr)(in.)(°F);fc = k'/V2 whereA;'isinBtu/(hr)(ft)(0F) temperature at a point, °F coefficient of linear thermal expansion, (°F)~l Poisson's ratio unit normal stress, tension when positive, lb/(in.*)
Table
61a.
Maximum
Thermal
Stress for Simple Shapes* Formula for maximum
Case
Component for uniform
Location of maximum stress.. Character of maximum stress Equality of surface stress Sign of surface stress
Component for temperature difference
between
surfaces
At surface At surface Biaxial, equal stresses | Biaxial, equal stresses Magnitude same at both surfaces except as modified by factors for thick hollow cylinders Tensile at both surfaces Tensile at colder surface, compressive at hotter surface
EaHd'
Solid sphere *
- ») 32*(l EaHa' I2i(l -
Long solid cylinder a-
')
Flat plate, free to bend a
EaHd'
■•)
60*(1
, Ha'
Ea 2(1
-
Atk
,)
-
Ea
-
2(1
, Ha'
.)
►)
-
2(1
Ea 2(1
I
Outride strews a\,
Ea 2(1
bk
y)
Inside stress a*
Ha'
Ea -
-)
Hollow cylinder!
-
- Il)t
•««
Mtt
-
/•(to
- (.)
(to
-
u)
U)
f
2(1
,)
Ea
Flat plate, not free to bend a.
J
/i
15.1
lh
t
is
a
* Stress components are algebraically additive; positive value indicates tension at the surface and For calculation of temperature difference, see Tables 46 to 48. a negative value indicates compression. The tensile (positive) stress at the colder surface. ii and 11 are the surface temperatures. are the temperatures at the inner and outer surfaces, /i. /». and are given in Table 516. la and respectively.
Order of Magnitude of Thermal Stress Calculated by Elastic Theory
*
the greatest temperature difference in the body and
For significance of calculated thermal stress see Art. 1.5 of Sec. 9-4. The formulas are valid for any consistent set of units, e.g., CGS°C.
is
V
—
K
where At
is
1
_ KEaAt
t
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Generally, owi < \$Ea(M)d where (M)d is the maximum temperature difference cross-sectional dimension of the bar. 15.2 See 16
Art.
2
in a length equal to the major
Thermal Distortion of Bars and Rods
of Sec. 9-4.
RADIATION DAMAGE TO LIQUIDS AND ORGANIC MATERIALS
See Sec. 10-5, by V. 16.1
P. Calkins.
Calculation of Radiation Damage to Specific Materials
See Art. 3 of Sec. 10-5. Damage to a specific material is estimated from Table 1 of Sec. 10-5 (water, aqueous solutions, and fused salts), Table 2 (organic fluids), Table 3 (elastomers), or Table 4 (plastics). The procedure is as follows: Calculate the rate of energy deposition Ei for the given flux of each kind Step 1. of particle, using the right-hand part of the appropriate tabic:
Ei
=
(given particle flux) X 10" Particle dosages each equivalent to 1 X 10" rads
rads/sec
For Tables 1 and 2, n = !); for Tables 3 and 4, n = 7. Determine the total rate of energy deposition by adding the values of Ei for each kind of particle. Find the acceptable dose in rads from the damage indicated in the table. Step 2. I^et this be D. Useful life of material = D/E sec, = D/Z.W0E hr = 0/(3.10 X lO'-E) Step 3. A numerical example is given in Art. 3.2 of Sec. 10-5. years. 16.2
Estimate of Fraction of Molecules Affected
In absence of data, the fraction of molecules affected may be estimated by formulas for energy absorption given in Art. 2 of Sec. 10-5.
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
Fraction of affected molecules
0
1-63
~ 10~1SG.1//J
= molecules affected
per 100 ev absorbed [commonly about four for covalent materials (see Art. 2.4 of Sec. 10-5)] M = molecular weight of compound D = absorbed dose in rads For example, if O = 4, M = 100, and D = 10" rad, the fraction of molecules affected = 0.04 or 4 per cent.
where
16.3 See
Radiation Damage to Electrical, Electronic, and Mechanical
Systems
Table 5 of Sec. 10-5. 17
SOLUTION OF EQUATIONS
by Alston S. Householder, and Sec. 3-2, by Ward Conrad Sangren. The theory and solution of equations are discussed in Arts. 4.2 and 4.3 of Sec. 3-1. Practical application of some of the methods of solution is illustrated here. See Sec. 3-1,
17.1 17.11
Polynomial Equations
Quadratic Equations
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ax* + bx + r = 0 X
-6
±
y/b*
-
4ac
2a
Cubic equations can be solved algebraically Cubic and Quartic Equations. trigonometrically, and the method can be extended algebraically to solution of quartic (biquadratic) equations that have at least one pair of real roots. However, Horner's method and Graeffe's method, described below, can be conveniently applied to these equations. See Art. 4.3 of Sec. 3-1. 17.13 Graeffe's Method for Polynomial Equations. Graeffe's method is direct, requires no trial solutions, and solves for complex roots as well as real roots. Complications which may develop are discussed at the end of the example. The Method. To solve the equation x* + bx' + cx* + dx' + ex' + fx + <7= 0, tabulate and proceed as described at the top of page 1-64. Criteria for Terminating the Process and Formulas for Roots of the Original Equation. case 1. Each of the coefficients bm, cm, . . . is equal to the square of the correspond ing coefficient for the preceding equation; i.e., the product terms become negligible. This is the case when all roots of the equation are real and unequal. In absolute magnitude, xx = \/bm/l, it = \Zcm/b„, x* - y/dm/e„, etc. The sign for each root must be found by trial, or by applying rules from theory of 17.12
or
equations.
case 2. The coefficients in a given column, say the c coefficients, become and remain always half the square of the corresponding coefficients of the preceding equa tions, while the coefficients on either side of this column behave normally, i.e., become the square of the preceding coefficients. This indicates two numerically equal roots, although the signs may be different. The absolute magnitude of each of the equal roots is \/dm/bm, i.e., the 2mth root of the ratio of the normal coefficients. case 3. The coefficients of one column, say the c coefficients, continue to behave This indicates irregularly, while the coefficients on either side behave normally. a pair of complex roots x = u ± iv. A negative coefficient at any stage (except in the original equation) indicates the presence of such a pair of roots.
GENERAL DATA
1-64 First
stage of solution
fc —
1
lac
^f
^d^
—,2bd
1
Description of process
—
2ce-p2df
^g
= coefficients of original equation = squares of coefficients
—2eg
(algebraic sums of above terms)
_
g'
products as alternating
indicated,
signs
= Coefficients of transformation
equation
Process is repeated until crite ria below are satisfied. For successive values of m, write m = 1, 2, 4, 8, 16,
4
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[Sec.
16
Qm
Modulus /dm/b„, —
Ji(6 \/r2
-
+ algebraic sum of all roots) u*
u ± iv
other cases. Cases of more than two roots equal in absolute magnitude, or more than one pair of complex roots between two real roots can also be solved by Graeffe's method, as shown on page 1-65.* Columns representing multiple roots may con Limitations of Graeffe's Method. verge slowly, and initial convergence may even give place to divergence as the method seeks to find roots which, in the higher-order equations, have been rendered unequal Roots of approximately equal absolute by accumulation of approximation errors. There are simple algebraic processes (see Art. value also lead to slow convergence. 4.2 of Sec. 3-1) for detecting and eliminating multiple roots (see standard works on Horner's method (Art. 17.14) is useful to find and remove theory of equations). troublesome roots. Numerical Example from Page 1-65. first hoot: x, = y/bn/\ = v'l.6148 X 10". Logi, 33.20812 -i- 64 = 0.51888 = rules from theory or by applying 3.3028. The can be found often by trial, |x,| sign of equations; for example, it is shown in Art. 17.14 that there is a root between —3 and —4, and it can easily be shown that there is no root greater than 3. X\ = —3.3028. pair of equal roots (shown by column r):
-
=
It
- tydm/bm
= !x^(8.75!)6 'V(8.7596
48 X 10") X 1077)/(1.01 10'')/(1.0148
-
2.2361
is found that both positive and negative values satisfy the equation.
* See, for example, Doherty, R. E.. and E. G. Keller, " Mathematics of Modem Engineering.' pp. 109 128, John Wiley A Sons, Inc., New York. 1930.
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= \V(4.7493 X 10S8)/(8.7596 X 10") = 0.49994 —}>4(b + algebraic sum of all real roots) = —1,^(3.5 2.2361 + 0.30277) 3.3028 + 2.2361
VU/dm
- V0.49994 - 0.06249
-
t, =
u» v/r» x,.s = u ± iv = -0.24999
+ 0.66140;
=
-
=
-0.24999
= 0.66140
0.24999(-l
± 2.6457t)
+2.2361, The six roots of the equation are: -3.3028, 0.2500(-l ± 2.6457t), +0.3028. See Art. 4.3 of Sec. 3-1. 17.14 Horner's Method for Polynomial Equations. This method is usually used in conjunction with rules for exploring the character of roots and assisting in approximate location of roots. The method is illustrated, without such aids, using the same equation as in the illustration by Graeffe's method. Divide through by the coefficient of the highest power of x, write Step 1.
f(x)
= xs + 3.5x5
-
4x<
-
-
16.5x3
- ox
5.5xs
+ 2.5
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and evaluate f(x) for a series of values of x: x
-4
-3
-2
-1
m
478.5
-32
10.5
12
1 1
0
1
2
j
2.5
-24
-49.5
3 |
748
f(x) can be evaluated by direct substitution, but (except for small integral values of x) This is illustrated for it can be evaluated more easily by the remainder theorem. x = 3:
Add (vertical arrow) and multiply by 3 (diagonal arrow) as indicated.
fix)
-
748
From the change in sign of tabulated values, fix) becomes zero between x — — 4 and x = — 3, between x = — 3 and x = — 2, between x = 0 and x = 1, and between x = 2 and x = 3. Arbitrarily, the equation will be solved for the root between 2 and 3. Step 2. A new equation is formed with all its roots 2 less than those of the original equation. The process starts like the method described in Step 1 for evaluating fix), but is repeated in the manner shown. 1
3.5 2
1
1
I 1
5.5
7
-16.5 14
-2.5
-5.5
-5
2.5
-10.5
-21 -26
-52 -49.6
-5
15
44
83
145
7.5
22
41.5
72.5
119
2
19
82
975
41
123.5
2
23
128
64 27
251.6
11 .5
13.5 2
1
11
2
2 1
-4
15.6
91
247
319.5
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
-
1-67
The "remainders" (boldface) are the coefficients of the transformed equation, 0, whose roots are 49.5 x* + 15.5xs + 91x* + 251.5xs + 319.5xJ + 119x /
-
15.5
1
OA^
15.9
1
251.5
91
6. 36
38.94
97.36
290.44
"
-
-49.5
319.5
119
116.18
174.27
435.68
293.27
[0^4
117.31
67.81
Higher values of x give larger positive values of f(x); so the root must be less than = 0.4. Trial shows that for x = 0.3, /(x) = 22.52, and for x = 0.2, /(x) = -10.76; All roots of the equation are next i.e., the root lies between x = 0.2 and x = 0.3. decreased by 0.2.
i
1
15.5
91
0.2
3
319.5 54.07 373.57 57.96
193.71
280.02
15.7
94 14 18
270.33 19.46
1
15.9
97 32 3 22
289.79 20.11
431.53 61.98
1
16.1
100 54 3 26
309.90 20.76
493.51
80
S30.66
3
0.2 0.2
16.3
1
103
0_2_
1
16.5 (K2
1
16.7
The transformed
+
x«
119
18.83
1
0.2
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251.5 14
74.71
-49.5 38.74
-10.76
86.31
3.30 107.10
equation with roots 2.2 less than those of the original equation is
16.7xs + 107.10x<
+ 330.66xJ + 493.51xs + 280.02x
-
10.76 = 0
To continue the process, locate the root lying between 0 and 0.1. As a first approxi mation, x = 10.76/280.02 = 0.038, and evaluation confirms that the root lies between The equation is therefore transformed by reducing all roots by 0.03, 0.03 and 0.04. giving x«
The roots of this equation are now 2.23 less than those of the original equation, and continuation of the process establishes the root of the new equation as being close to 0.006; hence the root of the original equation is x = 2.236 The syn Reduce the original equation by dividing by (x — 2.236). Step 3. thetic division is identical with Step 1, with the root being used as the multiplier 1
1
3.5
-4
2.236
12.8257
5.736
8.8257
-16.5 19.7343
3.2343
-5.5
-5
7.2319
3.8725
1.7319
-1.1275
2.5
-2.5211 -0.0211
|2.236
GENERAL DATA
1-68
[Sec.
- 1.1275
1
= 0. The reduced equation is xs + 5.7360x« + 8.8257x» 4- 3.2343xs + 1.7319x The quantity —0.0211, interpreted in Step 1 as the value of f(x) when x = 2.236, Ideally the remainder is alternatively the remainder after division by (x — 2.236). should be zero, and the division serves as a check on the accuracy of the solution. The reduced equation is solved for another root, and the process can be continued If t here is only one pair of complex roots, these until all real roots have been found. can be obtained from the residual quadratic equation. Solution for the root between 0 and 1 gives x = 0.304 and a reduced equation x> + 6.0400x3 + 10.6619x2 + 6.4755x + 3.7005 = 0. Solution of this equation for the root between —2 and —3 gives x = —2.236 and a reduced equation xs + 3.8040x2 + 2.1562x
Solution for the root between + 0.5014 = 0.
x* 4- 0.5010x
+ 1.6542 =
0
—3 and —4 gives x = —3.303 and a reduced equation Solution of this quadratic equation gives x =
0.2505(-l
± 2.6439t)
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The roots of the equation are thus -3.303, ±2.236, 0.2505(-l ± 2.6439t), +0.304. If the equation contains more than one pair of Limitation of Horner's Method. complex roots, the residual equation after eliminating real roots is of fourth or higher The residual equation can, however, be solved by Graeffe's method. degree. 17.2
Solution of Transcendental Equations
The following methods are applicable for finding real roots of any equation in one variable, including transcendental equations. The methods are illustrated by solution of the equation x — sin x = 1. 17.21 Let ;/ = sin x, then Approximate Solution by the Two-graph Method. also y = x — 1. Plot the two equations with y as ordinate and x as abscissa. Points In this case, the only of intersection of the two curves give roots of the equation. A large-scale plot in the region of x = 1.9 will give real root is at x » 1.9 (Fig. 2). a closer approximation. 3 2 y i 0
Fig.
-I 2.
Two-graph method to solve transcendental
equations.
This method is useful as a starting point for the following two numerical methods. 17.22 Method of Successive Linear Interpolation. (See also Method of False Position in Art. 4.3 of Sec. 3-1.) Write f(x) = x — sin x — 1 and find two values of x close together, say a and b, such that f(a) = a — sin a — 1 and f(b) = b — sin 6 — 1 differ in sign. Then linear interpolation will give as a first approximation 11
°
[/('')- m)/(b
-
a)
°r
*'
[/(6)
-f(a)]/{b
-
a)
The process is repeated using values of a and 6 closer to Xi, but still yielding a difference in sign between f(a) and/(6). Further repetition gives increasingly close approximation.
SELECTED DATA AND FORMULAS AND GUIDE
SEC. 1-1]
1-69
For the illustrative equation,
/(a)
=
- - 0.8415 -
/(D
1
/HO = /(2) = 0,
e,
= 1
-
= 2
-
2
1 =
-0.8415
1
+0.0907
- 0.9093 - -0.8415
(0.090 7 + 0.8415)/(2 0.0907 (0.0907
+ 0.8415)/(2
_ d
1-w-'
— 1 90" >7
- -
1.9027
1)
For the next approximation try a = 1.90, /(a) = —0.0463, and (after inspecting in the first approximation) b = 1.95, fib) = +0.0210.
the values developed
6i = 1.9
For the difference
-°-°f3
+ 0.0463)/(1.95
next approximation, try a = 1.934, /(a) of sign) b = 1.935, /(6) = 0.0006. e»
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(0.0210
0 0008
= 1.934
0.0014/0.001
-
= 1.9344 1.90)
= —0.0008,
1.934 + 0.0006
and (maintaining
a
= 1.9346
The next approximation gives 0» = 1.9345. 17.23 Newton's Method. Newton's method is a refinement of the method of It is illustrated by solution of the equation used in successive linear interpolation. the linear-interpolation method above. — cos 9, Write f(9) = 6 — sin 6 — 1 and the first and second derivatives. f'{8) = 1 /"(») = sin 0. Find As before, locate the root approximately :/(l) 0.8415, /(2) = +0.0907. = 0.8415, /"(2) = +0.9031. For a first approximation, 9\, use the value of 9 in which /(9) and /"(9) have the same sign, i.e., 6 = 2.
f(l)
e2 =
Successive
approximations
9l_/W=2-0^07 1.4161 /'(9i)
are made without
= 1.9359
reference to f"($).
93_,,_ZW _19M_O0020 1.3571 f'(82)
6t =
1.9346
-0-0001= 1.3558
1.9345
method is convenient only if the derivative is a simple expression; also, is contingent on specific conditions being satisfied. The less elegant linear-interpolation method is not so restricted. Newton's
convergence
17.3 17.31 in
Art.
by the
Solution of Systems of Linear Algebraic Equations
Several variants of this method arc discussed Solution by Elimination. of Sec. 3-1, including the Doolittle method. This method is illustrated following numerical example, incorporating an arithmetic check at each step: 4.1
1-70
GENERAL 4.15x 3.213
2.9U
- 3.17y
DATA
[Sec.
-
- 3.3U
+ 2.412
1
7.61 = 2.41 + 1.65y + 2.332 = 8.41
+2.12y
Check sum* Operation
V
I. Coefficients of equations
Referring to
of
-3
4. 15 3.21 2.91
by the
I
17 2 12 1 65
764 0 660 0 567
-1 -1
subtract second line from first, and third from
each line coefficient of
of
by
3
Divide
the
4
6.
Divide
from
By operation
By addition
(11.00) (4.43) (15.30)
11.00 4.43 15.30
0.581 1.031 0. 801
1.834 0.751 2.890
2.651 1.380 5.258
2.651 1.380 5.258
1.612
-0.220
1.083 1.056
-2.607
-2.607
-1.132
-0.761
-0.893
-0.893
0.165
0.793
1.959
1.958
1.297
-1.554
-2.852
-2.851
.198
2.199
1.271
1.271
z
- 1.834 (0.581
0.581* 0.595)
-
0.761
1.698
X 1.198)
+
(0.764
1.198 0.761 = (1.132 X 1.198)
.'
IMS
-
0.69
+
0.764»
-
-
6
z
-
4
1.132*
X
From operation
of
2
5
by coefficient
From operation
1.834
*
The numbers in the first column (except numbers in parentheses) are obtained by applying the The numbers in the second column (and the numbers indicated operation to the preceding check sums. in parentheses in the first column) are obtained by direct addition of the coefficients in the same hori zontal row. The numbers must check at each line.
-
+
d, d,
is
is
+
Check by substituting in one of the original equations. For example, a check using the first equation gives (4.15 X 1.593) (3.17 X 0.595) (2.41 X 1.198) = 7.012. It possible to solve the problem with one less row of figures, but the procedure somewhat less straightforward. 17.32 Solution by Determinants. Sec Art. 1.4 of Sec. 3-1. The solution to the simultaneous equations Oil ftil/ + f|2 = ail + bty + c»z — asj + b,y + c,z — d,
Hi
C
a,
C\
<■■:
Of
C|
a.
c*
«...
C|
a.
//,
c» Cl
"
a, Ol
a",
(1,
Cj
d,
C\
,1,
h. !>■: fci ft, ft, ft,
Ql
a,
b, ft. d,
"i
a,
c. e«
y
d, d,
d.
d,
written directly in determinant form as follows: b, ft, bt ft, /,, ft,
is
d. 0\ c» C|
is
The denominator the same in each case, and the determinant formed by the coefficients of the unknowns. The numerators are identical with the denominators except for one column, in which the quantities on the right-hand side of the equation replace the coefficients of the particular unknown expressed. is
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4
5.
Subtract second line of first line of
424 331
1 1
y
4.
first
7.61 2.41 8.41
2.41
-3.31 2.33
-0
I
2,
3.
2. Divide each line coefficient (if x
Right siilc
SEC. 1-1]
SELECTED DATA AND FORMULAS AND GUIDE
To evaluate
1-71
the denominator Oj
61
Ci
ai
6S
c2
at
63
c3
6j
C2 &3
^1
+
6l
«3
Cl I
(In this expansion the elements of the first column become the coefficients of the Each minor is obtained from the determinant minors, with the signs alternating. by suppressing the column and row containing the particular a coefficient.)
-
ai(biC,
— 6,c2)
- as(6,Cj
— 6jCi)
— bjCi)
+ os(6iCS
iTo evaluate a second-order determinant, multiply the elements diagonally in pairs, downward to the right positive, upward to the right negative.) For n simultaneous equations, the nth-order determinant is expanded in terms of its n minors (determinants of order n — 1), and so on. The properties of deter minants permit manipulation to simplify the work. Numerical example: 4.15x 3.17j/ + 2.41z = 7.61 3.2Lr + 2.12s/ 3.31z = 2.41 2.91* + 1.65i/ + 2.33.J = 8.41
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-
7.61 2.41 8.41
-3.17 2.12 1.65
-3.31
4.15 3.21 2.91
-3.17
2.41
2.41
-
2.33 !l
-3.31
2.12 1.65
2.33
z =
4.15 3.21 2.91
4.15 3.21 2.91
-3.17
2.41
2.12 1.65
-3.31
2.12 3.31 1.65 2.33| 4.15(4.940 + 5.462)
-
3.21
8.41
2.33
95.311
"
= » = !/
L593
I
-3.17
I
1.65
(-7.386
56.774 95T3H
2.33
2.33
2Al
I
,on, i jy
2.33 ! 3.977)
-
i I
2.12
-
114J94
0.596
-3-17
2-41
-3.31
I
4- 2.91(10.493 5.109) * 95.311
By similar evaluation of the numerators 151.823
2.41
-3.31
7.61 2.41 8.41
2.12 1.65
•J" 3.21
-3.31
2.12 1.65
-3.17
2.41
7.61 2.41
-3.17
4.15 3.21 2.91
4.15 3.12 2.91
= 4.15
Denominator
-
95.3lT
= 1.198
in original equations
Substituting
(4.15 (3.21 (2.91 18
X X X
-
1.593) (3.17 1.593) + (2.12 1.593) + (1.65
X X X
0.596) 0.596) 0.596)
+ (2.41 X 1.198) = 7.609
-
(3.31
X
1.198)
+ (2.33 X 1.198)
= 2.413 = 8.410
ATOMIC ENERGY COMMISSION LITERATURE
is intended as an aid in locating and identifying the AEC literature at the end of most sections of the handbook. References to commercial publications and publications of scientific and technical societies ne«d no clarification.
This article
referenced
18.1
Availability of AEC Literature
Unclassified and declassified AEC Depository Libraries. AEC reports 18.11 are available in approximately 70 depository libraries throughout the United States.
GENERAL DATA
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1-72
[Sec.
1
Approximately the same number of depository libraries have been established in foreign countries. The locations of these libraries are given in most of the general and informational AEC publications, e.g., Refs. 1, 2, and 5 of Art. 18.2.* A few of the depository libraries are designated "industrial information depository These have supplementary technical reports and abstracts and collections libraries." of unclassified AEC drawings. 18.12 The Office of Technical Services, U.S. Department of Commerce, Wash Many unclassified and declassified reports can be purchased from ington 25, D.C. this agency (abbreviated OTS in subsequent references) in printed, photostatic, or microcopy form. List of reports free on request (Ref. 3 of Art. 18.21). 18.13 Superintendent of Documents, U.S. Government Printing Office, Wash ington 25, D.C. Some of the more substantial AEC documents can be purchased List of reports, from this agency only (abbreviated GPO in subsequent references). "Atomic Energy and Civil Defense Price List," free on request. AEC Technical Information Service Extension (TISE), P.O. Box 1001, Oak 18.14 Some documents are obtainable from this agency (abbreviated TISE Ridge, Tenn. in subsequent references). 18.16 Microcopy. Microcopy is available from OTS, from Microcard Foundation, P.O. Box 2145, Madison 5, Wis., and from Readex Microprint Corporation, 115 University Place, New York 3, N.Y., the two latter being commercial enterprises. Atomic Energy Publications by Other Public Agencies. United States 18.16 Bureau of Standards handbooks relating to radiological protection may be obtained from GPO at prices ranging from SO. 15 to $0.25. Nuclear Science Series Reports are available from the National Academy of Sciences — National Research Council, Washington, D.C. 18.2
Guides to AEC Literature
The following AEC publications indicate content, source, price, and other pertinent data relating to official publications. 18.21 Consolidated Listings (NSA), issued twice monthly, GPO, $7.50 per year, 1. Nuclear Science Abstracts Abstracts of pertinent scientific and technical also by purchase of separate issues. Also periodic cumulated and supplementary literature, official and unofficial. indexes, the latter serving to supplement TID-4000 (see next item). 2. TID-4000, "Cumulated Numerical List of Available Unclassified U.S. Atomic Gives report Energy Commission Reports," revised from time to time, OTS, $1.25. numbers (not titles), readily available sources (official and other), reference to Nuclear Science Abstracts, and prices if for sale. 3. "List of AEC Research Reports for Sale," revised twice a year, OTS, free. Gives report numbers, titles, etc., and prices. 4. TID-4022, "Consolidated Availability Listing of Confidential Reports Announced to the Civilian Application Program," revised quarterly, TISE, free to L-and Q-cIeared TID-4022 is unclassified. Formerly the listings appeared access permit holders. in the abstract journal, Confidential Reports for Civilian Applications (RCCA). Gives report number (not title), category, abstract reference, prices of printed reports and microcopy. Availability Listing of Secret Reports Announced 5. TID-4023, "Consolidated to the Civilian Application Program," revised quarterly, TISE, free to Q-cleared access permit holders. TID-4023 is unclassified. Formerly the listings appeared in TID-3063, "Bibliography of Secret U.S. Atomic Energy Reports Available through the Civilian Gives report number (not title), category, Application Program." abstract reference, prices of printed reports and microcopy. 6. TID-4100, "Unclassified Engineering Materials List" (UEML), with supple ments, issued from time to time, Technical Information Service Extension (TISE), P.O. Box 1001, Oak Ridge, Tenn., free. * An up-to-date
list should be consulted,
since the number of libraries
is continually increasing.
SEC. 1-1]
SELECTED DATA AND FORMULAS AND GUIDE
1-73
This document is "A Catalog of Drawings, Photographs, and Specifications Released The listed items are for sale by the United States Atomic Energy Commission." and the price and source are stated. Additional information from TISE. 7. TID-4550, ''What's Available in the Unclassified Atomic Energy Literature," revised from time to time, GTS, free. Gives general information on AEC literature. Lists some AEC-sponsored series, manuals, and handbooks. Less detailed than
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TID-4575. 8. TID-4563, "Special
Sources of Information on Isotopes," September, 1957, Isotopes Extension Division of Civilian Application, U.S. AEC, Oak Ridge, Tenn., free. A guide to sources of information on radioisotopes. 9. TID-4575, "Guide to Atomic Energy for the Civilian Application Program," revised from time to time, OTS, free. Describes in considerable detail the various categories of AEC publications, including availability and means of locating material. 10. "Selected Readings on Atomic Energy," revised from time to time, GPO, $0.25. Describes important official and commercial books, periodicals, and bibliographies. 11. Classified Reports. Abstracts and consolidated availability listings of con fidential and secret reports are available to qualifying organizations and personnel These include TID-3063 (bibliography, through the Civilian Application Program. see Item 5); TID-3080, Nuclear Technology (bibliography); TID-3081, Feed Materials (bibliography); Bulletin (confidential); Confidential Reports Report Announcement for Civilian Applications, CRCA (abstract journal, formerly Civilian Applications of Atomic Energy). Changes of classification from secret or confidential to unclassified are listed in TID-4035, "AEC Reports Declassified," and supplements. TID-4035 gives report number, title, author, date, and classification status. Catalog cards are available (including abstracts) from TISE 12. Card Catalog. for reports abstracted in the various AEC journals. 18.22 Additions to the Literature 1. Nuclear Science Abstracts Each semimonthly issue (see Ref. 1 of Art. 18.21). gives abstracts of additions to the technical literature, and announces new nuclear data. 2. Monthly listings and abstracts of new literature (unclassified and classified) are available on a subscription basis. 3. Press releases. Important announcements are made by AEC in the form of Many press releases, which are also given wide distribution in mimeographed form. of these announcements are of economic or technical importance. 18.3
References Available in Alternative Forms
Several publications are referred to frequently in the handbook, hut not always in identical terms, since some are available in alternative forms. The following arc the more important cases of dual publication. 18.31 Nuclear Data. The standard reference for nuclear data other than data on neutron cross sections has been : K. Way, et al, "Nuclear Data," Nat. Bur. Standards (U.S.) Circ. 499 (1950) and supplements. This important reference is being revised and expanded, under the sponsorship of the U.S. AEC, by the Nuclear Data Group of the National Academy of Sciences — National Research Council. It is now issued as; a. "Nuclear Level Schemes," published in sections, each section being released when completed, available from GPO. b. Nuclear Data Cards, available on an annual subscription basis from Publications Office, National Academy of Sciences — National Research Council, Washington, D.C. c. New Nuclear Data, cumulated from Nuclear Data Cards quarterly, semiannually, and annually, and published in Nuclear Science Abstracts; the same medium was used formerly to supplement Nat. Bur. Standards (U.S.) Circ. 499. Several important books have been sponsored by the 18.32 Reference Books. AEC and published both commercially in cloth covers and also officially in paper
GENERAL DATA
1-74
[SEC.
1
The Government Printing Office editions are often referred to by code numbers instead of titles. The most important, books in this category are given below with the name of the commercial publisher and the AEC document number. 1. D. J. Hughes and J. A. Harvey, "Neutron Cross Sections," McGraw-Hill Book The preceding edition appeared as Company, Inc., New York, 1955. BNL-325. covers.
AECU-2040. McGraw-Hill Book 2. "The Reactor Handbook," published in three volumes. Company, Inc., New York, 1953. AECD-3645, AECD-3046, and AECD-3047. 18.4
The United States Atomic Energy Commission
1. Semiannual Reports of the U.S. Atomic Energy Commission to the Congress of the United States, Washington, D.C., republished for sale under a variety of titles,* GPO, various prices, $0.35 to $1.25. Appendixes give much general information and describe the organization, policies, operations, etc., of AEC.
REFERENCES and J. A. Harvey: "Neutron Cross Sections," McGraw-Hill Book Com pany, Inc., New York, 1955. Also Supplement 1 by D. J. Hughes and R. B. Schwartz (1957). 2. Westcott, C. H.: "Effective Cross Section Values for Well-moderated Thermal Reactor Spectra," CRRP-680, TNCC(Can)-7, (also AECL-407), January 25, 1957. Revised as AECL No. 670(CRRP-787), August 1, 1958. 3. ANL 5800: "Reactor Physics Constants," August, 1958. 1. Hughes,
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D. J.,
* In recent years, for the designated " Programs has been used.
ft-month
period the title " Major Activities in the Atomic Energy
MATHEMATICAL TABLES
1-2
BY
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Harold Etherington and Elesa R. Etherington Reactor calculations, as made by organized computer groups, are often carried out on desk calculating machines or by digital computers to eight or more significant The nuclear data entering into the calculations are, however, seldom accu figures. rate to more than two or three significant figures, and if calculations are to be made without the services of a computer group, slide-rule accuracy in conjunction with fourfigure tables is satisfactory for most purposes for which such calculations would be For the most part, the tables of this section are confined to those commonly made. used in nuclear engineering.
TABLES
1
OF FUNCTIONS
Tables of the circular, exponential, hyperbolic, modified Bessel (/0, I\, Ko, K{), and factorial, exponential integral (argument 0 to 5), and error (argument 0 to 1) functions have been prepared, with permission of the publishers, from E. Fliigge, "Four Place Tables of Transcendental Functions," McGraw-Hill Book Company. Tables of the other Bessel functions (J0, Jt, Ya, Y,), I^egendre polynomials, and error function (argument 1 to 3) have been prepared, with permission of the publishers, from E. Jahnke and F. Emde, "Tables of Functions with Formulae and Curves," Dover Publications, New York.* The tables have been modified to a consistent form, and explanatory notes have been added. In many cases, these two references and other four-figure tables provide alternative sources over some part of the range
r
covered.
Tables of the functions En(x) and Ez(z) have been compiled from the six-figure tables of the National Research Council of Canada, t Auxiliary functions for par ticular ranges of the Bessel functions have been prepared from the eight-figure tables of the British Association^ the tables for the modified functions have been further extended by computation for values of the argument from 20 to 40. Table
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DATA
2.7463. 10') 10, etc. 3 = 7.7463 log (5.576 X 10"') 3.7463 = 0.7463 -2.2537. 3. log 0.005576 The mantissa (decimal part of the logarithm) is independent of the position of the decimal place in the number. The char act eristic (integer part of the logarithm) can bIbo be found by inspection. It is positive for numbers having significant figures to the left of the decimal place and is one less than the number of It is negative for numbers less than unity and is numerically equal such figures (Examples I and 2). to the number of decimal places up to and including the first significant figure to the right of the decimal place (Example 3).
-
-
-
-
-
mathematical tables
Sec. 1-2]
Table 2.
(Continued)
0
1
2
3
4
5
6
7
8
9
0 7404 7482 7559 7634 7709
7412 7490 7566 7642 7716
7419 7497 7574 7649 7723
7427 7505 7582 7657 7731
7435 7513 7589 7664 7738
7443 7520 7597 7672 7745
7451 7528 7604 7679 7752
7459 7536 7612 7686 7760
7466 7543 7619 7694 7767
7474 7551 7627 7701 7774
7782 7853 7924 7993 6062
7789 7860 7931 8000 8069
7796 7868 7938 8007 8075
7803 7875 7945 8014 8082
7810 7882 7952 8021 8089
7818 7889 7959 8028 8096
7825 7896 7966 8035 8102
7832 7903 7973 8041 8109
7839 7910 7980 8048 8116
7846 7917 7987 8055 8122
5 6 7 8
8129 8195 8261 8325 8388
8136 8202 8267 8331 8395
8142 8209 8274 8338 8401
8149 8215 8280 8344 8407
8156 8222 8287 8351 8414
8162 8228 8293 8357 8420
8169 8235 8299 8363 8426
8176 8241 8306 8370 8432
8182 8248 8312 8376 8439
8189 8254
7.0 7. 7 4
8451 8513 8573 8633 8692
8457 8519 ' 8579 8639 8698
8463 8525 8585 8645 8704
8470 8531 8591 8651 8710
8476 8537 8597 8657 8716
8482 8543 8603 8663 8722
8488 8549 8609 8669 8727
8494 8555 8615 8675 8733
8500 8561 8621 8681 8739
8506 8567 8627 8686 8745
5 6 7 8 9
8751 8808 8865 8921 8976
8756 8814 8871 8927 8982
8762 8820 8876 8932 8987
8768 8825 8882 8938 8993
8774 8831 8887 8943 8998
8779 8837 8893 8949 9004
8785 8842 8899 8954 9009
8791 8848 8904 8960 9015
8797 8854 8910 8965 9020
8802 8859 8915 8971 9025
8 0 8 1 8 3 8 4
9031 9085 9138 9191 9243
9036 9090 9143 9196 9248
9042 9096 9149 9201 9253
9047 9101 9154 9206 9258
9053 9106 9159 9212 9263
9058 9112 9165 9217 9269
9063 9117 9170 9222 9274
9069 9122 9175 9227 9279
9074 9128 9180 9232 9284
9079 9133 9186 9238 9289
« 5 6 7 8 9
9294 9345 9395 9445 9494
9299 9350 9400 9450 9499
9304 9355 9405 9455 9504
9309 9360 9410 9460 9509
9315 9365 9415 9465 9513
9320 9370 9420 9469 9518
9325 9375 9425 9474 9523
9330 9380 9430 9479 9528
9335 9385 9435 9484 9533
9340 9390 9440 9489 9538
9 0 9.1 9 2
9.3 9.4
9542 9590 9638 9685 9731
9547 9595 9643 9689 9736
9552 9600 9647 9694 9741
9557 9605 9652 9699 9745
9562 9609 9657 9703 9750
9566 9614 9661 9708 9754
9571 9619 9666 9713 9759
9576 9624 9671 9717 9763
9581 9628 9675 9722 9768
9586 9633 9680 9727 9773
9 9 9 9 9
9777 9823 9868 9912 9956
9782 9827 9872 9917 9961
9786 9832 9877 9921 9965
9791 9836 9881 9926 9969
9795 9841 9886 9930 9974
9800 9845 9890 9934 9978
9805 9850 9894 9939 9983
9809 9854 9899 9943 9987
9814 9859 9903 9948 9991
9818 9863 9908 9952 9996
5 5
5.6 5 7
5.8
5 9 6 0 6 1 6 2
6.3 6.4 6 6 6 6
6.9
7 1
7.2
J
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Common Logarithms.
1-77
7 7 7 7 7
8.2
8 * i? 1
5 6 7 8 9
log ab
"
log a + log b
log a" ■»n log a log
(The cotogarithm
of
*
M
I
0
Va
= log a — log 6 »= log a'/"
=
- log
a
is the logarithm of its reciprocal.)
log « -0.4343
log a - M In n
log*
log
-
log a =« colog a
number
-
log
= 0.4971
0.4343 In a
- In 10 - 2.3026 In a - — log a - 2.3026 —
log a
8319 8382 8445
1-78
GENERAL
[Sec.
Natural or Naperian Logarithms
Table 3. 0
1
2
3
4
5
6
7
8
9
0.0000 0953 1823 2624 3365
0100 1044 1906 2700 3436
0198 1133 1989 2776 3507
0296 1222 2070 2852 3577
0392 1310 2151 2927 3646
0488 1398 2231 3001 3716
0583 1484 2311 3075 3784
0677 1570 2390 3148 3853
0770 1655 2469 3221 3920
0862 1740 2546 3293 3988
0.4055 4700 5306 5878 6419
4121 4762 5365 5933 6471
4187 4824 5423 5988 6523
4253 4886 5481 6043 6575
4318 4947 5539 6098 6627
4383 5008 5596 6152 6678
4447 5068 5653 6206 6729
4511 5128 5710 6259 6780
4574 5188 5766 6313 6831
4637 5247 5822 6366 6881
2.2 2.3 2.4
0.6931 7419 7885 8329 8755
6981 7467 7930 8372 8796
7031 7514 7975 8416 8838
7080 7561 8020 8459 8879
7129 7608 8065 8502 8920
7178 7655 8109 8544 8961
7227 7701 8154 8587 9002
7275 7747 8198 8629 9042
7324 7793 8242 8671 9083
7372 7839 8286 8713 9123
2.5 2.6 2.7 2.8 2.9
0 9163 9555 0.9933 1. 0296 0647
9203 9594 9969 0332 0682
9243 9632 •0006 0367 0716
9282 9670 *0043 0403 0750
9322 9708 *0080 0438 0784
9361 9746 •0116 0473 0818
9400 9783 •0152 0508 0852
9439 9821 •0188 0543 0886
9478 9858 •0225 ' 0578 0919
9517 9895 *0260 0613 0953
3.0
3 4
1. 0986 1314 1632 1939 2238
1019 1346 1663 1969 2267
1053 1378 1694 2000 2296
1086 1410 1725 2030 2326
1119 1442 1756 2060 2355
1151 1474 1787 2090 2384
1184 1506 1817 2119 2413
1217 1537 1848 2149 2442
1249 1569 1878 2179 2470
1282 1600 1909 2208 2499
3.5 3.6 3.7 3.8 3.9
1.2528 2809 3083 3350 3610
2556 2837 3110 3376 3635
2585 2865 3137 3403 3661
2613 2892 3164 3429 3686
2641 2920 3191 3455 3712
2669 2947 3218 3481 3737
2698 2975 3244 3507 3762
2726 3002 3271 3533 3788
2754 3029 3297 3558 3813
2782 3056 3324 3584 3838
4.0 4.2 4.3 4.4
1. 3863 4110 4351 4586 4816
3888 4134 4375 4609 4839
3913 4159 4398 4633 4861
3938 4183 4422 4656 4884
3962 4207 4446 4679 4907
3987 4231 4469 4702 4929
4012 4255 4493 4725 4951
4036 4279 4516 4748 4974
4061 4303 4540 4770 4996
4085 4327 4563 4793 5019
4.5 4.6 4.7 4.8 4.9
1.5041 5261 5476 5686 5892
5063 5282 5497 5707 5913
5085 5304 5518 5728 5933
5107 5326 5539 5748 5953
5129 5347 5560 5769 5974
5151 5369 5581 5790 5994
5173 5390 5602 5810 6014
5195 5412 5623 5831 6034
5217 5433 5644 5851 6054
5239 5454 5665 5872 6074
5.0
1 6094 6292 6487 6677 6864
6114 6312 6506 6696 6882
6134 6332 6525 6715 6901
6154 6351 6544 6734 6919
6174 6371 6563 6752 6938
6194 6390 6582 6771 6956
6214 6409 6601 6790 6974
6233 6429 6620 6808 6993
6253 6448 6639 6827 7011
6273 6467 6658 6845 7029
1.7047 7228 7405 7579 7750
7066 7246 7422 7596 7766
7084 7263 7440 7613 7783
7102 7281 7457 7630 7800
7120 7299 7475 7647 7817
7138 7317 7492 7664 7834
7156 7334 7509 7681 7851
7174 7352 7527 7699 7867
7192 7370 7544 7716 7884
7210 7387 7561 7733 7901
1.0
I.I
1.2 1.3 1.4 1.5 1.6 1.7
1.8 1.9
2.0 2.1
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
DATA
3.1 3 2
3.3
4. 1
5.1
5.2 5 3
5.4 5 5
5.6 5.7 5 8
5.9
In x
-
2(a +
aJ/3
+
a'/5
+
•) where a
-
(x
-
l)/(i
+ I)
1
Sec.
mathematical tables
1-2] Table
Natural or Naperian Logarithms.
(.Continued)
0
1
2
3
4
5
6
7
8
9
6.4
1.7918 8083 8245 8405 8563
7934 8099 8262 8421 8579
7951 8116 8278 8437 8594
7967 8132 8294 8453 8610
7984 8148 8310 8469 8625
8001 8165 8326 8485 8641
8017 8181 8342 8500 8656
8034 8197 8358 8516 8672
8050 8213 8374 8532 8687
8066 8229 8390 8547 8703
6 6 6 6 6
5 6 7 8 9
1 8718 8871 9021 9169 9315
8733 8886 9036 9184 9330
8749 8901 9051 9199 9344
8764 8916 9066 9213 9359
8779 8931 9081 9228 9373
8795 8946 9095 9242 9387
8810 8961 9110 9257 9402
8825 8976 9125 9272 9416
8840 8991 9140 9286 9430
8856 9006 9155 9301 9445
7 0 7. 1 7 2 7.
7.4
1.9459 9601 9741 1 9879 2 0015
9473 9615 9755 9892 0028
9488 9629 9769 9906 0042
9502 9643 9782 9920 0055
9516 9657 9796 9933 0069
9530 9671 9810 9947 0082
9544 9685 9824 9961 0096
9559 9699 9838 9974 0109
9573 9713 9851 9988 0122
9587 9727 9865 •0001 0136
7 5
2.0149
0162 0295 0425 0554 0681
0176 0308 0438 0567 0694
0189 0321 0451 0580 0707
0202 0334 0464 0592 0719
0215 0347 0477 0605 0732
0229 0360 0490 0618 0744
0242 0373 0503 0631 0757
0255 0386 0516 0643 0769
0268 0399 0528 0656 0782
0919 1041 1163 1282
0807 0931 1054 1175 1294
0819 0943 1066 1187 1306
0832 0956 1078 1199 1318
0844 0968 1090 1211 1330
0857 0980 1102 1223 1342
0869 0992 1114 1235 1353
0882 1005 1126 1247 1365
0894 1017 1138 1258 1377
0906 1029 1150 1270 1389
2. 1401 1518 1633 1748 1861
1412 1529 1645 1759 1872
1424 1541 1656 1770 1883
1436 1552 1668 1782 1894
1448 1564 1679 1793 1905
1459 1576 1691 1804 1917
1471 1587 1702 1815 1928
1483 1599 1713 1827 1939
1494 1610 1725 1838 1950
1506 1622 1736 1849 1961
2. 1972 2083 2192 2300 2407
1983 2094 2203 2311 2418
1994 2105 2214 2322 2428
2006 2116 2225 2332 2439
2017 2127 2235 2343 2450
2028 2138 2246 2354 2460
2039 2148 2257 2364 2471
2050 2159 2268 2375 2481
2061 2170 2279 2386 2492
2072 2181 2289 2396 2502
9 9
2 2513 2618 2721 2824 2925
2523 2628 2732 2834 2935
2534 2638 2742 2844 2946
2544 2649 2752 2854 2956
2555 2659 2762 2865 2966
2565 2670 2773 2875 2976
2576 2680 2783 2885 2986
2586 2690 2793 2895 2996
2597 2701 2803 2905 3006
2607 2711 2814 2915 3016
10 0
2 3026
6 0
6. 1 6 2 6 3
J
7.6 7.7
0281 0412 0541 0669
7 8
7.9
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
3
1-79
8 0 8. 1
2.0794
8.2
8 3
8.4
8 5
8.6 8 7 8 8 8 9
9.0 9.1 9 2
9.3 9 4 9 5
9.6 9 7
9.8
In In In In In
10 10' 10' 10< I0>
-
2.3026 4.6052 6.9078 9.2103 11.5129
In 10"
-
In In In In In
-
13.8155 16.1181 18.4207 20.7233 23.0259
2.302585 X n
For negative exponents of 10. the logarithms are negative; In 10-"
-
10« 10' 10s 10' = 10" =
= -2.302585
Examples:
e.g., In 10 * = —6.9078,
X n
1. In 5.576 = 0.7185. 5.3237. 2. In 557.6 = In (5.576 X I0») = 0.7185 + 4.6052 7, etc. 0.7185 6.9078 = -6.1883 = 0.8117 3. In 0.005576 = In (5.576 X I0>) The general relations stated for common logarithms are applicable to natural logarithms.
-
-
In
c
-
,in .
-
Also,
1-80
GENERAL DATA Table 4.
Circular Functions
: cos
[Sec.
1
x and sin x
COS X 7
8
9
9988 9888 9689 9394 9004
9982 9872 9664 9359 8961
9976 9856 9638 9323 8916
9968 9838 9611 9287 8870
9960 9820 9582 9249 8823
8577 8021 7385 6675 5898
8525 7961 7317 6600 5817
8473 7900 7248 6524 5735
8419 7838 7179 6448 5653
8365 7776 7109 6372 5570
8309 7712 7038 6294 5487
5148 4267 3342 2385 1403
5062 4176 3248 2288 1304
4976 4085 3153 2190 1205
4889 3993 3058 2092 1106
4801 3902 2963 1994 1006
4713 3809 2867 1896 0907
4625 3717 2771 1798 0807
0508 0492 1487 2466 3421
0408 0592 1585 2563 3515
0308 0691 1684 2660 3609
0208 0791 1782 2756 3702
0108 0891 1881 2852 3795
OOOB 0990 1979 2948 3887
•0092 1090 2077 3043 3979
•0192 1189 2175 3138 4070
1
2
3
1 1 3 4
1. 0000 0.9950 9801 9553 9211
1. 0000 9940 9780 9523 9171
9998 9928 9759 9492 9131
9996 9916 9737 9460 9090
9992 9902 9713 9428 9048
5 6 7 B 9
8776 8253 7648 6967 6216
8727 8196 7584 6895 6137
8678 8139 7518 6822 6058
8628 8080 7452 6749 5978
1.0 1 2 3 4
5403 4536 3624 2675 1700
5319 4447 3530 2579 1601
5234 4357 3436 2482 1502
5 6 7 8 9
+ 0707
0608 0392 1388 2369 3327
0.0
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
6
0
X
-0292 -1288 -2272 -3233
4
5
-4161
1 2 3 4
-5048 -5885 -6663 -7374
4252 5135 5966 6737 7441
4342 5220 6046 6811 7508
4432 5305 6125 6883 7573
4522 5390 6204 6956 7638
4611 5474 6282 7027 7702
4699 5557 6359 7098 7766
4787 5640 6436 7168 7828
4875 5722 6512 7237 7890
4962 5804 6588 7306 7951
5 6 7 8 9
-8011
8071 8620 9083 9455 9733
8130 8670 9124 9487 9755
8187 8720 9165 9518 9777
8244 8768 9204 9549 9797
8301 8816 9243 9578 9817
8356 8863 9281 9606 9B36
8410 8908 9318 9633 9853
8464 8953 9353 9660 9870
8517 8998 9388 9685 9885
9914 9995 9977 9859 9642
9926 9998 9969 9841 9615
9938 9999 9961 9823 9587
9948 1. 0000 9952 9804 9558
9958 1.0000 9941 9784 9528
9967 9998 9930 9762 9497
9974 9996 9918 9740 9466
9981 9993 9904 9717 9433
9987 9988 9890 9693 9399
9329 8923 8428 7848 7190
9293 8877 8373 7786 7120
9255 8831 8318 7723 7050
9217 8783 8262 7659 6978
9178 8735 8206 7594 6907
9137 8686 8148 7529 6834
9096 8636 8090 7462 6761
9054 8585 8030 7395 6686
9011 8534 7970 7328 6612
6460 5666 4815 3916 2978
63B4 5583 4727 3824 2882
6306 5500 4639 3731 2787
6229 5416 4550 3638 2690
6150 5332 4461 3545 2594
6071 5247 4371 3451 2497
5991 5162 4281 3357 2400
5911 5076 4190 3263 2303
5830 4990 4099 3168 2206
1912 0923 •0076 1074 2061
1814 0823 •0176 1173 2159
1715 0723 •0276 1273 2257
1617 0623 •0376 1372 2354
1518 0524 •0476 1471 2451
1419 0424 •0576 1570 2548
1320 0324 •0676 1668 2644
1221 0224 •0775 1767 2741
3028
3123
3218
3312
3407
3500
3594
3687
2.0
-8569 -9041
-9422 -9710 -9900
3.0 1 2 3 4
-9991
5 6 7 8 9
-9365 -8968
4.0
-6536 -5748
-9983 -9875 -9668
-8481
-7910 -7259
1 2 3 4
-4903
-4008 -3073
5 6 7 8 9
-2108
+ 0875 1865
2010 1022 0024 0975 1963
5.0
2837
2932
- 1122 -0124
I
Iw
-
6.2832; 4*
-
12.5664; 6w
-
cos ( — x) *» COS X
+
18.8495; 8ir
-
25.1327;
I0x
-
31.4159.
mathematical
Sec. 1-2] Table 4.
0
2
: cos sin x
1-81
i and sin x.
3
4
5
6
{Continued)
7
8
9
2 3 «
0 0000 0998 1987 2955 3894
0100 1098 2085 3051 3986
0200 1197 2182 3146 4078
0300 1296 2280 3240 4169
0400 1395 2377 3335 4259
0500 1494 2474 3429 4350
0600 1593 2571 3523 4439
0699 1692 2667 3616 4529
0799 1790 2764 3709 4618
0899 1889 2860 3802 4706
7 g 9
4794 5646 6442 7174 7833
4882 5729 6518 7243 7895
4969 5810 6594 7311 7956
5055 5891 6669 7379 8016
5141 5972 6743 7446 8076
5227 6052 6816 7513 8134
5312 6131 6889 7578 8192
5396 6210 6961 7643 8249
5480 6288 7033 7707 8305
5564 6365 7104 7771 8360
8415 8912 9320 9636 9854
8468 8957 9356 9662 9871
8521 9001 9391 9687 9887
8573 9044 9425 9711 9901
8624 9086 9458 9735 9915
8674 9128 9490 9757 9927
8724 9168 9521 9779 9939
8772 9208 9551 9799 9949
8820 9246 9580 9819 9959
8866 9284 9608 9837 9967
9975 9996 9917 9738 9463
9982 9992 9903 9715 9430
9987 9988 9889 9691 9396
9992 9982 9874 9666 9362
9995 9976 9857 9640 9326
9998 9969 9840 9613 9290
9999 9960 9822 9585 9252
1. 0000 9951 9802 9556 9214
1. 0000 9940 9782 9526 9174
9998 9929 9761 9495 9134
9093 8632 8085 7457 6755
9051 8581 8026 7390 6681
9008 8529 7966 7322 6606
8964 8477 7905 7254 6530
8919 8423 7843 7185 6454
8874 8369 7781 7115 6378
8827 8314 7718 7044 6300
8780 8258 7654 6973 6222
8731 8201 7589 6901 6144
8682 8143 7523 6828 6065
5985 5155 4274 3350 2392
5904 5069 4183 3255 2295
5823 4983 4092 3161 2198
5742 4896 4001 3066 2100
5660 4808 3909 2970 2002
5577 4720 3817 2875 1904
5494 4632 3724 2779 1806
5410 4543 3631 2683 1708
5325 4454 3538 2586 1609
5240 4364 3444 2489 1510
1411 + 0416
1312 0316 0684 1676 2652
1213 0216 0783 1775 2748
1114 01 16 0883 1873 2844
1014 0016 0982 1971 2940
0915 •0084 1082 2069 3035
0815 *0 184 1181 2167 3131
0715 *0284 1281 2264 3225
0616 *0384 1380 2362 3320
0516 •0484 1479 2459 3414
-6119 -6878
3601 4515 5383 6197 6950
3694 4604 5467 6276 7021
3787 4692 5550 6353 7092
3880 4780 5633 6430 7162
3971 4868 5716 6506 7232
4063 4955 5797 6582 7301
4154 5042 5879 6657 7369
4245 5128 5959 6731 7436
4335 5213 6039 6805 7502
-8183 -8716 -9162 -9516
7633 8240 8764 9201 9546
7697 8296 8812 9240 9576
7761 8352 8859 9278 9604
7823 8406 8905 9315 9631
7885 8460 8950 9351 9658
7946 8513 8994 9386 9683
8007 8565 9037 9420 9708
8066 8616 9080 9453 9731
8125 8666 9121 9485 9754
-9775 -9937
9796 9948 1.0000 9952 9805
9816 9957 1. 0000 9942 9785
9834 9966 9998 9931 9764
9852 9974 9996 9919 9742
9868 9981 9993 9905 9719
9884 9986 9989 9891 9695
9899 9991 9983 9876 9670
9912 9995 9977 9860 9644
9925 9997 9970 9843 9617
-9589
9560
9531
9500
9468
9435
9402
9367
9332
9295
0 0
1.0 2 3 4 5 7 g 9
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
1
Circular Functions
tables
2 0 1 3
5 7 g 9 3.0 1 2 3 4 5 5 g 9
4.0 I 2 3
* s 6 7 g •
i.t
-0584
- 1577 - 2555 - 3508 -4425
- 5298
- 7568
- 9999 -9962 - 9825
■in
i - x - x'J; + I*t- - x> 77 +
' * '
em
=
-
sin
i
GENERAL DATA
1-82 Table
z
Circular Functions
0
1
4
+ 0.2837 3780 4685 5544 6347
2932 3872 4773 5627 6424
3028 3964 4861 5709 6500
5 6 7 S 9
7087 7756 8347 8855 9275
7157 7818 8402 8901 9312
6.0 1 2 3 4
9602 9833 9965 9999 9932
5 6 7 8 9
7.0
5.0 1 2
i
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
4.
1 2
J
4 5 6 7 8 9
6
7
3123 4056 4948 5791 6576
3218 4147 5035 5872 6651
3312 4238 5121 5953 6725
3407 4328 5206 6033 6799
3500 4418 5292 6112 6872
3594 4508 5376 6191 6944
3687 4597 5460 6269 7016
7226 7880 8456 8946 9348
7295 7942 8509 8991 9383
7363 8002 8561 9034 9417
7430 8061 8612 9076 9450
7497 8120 8662 9118 9482
7563 8178 8712 9158 9514
7628 8235 8761 9198 9544
7692 8292 8808 9237 9573
9629 9850 9973 9996 9920
9656 9867 9980 9993 9907
9681 9883 9986 9989 9892
9706 9898 9991 9984 9877
9729 9911 9994 9978 9861
9752 9924 9997 9971 9844
9774 9936 9999 9962 9826
9794 9947 1.0000 9953 9807
9814 9957 1.0000 9943 9787
9766 9502 9144 8694 8157
9744 9471 9103 8644 8099
9721 9438 9061 8593 8040
9697 9405 9018 8542 7980
9672 9370 8975 8489 7919
9646 9335 8930 8436 7858
9619 9298 8885 8382 7796
9591 9261 8838 8327 7733
9563 9223 8791 8271 7669
9533 9184 8743 8215 7604
7539 6845 6084 5261 4385
7473 6772 6004 5175 4295
7406 6698 5924 5090 4205
7339 6624 5843 5003 4114
7270 6548 5761 4916 4023
7201 6473 5679 4829 3931
7132 6396 5597 4741 3839
7061 6319 5514 4653 3746
6990 6241 5430 4564 3653
6918 6163 5346 4475 3560
3466 2513 1534 0540
3372 2416 1435 0440 0560
3278 2319 1336 0340 0660
3183 2221 1237 0240 0759
3088 2124 1137 0140 0859
2993 2026 1038 0040 0959
2898 1928 0938 •0060 1058
2802 1829 0839 *0160 1158
2706 1731 0739 *0260 1257
2609 1632 0639 •0360 1356
1554 2532 3485 4404 5278
1653 2629 3579 4493 5363
1751 2725 3672 4582 5447
1849 2821 3765 4671 5530
1948 2917 3857 4759 5614
2046 3013 3950 4847 5696
2143 3108 4041 4934 5778
2241 3203 4132 5021 5859
2338 3297 4223 5107 5940
6100 6860 7552 8169 8704
6179 6933 7618 8226 8753
6257 7004 7682 8283 8801
6335 7075 7746 8338 8848
6412 7146 7808 8393 8894
6488 7215 7871 8447 8939
6564 7284 7932 8500 8984
6639 7352 7992 8552 9027
6713 7420 8052 8604 9070
9192 9539 9791 9945 1.0000
9231 9569 9811 9955 1.0000
9269 9597 9830 9964 9999
9306 9625 9848 9972 9997
9342 9652 9865 9979 9994
9377 9677 9880 9985 9990
9412 9702 9895 9990 9985
9445 9726 9909 9994 9979
- 1455 2435 - 3392
1 2 3 4
-4314 -5193 -6020
- 6787
5 6 7 8
(Continued)
5
-
8.0
-7486 -8111 -8654
3
and sin x,
1
4
-0460
2
: cos x COS X
[SEC.
8
9
9 0 1 2 i 4
-9111 -9477 -9922 -9997
9152 9509 9770 9934 9999
S 6 7 8 9
-9972 -9847 -9624 -9304 -8892
9964 9829 9596 9267 8846
9955 9810 9567 9229 8799
9945 9790 9538 9190 8751
9934 9769 9507 9150 8702
9922 9747 9476 9109 8652
9909 9725 9443 9068 8602
9895 9701 9410 9025 8550
9880 9676 9376 8982 8498
9864 9650 9340 8937 8445
10 0
-8391
8336
8280
8224
8166
8108
8049
7990
7929
7868
- 9748
i
For > 10. subtract any multiple of 2» (6.28318) the table. Example: cos 20 coa (20 far) = coa 1.15105
-
-
-
that will bring the argument 0.4080.
within the range of
Sec. 1-2] Table 4.
z
0
5 0
-
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
6 0
7 0
8.0
i> 0
10 0
For z
table.
tables
mathematical Circular Functions
: cos x sin x
1-83
and sin x.
1
2
3
4
0 . 9589 9258 8835 8323 7728
-
--
9560 9220 8787 8267 7664
9531 9181 8739 8210 7599
9500 9141 8690 8153 7534
9468 9100 8640 8094 7468
9435 9058 8589 8035 7401
— 7055 — 6313 — 5507 4646 — 3739
-
6984 6235 5423 4557 3646
6912 6156 5339 4468 3553
6840 6077 5254 4378 3459
6766 5997 5169 4288 3365
— 2794 — 1822 — 0831 + 0168 1165
2698 1723 0731 0268 1265
2602 1625 0631 0368 1364
2505 1526 0532 0468 1463
2151 3115 4048 4941 5784
2249 3210 4140 5028 5866
2346 3305 4231 51 14 5946
6570 7290 7937 8504 8987
6645 7358 7997 8557 9030
9380 9679 9882 9985 9989
5
(Continued)
6
7
8
9402 9015 8538 7975 7333
9367 8971 8485 7915 7265
9332 8926 8432 7853 7196
9295 8881 8378 7791 7126
6692 5917 5083 4198 3271
6618 5836 4996 4107 3176
6542 5755 4910 4015 3081
6467 5673 4822 3924 2986
6390 5590 4734 3831 2890
2408 1427 0432 0568 1562
2311 1328 0332 0668 1660
2213 1229 0232 0767 1759
2116 1129 0132 0867 1857
2018 1030 0032 0967 1955
1920 0931 •0068 1066 2053
2443 3399 4321 5200 6026
2540 3493 4411 5285 6106
2637 3586 4500 5369 6185
2733 3680 4590 5454 6263
2829 3772 4678 5537 6341
2925 3865 4766 5620 6418
3020 3957 4854 5703 6494
6719 7425 8057 8608 9073
6793 7492 81 16 8658 9115
6866 7558 8174 8708 9155
6938 7623 8231 8757 9195
7010 7687 8287 8805 9234
7081 7751 8343 8851 9272
7151 7813 8397 8898 9309
7221 7875 8451 8943 9345
9414 9704 9897 9990 9984
9447 9728 9910 9994 9978
9480 9750 9923 9997 9971
9511 9772 9935 9999 9963
9542 9793 9946 1. 0000 9954
9571 9812 9956 1.0000 9944
9599 9831 9965 9999 9933
9627 9849 9973 9997 9921
9654 9866 9980 9994 9908
9894 9699 9407 9022 8546
9879 9674 9373 8978 8494
9863 9648 9338 8934 8440
9845 9621 9301 8888 8386
9827 9594 9264 8842 8331
9808 9565 9226 8795 8276
9789 9535 9187 8747 8219
9768 9505 9147 8698 8162
9746 9473 9106 8648 8104
9723 9441 9064 8597 8045
7985 7344 6630 5849 5010
7924 7276 6554 5768 4923
7863 7207 6479 5686 4836
7801 7137 6402 5603 4748
7738 7067 6325 5520 4660
7674 6996 6247 5436 4571
7610 6924 6169 5352 4482
7544 6851 6090 5268 4393
7478 6778 6010 5182 4303
741 1 6704 5930 5097 4212
4121 3191 2229 1245 + 0248
4030 3096 2131 1145 0148
3938 3001 2033 1046 0048
3846 2905 1935 0946 •0052
3754 2809 1837 0847 ♦0152
3661 2713 1739 0747 •0252
3567 2617 1640 0647 •0352
3474 2520 1542 0548 •0452
3380 2423 1443 0448 •0552
3286 2326 1344 0348 •0652
-0752 -1743 -2718 -3665 -4575
0851 1842 2814 3758 4664
0951 1940 2910 3850 4752
1050 2038 3005 3942 4840
1150 2136 3100 4034 4927
1249 2233 3195 4125 5014
1348 2331 3290 4216 5100
1447 2428 3384 4307 5186
- 5440
1546 2525 3478 4397 5271
1645 2621 3572 4486 5356
5524
5607
5689
5771
5853
5934
6014
6093
6172
> 10. subtract any multiple of 2r (6.283 18) that will bring the argument
Sec example for cosine.
9
within the range of the
GENERAL DATA
1-84 Table 5.
0.0
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
'
0
X
2
| 2 3 4
0.0000 1003 2027 3093 4228
0100 1104 2131 3203 4346
5 6 7 8 9
5463 6841 8423 1.030 1.260
1.0 1 2 3 4
1.557 1.965 2.572 3.602
5 6 7 8 9
+ 14.10
2.0
-2.185 -1.710
1 2 3 4 5 6 7 8 9
3.0
- 1. 119
-0.9160 -7470
-6016 -4727 -3555
-2464
- 1425
5
6
7
8
9 ~
0400 1409 2447 3537 4708
0500 1511 2553 3650 4831
0601 1614 2660 3764 4954
0701 1717 2768 3879 5080
0802 1820 2876 3994 5206
~~0902 1923 2984 4111 5334
5594 6989 8595 1.050 1.286
5726 7139 8771 1.072 1.313
5859 7291 8949 1.093 1.341
5994 7445 9131 1. 116 1.369
6131 7602 9316 1.138 1.398
6269 7761 9505 1.162 1.428
6410 7923 9697 1. 185 1.459
6552 8087 9893 1.210 1.491
6696 8253 1.092 1.235 1.524
1.592 2.014
1.628 2.066 2.733 3.903 6.581
1.665 2. 120 2.820
1.704 2. 176 2.912
1.784 2.296 3. 113
1.827 2.360 3.224
4.072
4.256
1.743 2 234 3.010 4.455
7.055
7.602
8.238
4.673 8.989
4.913 9.887
1.871 2.427 3.341 5.177 10.98
1.917 2.498 3.467 5.471 12.35
1256 10.05
•108.6
4.953 3.242 2.370
4.710 3.130 2.306
•52.07 8.349 4.489 3.026 2.244
3.747
- 1. 374
4
tan x
0300 1307 2341 3425 4586
6.165
-34.23 -7.697 -4.286 -2.927
3
:
1
1206 2236 3314 4466
2.650
5.798
0200-
Circular Functions
[Sec.
16.43 25.49 7.137 4. 100 2.834
19.67 20.31
24.50 16.87
32.46
48.08
92.62
6.228
3.929 2.746
3.771 2.663
5.854 3.624
12.60 5.520
18
6.652
14.43
3.488
2.584
2.509
3.361 2.438
2.129 1.671 1.345 1.097 8978
2.074 1.634 1.318 1.075 8799
2.022 1.598 1.291 1.054 8623
1.973 1.563 1.264 1.033 8450
1.925 1.529 1.239 1.013 8280
1.878 1.496 1.214 •9924 8113
1.834 1.464 1.189 •9728 7948
1.791 1.433 1.165 •9535 7787
1.750 1.403 1.142 •9346 7627
7316 5881 4606 3443 2358
7163 5747 4485 3332 2253
7013 5615 4365 3221 2148
6865 5484 4247 3111 2044
6719 5354 4129 3001 1940
6574 5226 4013 2893 1836
6432 5100 3897 2785 1733
6292 4974 3782 2677 1630
6153 4850 3668 2570 1528
1222 0216 0786 1803 2858
1121 0116 0886 1907 2967
1019 0016 0987 2011 3076
0918 •0084 1088 2115 3186
0818 •0184 1190 2219 3296
0717 •0284 1291 2325 3407
0617 •0384 1393 2430 3519
0516 •0484 1495 2536 3632
II.
5.222
9.121
1 2 3 4
+ 0585 1597 2643
1324 0316 0685 1700 2750
5 6 7 8 9
3746 4935 6247 7736 9474
3860 5060 6387 7897 9666
3976 5186 6529 8060 9861
4092 5313 6673 8227 1 006
4209 5442 6818 8396 1.026
4327 5573 6966 8568 1.047
4447 5704 7115 8743 1 068
4567 5838 7267 8921 1.090
4688 5973 7421 9102 1.112
4811 6109 7577 9286 1. 135
4.0
1.158 1.424 1.778 2.286 3.096
1. 182 1.454 1.820
1.206 1.486 1.864 2.416 3.322
1.231 1.518 1.910 2.486 3.447
1.256 1.552 1.957 2.560
1.282 1.587
1.309 1.622 2.058 2.719
1.365 1.697 2.167
3.580
1.336 1.659 2. 2.806
1.394 1.737 2.225 2.994
5. 134 10.79
5.422
5.743
•131.4 9.257
•56.78 8.463 4.523
1 2 3 4
-0416
4.637 8.860
5 6 7 8 9
+ 80.71
5.0
-3.381
-11.38 -5.267
2.350 3.206 4.873 9.733 418.6 10.21
4.994 3.260 2j->
4.747 3. 148
12.
II
3.042
\7x>
TTT cot x
*
tan x
-
— tan (x ± 1.S708)
13.79 •36.21 7.794 4.317 2.942
2.006 2.638 3.723
3.878
6. 104 16.01
6.511 19.07
•26.58 4.129
•20.99 6.725 3.956
2.849
2.760
7.221
"JO tan ( — x) — — tan x
Ill
2.897 4.225
4.422
6.975 23.58 •17.34 6.292 3.796
7.509 30.86 •14.77
44.66 •12.86
5.910 3.647
5.571 3.509
2 676
2 597
2.521
4.044
r' 1
2x» 945
-r
8.130
-■■•)
cot ( — x) — — cot x
For x > 10, subtract a multiple of w to bring argument within range of table.
mathematical tables
Sec. 1-2] Table
tan x.
:
(Continued)
--
0
1
2
3
4
5
6
7
8
9
5 0 1
— 3.381
3.260
3.148
3.042
2.942
2.849
886 - 1.1.501
-1.218
2.316 1.798 1.438 1. 169
2.254 1.756 1.408 1. 146
2.194 1.716 1.378 1.123
2. 137 1.677 1.350 1.100
2.760 2.083 1.640 1.322 1.079
2.676
2.381 1.841 1.469 1.193
2.031 1.604 1.295 1.057
2.597 1.980 1.568 1.268 1 036
2.521 1.932 1.534 1.243 1.016
-0.9956 -8139 -6597 -5247 -4031
9759 7975 6455 5120 3915
9565 7812 6314 4994 3800
9376 7652 6175 4870 3686
9189 7495 6038 4747 3573
9007 7340 5902 4625 3461
8827 7187 5768 4504 3349
8651 7037 5635 4384 3238
8477 6888 5504 4266 3128
8307 6742 5375 4148 3019
-2910 -1853 -0834 1173
2802 1749 0733 0266 1275
2694 1646 0633 0368 1377
2587 1544 0532 0468 1479
2481 1442 0432 0569 1581
2375 1340 0332 0669 1684
2270 1238 0232 0770 1787
2165 1137 0132 0870 1890
2060 1036 003 2 0971 1994
1956 093 5 •0068 1072 2098
2203 3279 4428 5683 7091
2308 3390 4548 5816 7242
2413 3502 4669 5951 7396
2520 3614 4791 6087 7552
2626 3728 4915 6225 7710
2733 3842 5040 6365 7871
2841 3957 5166 6506 8034
2949 4073 5293 6650 8200
3058 4190 5422 6795 8369
3168 4308 5552 6942 8540
8714 1.065 1.305 1.617
8892 1.086 1.332 1.653 2. 102
9073 1.109 1.360 1.691 2.158
9257 1.131 1.389 1.731 2.216
9444 1.154 1.419 1.771 2.276
9635 1.178 1.449 1.813 2.339
9830 1.202 1.461 1.857 2.405
1.003 1.227 1.513 1.902 2.475
1.023 1.252 1.547 1.949 2.548
1.044 1.278 1.581 1.998 2.625
2.706 3.852
2.792 4.017 6.897 22.72
2.978
3.080
3. 188
4.390 8.024 41.69
3.303 5.090 10.61
3.558 5.690
3.700
71.52
4.834 9.582 251.2
3.426
4 602 8.735
17.83
2.882 4. 196 7.419 29.42 15.13
13.13
11.60
10.38
6.357 3.820
5.968
5.622
3.670
3.530
2.689 2.039 1.609
2.609 1.988 1.574
2.533 1.940 1.540
5.314 3 400 2.461 1.893 1.506
1.299 1.061 8679 7061 5656
1.273 1.040 8505 6912 5525
1.247 1.019 8334 6765 5395
4403 3 256 2181 1153 0148
4284 3146 2077 1052 0048
9
1770 2824 3939 5146
0854 1874 2932 4055 5273
0.0
6484
6627
6.0
--2.449
+ 0168
; Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Circular Functions
6.
1-85
o
2.049
r' ft 0 i 2 3 4 5 0 7 8 » 9 0 1 2 3 4 5 6 7
8
6.443 + 18.51 -21 72
-6.800 -3.982 -2.774 -2.091
-
1. 646
-
1.326
-1.082 -0.8856 -7211
-5789 -4523 -3367 -2286
-
1254
-0248
+ 0754
For rapidly changing
Example: Un 4.705 =
6.043 15.61 ♦27.75
8.581
13.49 •38.43 7.893
4.557
4.349
3.058
4.158
2.263 1.763 1.413
2.958 2.204 1.722 1.383
2.863 2.146 1.683 1.354
•62.42
7.307
2.392 1.848 1.474
4.785 3. 165 2.326 1.805 1.443
1.222 •9988 8166 6620 5267
1.197 •9790 8001 6477 5140
1.173 •9596 7838 6336 5014
1. 149 •9406 7678 6197 4890
1. 126 •9219 7520 6059 4766
1.104 •9036 7365 5924 4644
4167 3036 1973 0951 *0052
4050 2927 1869 0850 •0152
3934 2819 1766 0749 •0252
3819 2711 1663 0649 •0352
3705 2604 1560 0548 •0453
3591 2498 1458 0448 •0553
3479 2392 1356 0348 •0653
0955 1977 3041 4172 5401
1056 2082 3151 4290 5531
1157 2186 3261 4409 5662
1259 2291 3372 4529 5795
1361 2397 3484 4650 5930
1463 2503 3596 4772 6066
1565 2609 3710 4895 6203
1667 2716 3824 5020 6342
6771
6918
7067
7218
7371
7527
7685
7845
values
-
•166.2 9.397
5.374 11.86
5.036
3.279
of tan x (when x approaches an odd multiple of I tan x tan (r ± 1.5708) I I 135.
-
t/2),
-
-„_„„„ ta^6T758 For rapidly changing values of cot x (when x approaches
a multiple of
t),
use cot x —
l/tan
x.
1-86
GENERAL DATA Table
X
Exponential Functions
6.
1
2
3
4
5
6
7
8
9
1 2 3 4
1 000 1.105 1.221 1.350 1.492
1.010 1. 116 1.234 1.363 1.507
1.020 I. 127 1.246 1.377 1.522
1.030 1.139 1.259 1.391 1.537
1.041 1.150 1.271 1.405 1.553
1.051 1. 162 1.284 1.419 1.568
1.062 1.174 1.297 1.433 1.584
1.073 1.185 1.310 1.448 1.600
1.083 1. 197 1.323 1.462 1.616
1.094 1.209 1.336 1.477 1.632
5 6 7 8 9
1.649 1.822 2.014 2.226 2.460
1.665 1.840 2.034
1.699 1.878 2.075 2.293
1.716 1.896
1.733 1.916 2.117 2.340 2.586
1.751 1.935
2.248 2.484
1.682 1.859 2.054 2.270 2.509
1.768 1.954 2. 160 2.387
1.786 1.974 2.181 2.411
1.804 1.994 2.203 2.435 2.691
1.0 1 2 3 4
2.718 3.004 3.320 3.669 4.055
2.746 3.034
2.773 3.065
3.353 3.706
3.387 3.743 4. 137
4 482 4.953 5.474
4.527
6.050 6.686
1 2 3 4
7.389 8. 166 9.025 9.974 11.02
5 6 7 8 9
3.0
5 6 7 8 9
2.0
1 2 3 4
2.535
2.560
2.829 3.127 3.456
2.801 3.096 3.421 3.781 4.179
2.858 3.158
3.819 4.221
2.138 2.363 2.612 2.886
2.638 2.915
2.664
3.190
3.222
2.945
3.490 3.857
3.525
4.263
3.896
3.561 3.935
4.306
4.349
4.393
2.974 3.287 3.633 4.015 4.437
4.711 5.207
4.759 5.259
5.755 6.360
5.812 6.424 7.099
4.807 5.312
4.855 5.366
4.904 5.419
5.871
5.930
5.989
6.488
6.554
7.171
7.243
6.619 7.316
7.846
7.925
8.758
8.004 8.846
9.679 10.70 11.82
9.777 10.80 11.94
8.085 8.935 9.875 10.9! 12.06
3.254 3.597 3.975
4.572 5.053 5.585
4.618
6.110 6.753
6.172
6.234 6.890
6.297 6.959
7.463 8.248
7.538 8.331
7.614
7.691
8.415
9.116
9.207
9.300
8.499
10.18 11.25
10.28 11.36
9.393 10.38 11.47
9.488
10.07 11.13
10.49 11.59
8.671 9.583 10.59 11.70
12.18 13.46 14.88 16.44 18.17
12.30 13.60 15.03 16.61 18.36
12.43 13.74 15.18 16.78 18.54
12.55 13.87 15.33 16.95 18.73
12.68 14.01 15.49 17.12 18.92
12.81 14. 15 15.64 17.29 19.11
12.94 14.30 15.80 17.46 19.30
13.07 14.44 15.96 17.64 19.49
13.20 14.59 16.12 17.81 19.69
13.33 14.73 16.28 17.99 19.89
20.09 22.20 24.53 27.11 29.96
20.29 22.42
20.49 22.65 25.03
20.70 22.87 25.28 27.94
20.91 23. 10 25.53 28.22 31. 19
21. 12 23.34 25.79 28.50
21.33 23.57 26.05 28.79
21.54 23.81 26.31 29.08
21.76
21.98
24 05 26.58 29.37
24.29 26.84 29.67
32.46
32.79
35.87 39.65 43.82 48.42 53.52
36.23
59. 15
59.74
65.37 72.24 79.84
66.02
5 6 7 8 9
33.12 36.60 40.45
4.0
54.60 60.34
1 2 3 4
4.096
2.096 2.316
1
: e*
0
0.0
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
[Sec.
44.70 49.40
66.69 73.70 81.45
5 6 7 8 9
90.02 99.48
5.0
148.4
109.9 121 5 134.3
5.003 5.529
24.78
6.821
27.39 30.27
27.66 30.57
30.88
33.45 36.97
33.78
34.12
37.34 41.26 45.60 50.40
37.71
55.70 61.56 68.03
56.26
62.18 68.72
82.27
75. 19 83.10
75.94 83.93
90.92
91.84
92.76
100.5
Mil
122.7 135 6
101.5 112.2 124.0 137.0
102.5 113.3 125.2 138.4
149.9
151.4
152.9
40.85 45.15 49.90 55.15
60.95 67.36 74.44
4.665 5.155 5.697
5. 104 5.641
41.68 46.06 50.91
I
<*-|+7l
For very small values of x, e* « I + x. Larce values of x: Method I. e* («*/■)«, e.g., e" («•«)*
-
-
7.029 7.768 8.585
31.50
31.82
32.14
34.47 38.09 42.10 46.53 51.42
34.81
35.16 38.86 42.95
35.52
47.47 52.46
47.94
56.83 62.80
57.40 63.43
57.97 64.07
69.41 76.71
58.56 64.72
70.
84.77
77.48
70.81 78.26
85.63
86.49
71.52 79.04
87.36
93.69
94.63
95.58
103.5 114.4 126.5 139.8
104.6 115.6 127.7 141.2
105.6 116.7 129 0 142.6
154.5
156.0
157.6
+
I»
38.47 42.52 46.99 51.94
I"
2i+3i
518.0*
-
II
39.25
43.38 52.98
88.23
72 97 80.64 89. 12
96 54 106.7 117.9 130.3 144.0
97.51 107.8 119. 1 131.6 145.5
98 49 108.9 120.3 133 0 146.9
159.2
160.8
162.4
+
7.200 X
I0">.
40 04 44. 2>'. 48.91 54.05
{Continued
on p. 88)
mathematical tables
Sec. 1-2] Table 6.
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
X
0
1
Functions:
Exponential 2
4
3
e~*.
5
1-87 (Continued) 6
7
8
9
0 0 1 2 3 4
1. 0000 0.9048 8187 7408 6703
•9900 8958 8106 7334 6637
•9802 8869 8025 7261 6570
•9704 8781 7945 7189 6505
•9608 8694 7866 7118 6440
•9512 8607 7788 7047 6376
•9418 8521 7711 6977 6313
•9324 8437 7634 6907 6250
•9231 83 53 7558 6839 6188
•9139 8270 7483 6771 6126
5 6 7 8 9
6065 5488 4966 4493 4066
6005 5434 4916 4449 4025
5945 5379 4868 4404 3985
5886 5326 4819 4360 3946
5827 5273 4771 4317 3906
5769 5220 4724 4274 3867
5712 5169 4677 4232 3829
5655 5117 4630 4190 3791
5599 5066 4584 4148 3753
5543 5016 4538 4107 3716
1.0 1 2 3 4
3679 3329 3012 2725 2466
3642 3296 2982 2698 2441
3606 3263 2952 2671 2417
3570 3230 2923 2645 2393
3535 3198 2894 2618 2369
3499 3166 2865 2592 2346
3465 3135 2837 2567 2322
3430 3104 2808 2541 2299
3396 3073 2780 2516 2276
3362 3042 2753 2491 2254
5 6 7 8 9
2231 2019 1827 1653 1496
2209 1999 1809 1637 1481
2187 1979 1791 1620 1466
2165 1959 1773 1604 1451
2144 1940 1755 1588 1437
2122 1920 1738 1572 1423
2101 1901 1720 1557 1409
2080 1882 1703 1541 1395
2060 1864 1686 1526 1381
2039 1845 1670 1511 1367
2 0 1 2 3 4
1353 1225 1108 1003 0.09072
1340 1212 1097 •9926 8982
1327 1200 1086 •9827 8892
1313 1188 1075 •9730 8804
1300 1177 1065 •9633 8716
1287 1165 1054 •9537 8629
1275 1153 1044 •9442 8543
1262 1142 1033 •9348 8458
1249 1130 1023 •9255 8374
1237 1119 1013 ♦9163 8291
5 6 7 8 9
8208 7427 6721 6081 5502
8127 7353 6654 6020 5448
8046 7280 6587 5961 5393
7966 7208 6522 5901 5340
7887 7136 6457 5843 5287
7808 7065 6393 5784 5234
7730 6995 6329 5727 5182
7654 6925 6266 5670 5130
7577 6856 6204 5613 5079
7502 6788 6142 5558 5029
1 2 3 4
4979 4505 4076 3688 3337
4929 4460 4036 3652 3304
4880 4416 3996 3615 3271
483 2 4372 3956 3579 3239
4783 4328 3916 3544 3206
4736 4285 3877 3508 3175
4689 4243 3839 3474 3143
4642 4200 3801 3439 3112
4596 4159 3763 3405 3081
4550 4117 3725 3371 3050
5 6 7 8 »
3020 2732 2472 2237 2024
2990 2705 2448 2215 2004
2960 2678 2423 2193 1984
2930 2652 2399 2171 1964
2901 2625 2375 2149 1945
2872 2599 2352 2128 1925
2844 2573 2328 2107 1906
2816 2548 2305 2086 1887
2788 2522 2282 2065 1869
2760 2497 2260 2045 1850
4.0
1832 1657 1500 1357 1228
1813 1641 1485 1343 1216
1795 1624 1470 1330 1203
1777 1608 1455 1317 1191
1760 1592 1441 1304 1180
1742 1576 1426 1291 1168
1725 1561 1412 1278 1156
1708 1545 1398 1265 1145
1691 1530 1384 1253 1133
1674 1515 1370 1240 1122
1067 •9658 8739 7907 7155
1057 •9562 8652 7828 7083
1046 •9466 8566 7750 7013
1036 •9372 8480 7673 6943
1025 •9279 8396 7597 6874
1015 •9187 8312 7521 6B06
6474
6409
6346
6282
6220
6158
3.0
1 2 3 4
llll
5 6 7 8 9
1005 0.009095 8230 7447
1100 •9952 9005 8148 7372
1089 •9853 8067 7299
1078 •9755 8826 7987 7227
5 0
6738
6671
6605
6539
89IS
-
-
I
+
+
I! 2! 3! For very small values of i. e * * I i. Large values of x: The formulas for e* apply; alio e~* = l/e*. Method I. «-» 1.39 X 10". («-•»)« = (0.001930)' (Continued
-
-
on ,,. SB)
GENERAL DATA
1-88 Table 0
X
Exponential Functions
1
2
3
: e*.
1
(Continued)
4
5
6
7
8
9
1 2 3 4
148.4 164.0 181.3 200.3 221.4
149.9 165.7 183. 1 202.4 223.6
151.4 167.3 184.9 204.4 225.9
152.9 169.0 186.8 206.4 , 228. 1
154.5 170.7 188.7 208 5 230.4
156.0 172.4 190.6 210.6 232.8
157.6 174.2 192.5 212.7 235. 1
159. 2 175.9 194.4 214.9 237.5
160.8 177.7 196.4 217.0 239.8
162. 4 179.5 198.3 219. 2 242.3
5 6 7 8 9
244.7 270.4 298.9 330.3 365.0
247.2 273. 1 301.9 333.6 368.7
249.6 275.9 304.9 337.0 372.4
252. 1 278.7 308.0 340.4 376.2
254.7 281.5 311. 1 343.8 379.9
257.2 284.3 314.2 347.2 383.8
259.8 287. 1 317.3 350.7 387.6
262.4 290.0 320.5 354.2 391.5
265. 1 292.9
323.8
267. 7 295 . 9 327 0
357.8 395.4
361.4
432.7 478.2 528.5 584. 1 645.5
437.0 483.0 533.8 589.9 652.0
441.4 487.8 539. 2 595.9 658.5
5.0
399 4
1 2 3 4
403.4 445.9 492.7 544.6 601.8
407.5 450.3 497.7 550.0 607.9
411.6 454.9 502.7 555.6 614.0
415. 7 459.4 507.8 561.2 620.2
419.9 464. 1 512.9 566.8 626.4
424. 1 468. 7 518.0 572.5 632.7
428. 4 473.4 523.2 578.2 639. 1
5 6 7 1 9
665. 1 735. 1 812.4 897.8 992.3
671.8 742.5 820.6 906.9 1002
678.6 749.9 828.8 916.0 1012
685.4 757.5 837. 1 925.2 1022
692.3 765. 1 845.6 934.5 1033
699.2 772.8 854. 1 943.9 1043
706.3 780.6 862.6 953.4 1054
713.4 788.4 871.3 962.9 1064
720.5 796.3 880. 1 972.6 1075
727.8 804.3 888. 9 982.4 1086
7.0
4
1097 1212 1339 1480 1636
1108 1224 1353 1495 1652
1119 1236 1366 1510 1669
1130 1249 1380 1525 1686
1141 1261 1394 1541 1703
1153 1274 1408 1556 1720
1164 1287 1422 1572 1737
1176 1300 1437 1588 1755
1188 1313 1451 1604 1772
1200 1326 1466 1620 1790
5 6 7 S 9
1808 1998 220S 2441 2697
1826 2018 2231 2465 2724
1845 2039 2253 2490 2752
1863 2059 2276 2515 2779
1882 2080 229B 2540 2807
1901 2101 2322 2566 2836
1920 2122 2345 2592 2864
1939 2143 2368 2618 2893
1959 2165 2392 2644 2922
1978 2186 2416 2670 2951
8.0
2981 3294 3641 4024 4447
3011 3328 3678 4064 4492
3041 3361 3715 4105 4537
3072 3395 3752 4146 4583
3103 3429 3790 4188 4629
3134 3463 3828 4230 4675
3165 3498 3866 4273 4722
3197 3533 3905 4316 4770
3229 3569 3944 4359 4817
3262 3605 3984 4403 4866
4915 5432 6003 6634 7332
4964 5486 6063 6701 7406
5014 5541 6124 6768 7480
5064 5597 6186 6836 7555
5115 5653 6248 6905 7631
5167 5710 631 1 6974 7708
5219 5768 6374 7044 7785
5271 5B25 6438 7115 7864
5324 5884 6503 7187 7943
5378 5943 6568 7259 8022
8103 8955 9897 I0« X 1.094 I0< X 1.209
8185 9045 9997 1. 105 1.221
8267 9136 * 1. 0 10 1. 116 1.233
8350 9228 •1.020 1. 127 1.246
8434 9321 •1.030 1. 138 1.258
8519 9414 •1.040 1. 150 1.271
1.336 1.476 1.632 1.803 1.993
1.349 1.491 1.648 1.821 2.013
1.363 1.506 1.665 1.840 2.033
1.377 1.521 1.681 1.858 2.054
1.390 1.537 1.698 1.877 2.074
1.404 1.552 1.715 1.896 2.095
1.419 1.568 1.733 1.915 2. 116
1.433 1.584 1.750 1.934 2. 138
1.447 1.599 1.768 1.954 2. 159
1.462 1.616 1.785 1.973 2. 181
10' X 2. 203
2. 225
2. 247
2. 270
2.293
2.316
2.339
2.362
2.386
2.410
6.0
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
6.
[SEC.
1 2
J
1 3 4
, 5 7 g 9
9.0 2 3 4
j (, 7
10.0
I0< I0< 10* I0« I0«
X X X X
X
Method 2. Method 3. Method 4.
-
f
f,
-
e.g., e» «•*•»*• X t* X By natural logarithm., e.g.. In By common luiiarithma, e.g., log
7.202 X 10". X e10 X e> = (2.203 X I0«)» X 148.4 = 25 =■23.0259 + 1.9741 e» = 7.200 X 10".
= 25 log a = 25 X 0.4343 = 10.8575
e"
-
7.205 X 10"
mathematical tables
Sec. 1-2] Table
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
s
1
0
Exponential Functions
6.
: e~*.
1-S9 (Continued)
2
3
4
5
6
7
8
9
5.0
0.006738
1 2 3 4
6097 5517 4992 4517
6671 6036 5462 4942 4472
6605 5976 5407 4893 4427
6539 5917 5354 4844 4383
6474 5858 5300 4796 4339
6409 5799 5248 4748 4296
6346 5742 5195 4701 4254
6282 5685 5144 4654 4211
6220 5628 5092 4608 4169
6158 5572 5042 4562 4128
5 6 7 8 9
4087 3698 3346 3028 2739
4046 3661 3313 2997 2712
4006 3625 3280 2968 2685
3966 3589 3247 2938 2658
3927 3553 3215 2909 2632
3887 3518 3183 2880 2606
3849 3483 3151 2851 2580
3810 3448 3120 2823 2554
3773 3414 3089 2795 2529
3735 3380 3058 2767 2504
6.0 1 2 3 4
2479 2243 2029 1836 1662
2454 2221 2009 1818 1645
2430 2198 1989 1800 1629
2405 2177 1969 1782 1612
2382 2155 1950 1764 1596
2358 2133 1930 1747 1581
2334 2112 1911 1729 1565
2311 2091 1892 1712 1549
2288 2070 1873 1695 1534
2265 2050 1855 1678 1519
5 6 7 8 9
1503 1360 1231 1114 1008
1488 1347 1219 1103 •9978
1474 1333 1207 1092 •9878
1459 1320 1195 1081 *9780
1444 1307 1183 1070 •9683
1430 1294 1171 1059 •9586
1416 1281 1159 1049 •9491
1402 1268 1148 1038 •9397
1388 1256 1136 1028 •9303
1374 1243 1125 1018 •9210
7.0 0.0009119 1 2 3 4
8251 7466 6755 6113
9028 8169 7392 6688 6052
893 8 8088 7318 6622 5991
8849 8007 7245 6556 5932
8761 7928 7173 6491 5873
8674 7849 7102 6426 5814
8588 7771 7031 6362 5757
8502 7693 6961 6299 5699
8418 7617 6892 6236 5643
8334 7541 6823 6174 5586
5 6 7 8 9
5531 5005 4528 4097 3707
5476 4955 4483 4057 3671
5421 4905 4439 4016 3634
5367 4857 4394 3976 3598
5314 4808 4351 3937 3562
5261 4760 4307 3898 3527
5209 4713 4265 3859 3492
5157* 4666 4222 3820 3457
5106 4620 4180 3782 3422
5055 4574 4139 3745 3388
1 2 3 4
3355 3035 2747 2485 2249
3321 3005 2719 2460 2226
3288 2975 2692 2436 2204
3255 2946 2665 2412 2182
3223 2916 2639 2388 2161
3191 2887 2613 2364 2139
3159 2859 2587 2340 2118
3128 2830 2561 2317 2097
3097 2802 2535 2294 2076
3066 2774 2510 2271 2055
5 6 7 8 9
2035 1841 1666 1507 1364
2014 1823 1649 1492 1350
1994 1805 1633 1477 1337
1975 1787 1617 1463 1324
1955 1769 1601 1448 1310
1935 1751 1585 1434 1297
1916 1734 1569 1420 1284
1897 1717 1553 1405 1272
1878 1700 1538 1391 1259
I860 1683 1522 1378 1247
9.0
1234 1117 1010 .00009142 8272
1222 1106 1000 9051 8190
1210 1095 ♦9904 8961 8109
1198 1084 •9805 8872 8028
1186 1073 •9708 8784 7948
1174 1062 •9611 8697 7869
1162 1052 •9516 8610 7791
1151 1041 •9421 8524 7713
1139 1031 •9327 8440 7636
1128 1021 •9234 8356 7560
7485 6773 6128 5545 5017
7411 6705 6067 5490 4968
7337 6639 6007 5435 4918
7264 6573 5947 5381 4869
7192 6507 5888 5328 4821
7120 6443 5829 5275 4773
7049 6378 5771 5222 4725
6979 6315 5714 5170 4678
6910 6252 5657 5119 4632
6841 6190 5601 5063 4586
.00004540
4495
4450
4406
4362
4319
4276
4233
4191
4149
8.0
1
10.0
«" -
-
«-«• X •"> X «• X 0.006738 = 1.388 X 10-". (0.00004540)' Method 2. Methods 3 and 4 are not convenient. Method 5. Any of the four methods can be used in conjunction with e~z = l/e*. e.g.,
—
-
1/(7.202
X
10")
1.388
X 10-"
1-90
GENERAL Table 7.
Hyperbolic
DATA
[Sec.
1
Functions: cosh x and sinh x cosh x
X
0.0
'
2
3
4
5
6
7
8
9
1. 0000
1.0002 1.007 1.024 1.052 1.090
1.0005 1.008 1.027 1.055 1.094
1 0008 1.010 1.030 1.058 1.098
1.0013 1.011 1.031 1.062 1.103
1.0018 1.013 1.034 1.066 1. 108
1.0025 1.014 1.037 1.069 1.112
1.0032 1.016 1.039 1.073 1.117
1.0041 1.018 1.042 1.077 1.123
1 2 3 4
I.00S 1.020 1.045 1.081
1 0001 1.006 1.022 1.048 1.085
5 6 7 8 9
1. 128 1.185 1.255 1.337 1.433
1.133 1.192 1.263 1.346 1.443
1.138 1.198 1.271 1.355 1.454
1.144 1.205 1.278 1.365 1.465
1.149 1.212 1.287 1.374 1.475
1.155 1.219 1.295 1.384 1.486
1. 161 1.226 1.303 1.393 1.497
1.167 1.233 1.311 1.403 1.509
1.173 1.240 1.320 1.413 1 520
1.179 1.248 1.329 1.423 1.531
1.543 1.669
1.567 1.696 1.841 2.005 2.189
1.579 1.709 1.857 2.023 2.209
1.591 1.723 1.872 2.040 2.229
1.604 1.737 1.888
1.616 1.752 1.905 2.076 2.269
1.629 1.766 1.921 2.095 2.290
1.642 1.781 1.937 2.113 2.310
1.655 1.796 1.954
1.971 2.151
1.555 1.682 1.826 1.988 2. 170
2.439 2.675 2.936
2.462 2.700 2.964
2.484 2.725 2.992
2.530 2.776
2.554 2.802
3.228
3.259 3.585
3.290 3.620
2.507 2.750 3.021 3.321
3.655
3.049 3.353 3.690
3.078 3.385 3.726
3.948 4.351 4.797 5.290 5.837
3.987 4.393 4.844 5.343 5.895
4.026 4.436
4.065 4.480
4.891 5.395 5.954
4.939 5.449
4.104 4.524 4.988
6.013
6.072
6.443
6.507
6.636
6.702
7.327 8.091 8.935
7.400 8.171
1.0 1 2 3 4
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
0
I.8M
5 6 7 8 9
2.352 2.577 2.828
2.374 2.601 2.855
2.395 2.625 2.882
3.107 3.418
2.417 2.650 2.909
3.137
3.167 3.484
3.197 3.517
2.0
3.835 4.226
3.873 4.267 4.704 5. 188 5.723
3.910 4.309 4.750
6.379 7.042 7.776
3.451
3.762
3.799
1 2 3 4
4.144
4.185 4.613
5.037 5.557
5.087
5 6 7 8 9
6.132
6.193
4.568
5.612
4.658 5.137 5.667 6.255 6.904 7.623
6.769 7.473 8.253
6.836
9.115
9.206
8.418 9.298
6.317 6.973 7 699 8.502 9.391
1 2 3 4
10.07 11.12 12.29 13.57 15.00
10.17 11.23 12.41 13.71 15.15
10.27 11.35 12.53 13.85 15.30
5 6 7 8 9
16.57 18.31 20.24 22.36 24.71
16.74 18.50 20.44 22.59 24.96
27.31 30. 18
27.58 30.48 33.69
3.0
4.0 1 2 3 4 5 6 7 8 9
5.0
7.548 8.335
3.551
5.239
5.780
5.503
8.587 9.484
7.932 8.759
9.579
9.675
9.772
9.869
9.024 9.968
10.37 11.46 12.66 13.99 15.45
10.48 11.57 12.79 14.13 15.61
10.58 11.69 12.91 14.27 15.77
10.69 11.81 13.04 14.41 15.92
10.79 11.92 13.17 14.56 16.08
10.90 12.04 13.31 14.70 16.25
11.01 12. 16 13.44 14.85 16.41
16.91 18.68 20.64 22.81 25.21
17.08 18.87 20.85 23.04 25.46
17.25 19.06
21.06 23.27 25.72
17.42 19.25 21.27 23.51
17.60 19.44
17.77 19.64
18.13 20.03 22.14 24.47 27.04
27.86
28.14
30.79
28.42 31.41 34.71
37.60 41.55
41.97
42.39
45.01 49.75 54.98
45.47
46.38
60.76
51.26 56.65 62.61
46.85 51.78 57.22
67.15
61.37 67.82
45.92 50.75 56.09 61.99
68.50
74.21
74.96
75.71
50 25 55.53
2.331
7.853 8.673
37.23 41. 14
40.73
2.132
6.571 7.255 8.011 8.847
31.10 34.37 37.98
33.35 36.86
2.058 2.249
34.02
OOBh X
38.36
7.112
21.49
21.70
17.95 19.84 21.92
23.74 26.24
23.98 26.50
26.77
28.71 31.72 35.06 38.75 42.82
29.00 32.04
29.29
29.58
29.88
32 37
35.41 39.13 43.25
35.77
32.69
43.68
36.13 39.93 44. 12
33.02 36.49
47.32
47.80 52.82 58.38
48.28
48.76 53.89
59.56 65.82
71.30
53 35 58.96 65 16 72.02
72.74
66.48 73.47
78.80
79.59
80.39
81.20
25.98
69.19
63.24 69.89
52.30 57.80 63.87 70.59
76.47
77.24
78.01
«* + «'
1 +
7.183
2!
+
41
64.52
+
39.53
24.22
40.33
44.57 49.25 54.43 60. 15
Sec. 1-2]
MATHEMATICAL
Table
7.
Hyperbolic
Functions
:
TABLES
1-91
cosh x and sinh x.
sinh x
I
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
0.0
0
1
2
3
0.0000
4
(Continued)
5
6
7
8
9
1 2 3 4
1002 2013 3045 4108
0100 1102 2115 3150 4216
0200 1203 2218 3255 4325
0300 1304 2320 3360 4434
0400 1405 2423 3466 4543
0500 1506 2526 3572 4653
0600 1607 2629 3678 4764
0701 1708 2733 3785 4875
0801 1810 2837 3892 4986
0901 1911 2941 4000 5098
5 6 7 8 9
5211 6367 7586 6881 1.027
5324 6485 7712 9015 1.041
5438 6605 7838 9150 1.055
5552 6725 7966 9286 1.070
5666 6846 8094 9423 1.085
5782 6967 8223 9561 1.099
5897 7090 8353 9700 1.114
6014 7213 8484 9840 1.129
6131 7336 8615 9981 1.145
6248 7461 8748 •0122 1.160
1.0 1 2 3 ♦
1.175 1.336 1.509 1.698 1.904
1.191 1.352 1.528 1.718 1.926
1.206 1.369 1.546 1.738 1.948
1.222 1.386 1.564 1.758 1.970
1.238 1.403 1.583 1.779 1.992
1.254 1.421 1.602 1.799 2.014
1.270 1.438 1.621 1.820 2.037
1.286 1.456 1.640 1.841 2.060
1.303 1.474 1.659 1.862 2.083
1.319 1.491 1.679 1.883
5 6 7 8 9
2.129 2.376 2.646 2.942 3.268
2.153 2 401 2.674 2.973 3.303
2. 177 2.428 2.703 3.005
2.201 2.454 2.732
2.225 2.481 2.761
3.069 3.408
2.274 2.535 2.820 3. 134
2.299 2.562 2.850
3.037 3.372
2.250 2.507 2.790 3.101 3.443
2.324 2.590 2.881 3.200
2.0
3.627 4.022 4.457 4.937 5.466
3.665
3.741 4. 148
4.988 5.522
3.703 4. 106 4.549 5.039 5.578
3.780 4. 191 4.643
3.820
1 2 3 4
3.859 4.278 4.739 5.248
5 6 7 8 9
6.050 6.695 7.406 8.192 9.060
6. 112 6.763 7.481 8.275 9.151
6.174 6.831 7.557 8 359 9.244
6.237
6.300
6.901 7.634 8.443
9.337
6.971 7.711 8.529 9.431
3.0
10.02 11.08 12.25 13.54 14.97
10. 12 II. 19 12 37 13.67 15.12
10.22 11.30 12.49 13.81 15.27
10.32 11.42 12.62 13.95 15.42
16.54 18.29
16.71 18.47 20.41 22.56 24.94
16.88 18.66 20.62 22.79 25. 19
17.05 18.84 20.83
27.56
27.84
30.47 33.67
30.77
28.12 31.08 34.35 37.97 41.96
1
20 21
22.34 24.69
4.0
5.0
27.29 30.16 33.34 36.84 40.72
4.064 4 503
3.337
34.01
4.596 5.090 5.635
23.02 25.44
37.21 41.13
37.59 41.54
45 00 49 74
45.46
46.37
54.97
55.52 61.36
45.91 50.74 56.08
62.60
50.24
60 75 67. 14
67 82
61.98 68.50
74.20
74.95
75.70
sinh :
5.142 5.693
4.234 4.691 5.195 5.751
6.365 7.042
2.617 2.911
3.234 3.589
3.899 4.322 4.788
3.940
3.981
5.810
5.302 5.869
5.356 5.929
6.429
6.495
6.561
7.113
7.185 7.948 8.790
4.367
4.837
4.412 4.887 5.411 5.989
6.627 7.332 8.110 8.969 9.918
7.789 8.615 9.527
8.702 9.623
9.720
7.258 8.028 8.879 9.819
10.43 11.53 12.75 14.09 15.58
10.53 11.65 12.88 14.23 15.73
10.64 11.76 13.01 14.38 15.89
10.75 11.88 13.14 14.52 16.05
10.86 12.00 13.27 14.67 16.21
10.97 12. 12 13.40 14.82 16.38
17.22 19.03 21.04 23.25 25.70
17.39 19.22
17.57 19.42 21.46 23.72 26.22
17.74 19.61 21.68 23.96
17.92 19.81 21.90 24.20 26.75
18. 10 20.01 22. 12 24.45 27.02
28.98
29.27 32 35 35.75
28.40
31.39 34.70
21.25 23.49 25.96
28.69 31.71
35.05 38.73
7.868
32.03 35.40
26.48
42.81
39. 12 43.24
39.52 43.67
46.84 51.77 57.21 63.23
47.31
47.79
52.29
52.81
48.27 53.34
69. 19
69.88
76.46
77.23
51.25 56.64
2.350
3.552
3.479
3.167 3.516
2.106
38 35
42.38
29.56
29.86
32.68
33.00 36.48
36. II 39.91 44. II
58.37
58.96
70.58
64.51 71.29
65. 16 72.01
48.75 53.88 59.55 65.81 72.73
78.01
78.79
79.58
80.38
57.79
63.87
40.31
44.56 49.24 54.42 60. 15
66.47 73.46 81.19
1-92
GENERAL
DATA
[SEC.
1
Table 7. Hyperbolic Functions : cosh x and sinh z. (Continued) (Table gives cosh x. Sinh x is the same except that the last digit is to be diminished by one ' appears.) where X
0
5.0
74.21'
2
3
4
5
6
7
8
9
74.96' 82.84' 91.55'
75.71'
76.47' 84.51
86.22' 95.29'
78.80' 87.09' 96.24
79.59'
80.39'
93.40'
77.24' 85.36' 94.34'
78.01
83.67' 92.47'
III.
102.2 112.9
103.2 114. 1
104.3 115.2
105.3 116.4
106.4 117.6'
88.84 98. 19' 108.5 119.9
81.20' 89.74'
101.2 8
87.96' 97.21 107.4 118.7
127.3 140.7 155.5 171.9 190.0
128.6 142.1 157.1 173.6 191.9
129.9 143.6 158.7 175.4 193.8
131.2 145.0 160.3 177. 1 195.8
132.5 146.5 161.9 178.9 197.7
133.9 147.9 163.5 180.7 199.7
209.9
212.1
232.0
234.4
214.2
218.5 241.5
220.7 243.9 269.6 297.9 329.3
1 2 3 4
82.01 90.64' 100.2 110.7
5 6 7 8 9
122.3 135.2 149.4 165.2' 182.5
123.6 136.6 150.9 166.8 184.4
124.8 137.9 152.5 168.5 186.2
126.1 139.3 154.0 170.2 188. 1
201.7 222.9 246.4
205.8
207.9
227.4 251.4
272.3
203.7 225.2 248.9' 275.0
300.9
303.9
277.8 307.0
229.7 253.9 280.6 310.1
332.6 367.5 406.2 448.9
335.9 371.2
496.1
501.1
339.3 375.0 414.4 458.0 506.2
342.7 378.7 418.6 462.6 511.2
548.3
553.8
559.4 618.2 683.2
565.0 624.4
6.0 1 2 3 4 5 6 7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:45 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
N
“
ẶWÑ-IQ
,
`
1 0100 1096 2070 3004 3885
Nůùẵlflh́lll
0000 0997 1974 2913 3799
tanh
J›UIN-Q
,
Hyperbolic Functions:
'0G`\4Ơ^V! .
Z
0
Table 8.
1-93 :I:
SI-:C. 1-2]
1-94
GENERAL Table 9.
X
0
1
0 0 1 2 3 4
+ 1.0000 + 0.9975 9900 9776 9604
1 . 0000 9970 9890 9761 9584
5 6 7 9
9385 9120 8812 8463 8075
1.0 1 2 ) 4
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
[Sec.
Bessel Functions: Jt>(x) and Jt(x)
1
Ji(x)
3
4
5
6
7
8
0 9999 9964 9879 9746 9564
9998 9958 9868 9730 9543
9996 9951 9857 9713 9522
9994 9944 9844 9696 9500
9991 9936 9832 9679 9478
9988 9928 9819 9661 9455
9984 9919 9805 9642 9432
9980 9910 9791 9623 9409
9360 9091 8779 8426 8034
9335 9062 8745 8388 7993
9310 9032 8711 8350 7952
9284 9002 8677 8312 7910
9258 8971 8642 8274 7868
9231 8940 8607 8235 7825
9204 8909 8572 8195 7783
9177 8877 8536 8156 7739
9149 8845 8500 8116 7696
7652 7196 6711 6201 5669
7608 7149 6661 6149 5614
7563 7101 6611 6096 5560
7519 7054 6561 6043 5505
7473 7006 6510 5990 5450
7428 6957 6459 5937 5395
7382 6909 6408 5884 5340
7336 6860 6356 5830 5285
7290 6810 6305 5777 5230
7243 6761 6253 5723 5174
5 6 7 8 9
5118 4554 3980 3400 2818
5062 4497 3922 3342 2760
5006 4440 3864 3284 2702
4950 4383 3806 3225 2644
4894 4325 3748 3167 2586
4838 4268 3690 3109 2528
4781 4210 3632 3051 2470
4725 4153 3574 2993 2412
4668 4095 3516 2934 2354
4611 4038 3458 2876 2297
2.0
2239 1666 1104 0555 + 0025
2181 1609 1048 0502 ♦0027
2124 1553 0993 0448 •0079
2066 1496 0937 0394 •0130
2009 1440 0882 0341 •0181
1951 1383 0827 0288 •0232
1894 1327 0773 0235 •0283
1837 1271 0718 0182 •0334
1780 1215 0664 0130 •0384
1723 1159 0609 0077 •0434
0533 1015 1469 1891 2280
0583 1062 1512 1932 2317
0632 1108 1556 1972 2354
0681 1154 1599 2012 2390
0729 1200 1641 2051 2426
0778 1245 1684 2090 2462
0826 1291 1726 2129 2497
0873 1336 1768 2167 2532
0921 1380 I80'J 2205 2566
2634 2951 3228 3465 3661
2668 2980 3253 3486 3678
2701 3009 3278 3507 3695
2733 3038 3303 3528 3711
2765 3066 3328 3548 3727
2797 3094 3351 3568 3743
2829 3122 3375 3587 3758
2860 3149 3398 3606 3773
2890 3176 3421 3625 3787
-4018
3815 3927 3997 4027 4015
3828 3936 4002 4027 4012
3841 3944 4007 4028 4008
3853 3953 4011 4027 4004
3865 3960 4014 4027 4000
3876 3967 4017 4026 3995
3887 3974 4020 4025 3990
3898 3981 4022 4023 3984
3908 3987 4024 4021 3978
-3971 -3887 -3766 -3610 -3423
3965 3876 3752 3593 3402
3958 3865 3737 3575 3381
3950 3854 3722 3557 3360
3942 3842 3707 3539 3339
3934 3831 3692 3520 3318
3925 3818 3676 3501 3296
3916 3806 3660 3482 3274
3907 3793 3644 3463 3251
3897 3779 3627 3443 3228
-3205 -2961 -2693 -2404 -2097
3182 2936 2665 2374 2066
3159 2910 2637 2344 2034
3135 2883 2609 2314 2002
-
3111 2857 2580 2283 1970
3087 2830 2551 2253 1938
3062 2803 2522 2222 1906
3037 2776 2493 2191 1874
3012 2749 2464 2160 1841
2987 2721 2434 2129 1809
1743
1710
1677
1644
1611
1578
,544
1511
1477
I
1 2 3 4 5 6 7 8 9
-0484 -0968
3 0 1 2
-2601 -2921
i
4 5 6 7 8 9
4 0 1 2 1 4 s (. 7 8 9
5.0
- 1424 -1850 -2243
-3202 -3443 -3643
- 3801 -3918 -3992 -4026
1776
2
DATA
2i(ll)i J'rix)
-Ji(x)
2<(21)'
2'(3!)>
9
mathematical
Sec. 1-2] Table 9.
t
I.I
1 2 3 4
J0(x)
and
1-95
J i(x).
(Continued)
0
1
2
3
4
S
6
7
8
9
+ 0 00000 0.04994 0 09950 0. 1483
I960
00500 05492 10442 1531 2007
01000 05989 1093 1580 2054
01500 06486 1142 1628 2101
02000 06983 1191 1676 2147
02499 07479 1240 1723 2194
02999 07974 1289 1771 2240
03498 08469 1338 1819 2286
03997 08964 1386 1866 2332
04495 09457 1435 1913 2377
2423 2867 3290 3688 4059
2468 2910 3331 3727 4095
2513 2953 3372 3765 4130
2558 2996 3412 3803 4165
2603 3039 3452 3840 4200
2647 3081 3492 3878 4234
2692 3124 3532 3915 4268
2736 3166 3572 3951 4302
2780 3207 361 1 3988 4335
2823 3249 3650 4024 4368
5 6 7 »
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions:
tables
1.0 1 2 3 *
4401 4709 4983 5220
J4I9
4433 4738 5008 5242 5437
4465 4767 5033 5263 5455
4497 4795 5058 5284 5472
4528 4823 5082 5305 5488
4559 4850 5106 5325 5504
4590 4878 5130 5344 5520
4620 4904 5153 5364 5536
4650 4931 5176 5383 5551
4680 4957 5198 5401 5565
} 6 7 g 9
5579 5699 5778 5815 5812
5593 5709 5783 5817 5809
5607 5718 5788 5818 5806
5620 5727 5793 5818 5803
5632 5735 5798 5819 5799
5644 5743 5802 5818 5794
5656 5751 5805 5818 5790
5667 5758 5808 5817 5785
5678 5765 5811 5816 5779
5689 5772 5813 5814 5773
5767 5683 5560 5399 5202
5761 5672 5545 5381 5180
5754 5661 5530 5362 5158
5746 5650 5515 5343 5136
5738 5638 5500 5324 5113
5730 5626 5484 5305 5091
5721 5614 5468 5285 5067
5712 5601 5451 5265 5044
5703 5587 5434 5244 5020
5693 5574 5416 5223 4996
4971 4708 4416 4097 3754
4946 4680 4385 4064 3719
4921 4652 4354 4030 3683
4895 4624 4323 3997 3647
4870 4595 4291 3963 3611
4843 4566 4260 3928 3575
4817 4536 4228 3894 3538
4790 4507 4195 3859 3502
4763 4477 4163 3825 3465
4736 4446 4130 3790 3428
3391 3009 2613 2207 1792
3353 2970 2573 2165 1751
3316 2931 2533 2124 1709
3278 2892 2492 2083 1667
3240 2852 2452 2042 1625
3202 2813 241 1 2000 1583
3164 2773 2370 1959 1541
3125 2733 2330 1917 1500
3087 2694 2289 1876 1458
3048 2654 2248 1834 1416
1374 0955 0538 + 0128
1332 0913 0497 0088 0312
1290 0871 0456 0047 0351
1248 0829 04145 00069 0390
1206 07876 0373 "0033 0429
1164 0746 0332 •0074 0468
1122 0704 0291 *0 114 0507
1080 0663 0250 0546
1038 0621 0210 •0193 0584
0996 0580 0169 •0233 0622
0698 1069 1421 1751 2057
0736 1105 1455 1783 2086
0774 1141 1489 1814 2115
081 1 1177 1522 1845 2144
0849 1212 1556 1876 2173
0886 1247 1589 1907 2201
0923 1282 1622 1938 2229
0960 1317 1654 1968 2256
0996 1352 1687 1998 2284
-3147
2337 2589 2812 3003 3161
2364 2613 2832 3020 3175
2390 2636 2852 3037 3189
2416 2659 2872 3054 3202
2442 2682 2892 3070 3216
2467 2704 291 1 3086 3228
2492 2726 2930 3102 3241
2517 2748 2949 3117 3253
2541 2770 2967 3132 3264
-3276
3287
3298
3308
3318
3328
3337
3346
3355
3363
I.t 1 2 3 4
J
6 7 8 »
I.I 2
I
4
I
b 1 6
'
4.1 2 ) 4 5 6 7
i
50
-0272 -0660
-
- 1033 1386 -1719 -2028 -2311 -2566
- 2791 - 2985
S.M
/iW
-
X
T 0! • 1! /'•(*)
*•
-
+ 2'- It - 21 V • 2!
31
*0I53
GENERAL DATA
1-96 Table9. X
0
5.0 1 2 3 4
-0.
J
-0758 -0412 -0068
Jo(x) and
Ji (i).
1
(Continued)
1
2
3
4
5
6
7
8
9
1743 1410 1069 0723 0378
1710 1376 1034 0689 0343
1677 1342 1000 0654 0309
1644 1308 0965 0620 0274
1611 1274 0931 0585 0240
1578 1240 0896 0550 0205
1544 1206 0862 0516 0171
151 1 1171 0827 0481 0137
1477 1137 0793 0447 0103
6 7 6 9
+ 0270 0599 0917 1220
0034 0303 0632 0948 1250
0000 0336 0664 0979 1279
•0034 0370 0696 1010 1308
•0068 0403 0728 1040 1337
•0102 0436 0760 1071 1366
•0135 0469 0792 1101 1394
•0169 0501 0823 1131 1423
•0203 0534 0855 1161 1451
•0236 0567 0886 1191 1479
6.0
1506 1773 2017 2238 2433
1534 1798 2041 2259 2451
1561 1824 2064 2279 2469
1589 1849 2086 2299 2486
1616 1873 2109 2319 2504
1642 1898 2131 2339 2521
1669 1922 2153 2358 2537
1695 1947 2175 2377 2554
1721 1970 2196 2396 2570
1747 1994 2217 2415 2585
2601 2740 2851 2931 2981
2616 2753 2860 2937 2984
263 1 2765 2869 2943 2987
2646 2777 2878 2949 2990
2660 2788 2886 2955 2993
2674 2799 2895 2960 2995
2688 2810 2902 2965 2997
2702 2821 2910 2969 2998
2715 2831 2917 2973 2999
2728 2841 2924 2977 3000
4
3001 2991 2951 2882 2786
3001 2988 2945 2874 2775
3001 2985 2939 2865 2764
3001 2982 2933 2856 2752
3000 2978 2927 2847 2740
2999 2974 2920 2837 2728
2998 2970 2913 2828 2715
2997 2966 2906 2818 2703
2995 2961 2898 2807 2690
2993 2956 2890 2797 2677
5 6 7 8 9
2663 2516 2346 2154 1944
2650 2500 2327 2134 1922
2636 2484 2309 2113 1899
2622 2467 2290 2093 1877
2607 2451 2271 2072 1855
2593 2434 2252 2051 1832
2578 2416 2233 2030 1809
2563 2399 2214 2009 1786
2547 2381 2194 1987 1763
2532 2364 2174 1965 1740
8 0 1 2 3 4
1717 1475 1222 0960 0692
1693 1450 1196 0934 0665
1669 1425 1170 0907 0637
1645 1400 1144 0880 0610
1622 1375 1118 0853 0583
1597 1350 1092 0826 0556
1573 1325 1066 0800 0529
1549 1299 1039 0773 0501
1524 1274 1013 0745 0474
1500 1248 0987 0719 0447
5 6 7 8 9
0419 + 0146
0392 0119 0152 0419 0678
0365 0092 0179 0445 0704
0337 0065 0206 0471 0729
0310 0037 0233 0497 0754
0283 0010 0260 0524 0779
0255 0286 0549 0804
0228 •0044 0313 0575 0829
0201 •0071 0339 0601 0854
0928 1166 1389 1597 1786
0952 1189 1411 1616 1804
0976 1211 1432 1636 1821
1000 1234 1453 1655 1839
1024 1257 1474 1674 1856
1048 1279 1495 1694 1873
1072 1302 1516 1712 1890
1096 1324 1536 1731 1907
1119 1346 1556 1749 1923
1955 2104 2230 2332 2410
1971 2117 2241 2341 2417
1987 2131 2252 2350 2423
2002 2144 2263 2358 2429
2017 2157 2273 2366 2434
2032 2169 2284 2374 2440
2047 2182 2294 2382 2445
2061 2194 2304 2389 2450
2076 2206 2313 2396 2455
2475
2478
2481
2484
2486
2488
1 2
J
4
J
6 7 8 »
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
- 1776
1443 - 1103
Bessel Functions:
[SEC.
7.0 1 2
J
9.0 1 2 3 4 5 6 7 8 9
-0125 -0392 -0653 -0903 -1142
- 1367 - 1577 - 1768
- 1939 - 2090
- 2323 -2218
- 2403
10.0
- 2459
Zeros of
JaW
x=
12
2464
2468
2471
2.4048
5.5201
3 8.6537
4 11.7915
*00I7
5 14.9309
6 18.0711
7 21.2116
0174
*0I00 0366 0627 0879
8 24.3525
mathematical
Sec. 1-2] Table 9.
z
It
1 2 J 4
Jt>(x) and
1-97
Ji{x).
(Continued)
0
1
2
3
4
5
6
7
8
9
-0.3276 -3371
3287 3379 3436 3460 3451
3298 3386 3440 3461 3448
3308 3393 3444 3461 3445
3318 3400 3447 3461 3442
3328 3406 3450 3461 3438
3337 3412 3453 3460 3434
3346 3417 3455 3459 3430
3355 3423 3457 3457 3425
3363 3428 3458 3456 3420
-3432 -3460
-3453
5 6 7 8
-3414 -3343
3409 3335 3230 3096 2934
3403 3325 3218 3081 2917
3396 3316 3205 3065 2899
3390 3306 3192 3050 2881
3383 3296 3179 3034 2862
3376 3286 3166 3018 2844
3368 3275 3153 3002 2825
3360 3264 3139 2985 2806
3352 3253 3125 2969 2786
'. 0 1 ; 5
--2767 2559
2747 2537 2305 2055 1789
2727 2514 2281 2029 1762
2707 2492 2257 2003 1734
2686 2469 2232 1977 1707
2666 2446 2207 1950 1679
2645 2423 2182 1924 1651
2623 2400 2157 1897 1623
2602 2377 2132 1870 1595
2580 2353 2106 1843 1567
s 6 7 1 9
-1538
1510 1220 0923 0622 0319
1481 1191 0893 0592 0288
1453 1162 0863 0561 0258
1424 1132 0833 0531 0228
1395 1102 0803 0501 0198
1366 1073 0773 0470 0167
1337 1043 0743 0440 0137
1308 1013 0713 0410 0107
1279 0983 0682 0379 0077
*0I63 0457 0742 1016 1277
*0192 0486 0770 1043 1302
•0222 0514 0798 1070 1328
,
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions:
tables
M
-3241 -3110 -2951
-2329
-
- 2081 1816 - 1250 -0953 -0652 -0349 -0047
I 2 } 4
+ 0251 0543 0826 1096
0017 0282 0572 0853 1123
•0013 0310 0601 0881 1149
"0043 0340 0629 0908 1175
♦0073 0369 0658 0935 1201
•0103 0398 0686 0963 1226
•0133 0428 0714 0990 1252
) t 7 8
1352 1592 1813 2014 2192
1377 1615 1834 2032 2208
1402 1638 1855 2051 2225
1426 1660 1875 2069 2241
1450 1683 1896 2088 2257
1475 1705 1916 2106 2272
1498 1727 1936 2123 2287
1522 1749 1956 2141 2303
1546 1771 1975 2158 2317
1569 1792 1994 2175 2332
2346 2476 2580 2657 2708
2360 2488 2589 2664 2711
2374 2499 2598 2670 2715
2388 2510 2606 2675 2718
2401 2521 2614 2681 2720
2414 2531 2622 2686 2723
2427 2542 2630 2691 2725
2440 2552 2637 2696 2727
2452 2561 2644 2700 2729
2464 2571 2651 2704 2730
'
2731 2728 2697 2641 2559
2732 2726 2693 2634 2550
2733 2724 2688 2626 2540
2733 2721 2683 2619 2530
2733 2719 2678 2611 2519
2733 2716 2672 2603 2509
2732 2713 2666 2595 2498
2731 2709 2660 2566 2487
2730 2705 2654 2577 2476
2729 2701 2648 2568 2465
1 2 3 *
2453 2324 2174 2004 1816
2441 2310 2158 1986 1797
2429 2296 2142 1968 1777
2417 2281 2125 1950 1757
2404 2267 2108 1931 1737
2391 2252 2091 1912 1716
2378 2237 2074 1893 1696
2365 2221 2057 1874 1675
2352 2206 2040 1855 1655
2338 2190 2022 1836 1634
7 ; 4
1613 1395 1166 0928 0684
1591 1373 1143 0904 0659
1570 1350 1119 0880 0634
1549 1328 1096 0856 0609
1527 1305 1072 0831 0585
1506 1282 1048 0807 0560
1484 1259 1025 0782 0535
1462 1236 10006 0758 0510
1440 1213 0977 0733 0485
1418 1190 0953 0708 0460
DO
+ 0435
0410
0385
0360
0334
0309
0284
0259
0234
0209
If rata!
J Ax)
'
It 2 3 4 j
i 7
J I
i -
1 3.8317
2 7.0156
3 10.1735
4 13.3237
5 16.4706
6 19.6159
7 22.7601
8 25.9037
1-98
GENERAL DATA Table 9.
X
:o.o
Bessel Functions: Jv(x) and ./,( x).
4
1
(Continued)
0
1
2
-0.2459
2464 2492 2495 2474 2428
2468 2493 2494 2470 2422
2471 2495 2493 2467 2416
2475 2496 2492 2463 2410
2478 2496 2490 2458 2403
2481 2497 2488 2454 2396
2484 2497 2485 2449 2389
2486 2497 2483 2444 2382
2488 2497 2480 2439 2374
3
6
5
7
8
9
i 2 3 4
-2490
5 6 7 8 9
-2366 -2276 -2164 -2032
2358 2266 2152 2018 1865
2350 2256 2140 2003 1848
2342 2245 2127 1989 1832
2333 2234 2114 1974 1815
2324 2223 2101 1959 1798
2315 2212 2087 1943 1781
2306 2200 2074 1928 1764
2296 2188 2060 1912 1747
2286 2177 2046 1897 1730
II. 0
-1712 -1528
1694 1508 1309 1099 0880
1676 1489 1289 1078 0858
1658 1470 1268 1056 0835
1640 1450 1247 1034 0813
1622 1430 1227 1012 0790
1603 1411 1206 0991 0767
1584 1391 1185 0969 0745
1566 1370 1163 0946 0722
1547 1350 1142 0924 0699
+ 0020 0250
0654 0423 0190 0043 0273
0631 0400 0167 0066 0296
0608 0376 0143 0089 0319
0585 0353 0120 0112 0342
0562 0330 0097 0135 0364
0539 0307 0073 0159 0387
0516 0283 0050 0182 0410
0493 0260 0027 0205 0432
0469 0237 0004 0228 0455
12.0 1 2 3 4
0477 0697 0908 1108 1296
0499 0718 0928 1127 1314
0521 0740 0949 1147 1331
0544 0761 0969 1166 1349
0566 0782 0989 1185 1367
0588 0803 1009 1203 1384
0610 0824 1029 1222 1401
0632 0845 1049 1241 1418
0653 0866 1069 1259 1435
0675 0887 1088 1277 1452
5 6 7 8 9
1469 1626 1766 1887 1988
1485 1641 1779 1898 1997
1502 1655 1792 1909 2006
1518 1670 1804 1920 2015
1534 1684 1817 1930 2023
1550 1698 1829 1940 2031
1565 1712 1841 1950 2039
1581 1726 1853 I960 2047
1596 1739 1864 1970 2055
1611 1753 1876 1979 2062
13.0 1 2 3 4
2069 2129 2167 2183 2177
2076 2134 2169 2183 2175
2083 2138 2172 2184 2173
2089 2143 2174 2184 2171
2096 2147 2176 2183 2169
2102 2151 2178 2183 2166
2108 2154 2179 2182 2163
2113 2158 2180 2181 2160
2119 2161 2182 2180 2157
2124 2164 2182 2179 2154
5 6 7 8 9
2150 2101 2032 1943 1836
2146 2095 2024 1933 1824
2142 2089 2016 1923 1812
2138 2083 2008 1913 1800
2133 2076 1999 1903 1788
2128 2069 1990 1892 1775
2123 2062 1981 1881 1763
2118 2055 1972 1870 1750
2113 2048 1963 1859 1737
2107 2040 1953 1847 1724
14.0 1 2 3 4
1711 1570 1414 1245 1065
1697 1555 1397 1227 1046
1684 1539 1381 1210 1028
1670 1524 1364 1192 1009
1656 1509 1348 1174 0990
1642 1493 1331 1156 0971
1628 1478 1314 1138 0952
1613 1462 1297 1120 0933
1599 1446 1280 1102 0914
1584 1430 1262 1083 0895
5 6 7 8 9
0875 0679 0476 0271 + 0064
0856 0659 0456 0250 0043
0837 0639 0436 0229 0023
0817 0618 0415 0209 + 0002
0798 0598 0394 0188
0778 0578 0374 0167
0758 0558 0353 0147
0738 0538 0333 0126
0719 0517 0312 0105
0699 0497 0291 0085
1 2 3 4 5 6 7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
[Sec.
For
-2496 -2477 -2434
- 1881 — 1330
-1121 -0902 -0677
-0446 -0213
i>
15 ■fi(z)
■v/—
[ cos (z
VI
-
-0019
-)
+ — sin
0.7979
-0039
(x
-0060
- l) 1 . error
0.7854
-0081
< 0.000 1
-0101
-0122
Sec. 1-2]
mathematical Table 9.
1-99
J0(x) and ./i(x).
(Continued)
/id)
X
0
1
2
3
4
5
6
7
10.0 4 2 3 4
+ 0.0435
0410 0159 0091 0338 0578
0385 0134 0116 0362 0602
0360 0109 0141 0386 0626
0334 0084 0165 041 1 0649
0309 0059 0190 0435 0673
0284 0034 0215 0459 0696
0259 0009 0240 0483 0719
5 6
-0789
1422 — 1603
0811 1034 1244 1441 1621
0834 1056 1265 1459 1638
0857 1077 1285 1478 1655
0879 1099 1305 1496 1671
0902 1120 1325 1515 1688
0924 1141 1344 1533 1704
1768 1913 2039 2143 2225
1783 1927 2050 2152 2231
1798 1940 2061 2161 2238
1814 1953 2072 2169 2245
1828 1966 2083 2178 2251
1843 1979 2093 2186 2257
-2284 2320 2333 2323 2290
2288 2322 2333 2321 2285
2293 2324 2333 2318 2281
2297 2326 2332 2315 2276
2301 2328 2332 2312 2270
2234 2157 2060 — 1943 — 1807
2228 2149 2049 1930 1793
2221 2140 2038 1917 1778
2214 2130 2027 1904 1763
1655 — 1487 — 1307 1114 — 0912
1639 1470 1288 1095 0892
1623 1452 1269 1075 0871
— — — —
0703 0489 0271 0052 0166
0682 0467 0249 0030 0188
0380 0590 0791 0984 1165
14.0 1 2 3
5 6 7 g
I
8 9 1 10
I
2
J
4 S 7 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions:
tables
12.0 2 3 4 5 6 7 9 13.0 j 2 3 4
For x
9
0234 0264 0507 0742
0209 •0041 0289 0531 0766
0946 1162 1364 1551 1720
0968 1183 1383 1568 1736
0990 1203 1403 1586 1752
1857 1991 2104 2194 2263
1872 2003 2114 2202 2268
1886 2015 2123 2210 2274
1900 2027 2133 2217 2279
2305 2329 2331 2309 2265
2308 2331 2330 2306 2259
2312 2332 2328 2302 2253
2315 2332 2327 2298 2247
2317 2333 2325 2294 2241
2206 2121 2015 1891 1748
2199 2111 2004 1877 1733
2191 2101 1992 1863 1718
2183 2091 1980 1850 1702
2175 2081 1968 1836 1687
2166 2070 1955 1821 1671
1606 1435 1250 1055 0850
1590 1417 1231 1035 0830
1573 1399 1212 1014 0809
1556 1380 1192 0994 0788
1539 1362 1173 0974 0767
1522 1344 1154 0954 0746
1505 1325 1134 0933 0724
0661 0445 0227 0008 0209
0639 0423 0205 ♦0014 0231
0618 0402 0183 ♦0036 0252
0596 0380 0161 •0057 0274
0575 0358 0139 ♦0079 0295
0553 0336 0117 •0101 0317
0532 0314 0096 •0123 0338
0510 0293 0074 •0144 0359
0402 0610 081 1 1003 1183
0423 0631 0831 1021 1200
0444 0651 0850 1040 1217
0465 0671 0870 1058 1234
0486 0692 0889 1076 1251
0507 0712 0908 1094 1268
0528 0732 0927 1112 1285
0548 0752 0946 1130 1301
0569 0772 0965 1148 1318
1334 1488 1626 1747 1850
1350 1502 1639 1758 I860
1366 1517 1652 1769 1869
1382 1531 1664 1780 1878
1397 1545 1677 1791 1886
1413 1559 1689 1801 1895
1428 1573 1701 181 1 1903
1443 1586 1713 1821 1911
1458 1600 1724 1831 1919
1473 1613 1736 1841 1927
1934 1999 2043 2066 2069
1942 2004 2046 2067 2068
1949 2009 2049 2068 2067
1956 2014 2052 2069 2066
1962 2019 2054 2070 2064
1969 2023 2057 2070 2062
1975 2027 2059 2070 2061
1981 2031 2061 2070 2058
1987 2035 2063 2070 2056
1993 2039 2065 2069 2054
+ 0184
-0066 -0313 -0555
-
- 1012 1224
--
----
--
-
+
fo 7 8 9
9
8
+
> 15
JiW " 'J—
[«in
(i -
^)
-
= 0.7979
^
cos
^
(r
-
-
^) ].
2.3562
error
< 0,0001
*00I6
1-100
GENERAL DATA Table 10.
1
Yt(x) and Y,(x)
2
3
4
5
6
7
8
3.005 1.473 1.049 7847 5884
2.564 1.416 1.0175 7627 5712
2.305 1.364 0.9877 7414 5542
2.122 1.316 0.9591 7206 5377
1.979 1.271 0.9316 7003 5214
1.863 1. 228 0.9050 6806 5055
1.764 1. 189 0.8794 6613 4898
1.678 1. 151 0.8546 6424 4745
0.8306
+ 0056
4299 2960 1797 0771 0143
4156 2837 1689 0675 0229
4015 2715 1582 0580 0314
3876 2595 1476 0486 0398
3739 2476 1372 0393 0481
3604 2359 1269 0301 0563
3472 2244 1167 0210 0644
3341 2130 1066 0120 0725
3212 2018 0966 0032 0804
0883 1622 2281 2865 3379
0960 1691 2343 2920 3427
1037 1760 2404 2974 3473
1113 1828 2464 3027 3520
1188 1895 2523 3079 3565
1262 1961 2582 3131 3610
1336 2026 2640 3162 3654
1409 2091 2698 3232 3698
1480 2155 2754 3282 3741
1551 2218 2810 3331 3783
3824 4204 4520 4774 4968
3865 4239 4548 4796 4984
3906 4273 4576 4818 5000
3945 4306 4603 4839 5015
3984 4338 4629 4859 5029
4022 4370 4655 4879 5043
4060 4401 4680 4898 5056
4097 4432 4705 4916 5069
4133 4462 4728 4934 5081
4169 4491 4752 4951 5093
1 2 3 4
5104 5183 5208 5181 5104
5114 5188 5207 5175 5094
5124 5192 5207 5169 5083
5133 5196 5205 5163 5072
5142 5199 5203 5156 5060
5150 5202 5201 5148 5048
5158 5204 5198 5141 5036
5165 5206 5194 5132 5022
5172 5207 5190 5123 5009
5177 5208 5186 5114 4995
5 6 7 8 9
4981 4813 4605 4359 4079
4966 4794 4582 4333 4049
4951 4775 4559 4306 4019
4935 4755 4535 4279 3989
4919 4735 4511 4251 3958
4902 4714 4487 4223 3927
4885 4693 4462 4195 3896
4868 4672 4437 4167 3865
4650 4650 4411 4138 3833
4832 4628 4385 4109 3801
3.0 1 2 3 4
3769 3431 3071 2691 2296
3736 3396 3033 2652 2256
3703 3361 2996 2613 2216
3670 3325 2958 2574 2175
3637 3289 2921 2535 2135
3603 3253 2883 2495 2094
3569 3217 2845 2456 2054
3535 3181 2807 2416 2013
3500 3144 2768 2376 1972
3466 3108 2730 2336 1931
5 6 7 B 9
1890 1477 1061 0645 + 0234
1849 1436 1019 0604 0193
1808 1394 0977 0562 0152
1767 1352 0936 0521 0112
1726 1311 0894 0480 0071
1684 1269 0853 0439 0031
1643 1227 081 1 0397 •0009
1602 1186 0769 0356 *0050
1560 1144 0728 0315 *0090
1519 1102 0686 0275 •0130
1 2
-0169 -0561 -0938
4
-1633
0209 0599 0974 1331 1666
0249 0638 101 1 1365 1698
0288 0676 1047 1400 1730
0328 0714 1083 1434 1762
0367 0751 1119 1467 1793
0406 0789 1155 1501 1825
0445 0826 1191 1535 1856
0484 0864 1226 1568 1886
0522 0901 1261 1601 1917
1977 2262 2518 2744 2939
2007 2289 2542 2765 2956
2036 2315 2566 2786 2973
2065 2342 2589 2806 2990
2094 2368 2612 2826 3007
2123 2394 2635 2845 3023
2151 2419 2658 2865 3039
2179 2444 2680 2884 3055
2207 2469 2702 2902 3070
3100
3114
3128
3142
3155
3168
3180
3193
3204
M
0.0 1 2
)
0
— 00
-1.534
- 1.081
- 0.8073
4
-6060
5 D 7 B »
-4445 -3085 -1907 -0868
1.0 1 2 3
* 5
(
7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions:
[Sec.
2.0
4.0
i
5 6 7 8 9
5.0
- 1296 - 1947 - 2235 - 2494 2723 -2921
- 3085
Linear interpolation is inaccurate for low values of the argument. use the auxiliary functions. Table 13, J"o(x) = -3/i(x)
9
1.602 15
I.J
6240 4594
For greater accuracy in this range,
SEC. 1-2J
MATHEMATICAL TABLES Table 10.
X
Ko(x) and Y^x). Kid)
(Continued)
0
1
2
3
4
5
6
7
8
9
— so — 6.459
31.86 5.409
3.042
1 .781
63.68 5 886 3. 176 2.227 1.743
2. 165 1.708
21.26 5.007 2.919 2. 107 1.673
15.96 4.662 2.807 2.052 1.641
12.79 4.364 2.704 2.000 1.610
10.68 4. 103 2.609 1.952 1.580
9. 167 3.873 2.521 1.906 1.551
8.038 3.670 2.440 1.862 1.523
7.160 3.487 2.364 1.820 1.497
1.471 1 . 260 1 . 103 9781 8731
1.447 1.243 1.090 9669 8634
1.423 1.226 1.076 9558 8539
1.401 1.209 1.063 9449 8444
1.378 1. 193 1.050 9342 8351
1.357 1. 177 1.038 9236 8258
1.337 1. 161 1.025 9132 8167
1.317 1. 146 1.013 9030 8077
1.297 1. 132 1.0013 8929 7988
1.279 1.117 •9896 8829 7900
-6211 -5485 -4791
7726 6902 6137 5415 4724
7640 6823 6063 5344 4656
7555 6745 5990 5274 4589
7471 6667 5916 5204 4521
7388 6590 5844 5135 4454
7305 6513 5771 5066 4388
7223 6437 5699 4997 432!
7142 6361 5628 4928 4255
7061 6286 5556 4860 4189
4123 3476 2847 2237 — 1644
4057 3412 2785 2177 1586
3992 3349 2724 2117 1528
3927 3285 2662 2057 1470
3862 3222 2601 1997 1412
3797 3159 2540 1938 1355
3732 3096 2479 1879 1297
3668 3034 2418 1820 1240
3604 2972 2357 1761 1184
3540 2909 2297 1702 1127
-
1070 0517 0015 0523 1005
1014 0463 0067 0572 1052
0958 0409 0118 0621 1098
0902 0355 0170 0670 1144
0846 0301 0221 0719 1190
0791 0248 0272 0767 1236
0736 0195 0323 0815 1281
0681 0142 0373 0863 1326
0626 0090 0423 091 1 1371
0571 0037 0473 0958 1415
1459 1884 2276 2635 2959
1503 1924 2314 2669 2990
1547 1965 2351 2703 3020
1590 2005 2388 2736 3050
1633 2045 2424 2769 3079
1675 2084 2460 2802 3108
1718 2123 2496 2834 3136
1760 2162 2531 2866 3164
1801 2200 2566 2897 3192
1843 2239 2601 2929 3220
3247 3496 3707 3879 4010
3273 3519 3726 3893 4021
3300 3542 3745 3908 4032
3326 3564 3763 3922 4042
3351 3585 3780 3936 4052
3376 3607 3798 3949 4061
3401 3627 3815 3962 4070
3425 3648 3831 3975 4079
3449 3668 3847 3987 4087
3473 3688 3863 3999 4095
''
4102 4154 4167 4141 4078
4109 4157 4166 4137 4070
4115 4160 4165 4132 4061
4122 4162 4163 4126 4052
4127 4164 4161 4120 4043
4133 4165 4159 4114 4033
4138 4166 4156 4108 4023
4142 4167 4153 4101 4013
4147 4167 4149 4094 4002
4150 4167 4145 4086 3991
4 0 [ 2 3 4
3979 3846 3680 3484 3260
3967 3831 3662 3463 3236
3955 3815 3643 3441 3212
3943 3800 3624 3420 3187
3930 3783 3605 3397 3163
3917 3767 3586 3375 3138
3903 3750 3566 3353 3113
3889 3733 3546 3330 3087
3875 3716 3525 3307 3062
3861 3698 3505 3283 3036
5 6 7 3 9
3010 2737 2445 2136 1812
2984 2709 2415 2104 1780
2957 2680 2384 2072 1746
2930 2652 2354 2040 1713
2904 2623 2323 2008 1680
2876 2594 2292 1976 1647
2849 2564 2261 1943 1613
2821 2535 2230 191 1 1580
2794 2505 2199 1878 1546
2766 2475 2167 1845 1512
+1479
1445
1411
1377
1343
1309
1275
1240
1206
1172
0 0 1 2 i 3 4 5 6 7 S 9
—3.324 — 2.293
-
--
-0.
-
-
1.0
-7812
1 2 3 4
6981
---
6 7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions:
1-101
-
2 0
+
2 3 4 5 6 7
a •
3.0 1 2 3
*
s 6 7
1
Linear interpolation is inaccurate for low values of the argument. w the auxiliary functions, Table 13. Yi(x)
- - J".(x)
For greater accuracy in this range,
1-102
GENERAL Table 10.
DATA
[Sec.
Bessel Functions: Yo(x) and Yt(x).
(Continued)
Y^x)
X
0
2
3
4
5
6
7
8
9
I 2 3 4
-0.3085 -3216 -3313 -3374 -3402
3100 3227 3320 3379 3403
3114 3238 3328 3383 3403
3128 3249 3335 3386 3403
3142 3259 3341 3389 3403
3155 3269 3348 3392 3402
3168 3278 3354 3395 3402
3180 3287 3359 3397 3400
3193 3296 3365 3399 3399
3204 3304 3370 3400 3397
5 6 7 8 9
-3395 -3354 -3282 -3177 -3044
3392 3349 3273 3165 3029
3389 3342 3263 3153 3013
3386 3336 3254 3140 2998
3383 3329 3244 3127 2982
3379 3322 3233 3114 2966
3375 3315 3223 3101 2950
3370 3307 3212 3087 2933
3365 3299 3201 3073 2916
3360 3290 3189 3058 2899
6.0
5.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
1
1
-2882
1 2 3 4
-2694 -2483 -2251 -1999
2864 2674 2461 2226 1973
2846 2654 2438 2202 1947
2828 2633 2415 2177 1921
2810 2613 2393 2152 1894
2791 2592 2369 2127 1868
2772 2570 2346 2102 1841
2753 2549 2322 2077 1814
2734 2527 2299 2051 1787
2714 2505 2275 2025 1760
5 6 7 e 9
-1732 -1452 -1162
1705 1424 1132 0834 0532
1677 1395 1103 0804 0502
1650 1366 1073 0774 0472
1622 1337 1044 0744 0441
1594 1308 1014 0714 0411
1566 1279 0984 0684 0381
1538 1250 0954 0653 0350
1509 1221 0924 0623 0320
1481 1191 0894 0593 0290
7.0
-0259
I 2 3 4
+ 0042 0339 0628 0907
0229 0072 0368 0656 0934
0199 0102 0397 0684 0961
0169 0131 0426 0713 0988
0139 0161 0455 0741 1015
0108 0191 0484 0769 1042
0078 0221 0513 0797 1068
0048 0250 0542 0824 1095
0018 0280 0571 0852 1121
•0012 0309 0599 0879 1147
5 6 7 8 9
1173 1424 1658 1872 2065
1199 1448 1680 1893 2083
1225 1472 1702 1913 2101
1250 1496 1724 1932 2119
1276 1520 1746 1952 2136
1301 1543 1768 1972 2153
1326 1567 1789 1991 2170
1351 1590 1810 2010 2187
1375 1613 1831 2028 2203
1400 1635 1852 2047 2219
8.0 I 2 3 4
2235 2381 2501 2595 2662
2251 2394 2512 2603 2667
2266 2407 2522 2611 2672
2282 2420 2532 2618 2677
2296 2432 2542 2625 2681
2311 2444 2551 2632 2686
2326 2456 2561 2639 2689
2340 2468 2570 2645 2693
2354 2479 2578 2651 2696
2367 2490 2587 2657 2699
5 6 7 8 9
2702 2715 2700 2659 2592
2705 2714 2697 2653 2583
2707 2714 2694 2647 2575
2709 2713 2690 2641 2566
2710 2712 2687 2635 2558
2712 2711 2683 2628 2549
2713 2709 2678 2621 2539
2714 2707 2674 2614 2530
2714 2705 2669 2607 2520
2715 2703 2664 2599 2510
9.0 | 2 3 4
2499 2383 2245 2086 1907
2489 2371 2230 2069 1889
2478 2357 2215 2052 1870
2467 2344 2199 2034 1851
2456 2331 2184 2017 1831
2444 2317 2168 1999 1812
2433 2303 2152 1981 1792
2421 2289 2136 1963 1772
2408 2274 2119 1945 1752
2396 2260 2103 1926 1732
5 6 7 8 9
1712 1502 1279 1045 0804
1692 1480 1256 1021 0779
1671 1458 1233 0998 0755
1650 1436 1210 0974 0730
1630 1414 1186 0949 0705
1609 1392 1163 0925 0681
1588 1369 1140 0901 0656
1566 1347 1116 0877 0631
1545 1324 1093 0853 0606
1523 1302 1069 0828 0582
0557
0532
0507
0482
0457
0432
0407
0382
0357
0332
10.0 Zeros of z =
-0864 -0563
YM
1 0.8936
2 3.9577
3 7.0861
4 10.2223
5 13.3611
6 16.5009
7 19.6413
22.7820
Sec. 1-2]
mathematical Table 10.
r
0
1
2
3
5 0 | 2
+ 0. 1479
1445 1103 0757 041 1 0067
1411 1069 0723 0376 0033
1377 1034 0688 0342
1-103
l'o(i) and Yi(x). 4
6
5
(Continued) 7
8
9
1343 1000 0653 0307 •0035
1309 0965 0619 0273 »0069
1275 0930 0584 0238 •0103
1240 0896 0549 0204 •0137
1206 0861 0515 0170 •0170
1172 0827 0480 0136 •0204
«
1137 0792 0445 + 0101
s
-0238
7 8 »
0568 — 0887 — 1192 1481
-
0271 0601 0918 1222 1509
0304 0633 0949 1251 1536
0338 0665 0980 1281 1564
0371 0697 101 1 1310 1591
0404 0729 1042 1339 1618
0437 0761 1072 1368 1645
0470 0793 1102 1396 1671
0503 0824 1133 1425 1698
0535 0856 1163 1453 1724
1750 — 1998 — 2223 2422 2596
1776 2022 2244 2441 2611
1801 2045 2265 2459 2627
1827 2068 2285 2477 2642
1852 2091 2306 2495 2657
1877 2114 2326 2512 2672
1902 2136 2346 2530 2686
1926 2158 2365 2547 2700
1950 2180 2385 2563 2714
1974 2201 2404 2580 2728
2741 2857 2945 3002 — 3029
2754 2868 2952 3006 3030
2767 2877 2958 3010 3031
2779 2887 2965 3013 3032
2791 2896 2971 3016 3032
2803 2905 2977 3019 3032
2814 2913 2983 3022 3031
2826 2922 2988 3024 3031
2836 2930 2993 3026 3030
2847 2937 2997 3028 3028
3025 2990 2927 2836 2718
3023 2985 2919 2825 2705
3020 2980 291 1 2814 2692
3017 2974 2902 2803 2678
3014 2968 2893 2792 2664
3011 2962 2885 2780 2650
3007 2955 2875 2768 2636
3003 2949 2866 2756 2621
2999 2942 2856 2744 2606
)
6.0 2 3 ♦ 5 6 7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions:
tables
7 0
-
----
-3027 2995 — 2934 — 2846 2731
*000l
2 3
-
5
— 2591 2428 2243 2039 1817
2576 2410 2224 2017 1794
2560 2393 2204 1996 1771
2545 2375 2184 1974 1748
2529 2357 2164 1952 1724
2512 2338 2143 1930 1701
2496 2320 2123 1908 1677
2479 2301 2102 1885 1653
2462 2282 2081 1863 1629
2445 2263 2060 1840 1605
1581 1331 — 1072 — 0806 — 0535
1556 1306 1046 0779 0508
1532 1280 1020 0752 0460
1507 1255 0993 0725 0453
1482 1229 0967 0698 0426
1457 1203 0940 0671 0398
1432 1177 0913 0644 0371
1407 1151 0887 0617 0344
1382 1125 0860 0589 0316
1357 1099 0833 0562 0289
— 0262 001 1 0280 0544 0799
0234 0038 0307 0569 0824
0207 0065 0333 0595 0849
0180 0092 0360 0621 0873
0152 01 19 0386 0647 0898
0125 0146 0413 0672 0922
0098 0173 0439 0698 0947
0071 0200 0465 0723 0971
0043 0227 0491 0748 0995
0016 0253 0518 0774 1019
1043 1275 1491 1691 1871
1067 1297 1512 1710 1888
1091 1319 1532 1728 1905
1114 1341 1553 1747 1922
1137 1363 1573 1765 1938
1161 1385 1593 1783 1954
1184 1406 1613 1801 1970
1207 1428 1633 1819 1986
1229 1449 1652 1837 2001
1252 1470 1671 1854 2017
2032 2171 2287 2379 2447
2047 2183 2297 2387 2452
2061 2196 2307 2394 2458
2076 2208 2317 2402 2463
2090 2220 2326 2409 2467
2104 2232 2336 2416 2472
2118 2243 2345 2423 2476
2131 2254 2354 2429 2480
2145 2265 2362 2435 2484
2158 2276 2371 2441 2487
2490
2493
2496
2498
2500
2502
2504
2506
2507
2508
2.1971
5.4297
8.5960
7 g 9 8 0 2 3
5
---
--
+
7 g 9 9 0 2 3 4 5 (, 7 9
10.0
+
11.7492
14.8974
18.0434
21.1881
24.3319
GENERAL
1-104 Table 10.
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
X
0
1
DATA
[Sec.
Bessel Functions: Yo(x) and Yi(x). rod) 2
4
3
5
1
{Continued)
6
7
8
9
10.0 + 0.0557 1 0307 2 + 0056 3 -0193 4 -0437
0532 0281 0031 0218 0462
0507 0256 0006 0242 0486
0482 0231 •0019 0267 0510
0457 0206 •0044 0291 0534
0432 0181 •0069 0316 0557
0407 0156 •0094 0340 0581
0382 0131 •0119 0365 0605
0357 0106 •0143 0389 0628
5 6 7 8 9
-0675 -0904 -1122 -1326 -1516
0699 0926 1143 1346 1534
0722 0949 1164 1366 1552
0745 0971 1185 1385 1569
0768 0993 1205 1404 1587
0791 1015 1226 1423 1604
0814 1036 1246 1442 1622
0837 1058 1267 1461 1639
0859 1079 1287 1479 1655
0882 110 1 1307 1498 1672
11.0 1 2 3 4
-1608
-2183
1705 1857 1990 2101 2191
1721 1871 2002 2111 2199
1737 1885 2014 2121 2206
1752 1899 2025 2130 2213
1768 1913 2037 2140 2220
1783 1926 2048 2149 2227
1798 1939 2059 2158 2234
1813 1952 2070 2166 2240
1828 1965 2081 2175 2246
5 6 7 8 9
-2252 -2299 -2322 -2322 -2298
2258 2302 2323 2320 2295
2263 2305 2324 2319 2291
2269 2308 2324 2317 2287
2274 2311 2325 2315 2283
2278 2313 2325 2313 2278
2283 2315 2324 2310 2273
2287 2317 2324 2308 2269
2291 2319 2324 2305 2263
2295 2321 2323 2302 2258
12.0 1 2 3 4
-2252 -2184 -2095 -1986 -1858
2247 2176 2085 1974 1844
2241 2168 2075 1962 1830
2234 2160 2064 1949 1816
2228 2151 2054 1937 1802
2221 2142 2043 1924 1787
2214 2133 2032 1911 1772
2207 2124 2021 1898 1758
2200 2115 2009 1885 1743
2192 2105 1998 1871 1727
t
-1712 -1375 -1187 -0989
1697 1534 1357 1168 0968
1681 1517 1338 1148 0948
1665 1499 1320 1129 0927
1649 1482 1301 1109 0907
1633 1464 1282 1089 0886
1617 1447 1264 1069 0866
1601 1429 1245 1049 0845
1584 1411 1226 1029 0824
IS67
6 7 8 9
1393 1206 1009 0803
0740 0526 0309 0090 0128
0719 0505 0287 0068 0150
0698 0483 0265 0046 0172
0676 0461 0243 0024 0193
0655 0439 0221 0002 0215
0634 0418 0199 •0019 0236
0612 0396 0177 •0041 0258
0591 0374 0156 •0063 0279
-1843
-1977 -2091
-1551
0332 0081 •0168 0413 0652
13.0 1 2 3 4
-0782
+ 0085
0761 0548 0331 0112 0107
5 6 7 8 9
0301 0512 0717 0913 1099
0322 0533 0737 0932 1117
0343 0554 0757 0951 1134
0365 0574 0777 0970 1152
0386 0595 0796 0989 1169
0407 0615 0816 1007 1187
0428 0636 0836 1026 1204
0449 0656 0855 1044 1221
0470 0677 0875 1062 1238
0491 0697 0894 1081 1255
14.0 1 2 3 4
1272 1431 1575 1703 1812
1289 1446 1589 1715 1822
1305 1461 1602 1726 1832
1321 1476 1615 1738 1842
1337 1491 1628 1749 1851
1353 1505 1641 1760 I860
1369 1520 1654 1771 1869
1385 1534 1666 1781 1878
1401 1548 1679 1792 1886
1416 1562 1691 1802 1895
5 6 7 8
1903 1974 2025 2056 4 2065
1911 1980 2029 2058 2065
1919 1986 2033 2059 2065
1926 1992 2036 2061 2064
1934 1997 2040 2062 2064
1941 2002 2043 2063 2063
1948 2007 2046 2064 2061
1955 2012 2049 2065 2060
1962 2017 2051 2065 2058
1968 2021 2054 2065 2057
'
-0569 -0352
-0134
For x > 15
Y,(r)
-
\j-2- [sin (x
^.
-
-J - — 0.7979
cos
(i -
M J.
0.7854
error < 0.0001
mathematical tables
Sec. 1-2] Table 10.
r
Bessel Functions: Y0(x) and Y,(x).
(Continued)
0
1
2
3
4
5
6
7
8
+ 0.2490 2508 2502 2471 2416
2493 2509 2500 2466 2409
2496 2509 2498 2462 2402
2498 2509 2495 2457 2394
2500 2509 2492 2451 2387
2502 2508 2489 2446 2379
2504 2507 2486 2440 2371
2506 2506 2483 2435 2363
2507 2505 2479 2428 2355
2508 2504 2475 2422 2346
2337 2236 2114 1973 1813
2328 2225 2101 1958 1796
2319 2214 2088 1942 1779
2309 2202 2074 1927 1762
2299 2190 2060 1911 1745
2289 2178 2046 1895 1727
2279 2166 2032 1879 1709
2269 2153 2017 1863 1692
2258 2140 2003 1846 1674
2247 2128 1988 1830 1655
1637 1446 1243 1029 0807
1619 1427 1222 1008 0785
1600 1407 1201 0986 0762
1581 1387 1180 0964 0740
1562 1366 1159 0941 0717
1543 1346 1137 0919 0694
1524 1326 1116 0897 0671
1505 1305 1095 0875 0648
I486 1285 1073 0852 0625
1466 1264 1051 0830 0602
0579 0348 0114
-0118 -0347
0556 0324 0091 0141 0370
0533 0301 0068 0164 0392
0510 0278 0045 0187 0415
0487 0254 0021 0210 0437
0464 0231 •0002 0233 0460
0441 0208 *0025 0256 0482
0417 0184 •0048 0279 0505
0394 0161 •0072 0302 0527
0371 0138 •0095 0324 0549
-0571 -0787 -0994 -1189 -1371
0593 0809 1014 1208 1389
0615 0830 1034 1227 1406
0637 0851 1054 1246 1423
0659 0871 1074 1264 1440
0681 0892 1093 1282 1457
0702 0913 1113 1300 1474
0723 0933 1132 1318 1490
0745 0954 1151 1336 1506
0766 0974 1171 1354 IS22
-1538 -1689 -1821 -1935 -2028
1554 1703 1834 1945 2036
1570 1717 1846 1955 2044
1585 1730 1857 1965 2052
1601 1744 1869 1975 2060
1616 1757 1880 1984 2067
1631 1771 1892 1993 2074
1645 1783 1903 2002 2081
1660 1796 1914 2011 2088
1675 1809 1924 2020 2095
-2101 -2152 -2182 -2190 -2176
2107 2156 2183 2189 2173
2113 2160 2185 2188 2170
2118 2163 2186 2188 2167
2124 2167 2187 2187 2164
2129 2170 2188 2185 2161
2134 2172 2189 2184 2157
2139 2175 2189 2182 2153
2144 2178 2190 2180 2149
2148 2180 2190 2178 2145
-2140 -2084
2136 2077 1999 1901 1785
2131 2070 1990 1890 1773
2126 2063 1981 1879 1760
2120 2056 1971 1868 1747
2115 2048 1962 1857 1734
2109 2040 1952 1845 1721
2103 2032 1942 1834 1707
2097 2024 1932 1822 1694
2090 2016 1922 1810 1680
-1666 -1520 -1359 -1186
1652 1504 1342 1168 0984
1638 1489 1325 1150 0965
1624 1473 1308 1132 0946
1610 1457 1291 1114 0927
1595 1441 1274 1096 0907
1580 1425 1257 1077 0888
1565 1409 1239 1059 0869
1550 1392 1222 1040 0849
1535 1376 1204 1021 0830
5 -0810 6 1 -0612 7 -0408 8 -0202
0791 0591 0387 0181 0026
0771 0571 0367 0160 0047
0751 0551 0346 0140 0067
0732 0531 0326 0119 0088
0712 0510 0305 0098 0108
0692 0490 0284 0077 0129
0672 0469 0264 0057 0149
0652 0449 0243 0036 0170
0632 0428 0222 0015 0190
10.0
II 0 1
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
1-105
12 0 1 2
13.0 1
-
2007
-1912 -1798 U 0
<
- 1003
+ 0005
Fori
> 15
™ - \S [■'■(■-
7)
+
0.7979
e~(-t)]2.3562
error < 0.0001
9
GENERAL DATA
1-106 Table 11.
Bessel Functions: /o(z) and
1
Ii(x)
0
1
2
3
4
5
6
7
8
9
1 2 3 4
1.000 1.003 1 OKI 1.023 1.040
1 000 1.003 1.024 1.042
1.000 1.004 1.012 1.026 1.045
1 000 1 004 1.013 1.027 1.047
1.000 1.005 1.014 1.029 1.049
1 001 1.006 1.016 1.031 1.051
1. 001 1.006 1.017 1.033 1.054
1.001 1.007 1.018 1.035 1.056
1.002 1.008 1.020 1.036 1.058
1.002 1.009 1.021 1.038 1.061
5 6 7 8 9
1.063 1.092 1.126 1. 167 1.213
1.066 1.095 1.130 1.171 1.218
1.069 1.098 1.134 1.175 1.223
1.071 1.102 1. 138 1. 180 1.228
1.074 1.105 1.142 1.184 1.233
1.077 1 108 1.146 1.189 1 239
1.080 1.112 1.150 1.194 1.244
1.083 1.115 1. 154 1. 198 1.249
1.086 1.119 1.158 1.203 1.255
1.089 1.123 1. 162 1.208 1.260
1 2 3 4
1.266 1.326 1.394 1.469 1.553
1.272 1.333 1.401 1.477 1.562
1.278 1.339 1.408 1.485 1.571
1.283 1.346 1.416 1.494 1 580
1.289 1.352 1.423 1.502 1.590
1.295 1.359 1 430 1.510 1.599
1.301 1.366 1.436 1.519 1.608
1.307 1.373 1.446 1.527 1.618
1.314 1.380 1.454 1.536 1.627
1.320 1.387 1.461 1.545 1.637
5 6 7 8 9
1.647 1.750 1.864 1.990 2.128
1.657 1.761 1.876 2.003 2.142
1.667 1.772 1.888
1.687 1.794 1.913 2.043 2. 187
1.697 1.806 1.925 2.057
2.202
1.707 1.817 1.938 2.071 2.217
1.718 1.829 1.951 2.085 2.233
1.728 1.840 1.963 2.099
2.157
1.677 1.783 1.900 2.030 2. 172
1.739 1.852 1.976 2.113 2.264
2.280
2.296 2.464 2.648
2 312
2.328
2.344 2.517 2.707 2.915 3.143
2.361
2.378 2.554 2.747 2.959 3. 191
2.395 2.573 2.768 2.981 3.215
2.412
2.536
3.445 3.723
3.472 3.752
4.028 4.361 4.725
4.396
X
0.0
1.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Bessel Functions: h(x) and
1-107
3.127 3.422 3.745
ll-
2.196
2.022 2.216
2.405
2.427
1.698 1.862 2.041 2.236 2.449
2.633 2.883 3.155 3.453 3.779
2.657 2.909 3. 184
2.682 2.935 3.213
3.485 3.813
3.516 3.848
4.173
4.211
4.567 4.997
3.242 3.548
2.277 2.494
3.883
3.918
4.608
4.249 4.650
4.287 4.692
5.043 5.519
5.088
5.569
5.134 5.619 6. 150
6.040
6.095
6.732
9.497
6.671 7.302 7.994 8.753 9.584
10.31 11.29 12.36 13.54 14.84
10.40 11.39 12.48 13.67 14.97
10.50 11.49 12.59 13.79 15.11
10.59 11.60 12.71 13.92 15.25
16.11 17.65 19.35 21.20 23.24
16.26 17.81 19.52 21.40 23.46
16.41 17.98 19.70 21.60 23.67
16.56 18.14 19.88 21.80 23.89
16.71 18.31 20.07 22.00 24.11
25.48
25.72
25.95
26.19
26.44
7.780
II.
I'
■+ ■ 2'- 2!3! 112!
6.611 7.237 7.922 8.674
7.369
8.067 8.832 9.671
1-108
GENERAL DATA Table 11.
X
0
5.0 1 2 3 4 5 6 7 8 9
32.58 35.65 39.01
42.69
27.48
30.06 32.88 35.97 39.36 43.08
46.74
47.16
51.17
51.64 56.55
27.73 30.33 33.17
27.98
28.23
28.49
30.60
30.88
33.47
33.78
36.30 39.72
36.62 40.08
36.96 40.44
31.15 34.08 37.29
43.47 47.59 52.11
43.87
44.27
48.03
52.59
48.46
49.35 54.04
58.65 64.24
64.83
63.65
68.47 75.02
69.10 75.71 82.97 90.93
84.50
96.96
81.46 89.28 97.86
5 6 7 8 9
106.3 116.5 127.8 140.1 153.7
7.0
28.74 31.43 34.39 37.63
44.67 48.90 53.55
45.08
59. 18
7
29.00
31.72 34.70 37.97 41.55
45.49 49.80 54.53
8
29.26 32.00 35.01 38.31 41.93 45.90 50.25 55.03
9
29.52 32.29 35.33
38.66 42.31
46.32 50.71 55.53
59.72 65.42
60.27 66.02
60.82 66.62 72.99
71.02 77.82 85.28 93.47
71.67 78.53
72.33
86.06 94.33
86.85
87.65
95.20
96.08
102.5
103.4
104.4
105.3
98.76
99.67
69.73 76.41 83.73 91.77 100.6
107.3 117.6 129.0 141.4 155.1
108.3 118. 7 130.2 142.7 156.6
109.3 119.8 131.4 144.1 158.0
110.3 120.9 132.6 145.4 159.5
111.3 122.0 133.8 146.8 161.0
112.3 123.2 135.1 148. 1 162.5
113.4 124.3 136.3 149.5 164.0
114.4 125.5 137.6 150.9 165.5
115.5 126.6 138.8 152.3 167.0
168.6 185.0
170.2 186.7
173.3 190.2
204.8 224.7 246.6
176.6 193.7 212.6 233.2 256.0
178.2 195.5 214.5 235.4
179.9 197.4 216.5
222.7 244.3
175.0 191.9 210.6 231.1 253.6
181 6 199.2
202.9
171.7 188.4 206.7 226.8
183.2 201.0 220.6 242.1
268.2
270.7 297.1 326.1
278.3
280.9 308.4 338.5
283.6 311.3 341.7
88.46
294.3 323.1
354.7 389.4 427.6 469.5
358.0 393.1
431.6 473.9 520.4 571.6 627.8
82.21
90.10
248.9 273.2
299.9 329.2 361.4 396.8 435.6 478.4
208.6 229.0 251.3
275.8 302.7 332.3
364.8 400.5
305.5 335.4 368.2 404.2
525.3
439.7 482.9 530.3
577.0 633.7
582.4 639.7
696.1 764.7 840.1
702.7 771.9 848.0
779.2
923.0
931.7
1005
1014
1094 1202 1321 1451 1595
1104 1213 1333 1465 1610
1753 1927 2119 2329 2561 2816
1 2 3 4
621.9
5 6 7 8 9
683.2 750.5 824.4 905.8 995.2
689.6 757.5 832.2 914.4
9.0 I 2 3 •t 5 6 7 8 9
515.6 566.3
443.9
487.4 535.3 587.9
645.7
70.37 77.11 92.61 101.5
371.6
258.4
375.1
408.0
411.9
448.0 492.0 540.3
452.2 496.6 545.4 599.0 658.0
593.4 651.8
1
(Continued)
6
41.18
57.59
57.07
Ii(x).
40.81
63.08
74.34
10.0
5
62.51
67.85
8.0
4
61.94
56.04
73.66 80.72
5 6 7 8 9
3
and
61.38 67.23
1 2 3 4
2
h(x)
53.06 58.11
1 2 3 4
6.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
27.24 29 79
1
Bessel Functions:
[Sec.
286.2
314.2 344.9 378.6 415.7 456.5 501.3 550.6
604.7 664.2
218.6 239.8
79.98
263.2
265.7
288.9 317.1 348.1
320. 1
291.6
382.2 419.6
351.4 385.8 423.6
460.8
465.1
506.0
510.8 561.0
555.7 610.4 670.5
616.1
676.8
940.6
716.0 786.6 864.2 949.5
958.4
729.6 801.5 880.6 967.5
1024
1033
1043
1053
1063
976.7 1073
1114 1225 1346 1479 1626
1125 1236 1359 1493 1641
1136 1248 1371 1507 1657
1146 1260 1384 1522 1673
1157 1272 1398 1536 1688
1168 1284 1411 1551 1704
1179 1296 1424 1565 1721
1190 1308 1438 1580 1737
1770 1946 2139 2352 2585
1787 1964 2159 2374 2610
1804 1983 2180 2397 2635
1821 2002 2201 2419 2660
1838 2021 2222 2442 2685
1856 2040 2243 2466 2711
1874 2060 2264 2489 2737
1891 2079 2286 2513 2763
1909 2099 2307 2537 2789
2843
2870
2897
2925
2952
2981
3009
3038
3067
For larger values uf the argument,
709.3 856.1
722.8 794.0
237.6 260.8
79.25
872.3
use tin* auxiliary functions. Table 13.
736.5 809. 1
888.9
743.4 816.7 897.3 985.9 1083
mathematical tables
Sec. 1-2] Table
Bessel Functions: 7o(i) and I\{x).
.'
0
1
2
3
S 0 1 2 3 4
24.34 26.68 29.25 32.08 35.18
24.56
24.79 27.18 29.80
25.02
25.25
27.43
27.68
35.51
s 6 7 8 9
38.59 42.33 46.44 50.95 55.90 61.34 67.32 73.89
i.O 1 2 3 4 5 6 7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
11.
7.0 1 2 3 4 5 6 7 3 J
26.93
32.68 35.84
36.51
38.95 42.72 46.87 51.42 56.42
39.31 43. 12 47.30 51.90 56.95
39.67 43.52 47.74 52.38 57.48
40.04 43.93 48.19 52.87 58.02
61.91
62.49 68.58
63.08 69.22 75.98 83.40 91.55
63.67 69.87
89.03
67.95 74.58 81.86 89.86
97.74
98.65
99.58
107.3
142.1
108.3 118.9 130.6 143.4
109.3 120.0 131.8 144.8
156.0 171.4 188.3
157.5 173.0 190.0
159.0 174.6 191.8 210.7 231.5
81. 10
117.8 129.4
296.8 227.2
208.7 229.3
249.6 274.2 301.3
251.9 276.8 304.2 334.2
331. 1 363 9
4
30.07 32.98 36.17
29.53 32.38
367.3
1-109
30.35
33.29
(Continued)
5
6
25.48
25.72 28.20 30.92
27.94
30.63 33.59 36.85 40.41 44.33
48.64 53.37 58.56 64.26 70.53 77.41
33.91
37.19 40.79 44.75 49.09 53.86 59. 10
64.86 71.18
7
8
9
25.95
26. 19 28.72
26.44
31.49 34.54 37.88
31.79 34.86
41.55 45.58
41.94
50.01 54.87 60.21
50.48 55.38 60.77
66.08 72.52
66.70 73.20
79.60
28.46 31.20 34.22 37.53 41. 17
45.16 49.55 54.36 59.66 65.47 71.85
38.23
46.01
92.41
84.97 93.28
85.77 94.15
78.86 86.57 95.04
87.38 95.93
80.35 88.20 96.83
100.5 110.4 121.2 133.1 146.1
101.5 4 122.3 134.3 147.5
102.4 112.4 123.5 135.6 148.9
103.4 113.5 124.6 136.9 150.3
104.3 114.6 125.8 138.1 151.7
105.3 115.6 127.0 139.4 153.1
106.3 116.7 128.2 140.8 154.6
160.5 176.3 193.6
163.5 179.6 197.3
165.1 181.3 199.2
166.6 183.0 201.0
168.2 184.7 202.9
169.8 186.5
212.7 233.7
162.0 177.9 195.5 214.7 235.9
216.7
218.8
222.9
238.1
240.4
220.9 242.6
244.9
204.9 225.0 247.2
254.3 279.4
256.7
259.2
261.6
264.1
266.6
269.1
271.7
282.1
284.8
287.4
307.0 337.4 370.8
310.0
315.9
340.6 374.3
312.9 343.8 377.9
347.1
324.9 357.1
381.4
328.0 360.4
385.1
321.9 353.7 388.7
415.3
419.2
423.2
460.7 506.4 556.7
465.1
511.2 562.0 617.8
427.2 469.5
431.3 474.0
516.1
521.0
567.3 623.6
572.7 629.6
679.1
685.6
692. 1 760.9
75.27 82.63 90.70
76.69
84.18
III.
8.0 I 2 3 4
399.9 439.5 483.0 531.0 583.7
403.7 443.7 487.6 536.0 589.2
407.5 447.9 492.3 541.1
411.4
594.8
600.5
5 8 7 8 9
641.6
647.7
653.9
705 4
712.1
718.9
666.4 732.6
775.5 852.7 937.5
782.9 860 .8 946.5
790.4
660.1 725.7 797.9
805.5
672.7 739.6 813.2
955.5
877.3 964.6
885.6 973.8
894.1 983.1
».o 1 2 3 4
1031 1134 1247 1371 1508
1041 1144 1259 1384 1522
1051 1155 1271 1397 1537
1061 1166 1283 1411 1552
1071 1178 1295 1424 1566
1081 1189 1307 1438 1581
5 6 7 8 1
1658 1824 2006 2207 2428
1674 1842 2026 2228 2451
1690 1859 2045 2250 2475
1707 1877 2065 2271 2498
1723 1895 2084 2293 2522
10 0
2671
2697
2722
2749
2775
869.0
452.1
496.9 546.2
456.4 501.7
551.4 606.2
611.9
78.13
290.2 318.8 350.4
746.7 820.9 902.6 992.5
295.7
292.9
392.4
753.8 828.7
values of the argument,
298.5
396.1
435.4 478.5
526.0 578.2 635.6 698.7 768.2 844.6
911.2
836.6 919.9
928.7
1002
1012
1021
1091 1200 1320 1452 1596
1102 1212 1332 1465 1612
1112 1223 1345 1479 1627
1123 1235 1358 1494 1643
1739 1913 2104 2315 2547
1756 1931 2125 2337 2571
1773 1950 2145 2359 2596
1790 1969 2165 2382 2621
1807 1987 2186 2405 2646
2802
2828
2856
2883
2911
i For larger
28.99
use the auxiliary functions, Tabic
13
GENERAL DATA
1-110 Table 12.
0
X
1
Ku(x) and K,(x)
Bessel Functions:
2
3
4
5
6
7
8
9
DO 2.427 1.753 1.372 1. IIS
4.721 2.333 1.706 1.342 1.093
4.028 2.248 1.662 1.314 1.072
3.624
1 2 3 4
2. 170 1.620 1.286 1.052
3.337 2.097 1.580 1.259 1.032
3. 114 2.030 1.542 1.233 1.013
2.933 1.967 1.505 1.208 0.9943
2.780 1.909 1.470 1. 183 9761
2.647 1.854 1.436 1. 160 9584
2.531 1.802 1.404 1.137 9412
5 6 7 8 9
0.9244 7775 6605 5653 4867
9081 7646 6501 5568 4796
8921 7520 6399 5484 4727
8766 7397 6300 5402 4658
8614 7277 6202 5321 4591
8466 7159 6106 5242 4524
8321 7043 6012 5165 4459
8180 6930 5920 5088 4396
8042 6820 5829 5013 4333
7907 6711 5740 4940 4271
1.0 1 2 3 4
4210 3656 3185 2782 2437
4151 3605 3142 2746 2405
4092 3556 3100 2709 2373
4034 3507 3058 2673 2342
3977 3459 3017 2638 2312
3922 3411 2976 2603 2282
3867 3365 2936 2569 2252
3813 3319 2897 2535 2223
3760 3273 2858 2502 2194
3707 3229 2820 2469 2166
$ 6 7 8 9
2138 1880 1655 1459 1288
2111 1856 1634 1441 1273
2083 1832 1614 1423 1257
2057 1809 1593 1406 1242
2030 1786 1573 1388 1226
2004 1763 1554 1371 1211
1979 1741 1534 1354 1196
1953 1719 1515 1337 1182
1928 1697 1496 1321 1167
1904 1676 1478 1305 1153
2.0 1 2 3 4
1139 1008 0.08927 7914 7022
1125 •9956 8820 7820 6939
•9836 8714 7726 6856
1098 •9717 8609 7634 6775
1084 *9600 8506 7544 6695
1071 •9484 8404 7454 6616
1058 •9370 8304 7365 6538
1045 •9257 8204 7278 6461
1033 •9145 8106 7191 6384
1020 •9035 8010 7106 6309
5 6 7 8 9
6235 5540 4926 4382 3901
6161 5475 4868 4331 3856
6089 541 1 481 1 4281 3811
6017 5348 4755 4231 3767
5946 5285 4700 4182 3724
5877 5223 4645 4134 3681
5808 5162 4592 4086 3638
5739 5102 4538 4039 3597
5672 5042 4485 3992 3555
5606 4984 4433 3946 3514
3.0 1 2 3 4
3474 3095 2759 2461 2196
3434 3060 2728 2433 2171
3395 3025 2697 2405 2146
3356 2990 2666 2378 2122
3317 2956 2636 2351 2098
3279 2922 2606 2325 2074
3241 2889 2576 2298 2051
3204 2856 2547 2272 2028
3168 2824 2518 2246 2005
3131 2791 2489 2221 1982
> 6 7 8 9
I960 1750 1563 1397 1248
1938 1730 1546 1381 1234
1916 1711 1528 1366 1221
1894 1692 1511 1350 1207
1873 1673 1494 1335 1194
1852 1654 1477 1320 1180
1831 1635 1461 1306 1167
1810 1617 1445 1291 1154
1790 1599 1428 1277 1141
1770 1581 1412 1262 1129
I 2 3 4
1116 0.009980 8927 7988 7149
1104 9869 8829 7900 7070
1091 9760 8731 7813 6992
1079 9652 8634 7726 6915
1067 9545 8539 7641 6839
1055 9439 8444 7557 6764
1044 9334 8351 7473 6689
1032 9231 8259 7391 6616
1021 9128 8167 7309 6543
1009 9027 8077 7229 6471
S 6 7 1 9
6400 5730 5132 4597 4119
6329 5668 5076 4547 4074
6260 5605 5020 4497 4030
6191 5544 4965 4448 3986
6123 5483 4911 4399 3942
6056 5423 4857 4351 3899
5989 5363 4804 4304 3857
5923 5305 4751 4257 3814
5858 5246 4699 4210 3773
5794 5189 4648 4164 3732
3691
3631
3611
3572
3533
3494
3456
3419
3382
3345
0.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
1
[Sec.
4.0
5.0
llll
A''oU)
-
-£i(>)
mathematical tables
Sec. 1-2] Table 12.
X
1 0 1
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
: o
7
8
9
19.91
16.56
6.477 3.747
6.053 3.588 2.476
14.17 5.678
12.37 5.345
3.440
3.303
5.046
2.323 1.745
2.252
1.840
2.397 1.792
1.464 1.167 9496 7847 6560
1.429 1.142 9311 7704 6447
1.396 1. 118 9130 7564 6336
1.364 1.095 8955 7428 6228
1.333 1.072 8784 7295 6122
5627 4779 4084 3508 3026
5534 4703 4021 3455 2982
5443 4629 3960 3404 2939
5354 4556 3900 3354 2897
5267 4485 3841 3305 2855
5181 4415 3782 3256 2814
2657 2307 2009 1754 1534
2620 2275 1982 1730 1514
2583 2244 1955 1707 1494
2546 2213 1928 1684 1474
2510 2182 1902 1662 1455
2475 2152 1876 1640 1436
2440 2123 1851 1618 1417
1362 1196 1052 9261 8165
1345 1181 1038 9144 8063
1327 1166 1025 9029 7963
1310 1151 1012 8916 7864
1293 1136 •9993 8804 7767
1276 1121 •9867 8694 7670
1260 1107 •9742 8586 7575
1244 1093 •9620 8478 7482
7298 6448 5704 5050 4474
7208 6369 5634 4989 4421
7119 6292 5566 4929 4368
7031 6215 5498 4869 4316
6945 6139 5432 4811 4264
6859 6064 5366 4753 4213
6775 5990 5301 4696 4163
6692 5917 5237 4639 4113
6609 5845 5174 4584 4064
2812 2500
3968 3521 3127 2779 2471
3921 3480 3090 2746 2442
3874 3438 3054 2714 2414
3828 3398 3018 2682 2385
3782 3358 2983 2651 2358
3738 3318 2948 2620 2330
3693 3279 2913 2589 2303
3649 3240 2879 2559 2276
3606 3202 2845 2529 2250
2224 1979 1763 1571 1400
2198 1957 1743 1553 1384
2173 1934 1722 1535 1368
2147 1912 1703 1517 1353
2123 1890 1683 1500 1337
2098 1868 1664 1483 1322
2074 1846 1645 1466 1307
2050 1825 1626 1449 1292
2026 1804 1607 1432 1277
2003 1783 1589 1416 1263
1248 1114 8872 7923
1234 1101 9826 8772 7834
1220 1089 9715 8674 7746
1206 1076 9605 8576 7659
1193 1064 9497 8479 7573
1179 1052 9390 8384 7488
1166 1040 9284 8290 7404
1152 1028 9179 8196 7321
1139 1017 9076 8104 7239
1126 10052 8973 8013 7158
7078 6325 5654 5055 4521
6999 6254 5591 4999 4471
6920 6185 5529 4943 4421
6843 6116 5467 4889 4372
6766 6047 5406 4834 4324
6691 5980 5346 4781 4276
6616 5913 5286 4727 4229
6542 5847 5228 4675 4182
6469 5782 5169 4623 4136
6397 5717 5112 4572 4090
4045
4000
3956
3912
3869
3826
3784
3742
3700
3660
2
3
4
5
m
9.854 4.776 3.056
99.97 8.935 4.532 2.944
33.27 7.519
24.92 6.962 3.919
2. 184
2. 120
49.95 8. 169 4.309 2.839 2.059
2.647 1.945
2.559 1.892
1.656
7165
1.615 1.274 1.029 8456 7039
1.575 1.246 1.008 8298 6915
1.536 1.219 9882 8144 6794
1.499 1.192 9686 7993 6675
6019 5098 4346 3725 3208
5918 5016 4279 3670 3161
5819 4935 4212 3615 3115
5722 4856 4147 3561 3070
2774 2406 2094 !>-26 1597
2734 2373 2065 1802 1575
2695 2340 2037 1777 1555
1399 1227 1079 8372
1380 1212 1065 9379 8268
7389 6528 5774 5111 4529 4016 3563
0.09498
3.0
3164
4.0 1
0.009938
t.l
(Continued)
6
1
1.050 0.8618
8
Bessel Functions: Kn(x) and A',(r).
0
1 303
0
1-111
4. 106 2.740 2.001
Jti(x)
-
-K'.(x)
10.97 3.175 1.700
GENERAL
1-112 Table 12.
DATA
[Sec.
Bessel Functions: K0(x) and Ki(x).
1
(.Continued)
JCo(x)
*
1
0
3
4
5
6
7
8
9
1 2 3 4
0.003691 3308 2966 2659 2385
3651 3272 2934 2630 2359
3611 3237 2902 2602 2333
3572 3202 2870 2574 2308
3533 3167 2839 2546 2283
3494 3132 2808 2518 2258
3456 3098 2778 2491 2234
3419 3065 2748 2464 2210
3382 3031 2718 2437 2186
3345 2998 2688 2411 2162
5 6 7 8 9
2139 1918 1721 1544 1386
2116 1898 1703 1528 1371
2093 1877 1684 1511 1356
2070 1857 1666 1495 1342
2048 1837 1648 1479 1327
2026 1817 1630 1463 1313
2004 1798 1613 1447 1299
1982 1778 1595 1432 1285
1961 1759 1578 1416 1271
1939 1740 1561 1401 1258
1244 1117 1 2 1002 3 0.0009001 8083 4
1231 1105 •9918 8905 7997
1217 1093
8810 7911
1204 1081 •9706 8715 7827
1191 1070 •9602 8622 7743
1179 1058 •9499 8530 7660
1166 1047 ♦9398 8438 7578
1153 1035 •9297 8348 7497
1141 1024 •9197 8259 7417
1129 1013 •9099 8171 7338
5 6 7 8 9
7259 6520 5857 5262 4728
7182 6451 5795 5206 4677
7105 6382 5733 5150 4627
7029 6314 5672 5095 4578
6954 6246 5611 5041 4529
6880 6180 5551 4987 4481
6806 6114 5492 4934 4434
6734 6048 5434 4882 4386
6662 5984 5376 4830 4340
6591 5920 5318 4778 4294
7.0 1 2 3 4
4248 3817 3431 3084 2772
4203 3777 3394 3051 2742
4158 3737 3358 3019 2713
4114 3697 3323 2987 2685
4070 3658 3287 2955 2656
4027 3619 3253 2924 2628
3984 3580 3218 2893 2600
3942 3542 3184 2862 2573
3900 3505 3150 2832 2545
3858 3468 3117 2802 2518
5 6 7 8 9
2492 2240 2014 1811 1629
2465 2216 1993 1792 1611
2439 2193 1972 1773 1594
2413 2170 1951 1754 1578
2388 2147 1930 1736 1561
2363 2124 1910 1717 1545
2338 2102 1890 1699 1528
2313 2079 1870 1681 1512
2288 2057 1850 1664 1496
2264 2036 1830 1646 1480
1465 1317 1 1185 2 3 1066 4 .00009588
1449 1303 1172 1055 9487
1434 1290 1160 1043 9387
1419 1276 1148 1032 9288
1404 1263 1136 1022 9191
1389 1249 1124 1011 9094
1374 1236 1112 10002 8998
1360 1223 1100 •9897 8904
1346 1210 1089 •9793 8810
1331 1198 1077 •9690 8717
5 6 7 8 9
8626 7761 6983 6283 5654
8535 7679 6909 6217 5595
8445 7598 6837 6152 5536
8356 7519 6765 6088 5478
8269 7439 6694 6024 5420
8182 7361 6624 5961 5364
8096 7284 6554 5898 5307
8011 7208 6485 5836 5252
7926 7132 6417 5775 5197
7843 7057 6350 5714 5142
9.0 1 2 5 4
5088 4579 4121 3710 3339
5035 4531 4078 3671 3304
4982 4484 4036 3632 3270
4930 4437 3993 3594 3235
4878 4390 3951 3557 3202
4827 4344 3910 3519 3168
4776 4299 3869 3483 3135
4726 4254 3829 3446 3102
4677 4209 3789 3410 3070
4628 4165 3749 3374 3038
5 6 7 8 9
3006 2706 2436 2193 1975
2974 2678 2411 2170 1954
2943 2650 2385 2148 1934
2912 2622 2360 2125 1913
2882 2595 2336 2103 1894
2852 2567 2311 2081 1874
2822 2541 2287 2059 1854
2793 2514 2263 2038 1835
2763 2488 2240 2017 1816
2734 2462 2216 1995 1797
1778
1759
1741
1723
1705
1687
1670
1652
1635
1618
5.0
6.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
2
8.0
10.0
»98ll
For larger values of the argument,
use the auxiliary functions, Table 13.
mathematical tables
Sec. 1-2] Table 12.
Bessel Functions:
A". >(x)
and
A",
1-113
(x).
(Continued)
KiUO
I
1
2
3
4
5
6
7
8
4000 3579 3204 2868 2568
3956 3540 3168 2836 2540
3912 3501 3133 2805 2512
3869 3462 3099 2774 2485
3826 3424 3065 2744 2457
3784 3386 3031 2714 2430
3742 3349 2998 2684 2404
3700 3312 2965 2655 2377
3660 3275 2932 2625 2351
2326 2083 1866 1673 1499
2300 2060 1846 1654 1483
2275 2038 1826 1636 1467
2250 2016 1806 1619 1451
2225 1994 1786 1601 1435
2201 1972 1767 1584 1419
2177 1950 1748 1566 1404
2153 1929 1729 1549 1389
2130 1908 1710 1532 1374
2106 1887 1691 1516 1359
6 0 1344 1 1205 2 1081 3 0.0009691 4 8693
1329 1192 1069 9586 8599
1315 1179 1057 9483 8506
1301 1166 1046 9380 8414
1286 1154 1034 9279 8324
1273 1141 1023 9178 8234
1259 1129 1012 9079 8145
1245 1116 1001 8981 8057
1232 1104 •9904 8884 7970
1218 1092 •9797 8788 7884
0
5.0 0.004045 1 3619 3239 2 2900 3 4 2597
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
5 t> 7 3 9
9
5 6 7 6 9
7799 6998 6280 5636 5059
7715 6922 6212 5576 5005
7632 6848 6145 5516 4951
7549 6774 6079 5456 4898
7468 6701 6014 5398 4845
7387 6629 5949 5340 4793
7308 6558 5885 5282 4742
7229 6487 5822 5226 4691
7151 6417 5759 5170 4641
7074 6348 5697 5114 4591
7 0 1 2 3 4
4542 4078 3662 3288 2953
4493 4034 3623 3253 2922
4445 3991 3584 3219 2891
4397 3948 3545 3184 2860
4350 3906 3508 3150 2829
4304 3864 3470 3116 2799
4257 3823 3433 3083 2769
4212 3782 3396 3050 2740
4167 3741 3360 3018 2710
4122 3701 3324 2985 2682
5 6 7 8 9
2653 2383 2141 1924 1729
2625 2358 2118 1903 1710
2597 2333 2096 1883 1692
2569 2308 2074 1863 1674
2542 2283 2051 1843 1656
2514 2259 2030 1824 1639
2488 2235 2008 1804 1621
2461 2211 1987 1785 1604
2435 2188 1966 1766 1587
2409 2164 1945 1747 1570
».0 1 2 3 4
1554 1396 1255 1128 1014
1537 1382 1242 1116 10036
1521 1367 1229 1105 *9930
1505 1352 1216 1093 *9825
1489 1338 1203 1081 •9721
1473 1324 1190 1070 •9618
1457 1310 1177 1058
«95I6
1442 1296 1165 1047 •9415
1427 1282 1153 1036 •9316
1411 1269 1140 1025 •9217
5 .00009120 6 8200 7 7374 8 6631 9 5964
9023 8113 7296 6561 5901
8928 8028 7219 6492 5838
8833 7943 7142 6423 5777
8740 7859 7067 6355 5716
8648 7776 6992 6288 5656
8556 7694 6918 6222 5596
8466 7612 6845 6156 5537
8376 7532 6773 6091 5479
8288 7452 6702 6027 5421
<
1 2 3 4
5364 4825 4340 3904 3512
5307 4774 4294 3863 3476
5251 4723 4249 3822 3439
5196 4674 4204 3782 3403
5141 4624 4160 3742 3367
5087 4576 4116 3703 3332
5033 4528 4073 3664 3297
4980 4480 4030 3626 3262
4928 4433 3988 3587 3228
4876 4386 3946 3550 3194
5 6 7 8 9
3160 2843 2559 2302 2072
3127 2814 2532 2278 2050
3094 2784 2505 2254 2029
3062 2755 2479 2231 2008
3029 2726 2453 2207 1987
2998 2697 2427 2184 1966
2966 2669 2402 2161 1945
2935 2641 2377 2139 1925
2904 2613 2352 2116 1905
2874 2586 2327 2094 1885
10.0
1865
1845
1826
1807
1788
1769
1751
1732
1714
1696
For larger values of the argument,
use the auxiliary functions. Tabic
13.
GENERAL DATA
1-114 Table 13.
Bessel Functions
:
[Sec.
1
Auxiliary Functions
Auxiliary Functions Yo(x) and Yi(x) for Small Values of Argument For small values of the argument, Fo(-z) and Yi(x) are rapidly changing functions and linear inter polation is inaccurate. These tables of auxiliary functions can be used to give accurate interpolated For values of the argument above 0. 1 the main tables arc satisfactory if interpolation formulas values. are used.
KoU) = Co + Do log x Yi(x) (Ci/x) +Z>ilogx
-
Co
0.0
0
1
2
3
4
5
6
7
8
9
-0.0738
0738 0717 0660 0569 0444
0737 0713 0652 0558 0430
0736 0708 0645 0547 0415
0735 0703 0636 0535 0400
0734 0698 0628 0523 0385
0732 0693 0619 051 1 0369
0729 0687 0609 0498 0353
0727 0681 0600 0485 0337
0724 0674 0590 0472 0321
-0720 -0667 -0579
1 2 3 4
-0458
Do
0.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
I 2 3 4
0
1
2
3
4
5
6
7
8
9
1.4659 1.4622 1.4512 1.4331 1. 4078
4658 4614 4498 4309 4049
4657 4606 4482 4286 4019
4655 4597 4465 4262 3989
4653 4587 4448 4238 3958
4650 4576 4431 4213 3926
4646 4565 4412 4188 3893
4641 4553 4393 4161 3860
4635 4540 4373 4134 3826
4629 4527 4352 4107 3792
C,
0.0
0
'
2
3
4
5
t
7
8
9
-0.6366
6366 6390 6452 6550 6681
6367 6394 6460 6561 6695
6368 6399 6468 6573 6710
6369 6404 6477 6586 6726
6371 6410 6487 6598 6741
6373 6416 6496 6611 6757
6376 6422 6506 6624 6773
6379 6429 6517 6638 6789
6382 6436 6527 6652 6806
0
1
2
3
4
5
6
7
8
9
0.0000 0732 1459 2174 2873
0073 0805 1531 2245 2942
0146 0878 1603 2316 301 1
0220 0951 1675 2386 3079
0293 1024 1746 2456 3148
0366 1096 1818 2526 3215
0440 1169 1890 2596 3283
0513 1241 1961 2666 3351
0586 1314 2032 2735 3418
0659 1386 2103 2804 3485
- 6386 - 6444
1 2 3 4
0.0 1 2 3 4
-6538 -6666
Auxiliary Functions Ko(x) and Ki(x) for Small Values of Argument For small values of the argument, Ko(x) and Ki(x) are rapidly changing functions and linear inter polation is inaccurate. These tables of auxiliary functions can be used to give accurate interpolated values. For values of the argument above 0. 1 the main tables are satisfactory if interpolation formulas are used.
Ko(x) = Eo + Fo log x
Ki(x)
-
(Ei/x)
+
Fi log*
Eo(x)
0.0 1 2 3 4
0
1
2
3
4
5
6
7
8
9
0. 1159 1187 1271 1412 1612
1160 1193 1283 1430 1635
1160 1200 1295 1448 1659
1162 1207 1308 1466 1684
1164 1214 1321 1485 1709
1166 1222 1335 1505 1735
1169 1231 1349 1525 1761
1173 1240 1364 1546 1788
1177 1250 1380 1567 1816
1182 1260 1396 1590 1844
Sec. 1-2]
MATHEMATICAL
Table
0 0 1 2 3 4
13.
Bessel Functions
TABLES Functions.
Auxiliary
:
1-115 (Continued)
0
1
2
3
4
5
6
7
8
9
1 0000 0.9969 9875 9716 9485
1 . 0000 9963 9863 9696 9458
9999 9955 9849 9676 9430
9997 9948 9835 9654 9401
9995 9939 9820 9633 9371
9992 9930 9804 9610 9341
9989 9921 9788 9586 9310
9985 9910 9771 9562 9278
9980 9899 9753 9537 9245
9975 9888 9735 9512 9211
F,W
0 0 1 2 3 4
0
'
2
3
4
5
6
7
8
9
-2.3026 -2.3083
3026 3096 3280 3582 4004
3028 3109 3305 3619 4053
3031 3123 3331 3657 4103
3035 3139 3359 3696 4154
3040 3156 3387 3736 4206
3047 3173 3417 3778 4260
3054 3193 3447 3821 4315
3063 3213 3479 3865 4371
3073 3234 3513 3910 4429
-2 -2
3257 3547
-2.3956
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
F,(x)
0 0 1 2 3 4
0
1
2
3
4
5
6
7
8
9
0.0000
0115 1268 2431 3612 4820
0230 1384 2548 3731 4943
0345 1500 2666 3851 5066
0461 1616 2783 3971 5189
0576 1732 2901 4092 5313
0691 1848 3019 4212 5437
0806 1964 3137 4333 5562
0922 2081 3255 4454 5687
1037 2197 3374 4576 5812
1153 2314 3493 4698
Examples
of use of auxiliary functions for small values of argument:
-
0.0715 + 1.4610 X 7.0607 Example I. 0.0715 1.4610 + 0.0887 = K«(0.II5) Linear interpolation from the direct-reading table of Ya would give the less accurate value
-
K«(0.I15)
Example
2.
-0.6392
yi
0.115 compared with the less accurate
+ 0.08415
X
1.0607
1.4438.
-1.4444
-
-5.558
-
0.084 + 0.005
-
-5.637
value of — 5.648 obtained by linear interpolation of the tablefor
Yi(z).
Auxiliary functions /o(x), /i(x). K«(s). Kttx) for large values of argument
0
1
2
3
4
5
6
7
8
9
10.0
0.1278
12.0 13 0 14 0
1217 1164 1118 1076
1272 1212 1159 1113 1072
1265 1206 1154 1109 1068
1259 1201 1150 1105 1065
1253 1195 1145 1100 1061
1247 1190 1140 1096 1057
1241 1185 1136 1092 1053
1235 1180 1131 1088 1050
1229 1174 1126 1084 1046
1223 1170 1122 1080 1043
15 0 16.0 17.0 18.0 19.0
1039 1005 0975 0950 0921
1035 1002 0972 0944 0919
1032 0999 0969 0942 0917
1029 0996 0966 0940 0914
1025 0993 0963 0937 0912
1022 0990 0961 0934 0909
1018 0987 0958 0931 0907
1015 0984 0955 0929 0905
1012 0981 0952 0926 0902
1009 0978 0950 0924 0900
20 30
0898 0731
0676 0719
0856 0708
0836 0697
0819 0687
0802 0677
0786 0667
0771 0658
0757 0649
0744 0641
no
It(x) s= tabulatt'd number X «*. For greater values of x, e~*Io(x)
(i
+
e)/ve.
GENERAL DATA
1-116 Table 13.
Bessel Functions
:
[SEC.
Auxiliary Functions.
(Continued)
«"'/i(x) 0 0. 1213 1161
3
4
5
6
7
8
9
1202 1151 1106 1066 1030
1196 1146 1102 1062 1027
1191 1142 1098 1059 1023
1186 1137 1094 1055 1020
1181 1132 1090 1051 1017
1175 1128 1086 1048 1013
1170 1123 1082 1044 1010
1165 1119 1078 1040 1007
M.O
1074 1037
1207 1156 1110 1070 1034
15.0 16.0 17 0 18.0 19.0
1004 0973 0946 0920 0897
1001 0971 0943 0918 0895
0997 0968 0941 0915 0892
0994 0965 0938 0913 0890
0991 0962 0935 0911 0888
0988 0959 0933 0908 0886
0985 0957 0930 0906 0884
0982 0954 0928 0904 0881
0979 0951 0925 0901 0879
0976 0948 0923 0899 0877
20 30
0875 0719
0855 0708
0836 0697
0818 0687
0801 0677
0786 0667
0771 0658
0757 0649
0744 0641
0731 0633
10.0 11.0 12.0 13.0
Ii(x)
HIS
™ tabulated
For greater
number
X e*. «
values of x, e~*I\(x)
1
0
Ojt/ '
N
2
3
4
5
6
7
8
9
12.0 13.0 14.0
0.3916 3738 3582 3444 3321
3897 3721 3567 3431 3309
3879 3705 3553 3418 3298
3860 3689 3539 3406 3286
3842 3673 3525 3393 3275
3824 3657 3511 3381 3264
3806 3642 3497 3368 3253
3789 3627 3484 3356 3242
3772 3612 3470 3344 3231
3755 3597 3457 3333 3221
15.0 16.0 17.0 18.0 19.0
3210 3110 3018 2934 2857
3200 3100 3009 2926 2850
3189 3091 3001 2918 2842
3179 3081 2992 2910 2835
3169 3072 2984 2903 2828
3159 3063 2975 2895 2821
3149 3054 2967 2887 2813
3139 3045 2959 2879 2806
3129 3036 2950 2872 2799
3119 3027 2942 2864 2792
20 30
2785 2279
2719 2242
2658 2207
2599 2174
2545 2142
2494 2111
2446 2082
2401 2054
2358 2027
2318 2001
10.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
2
It.O
A'o(j-) — tabulated
number
X
For greater values of x, e*Kn(x)
=
e'Kx(x) 0
1
2
3
4
5
6
7
8
9
10.0 0 12.0 13.0 14.0
0.4108 3904 3728 3574 3437
4086 3886 3712 3560 3425
4064 3867 3696 3545 3412
4043 3849 3680 3531 3399
4023 3831 3664 3518 3387
4002 3813 3649 3504 3375
3982 3796 3633 3490 3363
3962 3779 3618 3477 3351
3943 3762 3603 3464 3339
3923 3745 3589 3450 3327
15.0 16.0 17.0 18.0 19.0
3315 3205 3106 3015 2931
3304 3195 3096 3006 2923
3292 3185 3087 2997 2915
3281 3174 3077 2989 2907
3270 3164 3068 2980 2900
3259 3154 3059 2972 2892
3248 3144 3050 2964 2884
3237 3135 3041 2955 2877
3226 3125 3032 2947 2869
3216 3115 3023 2939 2862
20 30
2854 2317
2783 2278
2717 2241
2655 2206
2598 2173
2544 2141
2493 2110
2445 2081
2400 2053
2357 2026
II.
Ki(x)
= tabulated
number
For greater values of t.
X e'*.
fA'iW
m
Example of use of auxiliary functions for large values of argument: /0(25)
-
7.202 X
I0,B X 0.0802
-
5.776 X I0»
1
mathematical tables
Sec. 1-2]
Gamma and Factorial Functions: r(x)
Table 14.
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
X
1-117 = y\
0
1
2
3
4
5
6
7
8
9
1 . 0000
0.9994
9988 9932 9878 9825 9774
9983 9927 9872 9820 9769
9977 9921 9867 9815 9764
9971 9916 9862 9810 9759
9966 9910 9856 9805 9755
9960 9905 9851 9800 9750
9954 9S79 9846 9794 9745
9949 9894 9841 9789 9740
!/
1.00 1 2 3 4
o.oo i 2 3 4
0.9943 9888 9835 9784
9938 9883 9830 9779
5 6 7 8 9
5 6 7 8 9
9735 9687 9642 9597 9555
9730 9683 9637 9593 9550
9725 9678 9633 9589 9546
9721 9673 9628 9584 9542
9716 9669 9624 9580 9538
9711 9664 9619 9576 9534
9706 9660 9615 9571 9530
9702 9655 9610 9567 9526
9697 9651 9606 9563 9522
9692 9646 9602 9559 9518
1.10 1 2 3 4
0. 10 1 2 3 4
9514 9474 9436 9399 9364
9509 9470 9432 9396 9361
9505 9466 9428 9392 9357
9501 9462 9425 9389 9354
9498 9459 9421 9385 9350
9494 9455 9417 9382 9347
9490 9451 9414 9378 9344
9486 9447 9410 9375 9340
9482 9443 9407 9371 9337
9478 9440 9403 9368 9334
5 b 7 8 9
5 6 7 8 9
9330 9298 9267 9237 9209
9327 9295 9264 9234 9206
9324 9292 9261 9231 9203
9321 9289 9258 9229 9201
9317 9285 9255 9226 9198
9314 9232 9252 9223 9195
9311 9279 9249 9220 9192
9308 9276 9246 9217 9190
9304 9273 9243 9214 9187
9301 9270 9240 9212 9184
1 20 1 2 3 4
0.20 I 2 3 4
9182 9156 9131 9108 9085
9179 9153 9129 9105 9083
9176 9151 9126 9103 9081
9174 9148 9124 9101 9079
9171 9146 9122 9098 9077
9169 9143 9119 9096 9074
9166 9141 9117 9094 9072
9163 9138 9114 9092 9070
9161 9136 9112 9090 9068
9158 9133 9110 9087 9066
5 6 7 8 V
5 6 7 8 9
9064 9044 9025 9007 8990
9062 9042 9023 9005 8989
9060 9040 9021 9004 8987
9058 9038 9020 9002 8986
9056 9036 9018 9000 8984
9054 9034 9016 8999 8982
9052 9032 9014 8997 8981
9050 9031 9012 8995 8979
9048 9029 9011 8994 8978
9046 9027 9009 8992 8976
1.30 1 2 3 4
0.30 I 2 3 4
8975 8960 8946 8934 8922
8973 8959 8945 8933 8921
8972 8957 8944 8931 8920
8970 8956 8943 8930 8919
8969 8954 8941 8929 8918
8967 8953 8940 8928 8917
8966 8952 8939 8927 8916
8964 8950 8937 8926 8915
8963 8949 8936 8924 8914
8961 8948 8935 8923 8913
5 b 7 8 9
5 6 7 8 9
8912 8902 8893 8885 8879
8911 8901 8892 8885 8878
8910 8900 8892 8884 8877
8909 8899 8891 8883 8877
8908 8898 8890 8883 8876
8907 8897 8889 8882 8875
8906 8897 8888 8881 8875
8905 8896 8888 8880 8874
8904 8895 8887 8880 8874
8903 8894 8886 8879 8873
1.40 1 2
0 40 1 2 3 4
8873 8868 8864 8860 8858
8872 8867 8863 8860 8858
8872 8867 8863 8860 8858
8871 8866 8863 8860 8858
8871 8866 8862 8859 8857
8870 8865 8862 8859 8857
8870 8865 8862 8859 8857
8869 8865 8661 8859 8857
8869 8864 8861 8858 8857
8868 8864 8861 8858 8857
5 6 7 b 9
8857 8856 8856 8857 8859
8857 8856 8856 8858 8860
8856 8856 8856 8858 8860
8856 8856 8857 8858 8860
8856 8856 8857 8858 8860
8856 8856 8857 8858 8861
8856 8856 8857 8859 8861
8856 8856 8657 8859 8861
8856 8856 8857 8859 8862
8856 8856 8857 8859 8862
8862
8863
8863
8863
8864
8864
8864
8865
8865
8866
9
o.so
1.50
I'd)
-Jo
«•---■<«
For higher values of argument
rd)
=.
(i
Example:
-
\>r(x
r(4.7)
-!)-(*-
-
(3.7)1
-
3.7
(x
i)(i
-
X
2.7
-
2)r(z X
/o
1)!
-
2)
-
1.7 X 0.9086
x\
-
<»«- - rd + ») rd + »)
- x(.x -
= 15.43.
I)!
i(x
-
l)(i
-
2)!
GENERAL
1-118
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Table 14.
DATA
[SEC.
Gamma and Factorial Functions: T(x) = y\
(Continued)
0
1
2
3
4
5
6
7
8
9
0.8862 8866 8870 8876 8882
8863 8866 8871 8876 8882
8863 8867 8871 8877 8883
8863 8867 8872 8877 8884
8864 8868 8872 8878 8884
8864 8868 8873 8879 8885
8864 8869 8873 8879 8886
8865 8869 8874 8880 8887
8865 8869 8875 8880 8887
8866 8870 8875 8881 8888
5 6 7 8 9
8889 8896 8905 8914 8924
8889 8897 8906 8915 8925
8890 8898 8907 8916 8926
8891 8899 8908 8917 8927
8892 8900 8909 8918 8929
8892 8901 8909 8919 8930
8893 8901 8910 8920 8931
8894 8902 8911 8921 8932
8895 8903 8912 8922 8933
8896 8904 8913 8923 8934
1.60 1 2 3 4
60 1 2 3 4
8935 8947 8959 8972 8986
8936 8948 8961 8974 8988
8937 8949 8962 8975 8989
8939 8950 8963 8977 8991
8940 8952 8964 8978 8992
8941 8953 8966 8979 8994
8942 8954 8967 8981 8995
8943 8955 8968 8982 8997
8944 8957 8970 8984 8998
8946 8958 8971 8985 9000
5 6 7 8 9
5 6 7 8 9
9001 9017 9033 9050 9068
9003 9018 9035 9052 9070
9004 9020 9036 9054 9071
9006 9021 9038 9055 9073
9007 9023 9040 9057 9075
9009 9025 9041 9059 9077
9010 9026 9043 9061 9079
9012 9028 9045 9062 9081
9014 9030 9047 9064 9083
9015 9031 9048 9066 9084
1.70 1 2 3 4
70 1 2 3 4
9086 9106 9126 9147 9168
9088 9108 9128 9149 9170
9090 9110 9130 9151 9173
9092 9112 9132 9153 9175
9094 9114 9134 9155 9177
9096 9116 9136 9157 9179
9098 9118 9138 9160 9182
9100 9120 9140 9162 9184
9102 9122 9142 9164 9186
9104 9124 9145 9166 9188
5 6 7 8 1
5 6 7 8 9
9191 9214 9238 9262 9288
9193 9216 9240 9265 9290
9195 9218 9242 9267 9293
9197 9221 9245 9270 9295
9200 9223 9247 9272 9298
9202 9226 9250 9275 9301
9204 9228 9252 9277 9303
9207 9230 9255 9280 9306
9209 9233 9257 9283 9309
9211 9235 9260 9285 9311
1.80 1
80 1 2 3 4
9314 9341 9368 9397 9426
9316 9343 9371 9400 9429
9319 9346 9374 9403 9432
9322 9349 9377 9406 9435
9325 9352 9380 9408 9438
9327 9355 9383 9411 9441
9330 9357 9385 9414 9444
9333 9360 9388 9417 9447
9335 9363 9291 9420 9450
9338 9366 9394 9423 9453
5 6 7 8 9
9456 9487 9518 9551 9584
9459 9490 9522 9554 9587
9462 9493 9525 9557 9591
9465 9496 9528 9561 9594
9468 9499 9531 9564 9597
9471 9503 9534 9567 9601
9474 9506 9538 9570 9604
9478 9509 9541 9574 9607
9481 9512 9544 9577 9611
9484 9515 9547 9580 9614
90 1 2 3 4
9618 9652 9688 9724 9761
9621 9656 9691 9728 9765
9625 9659 9695 9731 9768
9628 9663 9699 9735 9772
9631 9666 9702 9739 9776
9635 9670 9706 9742 9780
9638 9673 9709 9746 9784
9642 9677 9713 9750 9787
9645 9681 9717 9754 9791
9649 9684 9720 9757 9795
5 6 7 8 9
9799 9837 9877 9917 9958
9803 9841 9881 9921 9962
9806 9845 9885 9925 9966
9810 9849 9889 9929 9971
9814 9853 9893 9933 9975
9818 9857 9897 9938 9979
9822 9861 9901 9942 9983
9826 9865 9905 9946 9987
9830 9869 9909 9950 9992
9834 9873 9913 9954 9996
1. 0000
0004
0008
0013
0017
0021
0026
0030
0034
0038
X
V
1.50 1 2 3 4
0.50 1 2 3 4
s 6 7 8 9
1.90
2.00
1.00
Minimum value of the function: I'( 1.461632)
-
(0.461632)!
= 0.885603.
1
tables
mathematical
Sec. 1-2]
1-119
Exponential and Related Integrals
Table 15.
The Exponential Integral*. Functions usually used in combination are ( 1) the exponential integrals z or (2) Eo(z), E\(z), and Bt(x),* Ei(x) -Ei(-z). In all cases x ja positiveuse the formulas or series Small Valuea of the Argument. Where interpolation is unsatisfactory, solutions given in the tables. Large Values of the Argument for Ei(x) =■ Bi( — x), a. For 5 < z < 16 sec special tables following main tables. b. For 5 < x < 40. Ei(z) -Jf*(-«) F\e'*/z and Ei z Ft*?*/*, where Fx and Ft Are given below and e~* and e* are read from Table 6.
-
Ei(—x) and Ei
-
-
-
J F,
1.354
■♦I
i
For
c.
15
10
0.8516
Large
30
35
40
0.9408
0.9549
0.9627
0.9687
0.9729
0.9753
1. 1316
1.0781
1.0360
1.0440
1.0358
1.0305
1.0264
1
large values of x,
Fi
and
I!
+
X
Ft
can be computed
-
2!
3!
x'
X*
- -
Values of the Argument for Eotx) •» «-»/« and Ei(x)
-
from the scmioonvergent
F,
+
-
and
£1(2).
-
«-«/«
EoM
I1 X Use
+
- 2'
X*
the
+
3'
X*
series
+
formulas
given
In the tables,
1
2
3
4
5
6
7
8
9
m 9.048 4.094 2.469 1.676
99.00 8. 144 3.860 2.366 1.619
49.01 7.391 3.648 2.269 1.564
32.35 6 755 3.454 2. 179 1.513
24.02 6.210 3.278 2.093 1.464
19.02 5.738 3. 115 2.013 1.417
15.70 5.326 2.966 1.938 1.372
13.32 4.963 2.827 1.867 1.330
11.54 4.640 2.699 1.800 1.289
10. 15 4.352 2.580 1.736 1.250
1.213 0.9147 7094 5617 4517
1. 177 8907 6925 5492 4423
1. 143 8677 6760 5371 4332
1.111 8454 6601 5254 4243
1.079 8239 6447 5139 4156
1.049 8031 6298 5028 4071
1.020 7831 6154 4920 3988
•9921 7637 6013 4816 3908
•9653 7450 5877 4713 3830
•9395 7269 5745 4614 3753
3679 3026 2510 2096 1761
3606 2969 2464 2060 1732
3535 2913 2420 2024 1722
3466 2859 2376 1989 1673
3399 2805 2334 1954 1645
3333 2753 2292 1920 1618
3268 2702 2251 1887 1591
3206 2653 2211 1855 1564
3144 2604 2172 1823 1338
3085 2556 2134 1792 1513
1488 1262 1075 0.09183 7872
1463 1242 1058 9042 7753
1439 1222 1041 8903 7636
1415 1202 1025 8766 7521
1392 1183 1009 8631 7407
1369 1164 •9930 8500 7296
1347 1145 •9775 8370 7187
1325 1127 •9623 8242 7079
1304 1109 •9474 8116 6973
1283 1092 •9327 7993 6869
0.0 1.0 2.0 3.0
* 0
n 0.3679 10-' X 0.6767 10"' X 1.660 IO-« X 0. 4579
9.048 3026 5831 1.453 4042
4.094 2510 5037 1.274 3570
2.469 2096 4359 1. 118 3155
1.676 1761 3780 0.9816 2790
1.213 1488 3283 8628 2469
•9147 1262 2857 7590 2185
•7094 1075 2489 6682 1935
•5617 •9183 2172 5887 1714
•4517 •7872 1897 5190 1520
5 f. 7 ft 1
10-< X 1.348 10-' X 0.4131 10-' X 1.303 IO-« X 0 4193 10 ' X 1.371
1. 195 3677 1. 1621 3747 1.227
1.061 3273 1.037 3349 1.098
0.9418 2915 0.9254 2994 0.9831
8364 2596 8260 2677 8800
7431 2313 7375 2394 7879
6603 2061 6585 2141 7055
5870 1837 5881 1915 6318
5220 1638 5253 1713 5658
4643 1461 4693 1533 5068
0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
25
20
0.9156
Ft
i.e.. /?a(x)
-
0 0 1 2 3 «
j 7 8 » 1.0 2
J
4
j | 7 ft »
0 0 0 0 0
• The functions are represented %nd the exponential
integrals
by the general formula E*(x) =
can be expressed in various
alternative
jj
«~*"a~" du.
forms.
These
functions
GENERAL
1-120 Table 16.
0 go
1
{Continued)
Si(-z)
1
2
3
4
5
6
7
8
9
1.823 1.223 0.9057 7024
4.038 1.737 1.183 8815 6859
3.355 1.660 1. 145 8583 6700
2.959 1.589 1 110 8361 6546
2.681 1.524 1.076 8147 6397
2.468
1 2 3 4
1.464 1.044 7942 6253
2.295 1.409 1.014 7745 6114
2.151 1.358 0.9849 7554 5979
2.027 1.310 9573 7371 5848
1.919 1.265 9309 7194 5721
5 6 7 8 9
5598 4544 3738 3106 2602
5478 4454 3668 3050 2557
5362 4366 3599 2996 2513
5250 4280 3532 2943 2470
5140 4197 3467 2891 2429
5034 4115 3403 2840 2387
4930 4036 3341 2790 2347
4830 3959 3280 2742 2308
4732 3883 3221 2694 2269
4636 3810 3163 2647 2231
1.0 1 2 3 4
2194 I860 1584 1355 1162
2157 1830 1559 1334 1145
2122 1801 1535 1313 1128
2087 1772 1511 1293 1111
2052 1743 1487 1274 1094
2019 1716 1464 1254 1078
1986 1688 1441 1235 1062
1953 1662 1419 1216 1046
1922 1635 1397 1198 1030
1890 1609 1376 1160 1015
5 6 7 8 9
1000 0.08631 7465 6471 5620
•9854 8506 7359 6380 5542
•9709 8383 7254 6290 5465
•9567 8261 7151 6202 5390
•9426 8142 7049 6115 5315
•9288 8025 6949 6029 5241
• 9152 7909 6850 5945 5169
•9019 7796 6753 5862 5098
•8887 7684 6658 5780 5027
•8758 7574 6564 5700 4958
2.0 1 2 3 4
4890 4261 3719 3250 2844
4823 4204 3669 3207 2806
4757 4147 3620 3164 2769
4692 4090 3571 3122 2733
4627 4035 3523 3081 2697
4564 3980 3476 3040 2662
4502 3927 3430 3000 2627
4440 3874 3384 2960 2592
4380 3821 3339 2921 2558
4320 3770 3294 2882 2525
5 6 7 8 9
2491 2185 1918 1686 1482
2459 2157 1893 1664 1464
2427 2129 1869 1643 1445
2395 2101 1845 1622 1427
2364 2074 1821 1601 1409
2333 2047 1798 1581 1391
2303 2021 1775 1560 1373
2273 1994 1752 1540 1356
2243 1969 1730 1521 1338
2214 1943 1707 1502 1322
1305 1149 1 2 1013 3 0.008939 4 7891
1288 1135 1001 8828 7793
1272 1121 •9882 8718 7697
1256 1107 •9758 8610 7602
1240 1093 •9637 8503 7508
1225 1079 •9517 8398 7416
1209 1066 •9398 8294 7324
1194 1052 •9281 8191 7234
1179 1039 •9166 8090 7145
1164 1026 •9052 7990 7057
5 6 7 8 9
6970 6160 5448 4820 4267
6884 6085 5381 4762 4216
6800 6011 5316 4704 4165
6716 5937 5251 4647 4114
6634 5864 5187 4591 4065
6552 5793 5124 4535 4016
6472 5722 5062 4480 3967
6393 5652 5000 4426 3919
6314 5583 4939 4372 3872
6237 5515 487) 4319 3825
4.0 1 2 3 4
3779 3349 2969 2633 2336
3734 3309 2933 2602 2308
3689 3269 2898 2571 2281
3645 3230 2664 2540 2254
3601 3191 2829 2510 2227
3557 3153 2796 2480 2201
3515 3115 2762 2450 2175
3472 3078 2729 2421 2149
3431 3041 2697 2393 2123
3390 3005 2665 2364 2098
5 6 7 8 9
2073 1841 1635 1453 1291
2049 1819 1616 1436 1276
2025 1798 1597 1419 1261
2001 1777 1578 1402 1247
1977 1756 1560 1386 1232
1954 1735 1541 1370 1218
1931 1715 1523 1354 1204
1908 1694 1505 1338 1189
1885 1674 1488 1322 1176
1863 1655 1470 1307 1162
5.0
1148
1135
1122
1109
1096
1083
1070
1058
1045
1033
1-112-2!
3- 3!
0.0
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
[Sec.
and Related Integrals.
Exponential
jBiCx) X
DATA
3.0
i'i(j-)
where In
/; «-'»u-' fz
du
-
—
= 0.5772 + In z
Ei(-z)
-/:
t-"u
mathematical tables
Sec. 1-2] Table
Exponential
16.
1-121
and Related Integrals.
(Continued)
Wix = Ei(x)
I
0
1
2
3
4
5
6
7
8
9
4.018
3.315
2.899
1.419 7042 2147 1783
1.329 6485 1721 2143
2.601 1.244 5947 1304 2498
2.368
1.517 7619 2582 1418
2.175 1.089 4919 0493 3195
2.011 1.017 4427 0098 3537
1.867 .9491 3949 *0290 3876
1.739 .8841 3482 •0672 4211
4870 8002 1.094 1.375 1.650
5195 8302 1.122 1.403 1.677
5517 8601 1.151 1.431 1.705
5836 8898 1.179 1.458 1.732
6153 9194 1.207
6467 9488 1.236 1.513 1.786
6778 9780 1.264 1.541 1.814
7087 1.007 1.292 1.568 1.841
7394 1.036 1.320 1.595 1.868
1. 895 2. 167
1.922 2. 195 2.470
1.949
2.222
1.977 2.249
2.004 2.277
2.058 2.332
2.086
2.750 3.036
2.778 3.065
2.921
2.113 2.387 2.665 2.949
2.140 2.414
2.721
2.031 2.304 2.581 2.863
3.212
3.242
3.271
3.544 3.857 4.183
« 0 0 — 1 1.623 2 -0.8218 3 .3027 4 + .1048
-
-
5 6 7 8 9
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
1.0 1 2 3 4
.4542
.7699 1.065 1.347 1.623
2.442 3.007
5 6 7 8 9
3.301 3.605 3.921 4.250
2.0 1 2 3 4
4.954 5.333 5.733
5
t
7 8 9
4.59'
3.331 3.636
7.074 7.576 8. 110
8.679 9 286
2.525 2.806 3.094
3.361
3.391
3.953 4.284 4.629
3.667 3.986 4.317 4.664
3.699
4.991
5.028
5.066
5.411
5.451 5.857
5.372
6. 154 6 601
2.498
5.774 6. 198
6.647 7.123 7.628 8. 166
4.018 4.351
4.700
5.815 6.242
6.286 6.740
6.693
7.172
7.221 7.733
2.553 2.835
1. 164 5425 0894 2849
I486 1.759
2.609
2.892 3.183
2.359
2.637
3.124
3.153
3.422 3.730
3.452 3.762 4.084 4.420 4.772
3.482 3.793 4.117 4.454
3.513 3.825 4.150 4.489
4.808
5.141
4.051
4.386 4.736 5.104 5.490 5.899 6.330 6.787 7.271
2.693
2.978 3.574 3.889 4.216 4.559
4.844
4.524 4.881
4.917
5.179 5.570
5.217 5.611
5.256 5.651
5.941
5.9B3
6.374 6.834
6.419 6.881
6.025 6.464 6.929
6.068 6.509 6.977
5.692
7.321 7.839
7.372
7.422
7.893
7.947
7.473 8.001 8.563
5.530
5.294 6.
Ill
6.555 7.025 7.524
8.738 9.349
7.798 9.412
8.277 8.857 9.476
7.786 8.334 8.917 9.540
10.07 10.77 11.52 12.33 13.19
10.14 10.84 11.60 12.41 13.28
10.21 10.92 11.68 12.49 13.37
10.27 10.99 11.76 12.58 13.46
10.34 11.06 11.84 12.66 13.55
10.41 11.14 11.92 12.75 13.64
10.48 11.22 12.00 12.84 13.74
10.55 11.29 12.08 12.92 13.83
7.680 8.221
8.055
8.390 8.978 9.605
8.447 9.039 9.670
8.505 9.735
9.801
9.224 9.867
9. 100
9.162
8.621
3 0 1 2 3 4
9.934 10.63 11.37 12. 16 13.01
10.00 10.70 11.44 12.24 13.10
5 6 7 8 9
13.93 14.91 15.96 17. 09 18.32
14.02 15.01 16.07 17.21 18.44
14.12 15.11 16.18 17.33 18.57
14.21 15.21 16.29 17.45 18.70
14.31 15.32 16.40 17.57 18.83
14.41 15.42 16.52 17.69 18.96
14.51 15.53 16.63 17.82 19.09
14.60 15.64 16.75 17.94 19.23
14.70 15.74 16.86 18.06 19.36
14.80 15.85 16.98 18.19 19.49
4.0 1 2 3 4
19.63
19.77 21.20 22.74 24.40 26.19
19.91 21.35
20.05 21.50
20.19 21.65
20.33
21.05 22.58 24.23
23.06
23.22
22.42
24.57
24.75 26.57
24.92 26.76
23.39 25.10 26.95
20.61 22.11 23.72 25.46
20.76 22.26
22.90
20.47 21.95 23.55
23.89 25.64 27.54
24.06 25.82 27.73
29.80
39.31
29.58 31.80 34.20 36.79 39.60
39.89
42.32
42.64
42.96
5 6 7 H 9 5.0
26.01 27 93 30.01 32 26
32.50
34.70 37.33
34 95 37.61
32.74 35.21 37.88
40. 19
40.48
40.78
where In yx
-
28.13 30.23
26.38 28.34
30.45
Ei
0.5772
+ In
i
x
"
28.54 30.67 32.97 35.47 38. 16
41.09 In yx + ■
21.80
25.28 27.15
27.34 29.37 31.57 33.95 36.52
28.75
28.95
29.16
30.89
31.12
33.21
33.46
35.73
35.99
31.34 33.70
38.45
38.73
39.02
41.39
41.70
42.01
II
+
x* -=—
2- 2!
z> + -=—
3-3!
36.25
20.90
32.03
34.45 37.06
GENERAL DATA
1-122
Exponential and Related Integrals.
Table 16.
Bix =
5 6 7 8 9 10
II
12 13 14
1
1
3
10"' 10-' I0"< IO-<
X 1148 X 0.3601 X 1.155 X 0.3767 10-' X 1.245
1.021 3211 1.032 3370 1. 115
9086 2864 9219 3015 9988
8086 2555 8239 2699 8948
10-' X 0 4157 1.400 10"' X 10-' X 0. 4751 1.622 10-' X 10-' X 0 5566
3727 1.256 4266 1. 457 5002
3342 1. 127 3830 1.309 4500
2997 1.012 3440 1. 176 4042
Six
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
-
-0.3125 -3118
1
-
P.(x)
X
1
Pid)
1-123
Legendre Polynomials
1
■
tables
mathematical
Sec. 1-2]
0751
1-124
GENERAL DATA Table 17.
I
0
1
Probability
[SEC.
Function or Error Integral
:
1
erf x
2
3
4
5
6
7
•
9
| 0 0000 0113 0226 0338 0451
0011 0124 0237 0350 0462
0023 0135 0248 0361 0474
0034 0147 0260 0372 0485
0045 0158 0271 0384 0496
0056 0169 0282 0395 0507
0068 0181 0293 0406 0519
0079 0192 0305 0417 0530
0090 0203 0316 0429 0541
0102 0214 0327 0440 0553
9
0564 0676 0789 0901 1013
0575 0688 0800 0912 1024
0586 0699 0811 0923 1035
0598 0710 0822 0934 1046
0609 0721 0834 0946 1058
0620 0732 0845 0957 1069
0631 0744 0856 0968 1080
0643 0755 0867 0979 1091
0654 0766 0878 0990 1102
0665 0777 0890 1002 1113
10 1 2 3 4
1125 1236 1348 1459 1569
1136 1247 1359 1470 1581
1147 1259 1370 1481 1592
1158 1270 1381 1492 1603
1169 1281 1392 1503 1614
1180 1292 1403 1514 1625
1192 1303 14(4 1525 1636
1203 1314 1425 1536 1647
1214 1325 1436 1547 1658
1225 1336 1448 1558 1669
6 7 8 9
1680 1790 1900 2009 2118
1691 1801 1911 2020 2129
1702 1812 1922 2031 2140
1713 1823 1933 2042 2151
1724 1834 1944 2053 2162
1735 1845 1955 2064 2173
1746 1856 1966 2075 2184
175? 1867 1977 2086 2194
1768 1878 1988 2097 2V05
1779 1889 1998 2108 2216
20 1 2 } 4
2227 2335 2443 2550 2657
2238 2346 2454 2561 2668
2249 2357 2464 2572 2678
2260 2368 2475 2582 2689
2270 2378 2486 2593 2700
2281 2389 2497 2604 2710
2292 2400 2507 2614 2721
2303 2411 2518 2625 2731
2314 2421 2529 2636 2742
2324 2432 2540 i 2646
s 6 7 9
2763 2869 2974 3079 3183
2774 2880 2985 3089 3193
2784 2890 2995 3100 3204
2795 2901 3006 3110 3214
2806 2911 3016 3120 3224
2816 2922 3027 3131 3235
2827 2932 3037 3141 3245
2837 2943 3047 3152 3255
2848 2953 3058 3162 3266
29164 30(68 3172 3276
10 1 2 3 4
3286 3389 3491 3593 3694
3297 3399 3501 3603 3704
3307 3410 3512 3613 3714
3317 3420 3522 3623 3724
3327 3430 3532 3633 3734
3338 3440 3542 3643 3744
3348 3450 3552 3653 3754
3358 3461 3562 3663 3764
3369 3471 3573 3674 3774
3379 3481 3583 3684 3784
5 6 7 8 9
3794 3893 3992 4090 4187
3804 3903 4002 4100 4197
3814 3913 4012 4110 4207
3824 3923 4022 4119 4216
3834 3933 4031 4129 4226
3844 3943 4041 4139 4236
3854 3953 4051 4149 4245
3864 3963 4061 4158 4255
3873 3972 4071 4168 4265
3883 3982 4080 4178 4274
40 2 3 4
4284 4380 4475 4569 4662
4294 4389 4484 4578 4672
4303 4399 4494 4588 4681
4313 4408 4503 4597 4690
4322 4418 4512 4606 4699
4332 4427 4522 4616 4709
4341 4437 4531 4625 4718
4351 4446 4541 4634 4727
4361 4456 4550 4644 4736
4370 4465 4359 4653 4746
s 6 7 8 9
4755 4847 4937 5027 5117
4764 4856 4946 5036 5126
4773 4865 4956 5045 5134
4782 4874 4965 5054 5143
4792 4883 4974 5063 5152
4801 4892 4983 5072 5161
4810 4901 4992 5081 5170
4819 4910 5001 5090 5179
4828 4919 5010 5099 5187
4837 4928 5019 5106 5196
50
5205
5214
5223
5231
5240
5249
5258
5266
5275
5284
0 00 1 2
J
4
i
t 7
t
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
j
erf
i-
11(7)
- — [x,-"dl
\
\
\2753
M58
mathematical tables
Sec. 1-2]
Probability Function or Error Integral
Table 17.
I 0 50 1
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
60
70
80
90
1.00
fi
1-125 :
erf x.
(Continued)
0
1
2
3
4
5
6
7
8
9
0.5205 5292 5379 5465 5549
5214 5301 5388 5473 5558
5223 5310 5396 5482 5566
5231 5318 5405 5490 5575
5240 5327 5413 5499 5583
5249 5336 5422 5507 5591
5258 5344 5430 5516 5600
5266 5353 5439 5524 5608
5275 5362 5448 5533 5617
5284 5370 5456 5541 5625
5633 5716 5798 5879 5959
5642 5724 5806 5887 5967
5650 5733 5814 5895 5975
5658 5741 5823 5903 5983
5667 5749 5831 5911 5991
5675 5757 5839 5919 5999
5683 5765 5847 5927 6007
5691 5774 5855 5935 6015
5700 5782 5863 5943 6023
5708 5790 5871 5951 6031
6039 6117 6194 6270 6346
6046 6125 6202 6278 6353
6054 6132 6209 6286 6361
6062 6140 6217 6293 6368
6070 6148 6225 6301 6376
6078 6156 6232 6308 6383
6086 6163 6240 6316 6391
6093 6171 6248 6323 6398
6101 6179 6255 6331 6405
6109 6186 6263 6338 6413
6420 6494 6566 6638 6708
6428 6501 6573 6645 6715
6435 6508 6581 6652 6722
6442 6516 6588 6659 6729
6450 6523 6595 6666 6736
6457 6530 6602 6673 6743
6464 6537 6609 6680 6750
6472 6545 6616 6687 6757
6479 6552 6624 6694 6764
6486 6559 6631 6701 6771
6778 6847 6914 6981 7047
6785 6853 6921 6988 7053
6792 6860 6928 6994 7060
6799 6867 6934 7001 7066
6806 6874 6941 7007 7073
6812 6881 6948 7014 7079
6819 6887 6954 7021 7086
6826 6894 6961 7027 7092
6833 6901 6968 7034 7099
6840 6908 6974 7040 7105
7112 7175 7238 7300 7361
7118 7182 7244 7306 7367
7124 7188 7251 7312 7373
7131 7194 7257 7318 7379
7137 7201 7263 7325 7385
7144 7207 7269 7331 7391
7150 7213 7275 7337 7397
7156 7219 7282 7343 7403
7163 7226 7288 7349 7409
7169 7232 7294 7355 7415
7421 7480 7538 7595 7651
7427 7486 7544 7601 7657
7433 7492 7550 7607 7663
7439 7498 7555 7612 7668
7445 7503 7561 7618 7674
7451 7509 7567 7623 7679
7457 7515 7572 7629 7685
7462 7521 7578 7635 7690
7468 7527 7584 7640 7696
7474 7532 7590 7646 7701
7707 7761 7814 7867 79)8
7712 7766 7820 7872 7924
7718 7772 7825 7877 7929
7723 7777 7830 7882 7934
7729 7782 7835 7888 7939
7734 7788 7841 7893 7944
7739 7793 7846 7898 7949
7745 7798 7851 7903 7954
7750 7804 7856 7908 7959
7756 7809 7862 7913 7964
7969 8019 8068 8116 8163
7974 8024 8073 8120 8167
7979 8029 8077 8125 8172
7984 8034 8082 8130 8177
7989 8038 8087 8135 8181
7994 8043 8092 8139 8186
7999 8048 8097 8144 8191
8004 8053 8101 8149 8195
8009 8058 8106 8153 8200
8014 8063 8111 8158 8204
8209 8254 8299 8342 8385
8213 8259 8303 8347 8389
8218 8263 8307 8351 8394
8223 8268 8312 8355 8398
8227 8272 8316 8360 8402
8232 8277 8321 8364 8406
8236 8281 8325 8368 8410
8241 8285 8329 8372 8415
8245 8290 8334 8377 8419
8250 8294 8338 8381 8423
8427
8431
8435
8439
8444
8448
8452
8456
8460
8464
For larger values
'
-*(-
of x see next page.
r
1-126
GENERAL DATA :
erf x.
0
1
2
3
4
J
i
7
8
9
1.0 1 2 } 4
0.8427 8802 9103 9340 9523
8468 8835 9130 9361 9539
8508 8868 9155 9381 9554
8548 8900 9181 9400 9569
8586 8931 9205 9419 9583
8624 8961 9229 9438 9597
8661 8991 9252 9456 9611
8698 9020 9275 9473 9624
8733 9048 9297 9490 9637
8768 9076 9319 9507 9649
s 6 7 8 9
9661 9763 9838 9891 9928
9673 9772 9844 9895 9931
9684 9780 9850 9899 9934
9695 9788 9856 9903 9937
9706 9796 9861 9907 9939
9716 9804 9867 991 1 9942
9726 981 1 9872 9915 9944
9736 9818 9877 9918 9947
9745 9825 9882 9922 9949
9755 9832 9886 9925 9951
532 702 814 886
552 715 822 891 35
572 728 831 897 38
591 741 839 902 41
609 753 8.46 906 44
626 764 854 91 1 47
642 775 861 916 50
658 785 867 920 52
673 795 874 924 55
688 805 880 928 57
59 76 87 25 59
61 78 87 29 61
63 79 88 33 64
65 80 89 37 66
67 8T 89 41 68
69 82 90 44 70
71 83 91 48 72
72 84 91 51 73
74 85 92 54 75
75 86 92 56 77
For larger values of x,
n
0
1
, 2 3 4 5 6 7 8
, 1 I 1 1 1 1 1
2 3 4 5 6 7
1 3 6 10 15 21 28
9
1
9
1
10
3
n , + • • ■1
)
5
-
(n
6
-
r)!r!
7
9
8
1 + 6r + 15*' + 20j:' + 15j-« + 6i« + *« 84
1
126
84
36
45
20
210
252
210
120
45
10
1 1
126
1
1 8
9
1 7 28
|36
1 6 21 56
84
is
10
the sum of the number above
and the number
to the left of that number
The table can be extended indefinitely in this way.
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Function or Error Integral
Probability
Table 17.
[SEC.
I0
mathematical tables
Sec. 1-2] 2
1-127
bibliography of english-language tables
Tables of most functions are available in considerable multiformity of range, interval, and number of figures. The following references are restricted to tables of not more than ten-figure accuracy, except where a table of higher accuracy offers some compensating advantage for the cumbcrsomeness associated with extra figures Many isolated standard tables are contained unwanted for most engineering work. in the literature of scientific societies, especially prior to 1930, but these are cited only There are where no equivalent table can be found in newer collections of tables. many good collections of four- to six-figure tables of elementary functions, including those in standard handbooks. For functions other than those listed and for tables of higher accuracy, see references under Bibliographies.
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
2.1
Bibliographies
Fletcher, A., J. C. P. Miller, and L. Rosenhead: "An Index of Mathematical Tables," Scientific Computing Service Limited, London, and McGraw-Hill Book Company, Inc., New York, 1946. A complete guide to the contents of all important tables. Over 2,000 references. M athematical Tables and Other Aids to Computation, National Academy of Science, National Research Council, Washington, D.C. (British Agents: Scientific Computing Service, A journal issued quarterly since 1943 (Report 1 published 1941), including London). information on new tallies, errors in tables, and specialized bibliographies (e.g., No. 7, II. Bateman and R. C. Archibald, A Guide to Tables of Bessel Functions, July, 1944). Bibliographies of Particular Functions. Most major tables of particular functions give pertinent bibliographies. 2.2
Four- and Five-figure
Tables
J. B.: "Five-figure Co., London, 1949.
Tables of Mathematical Functions," 2d ed., Edward Arnold & hyperbolic, Bessel, Legendre poly In x, circular, exponential, nomials, r, error, and other higher functions and elementary functions. Dwight, H. B.: "Mathematical Tables of Elementary and Some Higher Mathematical Functions," McGraw-Hill Book Company, Inc., New York, 1941. In x, circular, exponential, hyperbolic, Legendre polynomials; I\ error, other higher functions; and elementary functions. Flfigge, W. : "Four-place Tables of Transcendental Functions," McGraw-Hill Book Com Circular, expo pany, Inc., New York, and Pergamon Press, Ltd., London, 1954. nential, hyperbolic, Bessel, I\ error, and other higher functions. Jahnke, E., and F. Emde: "Tables of Functions with Formulae and Curves," Dover Publications, New York, 1945. In x, exponential, Bessel, Legendre polynomials, T, error, sin x/x, tan x/x, and many other higher functions. Dale.
2.3
Tables of Six or More Figures
Allen, Edward S. : "Six Place Tables," McGraw-Hill Book Company, Inc., New York, hyperbolic, and other elementary 1947. In x, circular functions, and exponential,
functions. P.: "Tables of Squares, Cubes, Square Roots, Cube Roots and Reciprocals of all Integer Numbers up to 12,500," E. and F. N. Spon, Ltd., London, and Chemical Publishing Company, Inc., New York, 1941. Fourth edition edited by L. J. Comrie. (First edition 1814.) Contains also reciprocals of square roots, etc. Becker, G. F., and C. E. Van Orstrand: "Smithsonian Mathematical Tables: Hyperbolic Functions," Smithsonian Institute, Washington, D.C, 1909, and reprints. «*, e~',
Barlow,
gd x.
"British
The vol Association for the Advancement of Science Mathematical Tables." umes of this series are published by the Cambridge University Press for the Royal Society. (The first editions of the first five volumes were published 1931 to 1935 in Many other tables have been published in London by the British Association.) British Association Reports since 1873. The Association has also issued interim Part Volumes and Auxiliary Tables, the latter formerly called Cards. The Committee is now reconstituted as the Royal
GENERAL DATA
1-128
Society Mathematical Tables Committee, and vol.
[SEC. 10 is the last
1
of the original scries.
Part Vol. A, "Legendre Polynomials," prepared by L. J. Comrie, 1946. Vol. 1, "Circular and Hyperbolic Functions, Exponential and Sine and Cosine Integrals, Factorial Function and Allied Functions, Hermitian Probability Functions," 3d ed., 1951. Vol. 6, "Bessel Functions, Pt. 1. Functions of Orders of Zero and Unity," 1937. Particularly convenient for reactor calculations. Vol. 10, "Bessel Functions, Pt. 2. Functions of Positive Integral Order," 1952. Cambi, E.: "Eleven- and Fifteen-place Tables of Bessel Functions of the First Kind, to All Significant Orders," Dover Publications, New York, 1948. First edition by Andrew Bell published as seven"Chambers's Mathematical Tables." Subsequent editions by James Pryde. Current edition, sixfigure tables in 1844. figure tables by L. J. Comrie, which see. Comrie, L. J.: "Chambers's Six Figure Mathematical Tables," W. and R. Chambers, Ltd., Edinburgh, and D. Van Nostrand Company, Inc., Princeton, N.J., 1949.
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Vol. 1, "Logarithmic Values." log x, antilogarithms, logarithms of functions. Vol. 2, " Natural Values." In x, circular, exponential, hyperbolic, T, error, ele mentary functions. Comrie, L.J.:" Chambers's Shorter Six-figure Mathematical Tables," W. and R. Chambers^ Ltd., Edinburgh, and Chemical Publishing Company, Inc., New York, 1954. In x. circular, exponential, hyperbolic, and other elementary functions. Davis, H. T.: "Tables of the Higher Mathematical Functions," vol. 1, Principia Press, Bloomington, Ind., 1933. Harvard University: "Annals of the Computational Laboratory," Harvard University Press, Cambridge, Mass. A series of tables (some highly specialized) started in 1945 and successively under sponsorship of the Bureau of Ships, the Bureau of Ordnance, and joint sponsorship of the United States Air Force and the United States Atomic Energy Commission. Vol. 3, "Tables of the Bessel Functions of the First Kind of Orders Zero and One," 1947. Vols. 4-14, "Tables of Bessel Functions of the First Kind for Orders 2 to 135," 1947-1951.
Vol. 20, "Tables of Inverse Hyperbolic Functions," 1949.
-
sin
and of Its First Eleven Derivatives," 1949. Vol. 22, "Tables of the Function " Vol. 23, Tables of the Error Function and of Its First Twenty Derivatives," 1952.
Milne-Thomson, L. M.: "Standard Table of Square Roots," George Bell & Sons, Ltd., London, 1929. National Bureau of Standards (U.S. Department of Commerce): A major series of tables Volumes published from 1939 to all under sponsorship of NBS, initiated in 1938. March, 1943, were prepared under the U.S. Works Progress Administration (WPA) by the Work Projects Administration for the City of New York, and published by the Bureau of Standards. Since March, 1943, the work has been continued by the Mathematical Tables Project of NBS, which became the Computation Laboratory on July 1, 1947. Volumes are published by Columbia University Press or by the Bureau of Standards. In consequence of this history, there is some inconsistency in early catalogues and The early volumes were issued without numbers, references to tables of this aeries. but all volumes are now listed* numerically by NBS in three series: Mathematical Tables Series (MT) Applied Mathematics Series (AMS) Columbia University Series (CUP) The plan is to issue future tables, including all reissues, in the AMS series. Volumes of the MT and AMS series arc available from the Superintendent of Documents, Government Printing Office, Washington, D.C. Volumes of the CUP series arc available from Columbia University Press, Morningsidc Heights, New York. The following selected references are listed in the order of publication of first editions. * List of Publications LP 17 (Revised), "Publications of the Applied Mathematics Division," Department of Commerce, National Bureau of Standards, Washington, D.C. July. 1957.
U.S.
mathematical tables
Sec. 1-2]
1-129
14. "Tables of the Exponential Function «*," 1951. Reissue of MT 2, 1939; 2d ed. 1947. For an extension of this table see AMS 46, 1955. AMS 36. "Tables of Circular and Hyperbolic Sines and Cosines for Radian Arguments," 1953. Reissue of MT 3, 1939; 2d ed. 1949. For an extension of this table see AMS 45, 1955. AMS 43. "Tables of Sines and Cosines for Radian Arguments," 1955. Reissue of MT 4, 1940. MT 5. "Tables of Sine, Cosine, and Exponential Integrals," vol. 1, 1940. MT 6. "Tables of Sine, Cosine, and Exponential Integrals," vol. 2, 1940. MT 7. "Tables of Natural Logarithms," vol. 1 [In x = 1(1)49,999], 1941. 50,000(1)99,999), MT 9. "Table of Natural Logarithms," vol. 2 [In x 1941. AMS 31. "Table of Natural Logarithms for Arguments between Zero and Five to Sixteen Decimal Places," 1953. Reissue of MT 10, 1941. AMS 53. "Table of Natural Logarithms for Arguments between Five and Ten to Sixteen Decimal Places," 1958. Reissue of MT 12, 1941. AMS 41. "Tables of the Error Function and Its Derivative," 1954. Reissue of MT 8, "Tables of Probability Functions," vol. 1, 1941. AMS 26. "Tables of Arc tan x," 1953. Reissue of MT 16. CUP 3. "Tables of Circular and Hyperbolic Tangents and Cotangents for Radian Arguments," 1943, second printing, 1947. CUP 5. "Table of Arc sin x," 1945. AMS 25. "Tables of Bessel Functions Fo(x), Yi(x), A'o(x), Ki{x), 0 S £ 1," 1952. Reissue of AMS 1. AMS 45. " Table of Hyperbolic Sines and Cosines, x = 2 to x — 10," 1955. An extension of AMS 36. AMS 46. "Tables of the Descending Exponential, x — 2.6 to x — 10," 1955. An extension of AMS 14.
AMS
-
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I
National
Research
E„(x)
=
/
"
Council
of
Canada, Division
e-'uu-"du," MT-1, No.
of Atomic
Energy: "The Functions
1547, 1946.
Royal Society Mathematical Tables Committee (see British Association). Thompson, A. J.: "Logarithmetica Britannica being a Standard Table of Logarithms to Twenty Decimal Places," published as "Tracts for Computers," Nos. 11, 14, 16-22, Cambridge University Press, London, 1924—1952. Also collected as Vols. 1 and 2, 1952. "Issued by the Department of Statistics, University College, London, to commemorate the tercentenary of the 14 figure Arithmetica Logarithmica published by Henry Briggs in 1624." Thompson, A. J.: "Table of the Coefficients of Everett's Central-Difference Interpolation Formula," 2d ed., Tracts for Computers No. 5., Cambridge University Press, London, 1943. 2.4
Cross Reference by Functions
In
the first column, dec. means decimal places and fig. means significant figures. In the second column, the notation 0(0.001)1(0.01)10 means that in the range 0 to 1 of the argument, the function is given at intervals of the argument of 0.001 and in the range 1 to 10 at intervals of 0.01. The intention is to describe the general character of a table rather than to define it precisely. For example, the number of decimal places or significant figures may be changed within a table to meet special conditions over a limited range of the argu ment. Also, a table described as in the above illustration may actually consist of two tables, 0(0.001)1 and 0(0.01)10, with an overlap in the range 0 to 1. No attempt has been made to reflect such detail. Particulars of the references given in the third column will be found in the preceding under Tables of Six or More Figures. The following alphabetical bibliography abbreviations are used:
BA
=
XBS NRC
British Association
= National Bureau of Standards = National Research Council of Canada
"Chambers" refers the two-volume
to the single-volume work and Chambers work, all by Comrie.
Chambers 2 Barlow Allen Chambers Chambers 2 Milne- Thomson
Barlow
Factorials
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6 7 7 8
fig. fig. fig. fig.
1(1)100 1(1) 1.000 1(1)1.000 1(1) 100 log x (reduced
0(0.001) 1.6 0(0.001)1.6 also cot 0(0.0001)0.1 0(0.0001)2 0(0.1)10
i
2 43 36
Orstrand BA 1
BA
tan x and cot x (radian 6 dec. or 6 rig. 6 dec. or 6 fig.
Chambers Chambers
Chambers Chambers Chambers
NBS-CUP NBS-CUP
2 2 3 3
Sec. 1-2]
MATHEMATICAL
TABLES
Range and Interval
6 6 6 6
dec. dec. or 7 fig. dec. or 7 fin. dec. or 8-9 fig.
9 fig. 18 dec. 15 dec. 12 dec. or 19 fig.
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tanh-1 x 6 dec. 6 dec. coth-1
NBS-CUP
NBS-AMS
5
26
x
6 dec. 6 dec.
Besael functions of ttie first kind Jo(x) and
10 dec. 10 dec. 11 dec. 18 dec.
Ji(x) HA 6
0(0.001)16(0.01)25 0(0.01)10 0(0.001)0.5(0.01)10.5 0(0.001)25(0.01)100 Bessel functions of the second
8 fig. 8 fig. 10 dec.
NBS-CUP
2
Cambi Harvard
kind* Vo(-r) and Yt(x) BA 6
0(0.01)25 0(0.0001)0.05(0.001)1 0(0.01)10
NBS-AMS NBS-CUP
25 12
Modified bessel functions of the first kind Ioix) and /i(x) 9 Kg. 10 dec.
e-'Io(z) and e~'h(x) 8 dec.
0(0.001)5 0(0.01)10
BA 6
5(0.01)10(0.020
BA
* Weber's functions Yuix) and Vi(x) are also called Nt>(x) and
NBS-CUP 6
Ni(x) after Neumann.
2
1
Sec. 1-2]
MATHEMATICAL TABLES
Accuracy
1-133
Range and Interval
Reference
Modified bessel (unctions of the second kind Ko(i) and Ki(jc) 7 fig. fig.
Alternative nomenclature: B
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-EH-x)
BHx) BHx)
2?
E,(x)
-
ft i
7dee.,
5 fig.
i
m
NRC NBS-MT NBS-MT from BA NRC NBS-MT NBS-MT from BA NRC
Chambers 2 and NBS-AMS 41 also give the derivative or ordinate
ff'(x) =
NBS-AMS NBS-AMS
—-
Vt
41 41
e tldt.
Chambers 2, NBS-AMS 23, and Harvard 23 give other forms of the probability integral and its ordinate.
1-3
UNITS AND CONVERSION
FACTORS
BY Harold Etherington Unit systems and conversion factors are given for quantities that may plausibly For other quantities see references.
be used in nuclear engineering. 1
DIMENSION AND UNIT SYSTEMS
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1.1
Dimensions, Units, and Systems
1.11 Dimensions and Units. A dimension is a general expression for a particular A unit is a reference standard kind of physical quantity, e.g., length, time, mass. used to measure a physical quantity; e.g., one centimeter, one inch, and one foot are alternative units of the dimension length. These Some dimensions and units are chosen arbitrarily, as in the above examples. are called fundamental dimensions and fundamental units. Some dimensions and units are defined and measured in terms of others; e.g., areas and volumes are defined and measured in terms of length, and density is defined and measured in terms of mass Some dimensions and units are related to others by physical laws; per unit volume. for example, Newton's second law of motion provides a means of expressing force in the dimensions and units of length, time, and mass. Dimensions and units that are expressed (by definition or by physical law) in terms of fundamental quantities are called derived dimensions and units. 1.12 A system in which all the dimensions can be expressed Dimension Systems. in terms of the smallest possible number of fundamental dimensions (e.g., length, time, mass) is called a dimension system. 1.13 Unit Systems. A unit system consists of fundamental units (e.g., foot, second, pound-mass) corresponding to the fundamental dimensions of the system (e.g., length, time, mass) together with the derived units necessary to satisfy all the requirements of the system. The units are said to be consistent, self-consistent, or systematic if all physical relations within the system can be expressed without intro The principal metric and English systems of units are ducing numerical factors.* given in Tables 1 and 2, respectively. 1.14 Absolute Systems. Historically, units of length, time, and mass were most easily established as standards. Systems employing these dimensions and units as In a literal sense they are no fundamental quantities are called absolute systems. more absolute than any other arbitrarily chosen system. 1.15 It is sometimes convenient to use Nonsystematic Dimensions and Units. sets of dimensions and units that do not conform to the requirements of a true system; i.e., the number of dimensions and units may be greater or less than required, or the units may be made nonsystematic by mixing units from different systems. A greater than necessary number of units is frequently used in thermodynamics. Thermal conductivity may have the dimensions and units of length, time, temperature, and heat, e.g., Btu/(hr)(ft)(°F), and specific heat may have the units mass, temper ature, and heat, e.g., Btu/(lbj/)(°F); if these quantities both enter into a physical * The factor 4* enters into some of the physical relations of electrical and is accepted as not destroying the consistency of the system.
factor
1-134
systems.
This is a geometric
Quantity
symbol
. • .
L
u
T
F
/
M«L«T-.,» L-'T^
Statvolt Statohm
. . .
E
. .
R
Abvolt Abohm
Abampere
Abcoulomb
Abhenry /centimeter
No name
Volt Ohm
Amperet MLT-'I-' ML»T-"I-«
Coulomb?
IT
M MLT> MLT-i ML-'T-i M-"L-'T«I» MLI-T-'
Meter Second Kilogram Newton Joule No name Farad/meter Henry/meter
Unit
(Giorgi) system
mks
Dimensions, MLTI
The
The table gives selected units of the mechanical and electrical absolute systems. Additional derived units are given in the following conversion tables. Fundamental dimensions and units are shown in boldface. Consistent thermodynamic systems of unite may be obtained by adding the degree centigrade as unit to the cgs and mks systems. fundamental = IX newton = 10s dynes. joule/meter on Weights and Measures, International The coulomb was generally used in the United States as the fundamental unit, but the Tenth General Conference The coulomb thus denned as one Bureau of Weights and Measures, 1955. adopted the meter, kilogram, second, ampere, and degree Kelvin as systematic units. ampere-second instead of the ampere being defined as one coulomb per second.
M^L^T-igL"'T£-'
m^t-.,.-^
Statampere
mWl^tV4
M*L»V*
L-«T«
Statcoulomb
Staff arad /centimeter No name
aesuC L-iTie-i
M MLT-> ML«T-»
(aemu)
Unit
Centimeter Second Gram Dyne Erg
electromagnetic system
Units*
Dimensions, MLTV
Absolute
and
MK-LMT-,£W
Dyne Erg
M MLT"' ML>T-
a
(aeau)
Unit
Centimeter Second Gram
electrostatic system
of Dimensions
I
Potential, Resistance,
0
Current,
LT Dyne Erg Poise
Dimensions, MLTg
LT
M MLT-' ML*T-> ML-'T-i
Centimeter Second Gram
Unit
Absolute
Systems
LT
Charge,
Dimensions, MLT
cgs
Metric
LT
. ..
Length, Time, IVlass, M Force, Work, energy, £'. Viscosity, S. Permittivity, mPermeability,
and
system
Mechanical
Table
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1.
t a
is
1
*
It X
1-136
GENERAL DATA
[Sec.
1
equation, five dimensions (mass, length, time, temperature, and heat) are represented, whereas four fundamental dimensions are sufficient (see later). In such cases, it is necessary to introduce a dimensional conversion factor in physical equations. The dimensions of this factor must satisfy the physical relation among the quantities, and the magnitude depends on the choice of units. It is desirable to choose the magnitude of a redundant unit so that the conversion factor is numerically equal to unity. In a limited range of application, it is permissible to use a smaller number of funda mental dimensions than required for a complete system. Such a set of quantities is said to be incomplete. Dimensionally consistent units from different unit systems (e.g., inches in place of feet in a system otherwise based on the foot, second, and pound) can be used, but a dimensionless factor mast be introduced in physical equations of such hybrid systems.
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1.2
Mechanical Systems
Three fundamental dimensions are necessary and sufficient to express all the physical quantities of a mechanical dimension system. Length and time are invariably chosen for two of the dimensions; the third is usually either mass or force. These alternative systems are called the absolute, or MLT, and the gravitational, or FLT The principal metric systems are absolute systems, in the systems, respectively.* sense that length, mass, and time are the fundamental dimensions. The usual engi neering (English) unit system is a gravitational system, with length, force, and time as the fundamental dimensions. 1.21 The CGS (Centimeter-Gram-Second) System. This system is generally Derived consistent units are given in Table 1. used by physicists. Table 2.
• Fundamental dimensionsand units are s:town in boldface.
The MKS (Meter-Kilogram-Second) System. f This system is little used 1.22 Its in English-speaking countries by reactor engineers as a mechanical system. advantages are discussed in the article on electrical units. The foot, second, and pound-force are the fundamental Engineering Units. 1.23 The derived unit of mass is the slug, units of the gravitational system (Table 2). * The absolute system is also called the dynamical or physical system, and the gravitational system MLT and FLT are also written LTM and LTF. respectively, is sometimes called the technical system. t Sometimes called, after the founder of the system, the mks-Giorgi system.
Sec. 1-3]
UNITS AND CONVERSION
1-137
FACTORS
The alternative absolute system (foot, second, poundequal to 32.17 pounds-mass. mass, with the poundal as the derived unit of force) is little used. In the practical treatment of fluid flow, the pound-mass, poundHydrodynamics. force, foot, and second are commonly used as a nonsystematic set of four units. It is therefore necessary to introduce a dimensional constant into Newton's second law of motion, force = mass X acceleration /gc or g, = mass X acceleration /force. The magnitude of gc depends on the units used, and, by definition of the pound-force, I, 32.1740 (lbjfXftVabfKsec2).
-
The ratio g/gc, which occurs frequently in hydrodynamic theory, is numerically approximately* equal to unity and has the dimensions lbr/lbjr. Thermodynamic
1.3
Systems
Four fundamental dimensions are required. Mass, time, and length are usually with temperature (the MLTfl system) or heat (the MLTH system) as the
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chosen,
fourth dimension. 1.31 The CGS System. The cgs system of units is extended by addition of the Heat is a derived unit, expressed as ergs degree centigrade as the fourth unit. (dyne-centimeters). 1.32 Metric Heat-flow Units. For problems not involving interconversion between heat and work, a set of five fundamental units —centimeter, gram, second, Where rate of heat generation degree centigrade, and calorie — is commonly used. is expressed as watts per cubic centimeter and heat flow as watts per square centi meter, it is then simplest to change watts to calories per second (1 cal/sec = 4.18684 watts). This set of units becomes systematic if the gram is replaced by a derived unit of mass equal to 4.184 X 10' g (used in the caloric unit syxtem — 4.184 joules is the equiva lent of the "thermodynamic calorie" proposed for this system). 1.33 The MKS system is also extended to provide a thermodynamic system by addition of the degree centigrade. The usual thermodynamic set of dimensions (Table 2) con English Units. 1.34 tains more than the four fundamental dimensions that would constitute a true dimen sional system. The units are, however, consistent and are in general use for calcu lating heat flow and heat balances when there is no significant conversion from work to heat or vice versa. Thermal Stress Units. Thermal stress units (Table 2) also constitute a 1.35 special-purpose but self-consistent set of English units. Dimensionless Groups. 1.36 Data for calculating dimcnsionless groups are given in this handbook in English thermodynamic units. The quantities entering into the dimcnsionless groups are such that all units cancel, even though all five fundamental units are involved.
For example, Prandtl number All
five
units cancel.
-r-
has
the
units
...
L
X
Reynolds number, even when used
in connection with fluid-flow problems, is calculated in terms of thermodynamic units. This avoids the confusion and unnecessary duplication of viscosity data in two different systems of units. 1.4
Electrical Systems
Four fundamental dimensions are required. Usually the three dimensions of a mechanical system are complemented by a fourth dimension which may be chosen from among electric charge, current, voltage, resistance, energy, power, permittivity, and magnetic permeability (Table 1). Electrical units are based on the absolute metric mechanical systems of units. •The gravitational acceleration ffmis invariant.
g varies slightly with latitude and altitude (see Art. 2.14), whereat-
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1-138
GENEHAL DATA
[Sec.
1
Classical development of electromagnetic and electrostatic theory led to two distinct and incomplete sets of cgs units. Many systems have been devised to unify these sets of units; the most successful is the mks system, which also yields units identical with the practical units of electrical engineering. The statcoulomb is defined as the charge 1.41 Absolute Electrostatic System. that exerts a force of one dyne on an equal charge one centimeter distant in free The statcoulomb is thus a derived unit, the centimeter and dyne being funda space. mental units. The permittivity of the dielectric appears as a divisor in Coulomb's law, and this quantity is therefore usually selected as a third dimension, the permit tivity of vacuum (or, for practical purposes, air) being taken as the unit of permit tivity. This incomplete set of three units is limited to static conditions; to accom modate change with time, the units are replaced by the three absolute mechanical The dyne (as units (centimeter, gram, and second) and the unit of permittivity. The units are called the cgs well as the statcoulomb) thus becomes a derived unit. absolute electrostatic units (aesu). In the aesu system, permittivity is numerically equal to the dielectric constant The aesu system is frequently used as an incomplete system, with (a pure numeric). the permittivity of space taken as the dimensionless constant unity. 1.42 Absolute Electromagnetic System. The abampere can be defined as that current which exerts a force of one dyne per centimeter of conductor length on an There are other equiva equal parallel current one centimeter distant in free space. lent definitions. As in the absolute electrostatic system, these two units (dyne and From Ampere's law, centimeter) are replaced by the centimeter, gram, and second. permeability is added as the fourth dimension, with the permeability of vacuum taken as the fundamental unit. The dyne, abampere, abcoulomb, etc., are con The units of this system are called cgs absolute electromagnetic sistent derived units. units (aemu). Like the aesu system, this system is frequently used as a simple cgs incomplete system, with permeability of free space assumed to be the dimensionless constant unity. The statcoulomb is greater than the 1.43 Symmetric Systems and Units. abcoulomb by a factor numerically equal to the speed of light. The difference in the units arises from the independent methods of defining charge; the magnitude of the factor is inherent in the nature of electromagnetic radiation. For problems involving both electrostatic and electromagnetic phenomena, a union between the absolute electrostatic and electromagnetic systems is necessary. Either system can be suppressed and the other extended to include all necessary units, but many of the derived units are inconveniently large or small. Alternatively the systems may be mixed, giving nonsystematic units with some power of c (the velocity of light) entering into many of the relations and definitions. Like the aes and aem systems, this system is also frequently used as an incomplete system with the dimensions of permittivity and permeability taken as zero and the magnitude as unity. 1.44 The practical electrical units are derived from Practical Absolute Units. the aemu system by applying powers of 10 as multipliers to yield units of a con venient magnitude: 1 ampere ("absolute practical ampere") = 1 X 10"' abampere, 1 volt = 1 X 10s abvolts, 1 ohm = 1 X 109 abohms, etc. Incomplete sets of practi cal absolute units (coulomb, ampere, volt, ohm, henry, farad, joule, and watt) are used in limited fields. 1.46 The MKS System of Units. The mks (or Giorgi) system provides a solution to the unsat isfactory coexistence of t wo absolute cgs systems, together with numerous compromise systems and an incomplete practical set of units. The units of the extended mks system are the meter, kilogram, second, and ampere (practical) or some other consistent electrical unit. Derived units include the coulomb, volt, ohm, watt, farad, and henry, all identical with the practical units as conventionally defined. Other derived units are so defined that proportionality constants are all eliminated with the exception of powers of 4jt inherent in spherical geometry. The derived unit of force is the newton, equal to 1 joule/meter or 106 dynes. The system is directly applicable to electrostatic and electromagnetic phe
Sec. 1-3]
UNITS AND CONVERSION
1-139
FACTORS
nomena, alone or in combination. In this system the permittivity of vacuum is 1.11 X 10~10 inks unit, and the permeability of vacuum is 10~7 mks unit.* 10ll/cs 1.6
Comprehensive or Universal Systems
Five fundamental dimensions arc required to express all possible relations of mechanics, thermodynamics, and electricity. Length, mass, time, temperature, and quantity of electricity are suitable fundamental dimensions for such a system. The mks mechanical units, extended by addition of the degree centigrade and the ampere (or an alternative electrical unit), provide the best all-purpose unit system. 2
FUNDAMENTAL STANDARDS
AND EXACT EQUIVALENTS
Precise measurement has revealed very small errors in previously established equivalents of units. The errors have no engineering significance, but the conversion tables of this section are based on the following officially accepted equivalents.
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2.1
Mechanical
Standards
Length, t'1 The primary standard of length is the meter as measured at 0°C 2.11 under prescribed conditions on the international prototype meter, a platinum-iridium bar kept at the International Bureau of Weights and Measures at Sevres, France. Similar secondary standards are held by countries contributing to the Bureau, and in 1927 the standard was provisionally given permanence and reproducibility by expressing it as 1,553,164.13 times the wavelength of the red line of the cadmium Other wavelengths are under consideration as spectrum (0,438.4696 X 10~7 mm). a basis for a new definition of the meter. 1
cm = 0.3937 in. (exactly)
J
2.12 Mass.1 The primary st andard of mass is the international prototype kilogram, standard kept at the International Bureau of Weights and Meas a platinum-iridium The kilogram was intended to ures, with secondary standards in other countries. equal the mass of 1,000 cm3 of water at the temperature of maximum density (3.98°C) and 760 mm of mercury, but the standard is actually equal to the mass of 1,000.028 cm* (approximately) of water under these conditions. 1 1
lb avoirdupois British lb
= 453.5924277 g (legal exact equivalent) = 453.59243 g (exactly)
The fundamental unit of time, one second, is 1/86,400 of a mean 2.13 Time. The mean calendar year, based on the standard procedure for selecting solar day.§ * Unrationalized system. The values for air are substantially the same as for vacuum, Superscript numbers refer to References at end of subsection. The Imperial yard is defined as X The legal equivalent is defined as 1 yd/1 meter = 3.600/3,937. Therefore 1 U.S. in. = 2.5400051 cm (approximately) and 0.9143992 meter, exactly.
t
1 British in. = 2.5399978 cm (approximately)
In both countries the industrially accepted equivalent, and the British Standards Institution, is
adopted by the American
Standards Association
1 in. = 2.54 cm (exactly)
This simplified equivalent is becoming increasingly accepted by other member nations of the Inter national Organization for Standardisation. Derived units are presumed to be based on the legal equivalents. } The solar day as measured by transit of the sun across a meridian is out of phase with the mean The variation throughout the year iB about half an hour. solar day as measured by the chronometer. The mean The mean solar or tropical year is 305.24220 mean solar days, or 305 days 5 hr 48 min 40 sec. See Ref. 2. It is expected that the calendar year is thus 26 sec longer than the mean solar year. International Bureau of Weight* and Measures will, in the near future, define the unit of time more precisely.
GENERAL DATA
1-140
[SEC.
1
leap year (years in which the date is divisible by four, except exact centuries for which the year date must be divisible by 400) is 365.24250 days or 3. 1 556952 X 10T sec. 2.14 Force. The kilogram-force and the pound-force are the forces exerted by gravity on the standard kilogram-mass and the standard pound-mass, at a location Standard gravity, or standard acceleration, of gratrity, is defined of standard gravity.* as go = 980.665 cm/secs equivalent to 32.1740 ft/sec1. 2.2 2.21 Temperature. is defined by assigning
Thermodynamic Standards
The Kelvin or thermodynamic scale, selected as fundamental, the temperature 273.16°K (exactly) to the triple point of
water, f The thermodynamic centigrade, scale conforms to the Kelvin scale, but. with the triple point of water taken as zero and the absolute zero as — 273.16°C. Since the definition of thermodynamic scales does not provide a readily measurable standard, the thermodynamic centigrade scale is represented by the international centigrade and specified scale, standardized by a platinum resistance thermometer calibration points. The Rankine and Fahrenheit scales are defined in terms of the Kelvin and thermo dynamic centigrade scales, respectively. The absolute zero is — 459.69°K on the Fahrenheit scale. Work, Energy, Heat. Nearly all engineering standards of energy are now 2.22 referred to the absolute joule.
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107 ergs = 1
joule (abs)
= 1 watt-sec
(abs)
The foot-pound is related to the erg through the length and force equivalents. Heat units are defined arbitrarily but are expressed in joules. Heat. The IT calorie (International Steam Table calorie) and the corre 2.23 sponding Btu have been adopted as standards in these conversion tables, p* The following equivalents are approximate. 1 cal 1 1 chu
Btu
(centigrade
= 0.00396832 IT Btu joules heat unit) or pcu (pound centigrade unit or pound calorie) = 1.8 Btu = 453.592 IT cal = 1,899.13 abs joules
=1
IT
cal
= 251.996
= 4.18684 abs joules cal = 1055.07 abs
IT
The absolute joule is the fundamental unit of heat (adopted by the Ninth General Conference on Weights and Measures, Paris and Sevres, 1948). The advantages of the joule as a unit of heat are its expression in absolute mechanical units, its easy representation and measurement in electrical units, and its independence of the heat capacity of water and of the variation of heat capacity with temperature. These units were originally defined in There is no legal definition of the calorie or Btu. terms of the heat capacity of unit mass of water per degree of temperature rise at some specified temperature or temperature range. The International Steam Table Conference * Force, defined in terms of standard gravity, is independent of geodesy. Weight, however, varies with gravity, and if force is measured by comparison with the weight of a standard mass. Force
= weight
X —
where g is the local gravitational acceleration. The ratio g/go ranges from 0.9974 at the equator to 1.0026 at the poles and decreases by 0.000314 for each 1,000 meters of altitude (0.000090 for each1.000ft of altitude). f Tenth General Conference of the International Bureau of Weights and Measures, 1954. Originally, the Kelvin scale was chosen to retain, exactly, the historic 100°C difference between the meltingpoint of ice and the boiling point of water, both at standard atmospheric pressure. The melting point of ice at atmospheric pressure is approximately 273. 15°K on the newly defined Kelvin scale, and theboiling point is also only approximately defined. X The author is indebted to Donald D. Wagman, in charge of data on chemical thermodynamic properties, Thermochemistry Section, Division of Chemistry, National Bureau of Standards, for guidance in this description of heat units.
Sec.
UNITS AND CONVERSION
1-3]
1-141
FACTORS
of 1929 defined the IT calorie as Jfjgo international watt-hour, which is equivalent to 4.18684 abs joules.* The Btu as defined above is derived from the relation 1 Btu/(lb)(°F) = 1 IT cal/(fr) (°C). Another calorie, the Ihermochemical calorie, defined as 4.18400 abs joules, is much used in chemical thermodynamics and thermochemistry. Table 3 gives approximate equivalents of heat units that have been widely used — all except the 20°C equivalent are by Griffith.3"
Table
3.
Various Calories and British Thermal Units Btu
Calories
Designation
4°C
cal
Designation
Joule equivalent
IT
Btu
equivalent
4.2040
1.0041
39°F
1059.52
1. 0042
60°F (60-6l°F)
1054.54
0.9995
equivalent
1S°C
4. 1855
0.9997
2CPC
(I9.5-20.5°C)
4. 1816
0.9987
iO-IOO°C)
4. 1897
1.0007
Mean (32-21 2°F)
1055. 79
1 .0007
Thermochcinical
4 184*
0. 9993
Thermochemical
1054.35
0. 9993
Mean
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IT
Joule equivalent
* Exactly, by definition. 2.3
Electrical Standards4
The
practical electrical units (ampere, volt, ohm, etc.) were defined, more than a ago, from the cgs electromagnetic units by applying the following powers of 1 amp ("absolute practical ampere") — 1 X 10_1 abamp (cgs); 10 as multipliers: The International Congress 1 volt = 1 X 108 abvolts; 1 ohm = 1 X 10* abohms. of 1 893 retained these definitions but also set up measurement standards as alternative definitions —a mercury column for the ohm, a silver voltameter for the ampere, and cell for the volt. a standard These units, called international units, were legalized by act of Congress in 1894. Discrepancies became apparent between the theoretical definitions and the measure ment standards and also among the three measurement standards, one of which was In 1908 the standard of voltage was dropped, but instead of the other redundant. two inaccurate measurement standards being corrected, the unfortunate decision was made to retain these as fundamental units of the International System and to abandon the basic relation to the cgs system. Later, standard wire resistors and standard cells became the accepted international reference standards, these still retaining the original deviation from the absolute system and also showing small dis crepancies among the responsible laboratories of different countries. This unsatisfactory condition was rectified, effective Jan. 1, 1948, by abandoning the international units in favor of the absolute (practical) units. f Calibrated wire resistors and standard cells continue to be the practical measurement standards. Revised equivalents were established as a preliminary to abandonment of the international units.
century
1
hence
mean int ohm = 1.00049 abs ohm 1 int volt = 1.00034 abs volts 1 mean int joule = 1.00019 abs joules (approx)
* A figure of 4.18674 has been widely used in the United States, but this is based on the former United electrical joule, which deviated slightly from the international mean value. States "international" See Electrical Standards below and Ref. 3. t The International Commission on Weights and Measures denned the units in the inks system Legalization by the United States Congress (Jan. 13, 1949) was in terms of the cgs (Oct. 29, 1946). system. The resulting units are, of course, identical.
GENERAL DATA
1-142
[SEC.
1
The international standards formerly used in the United States (and in other countries) differed slightly from the international mean standards; the conversion factors based on National Bureau of Standards measurements are: 1 1 1 1
int ohm = 1.000495 abs ohms 1.00033 abs volts int volt int amp = 0.999835 abs amp int coulomb = 0.999835 abs coulomb
-
1 1 1 1
int henry
= 1.000495 abs henrys int farad = 0.999505 abs farad int watt = 1.000165 abs watts int joule = 1.000165 abs joules
These conversion factors apply only to measurements referred to the United States former international standards. Special Units and Standards
2.4
Nonsystematic special units are denned in context with the conversion tables of dimensionally equivalent units. The units and conversion factors of nuclear physics are given in Art. 4 of this section.
CONVERSION FACTORS
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8
The conversion tables appear in the following sequence: mechanical, heat, electrical, In each category, the units generally regarded as fundamental and miscellaneous.* Within each table, metric units are given at the left in order of are given first. ascending magnitude; units of conventional engineering follow in convenient groups also in order of increasing magnitude. All factors are accurate to four significant figures. Quantities given to less than four significant figures are exact equivalents. 3.1
Use of Conversion Tables
To convert a quantity given in one unit to the equivalent expressed in another unit, locate 1 under the given unit and in the same horizontal row find the multiplier to convert to the desired unit. Example: Suppose a volume of 25 ft3 is to be expressed in cubic centimeters. The volume-conversion table (Table 6), fifth horizontal row, shows that 1 ft' is equal to A volume of 25 ft' therefore equals 25 X 2.832 X 10' = 7.080 X 10' cm'. 2.832 X 10" cm1. 3.2
Example ot Derivation
of Conversion Factors
Suppose it is desired to derive the conversion factor foot-pounds per minute. 1 kw — ft-lbf/min 1 kw X 1 min *
/ for
converting kilowatts
to
/
=
1
ft
X
1
lbF
It is necessary to develop the units of this ratio to units for which conversion factors are known. It is assumed for the purpose of this example that equivalents of the kilowatt in foot-pound-minute units are not known. 1
kw = 1,000 watts = 1,000 joules/sec = 10'° ergs /sec = 10'" dyne-cm /sec 1 dyne 10"> X dyne-cm ;/sec X 60 sec 60 — = f = V 1010 A X 1 lb,30.48 cm X 1 lb* 30.48
*
'
Known conversion factors can be substituted version table, 1 lbr = 4.448 X 10' dynes.
/
=
* Atomic conversion
^KTo 30.48
X
10'°
X ;
at any time, and from the force con
—
, i Q 1/ »»n 4.448 X 105 dynes
tables are given in Art. 4.
"
4425
x
10i
Sec. 1-3]
AND CONVERSION
UNITS
1-143
FACTORS
If as
it is desired to develop all ratios to fundamental units, 1 dync/1 Ihr is evaluated follows: In any consistent units, force = mass X acceleration; i.e.,
1 dyne
= 1 g 1
X dyne 1 \bF
1 lb^ =
1 em/sec2
X
1 g
32.17 lb.,,
1 slug
X
1 ft/sec2
1 cm /sec2
X
1 g
1 ft/sec2
X
32.17
= 32.17
X
lb* X
1
ft/sec2
1 cm
453.6 g
X
30.48 cm
1
X
4.448
10*
Table Centimeters
1 100 2 540 30. 48
Meters
0.01 1 0. 02540 0. 3048
Inches
Feet
0.3937 39.37 I 12
0.03281 3.281 0.08333 1
Metric Measures
=■I cm = I dm = I meter = I km 10-' meter 1 X 10"' mm = 1 1 micromillimeter m I x 10-« mm 10-' u 10-« (i = 1 X lO"1 mm I X 10-' cm = I X 10-< u = 0.1 imi I X 10"' A = I X 10-" cm
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10 ram 10 cm 10 dm I.OOO meters I a = I X 1 iiim =
X
4.
Length U.S. Customary
Measures 12 in. = I ft 3 ft = I yd 5.280 ft = 1.760 yards = I mile I mil = 0.001 in.
Nautical Measures 6 ft I fathom
-
120 fathoms = I cable length 1 international nautical mile (adopted July I, 1954, by Departments of Defense and Commerce) = 1,852 meters = 6.076.10333 ft (appro*.) I U.S. nautical mile = I geographical mile = 1 min of longitude at equator — 6,080.20 ft I British nautical mile = 6,080 ft
-
I light year
Astronomical Measures 5.879 X 10" miles = 9.461
-
Iw-IX I A =
I X-ray
unit
(XII)
=
Table Square centi meters
1 X 10« 6.452 929.0
Square meters
1 X 10~« 1 6. 452 X 10 '
0.09290
Square inches
0. 1550 1.550 1 144
6.
X 10" cm
Area
Square feet
0.001076 10.76 0.006944 1
Electrical Unit I cir mil (area of circle 0.001 in. in diameter)
Metric Measures I ha = 10.000 meters2 = 2.471 acrea I acre = 0.4047 ha
1-144
GENERAL DATA Table
Cubic centimeters
i
Liters
0 001000
1000 1 X I0« 16 39 2.832 X 10' 7.646 X I0»
1 1.000 0 01639 28 32 764.5
[SEC.
Volume
6.
Cubic meters
Cubic inches
Cubic feet
1 x io-«
0 06102
3.531 X IO-«
0 001000
61.03*
0 03532*
1
6.I02X I0<
1.639 X 10 >
1
0 02832
1.728
0.7646
4 666 X 10'
3785
3.785
0.003785
231
4546
4.546
0.004546
277.4
1
Cubic yards
0.001308 1 308
1
0.03704
27
1
0 1337 j
0 2642 264 2
5.787 X 10 < 2. 143X I0">
0.1605
Imperial Kalians
1 308 X 10 • 2 642 X 10-< 2 200 X 10 <
35 31
I
U.S. gallons (liquid)
0 2200 220 0
0.004329
0 003605
7.481
6.229
202.0
168 2
0.004951
1
0.8327
0.005946
1.201
I
1
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Fluid Measure* Fundamental Standards of Fluid Capacity. The metric, United States, and British units are defined independently. One liter is the v -lume of one kilogram of water at 3.98°C and 760 mm of mercury. This is equal to 1.000028 cubic decimeters, f the deviation from one cubic decimeter being the difference between the intended and actual mass of the standard kilogram. I U.S. gal — 231 in.3 exactly
(definition)
One Imperial gallon is the volume occupied by 10 pounds avoirdupois 30 in. of mercury. This volume is 277.420 U.S. cubic inches.
of distilled water at 62°F and
Metric Fluid Measures I liter 100 cl
1.000 ml I ml
-
-
-
I cm1 (approx.,
see above)
U.S. and British Fluid Measures 4 gills (gi) =- 1 liq pt 2 liq pt — 1 liq qt 4 liq qt = 1 gal
among the gill, pint, quart, and gallon are the same in United States and Note: The relationships British systems; the magnitudes of corresponding units are in the same ratio as the United States and the Imperial gallon given in the table. (approximately). One U.S. gallon of water at 62°F weighs 8.336 pounds avoirdupois 10 pounds avoir One Imperial (British and Canadian) gallon of water at 62°F weighs, by definition, dupois (exactly). 16 U.S. fl oz I U.S. liq pt (I fl oz of water weighs 1.042 oz avdp at 62°F) 160 British fl oz = I Imperial gal ( I fl oz of water wciglis 1 oz avdp at 62°F)
-
1 U.S. bu I British bu
-
Dry Measures 2.150.42 in." 2.219.34 in.1 (U.S.)
-
8 Imperial gait
Shipping Measures Internal capacity: 100 ft1 =■1 register ton Cargo: 40 ft' — 1 U.S. shipping ton 42 ft3 — 1 British shipping ton One board foot before dressing. multiplied by the the dimensions of
Lumber is the volume of one square foot of board one inch thick ( 144 cubic inches), measured The feet board measure (fbm), or board feet of flat lumber, is the area in square fe«t thickness in inches. The board foot measurement of dressed stock is calculated from the rough lumber required; thicknesses less than one inch are taken as one inch.
between the liter and 1.000 cm' is insignificant but may lead to a fourth-figure in rounding off if the fifth figure is very close to 5. t Units of Weight and Measure (United States Customary and Metric), Definitions and Tables nf Equivalents, Natl. Bur. Standards Misc. Publ. 214. July I. 1955. The United States gallon is legally only {The Imperial gallon is both a dry and a liquid measure. a liquid measure — one-eighth of a United States bushel is sometimes called a "dry gallon" (equal to 1.16365 U.S. gal).
•The difference
difference
units and conversion factors
Sec. 1-3]
Table
7.
Mass
Grams
Kilograms
Pounds (avdp)
Short tons
Long tons
1 1000 453.6
0.001 1 0.4536 907.2 1016
0.002205 2.205 1 2000 2240
1. 102 X 10-« 0.001102 0.0005 1 1. 12
9.842 X 10"' 9.842 X 10-' 4.464 X I0< 0.8929 1
9.072 X 10' 1.016 X 10'
Metric Wright* 1g 1.000.000 wg (or t) 1.000 mg 1.000 g = 1 kg 1.000 kg "* I metric ton or tonne atone*: I carat = I metric carat =» 200 mg
=>7.000 grains =» I short cwt = I short ton I long cwt 1 long ton 32.174 lb
"
I lb (lb avdp)
-
I lb (lb troy)
--
Troy Wrights*
12 oz (oz troy)
5760 grains
* The grain is the same as the avoirdupois measure; I pound troy — 5.760/7.000 pound avoirdupois, troy 1.097 avoirdupois ounce. (5.760 X l6)/(7.000 X 12) "Pound" and "ounce" always mean the avoirdupois measures unless otherwise stated or implied by context. The apothecary's pound and ounce are the same as the corresponding troy masses.
-
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1 ounce
-
Table 8.
Time
solar (or tropical) year = 365.24 days = 8,766 hr 5.259 X I0» min = 3.156 X 10' sec 1 day = 24 hr = 1.440 min = 8.640 X I0« sec
-
Table 9. Dynes
Newtona
Grams
(joules/'meter)
Force
Poundals
Pounds
Torque F°r equivalents of the dyne-centimeter, kilogram
(force)-meter,
1
X
10'
980.7 1.383 X 10' 4.448 X 10'
1 X 10 > 1 0.009807 0. 1383 4.448
0.001020 102.0 1 14. 10 453.6
Table 10.
7.233 X I0» 7.233 0.07093 1 32. 17
and foot-pound, use 2.248 X 10 • Table 15 (Energy, Work, 0.2248 faeand Heat) conversion 0.002205 tors. For quantities mens0.03108 ured in inch-pounds, first 1 divide by 12 to convert to foot-pounds.
Angular Measures Angular Velocity
Plane Angle Seconds
Minutes
Right angles or quadrants
Degrees
0.01667 2.778 X 10 • 3.086 X IO-« 1 0 01667 1.852 X 10 1 60 1 1 0.01 111 3600 60 5400 1 90 3 24 X 10* 4 1 296 X 10* 2 16 X I0< 360 3438 57 30 0 6366 2 063 X I05 » radians
-
Revolutions or circum ferences
Radians
7.716 X 10-' 4.848 X IO-« 4.630 X 10 1 2.909 X 10 ' 0 002778 0.01745 0.25 1.571 6 283 1 0 1592 1
Solid Angle* I sphere (or steregon) = 4* (or 12.5664) steradiana = 8 spherical right an gles. A ste radian is the solid angle subtended at the center of a sphere of ra dius r by an area r1 of the spherical surface.
GENERAL DATA
1-146 Table 11. Centi
Meters
meters per BCOOIIfi
1 100 30. 48 0.5080 44.70
[Sec.
Velocity
Table 12. Cubic
Feet per second
Feet per minute
Miles
per second
0.01 1 0.3048 0.005080 0.4470
0.03281 3.281 1 0.01667 1.467
1.969 196.9 60 1 88
0.02237 2.237 0. 6818 0.01 136 1
centi meters per second
per hour
1 472.0 63.09 75.77
1
Flow
Cubic
U.S.
Imperial
feet per minute
gallons per minute
gallons per minute
0 01585 7. 481 1 1.201
0.01320 6.229 0.8327
0.0021 19 1 0. 1337 0. 1605
For other conversions involving no change of unit use volume-conversion table (Table 6). I U.S. gpm = 8.02lp lb/hr = = density, lb/ft3, p' = 500. 7p' lb/hr where p
Nautical Velocity I knot (U.S.) = I U.S. nautical mile/hr = 1.152 statute miles/ hr = 1.689 fps = 51.48 cm/sec l or other nautical miles see Length convention factors
time
density,
g/cm*.
Mass Velocity mass per unit of time
Mass velocity
cross-sectional
= velocity X density
area of stream
The units are usually pound-mass, foot, hour (occasionally, pound-mass,
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Mass per Unit Length 1 g/cm = 0.005600 lb/in. = 0.06720 I lb/ in. = 178.6 g/cm 1 lb/ft = 14.88 g/cm
Mass per Unit Area
I g/cm* I psf
-
2.048 paf 0.4882 g/cm*
Specific
Gravity.
of a substance at a specified tem perature. Specific gravity is the ratio of the weight of a substance at temperature to the a specified weight of an equal volume of a reference substance (usually water), In also at a specified temperature. notations such as 20°C/4°C or 20/4C, the first temperature refers to the material and the second to If the the reference substance. is (as in the reference temperature 4°C, specific gravity is example) numerically equal to density in grams per milliliter. The dimen is ML-*; specific sion of density gravity is a numeric.
Gravity of Liquid* by Hydrometer
products)
and
Density is the mass per unit volume
Imperial
gallon
62.43 8.345 I 1000 0.03613 0.001 1 3.613 X 10' 0.06243 0.008345 1 1728 2.768 X I0< 231 27.68 16.02 5.787 X 10' 1 0. 1337 0.01602] 1 0. 1196 119.8 0.004329 7.481 0.8327 0.099781 99.78 0.003605 6.229
Liquids lighter than water:
foot, second).
lb/ft
Table 14. Baryes or dynes per square centi meter 1 1.807 X 10! 10 6.895 X I0< 478.8 1.333 X 10« 3.386 X I0< 2488 2.986 X 10* 1.013 X I0«
factors
units and conversion
Sec. 1-3]
Pressure
Kilo grams per square centi meter
~T7o2
1.020
x 10'
Newtons per Bquare meter 0. 1 9.807 X 10' 1
Centi
Pounds per square inch
Pounds per Bquare foot
1.450
0.002089
X 10' 14 22
meters of mercury at 0°C
1.450 io-< 1
73.56
0.02089
9.869
2.036
27.71
2.309
0.03591
0.01414
0. 1924
0.01603
0.3937
5.358
0.4465
0.01316
0. 1934
27.85
0 03453
3386
0.4912
70.73
2.540
0 002538 0.03045
248.8 2986
0.03609 0.4331
5. 197 62.37
0. 1866 2.230
1
2116
3.349
5. 171
1333
14.70
4.018
0.9678
X 10'
0.006944
1.013
2.953
32.84
9.869_
X 10-'
X 10'
47 88
X 10'
394. 1
3.349
X 10 '
Atmos pheres*
X 10'
4.882 io-< 0.01360
1
4.018
x io«
Feet of water at 60° F
X io-<
6895
1.033
28.96
7.501
144
Inches of water at 60° F
2.953" X 10 >
7.501
0.07031
x
Inches of mercury at 0"O (32°F)
X 10'
2048
x
1-147
76
x io-« 0.06805 4.725
X 10'
1
13.61
1. 134
0.03342
0.07348 0.8818
. 1 12
0.08333 1
0.0024S6 0.02947
29.92
407.2
33.93
1
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Units of Atmospheric
Pressure I bnrye — I dyne/em* = I bar 10' dynes/cm1 (This is the internationally accepted meaning; but 1 bar is also sometimes I dyne/cm9.) or
used as a synonym
of 1 barye
•The standard atmosphere is based on 76 cm (= 29.92 in.) of mercury at 0°C, at a location of standard gravity and iB defined by the Tenth General Conference on Weights and Measures ( 1954) as 1.013.250dynes/cm* or 101.325 newtons/ meter'. Hence I atm equals 1.01325 bars or 1.03323 kg force per square centimeter. (In power plant practice, steam condenser vacuum is referred to a 30-in. barometer instead of 29.92 in.)
Table 16. Kilo
Ergs (dynecenti
(force)-
meters)
metera
gram
Energy, Work, Heat
Joules (newtonmeters,
watt
Kilo-
Kilo-
Calories
watthourB
calories
. Foot pounds
Horse powerhours
British thermal units
Centi grade heat units
seconds) 1 9.807 X 10' 1 X 10' 3.6 X 10" 4.187 X 10' 4. 187 X 10" 1.356 X 10' 2.685 X 10" 1.055 X 10" 1.899 x 10"
1.020
1
X I0 »
X io-'
1
9.807
2.778
X 10-"
2 342
2.724
2.388
2.388
x io-»
X 10"" 0.002342
7.376
X 10 • 7.233
1
3 671 X 10» 0. 4269
3.6 X I0<
426.9
4187
0. 1383
1.356
2. 737 io» 107.6
X 10'
193.7
1899
x
4. 187
2.685 1055
0.2388
2.778
2.388
X 10'
X 10-' 1 1. 163
8.598 X 10' 1
0.001 163
1000
X 10 • 3.766
x io-'
859.8 0.001
0.7376 2.655 X I0« 3.088
1
0.3238
3088 1
3.238
X 10'
2.931
0.2520
778.2
5.275
453.6
0.4536
1401
X 10' X I0 «
641.2
3.725
1.98
9.478
5.266
X 10""
X 10""
0.009295
0.005164
9.478
5.266
X 10-'
X I0 «
X 10<
1.341
3412
1896
1.560
0.003968
0 002205
3.968
2.205
X 10 • 0.001560 5.051 1
0.001285 2544
7. 139
X io-< 1414
X I0«
Energy. Work, Heat I liter-atin = 24.20 cal 101.3 joules I (ft') (atm) 2.719 Btu I (ft1) (pai) = 0.1850 Btu
-
3.653
X IO"'
6.412 X 10' 252.0
0.7457
10"
X io-«
X 10-' 0. 1020
3.725
X
-
3.930
1
7.074
1.8
X 10 « X io-«
= 0.09604 Btu
0.5556 1
GENERAL DATA
1-148
Table 16. Kilo Ergs per second
1
gram
Watts
(force)meters per second
(joules
1.020
per--
Kilo watts'
second)
1
1
Calories per second
2.388
X 10 s
x io-«
X 10'
X 10-'°
9.807 X 10'
I
9.807
0.009807
2.342
1 X 10'
0. 1020
0.001
0. 2388
1 X 10"
102.0
1000
4. 187 X 10'
0.4269
4. 187
0.004187
4. 187
426.9
4187
4.187
1
238.8
1
[SEC.
Power
Kilo-
Foot
Foot
calories per second
pounds per second
pounds per minute
2.388
7.376
x io-» X
10"
7.233
2.388
0.7376
44.25
0. 2388
737.6
0.001
3.088
X I0«
1000
1
3088
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434.0
t
Btu
(IT)
Horse power
per hour
1.341
3.412
X 10-" 0.01315
1.356
0.001356
2.260 X 10'
0.002304
0.02260
7.457 X I0«
76.04
745.7
2.931 X I0«
0.02989
0.2931
5.275 X 10«
0.05379
0.3238
3.238
1
0.5275
2.260
0.7457
2.931
x io« 5.275
X 10-«
0.005397
5.397
0.01667
0.07000
0. 1260
550
7.0000
0.2162
X 10' 1.260
X I0«
X 10'
33.46
18.59
4.425 X 10'
1.341
3412
1896
185.3
0.005615
14.29
1.853
5.615
1.429
60
1
3.3 X 10' 12.97
7.937
7937
X 10' 0.001818
3.030
X 10-'
0. 1781
1.896
X 10-'
1.896
X 10« 178. 1
per
hour
3.412
X 10-' X 10'
Chu
0.001341
X 10' 0. 1383
1.356
4.425
X 10'
2.342
X I0»
X 10" X 10'
1
4.626
2.570
0.07710 0.04284
1
2544
1
3.930
1414
0.5556
X 10-' 0.3891
23.35
7.074
1.8
X 10-'
Horsepower = 33.000 ft-lb/min = 1.980.000 ft-lb/hr 1 hp = 550 ft-lb/sec (definition) = 1.0004 hp I electric hp = 746 watts (definition) I metric hp = 75 kg (force) -meters/sec (definition) 735.499 watts = 0.9863 hp I boiler hp = 34.5 lb water evaporated per hour from and at 2I2°F = 33.472 Btu/hr = 13.155 hp (heat equivalent)
-
745.70 »atu»
-
Refrigeration = 12.000 Btu/hr = 200 Btu/min = 4.716 hp = 840.0 cal/sec = 0.9055 British ton of refrigeration 1 ton of refrigeration (British) = 321.200 Btu/day = 13.385 Btu/hr = 223.1 Btu/min = 5.260 hp = 936.9 kcal/sec = I.I 15 U.S. tons of refrigeration equal to the latent heat of fusion of one short ton and one long The units arc approximately respectively, of ice per 24 hr. 1 ton of refrigeration
(U.S.) = 288.000 Btu/day
ton.
Sec.
1-3]
UNITS AND CONVERSION
1-149
FACTORS
Table
17. Viscosity Absolute Viscosity, u
Centipoises
Poises
1 100 1000 1488 4.788 X I0« 0.4134
0.01 1 10 14.88 478.8 0.004134
KiloKrani-mass
Pound-mass
(»ec)(nioter)
Pound-force (sec) (fti)
(see) (ft)
0.001 0. 1 1 1.488 47.88 4. 134 X I0<
6.720 X 10-' 0.06720 0.6720 1 32.17 2.778 X 10"«
2.089 X 0.002089 0.02089 0.03108 1 8.634 X
Alternative Dimensional System* The units of absolute viscosity are expressed alternatively in absolute equivalent gravitational units (dimensions FT/L1).
10'
I0«
units (dimensions
Pound-mass
(hr)(ft)
2.419 241.9 2419 3600 1. 158 X 10' 1
M/TL)
or in
1 dyne-sec /cm* 1 poise ™ 1 g /(sec) (cm) 1 lbM/(sec)(ft) I poundul-*ec/ftJ 1 slug/(sec)(ft) I lbF-sec/ft1 ' kgM/(sec)(metcr) = I newton-sec /meter*
-
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All tabulated viscosity data in this handbook are expressed in pound-mass per hour per foot units Laboratory data are expressed formally in centipoiaes, a metric unit of convenient size Hast column). for many liquids; water has a viscosity of I centipoise at a temperature of 20. 20°C (68.4°F). Kinematic Viscosity, v The kinematic viscosity is the absolute viscosity divided by the density cgs unit of viscosity is the stoke. I stoke = I cmVsec
= 0.1550 in.Vsec = 3.875
of the fluid: » ** u/o.
The
ftVhr
Viscosity can be measured in the laboratory by the time in seconds for free discharge of a given volume of fluid through the capillary of an efflux viscometer (viscosimeter). The kinematic viscosity in stokes can be calculated from the efflux time t by the empirical formula v = At —
B/t
cm1 /sec
on the Saybolt Universal scale (United States) and where A and B are 0.0022 and 1.8, respectively, 0.0026 and 1.72, respectively, on the Redwood scale (British). The viscosity of reactor coolants is below the useful range of these and similar viscosity scales.
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= I kcal/(kg)(°C) 1 Btu/(lb)(°F) I ohu/(lb)(°C) = 4.187 joules/(g)(°C) Specific heat was originally denned as the heat capacity of a substance relative to that of an equal mass of water at a specified temperature. The property was therefore a diinensionless ratio. The term is now generally used in the sense of heat capacity per unit mass per degree of temperature rise. 1 cal/(g)(°C)
Table
Thermal
21 .
Table 20. Heat Capacity
Conductivity
Cal
Watts
Btu
Btu
Btu
Calorie
Joule
Btu
(»tc)(cm)(°C)
(em)CC)
(hr)(ft)(°F)
(hr)(ft')(°F/in.)
per gram
per gram
per pound
241.9 57.78 12 1 0.08333
2903 693.3 144 12 1
1 0.2388 0.5556
4. 187 1 2.326
1.8 0.4299 1
0 0 0 3
1 2388 04961 004134 445 X 10-'
20.02
4. 187
4.782 1 0 08333 0.006944
0.2077 0.01731 0 001441
1 kcal/kg
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-
-
I cal/K = I elm /lb
1 joule/(sec)(cm)(0C) 1 watt/(cm)(°C) 1 joule/Ojec)(m)(°C) ! watt/(m)(°C) 0.01 watt/(cm)(°C) Thermal conductivity is frequently stated as heat units per unit time, per unit area, per unit of teml*;r;ture difference per unit thickness, written, for example, Btu/(hr)(ft,)(°F/ft). For consistent The inconsistent units shown in the last column units the designation can be simplified as in the table. are commonly used in practical problems involving heat conduction through plates, walls, insulation, etc. Conversion factors for the chu used in conjunction with the degree centigrade are the same as for the Btu used in conjunction with the degree Fahrenheit; e.g., the Btu/(hr)(ft)(°F) column serves also
-
forchu/(hr)(ft)(°C).
Table 22.
Heat Flux and Conductance
Heat Flux
Thermal Conductance
Cal
Watts
Btu
Cal
Watts
Btu
(sec) (cm1)
cm*
(hr)(ft»)
(hr)(ft<)
(sec)(cm')(°C)
(cm>)(°C)
(hr)(lt«)(°F)
1
4. 187
1.327 X 10' 3170 1
7373 1761 0.5556 1
0.2388 1.356 X I0«
0.2388 7 535 X 10 "■ 3 155 X 10' 1 356 X 10 -« 5.678 X 10-'
Chu
1.8
- IX
I watt/cm1 I joule /(sec) f cm1) I joule/CsecXmeter1) — I watt/meter* 10"* watt /cm'
Table
1
4. 187 1 5 678 X I0~«
I joule/(sec)(cm')(°C) I joulo/(sec)(meter,)(°C)
= 1 watt/(cm>)(°C) = I watt/(meter,)(0C) I X 10< watt /(cm') (°C) I Btu/(hr)(ft>K°F)
-
1 ohu/(hr)(it»)(°C)
Internal Heat Generation and Power Density
23. Watts
Cal
cm1
(scc)(cinl)
1 4 187 0.01788 1 035 X I0»
0.2388 1 0.004272 2 472 X 10 •
I watt/cm" I chu
-
Btu (hr)(in.<)
55.91 234. 1 1 5 787 X 10"«
1 Mw /meter1 1.8 Btu
-
7373 1761 1
Btu (hr)(ft»)
9.662 X 10' 4.045 X 10' 1728 1
1.000 kw/liter
1-152
GENERAL DATA Table 24.
Absolute (cgs) electrostatic, esu M KS or practical, prau Absolut* (ogs) electromagnetic,emu
c = 2.99793X I010,a numeric equal in magnitude to the speed of light in centimeters per second. Approximately,
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c
- 2.998 X
lOio, ct = 8.988 X 10», tT»
- 0.3336X IO-",
c~*
-
1.113X 10-"
Example*: 1. 500amp = 500 X 10-' abamp = 50 abamp. 2. I X 10»statcoulomhs (1 X I0»)/(I0"« X 2.998 X 10") coulombs
-
1 gilbert «■
- 3.336 X
10"* coulomb.
ampere turns
1 oersted — 1 gilbert/cm I gauss = I maxwell (or line) /cm*
Table 25. Grama per
liter
1 0.001 0.01712 0.01425
Parts per million*
1000 1 17. 12 14. 25
Concentration
Grain* per U.S. gallon
Grains per Imperial gallon
58.42 0.05842 1 0.8327
70. 15 0.07015 1.201 1
mg
mg
(em1) (month)
mg
(dm:)(mnntli)
(dm»)(
1 0.01 0.3042 211 7p 0.2117s 2. 540p
100 1 30. 42 2. 117 X 10V 21. 17P 254. Op
3 288 0.03288 1 695. 9p 0.6959p
1 month = Ka mean solar year. * p = density of material, g/cm1.
8.34l„
-
-
* Conversion based on parta by weight in water of density
Table 26.
Normal solution: One gram equivalent weight divided by hydrogen (molecular equivalent) per liter. Gold content of allay: The carat is the number of parts by weight of gold per 24 parts of alloy. 1 carat >i« (any mass 41.6667 mg/g. units)
physics (the cgs units and the supplementary units of the electrical systems) are generally used in theoretical physics. Since these classical units are inconveniently large for practical calculation on an atomic scale, convenient nonsystematic units are defined for limited use. 4.11 Atomic Mass Unit, amu. The amu, expressed in the physical scale, is defined as one-sixteenth of the mass of an O" atom. absolute
1
amu = (1.659790
+ 0.000044)
X
10~» g
this is the reciprocal of Avogadro's number on the physical scale. Electron Volt, ev. The electron volt is the kinetic energy acquired by a particle of unit charge (the charge of one electron) in falling through a potential difference of one (practical) volt. Numerically, 4.12
1
Barn.
4.13
This unit of
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1 4.14
Other Atomic Units. handbook.
= 1,000,000 ev
area is a measure 1
of the
Mev
barn millibarn
of nuclear cross section.
= 10~" cm2 = 0.001 barn
Other special units are defined in the various sections 4.2
Physical Constants
Several important dimensional constants are introduced to express laws of atomic nuclear physics. The values in Table 27 are from the compilation by Du Mond, et al.* The compilation by Birge* was in general use until Cohen,
and
recently.
4.3
Masses and Energy of Particles
Physical and Chemical Scales. In the physical scale, the atomic weight of as 16 exactly, whereas in the chemical scale, the atomic weight of oxygen in its natural isotopic composition is taken as 16 exactly. Atomic masses and derived constants may be expressed in either scale. Birge' gives 1.000272 ± 0.000005 as the ratio of atomic weight in the physical scale to atomic weight in the chemical scale, and this value is adopted by Cohen et al. Birgc's ratio is based on an isotopic composition Ol,:0":0H = (506 ± 10):1:(0.204 ± 0.008), but Nier7 and others have since shown that the isotopic concentration of natural oxygen varies with the source to an extent that causes the calculated ratio of the physical to the chemical scale to In the absence of an assigned standard range at least from 1.000268 to 1.000278. composition, the ratio therefore includes an inherent uncertainty, not associated with precision of measurement. Constants expressed per gram-molecule are all smaller, by the given ratio, in the chemical scale than in the physical scale. This applies to atomic weights, Avogadro's molar volume, the Faraday, and the universal gas constant. Atomic number, weights of the elements in their natural isotopic abundance are expressed in the chemical scale; hence the chemical scale generally applies in engineering calculations Particle and isotopic masses are expressed involving the above-stated quantities. in terms of amu in the physical scale. 4.32 Particle Masses, Energy Equivalents, and Wavelengths. Mass-energy equivalents are given in Table 28, data for particles in Table 20, and wavelengths and energy relations in Table 30. The values are those of Cohen et al.* 4.31
0"
is taken
1-154
GENERAL DATA Table 27.
[SEC.
Physical Constants*
Constant Avogadro number and related constantst Avogadro number N:
Value
Chemical
scale
(6.02322 (6.02486
Chemical
scale
22414.6
Physical scale Molar volume of ideal gas at 1 atm:
J
± 0.00016) X 10" mole"' ± 0 00016) X 10" mole > ± 0. 6 cm'}
X 10" cm > X I0"'«erg/°C IO-»ev/°C 10-'
/;'
Physical scale 22420 7 ± 0.6 cm' Loschmidt number (molecules /cm" of ideal gas at I atm) (2 68719 ± 0 00010) Boltzmann constant and related constantst oonstant, BolUmann k (1.38044 + 0 00007) (8.6167 ± 0 0004) X (4.7871 ± 0.0002) X = Universal gas constant. Nk:
0.00010) X 10 erg/(cm>)(°K)<(sec) >0. 00024) X 10"" calAcm'lCKi^secOt >0. 00018) X I0"' chu/(ft')(°K)< (hr) >0 00003) X I0-" ntu/(ft')(°R)«(hr)t 10"" erg/(cm»)(°K)«t 0.0013) 0.000013) (cm)(°K)
0.012cm-'
constant:
Fixed nucleus, lm/h'
atom, Hydrogen electron) Velocity of light:
lix/h1
(p = reduced
(1.63836
00007) X
00007) X 10" erg-' cm
mass of (1.63748
I0i;erg-'
± 0
Schrodinger
+
Density constant. 4,/e Wein's displacement law \„,*XT
X
'
-
X
cr
±
constant,
+ 0
Surface
± ± ± ±
Stefan-Boltziriann and related constants:
cm"1
1
X
a
A
is
t
±
:
2
c
+ 0 0
10'° cm/sec (2.997930 000003) c* 0000181 X 0!° em'/scc't (8.987584 + * Except where otherwise indicated, all data are taken directly from tables by E. R, Cohen et al.. Analysis of Variance of the 195 Data on the Atomic Constants and New Adjustment. 1955. Rev. Mod. Phyt., »7 363-380 (1955). adopted The ratio of the physical to chemical scales as given by R. T. Tiirite (1.000272 0.000005) by Cohen et al. In this table the constants on the chemical scale have been calculated using the ratio 1.000272 exactly. The "mole" and "lb-mole" mean the gram-molecule and pound-molecule, respec tively, on the appropriate scale. Derived from tables by Cohen et al.. lor. cit. Value by R. T. Hirge. New Table of Values of the General Physical Constants, Rett. Mod. Phym., Also, R. T. Birge, The General Physical Constants as of August, 13: 233 (1941). 1941. Phyt. Sor. (London), Reptt. Progr. in Phyt., 8: 90 (1942). *J X
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Chemical scale Physical scale
Charge-to-mass
J
± ± ± ± ± ± 0.
1 I
Chemical
1
UNITS AND CONVERSION
Sec. 1-3]
4.4 1
Mev/sec
1
watt
= 1.60206 = 3.8264 = 6.24196
Power
X lOr" watt = 1.60206 X 10"" kw X 10"" cal/sec = 5.4678 X 10"" Btu/hr X 10" Mev/sec
Power density conversion factors are given in Table 23. equivalents are given in Art. 5 of Sec. 1-1.
Table 28. Amu
(1.073951
+ 0 000011) »
± 0.00016)
X I0»
670.354
± 0.019
Equivalents*
(1.659790
Ergs
± 0.000044)
X 10
1
(1.78252
"
(1.491750
(5.61000
± 0.00004) 1
± 0.00011)
(1.60206
(0 624196 ± 0.000012) X I0«
± 0.00003)
X 10'
(8.987584
X 10"
± 0.000043)
X 10-'
X 10-"
± 0.000018)
X 10"
(1. 112646 ± 0.000002)
1
X 10"
I cv = (1.60206 ± 0.00003) X 1 Mev 1.60206 X I0"" joule
-
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Power, flux, and burnup
Grains
931. 141 ± 0. 010
x io
(6.02486
Mass-Energy
Mev
1
1-155
FACTORS
-
I0~"erg 4.4508 X I0"> kwhr
-
1.5188 X 10 = 3.8264 X I .• 2.147 X 10" cal = 8.518 X 10" Btu 8.988 X 10" joules = 2.496 X 10' kwhr lib 4.077 X 10" joules 1.132 X 10" kwhr = 9.737 X 10" cal = 3.863 X 10" Btu 1 ev/atom (or molecule) = 23047 cal/mole (chemical scale) I cal/mole (chemical scale) *« 4.3389 X 10"s ev/atom (or molecule)
-
-
-
" Btu 10" cal
•Equivalents are derived from the following values by Cohen et al.: c = (2.997930 ± 0.000003) X I0>»cm/sec, I amu = 931.141 ± 0.010. I g = (6.02486 ± 0.00016) X 10" amu. 1 ev (1.60206 ± 0.00003) X 10"" erg. The heat-conversion factor is taken as 4.18684 joules /cal, and the molar volume on the chemical scale as 2241 4.6 cm3.
Hydrogen mass /proton mass = 1.000544613 ± 0.000000006 Proton mass /electron mass = 1836.12 + 0.02 Reduced mass of electron in hydrogen atom = (9.1034 ± 0.0003) X I0~3B k * Except where otherwise indicated, all data are taken directly from tables by E. R. Cohen et al., Analysis of Variance of the 1952 Data on the Atomic Constants and a New Adjustment. 1955. Reva. Mod. ny$., 27: 365-380 (1955). t Calculated from data by Cohen et al., loc. cit.
GENERAL DATA
1-156 Table 30.
[SEC.
1
Wavelength and Energy Relations*
Property
Value
Photons:
-
Wavelength, X. cm Wave number, f
(12397.67 ± 0.22) X \0'>/B (8066.03 ± 0. \ 4)E
1A, cm"' Electrons: Compton wavelength, h/me, cm de Broglie wavelength, h/mv, cmt Neutrons: Compton wavelength. h/.\l„c. cm de Broglie wavelength, h/M.t: omt
(24.2626 ± 0.0002) X 10-11 (1 . 226378 ± 0.000010) X
lO'/JS"
(13.1959 (3.95603
± 0.0002) X 10"" ± 0.00005) X 10-'/»
(2.86005 ± 0.00004) X \0'/EH Velocity, v, om/sect (1.38320 ± 0. 00003)£^ X 10«J Velocity of 0.025-ev neutron, meters/sec 2187.036 ± 0.012 Energy, B, evt (5 22671 ± 0. 000006)v' X 10"t Energy of 2.200-meter /see neutron, ev 0.0252973 + 0.0000003 kT temperature for 2.200-m/sec neutrons, °C 20.426 ± 0.022J v = velocity, cm /sec E — energy, ev * Except where otherwise indicated, all data are taken directly from tables by E. R. Cohen at al.. Analysis of Variance of the 1952 Data on the Atomic Constants and a New Adjustment, 1955. Reve. Mod.
Phye., 17: 363-380
t
t
(1955).
Quantities involving velocity are for the nonrelativistic range. Calculated from data by Cohen ct al., lac, cit.
REFERENCES Units of Weight and Measure (United States Customary and Metric), Definitions and Tables of Equivalents, Natl. Bur. Standards Misc. Publ. 214, July 1, 1955. 2. Standard Time throughout the World, Noll. Bur. Standards Circ. 496, Aug. 1, 1950. 3a. Griffith, Eier: "The Heat Unit," Institute of Mechanical Engineers, London, 1951. 6. Stimson, H. F.: Heat Units and Temperature Scales for Calorimetry, Am. J. Phys.,
Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
1.
23: 614-622
4. 5.
6a.
(1955).
Establishment and Maintenance of the Electrical Units, Natl. Bur. Standards Circ. 475, June 30, 1949. Cohen, E. R., J. W. M. Du Mond, T. W. Layton, and J. S. Rollett: Analysis of Variance of the 1952 Data on the Atomic Constants and a New Adjustment, 1955, Revs. Mod. Phys., 87: 363-380 (1955). Birge, R. T.: A New Table of Values of the General Physical Constants, Revs. Mod. Phys.,
13: 233 (1941). R. T.: The General Physical Constants as of August, 1941, Phys. Soc. (London), Repts. Progr. in Phys., 8 : 90 (1942). of the Relative Abundances of the Isotopes of Carbon, 7. Nier, A. O. : A Redetermination Nitrogen, Oxygen, Argon, and Potassium, Phys. Rev., 77: 792 (1950). b. Birge,
BIBLIOGRAPHY CF-51-8-10: "Manual of Pile Engineering," AEC Technical Information Service, Oak Ridge, Tenn., Dec. 28, 1951. Cohen, E. R., K. M. Crowe, J. W. M. Du Mond: " The Fundamental Constants of Physics," Interscience Publishers, Inc., New York, 1957. Fundamentals," 2d ed.. Sec. 1, pp. Eshbach, O. W. (ed.): "Handbook of Engineering 148-166 and Sec. 3, pp. 01-35, John Wiley & Sons, Inc., New York, 1952. International Bureau of Weights and Measures: Reports of General Conferences. National Bureau of Standards: Various Circulars and Miscellaneous Publications. Zimmerman, O. T., and I. La vine: "Conversion Factors and Tables," 2d ed., Industrial Research Services, Inc.. Dover, New Hampshire, 1955.
SECTION
2
NUCLEAR DATA BY
SOODAK, B.S., M.A., Ph.D., Assistant College of New York.
HARRY
Professor of Physics,
The
City
CONTENTS 1 Fission- process Data 2 Cross Sections of Fissionable and Related
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Heavy
Atoms
3 Moderator Data Cross Sections 4 Fission-product 5 Thermal Cross Sections
PAGE
2-2 2—5
2-8 2-10 2-12
6 7 8 9
Integral Data Fast-neutron Data Radiations and Their Ranges Atomic Weights
Resonance
References
2-1
PAGE
2-24 2-27 2-34 2-35 2-36
NUCLEAR DATA BY Harry Soodak FISSION-PROCESS DATA
1
1.1
Energy from Fission*-1'8
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The energy from slow-neutron fission of U"5 is distributed as listed in Table 1. The large amount, 168 Mev, of fission-product kinetic energy is converted into heat The 7 Mev of 0 within the very short range of the fission products (see Table 35). The 18 Mev plus the capture energy is also converted to heat near the point of fission. 7 energy amounts to about 10 per cent of the total energy and is a source of heat in all parts of the reactor. The 11 Mev of neutrino energy escapes from the reactor and is not a source of heat. Table Space
J. Whitchouse, Progr. Nuclear Phy*., : I 20 (1952). t R. Gambia, Ph.D. Thesis, University of Texas, June, 1955. t Old, C. C, and J. W. Weil, TID-65, 1948. 1 K. Way and E. P. Wiener, Phya. Rev., 73: 1318 (1948). 1.2
Prompt-neutron
Spectrum1
Of the total number v of neutrons emerging from a fission process, the large fraction — 0) is emitted promptly, and the small fract ion 0 is the delayed neutrons emitted by excited nuclei formed in the jS decay of fission-product atoms. Values for the total neutron yield v are given in Art. 1.3. The c(l — 0) prompt neutrons emitted from a slow-neutron fission of U,si are born with an energy spectrum that is fairly well fitted by the theoretical expression (1
N(E) where
N(E) dE
=
{-J
e-" sinh (2E)H
is the fraction of neutrons emitted in the energy range between
* Superscript numbers
refer to References
at end of section.
2-2
(1)
E
and
Art.
(E + dE) and
E
mum at
E
is in Mev.
= 0.72.
The average neutron energy is 2.0 Mev.
Table
functions of E. The prompt-neutron that for U"s.
2-3
DATA
FISSION-PROCESS
1]
15
N{E) is a maxi
f* N(E) dE, and jg
of Sec. 7-3 lists N(E),
N(E) dE
Yields3
Delayed- and Prompt-neutron
*
1.3
within experimental error, the same as 5
spectrum for Pu23'
is,
as
(3
is
is
2
The delayed neutrons with significant yields fall into six groups. The neutrons of each group are emitted exponentially from the time of fission with a certain halflife. The half-lives are listed in Table along with the mean energy of neutrons in Also listed the precursor of each group. The delayed neutron each group. emitted following decay of the precursor atom. Delayed-neutron
2.
Littler
Half-life, sec
54 22
Precursor
Br"'
250 500 400 500 400
5.8 0.46 0. 16
im
Br'»»-»i>t
(I'")t
(Sb'» or As»')t
(Li')t
compiled from the various data presented in R. A. Charpie, J. Horowitz. D. J. Hughes, (eds.), "Physics and Mathematics," McGraw-Hill Book Company, Inc.. Now York,
t
Data in parentheses are uncertain. Li9 fragment in a small fraction of the fissions.
Tables
Mean energy, kev
is
J.
is
• This table
and D. 1956.
presumed
to be formed
as the long-range
low-mass
4
2
of Sec. 8-1 present data on relative yields of the various delay groups. to An important reason for this that the seen that the half-lives are not all alike. observed emission of delayed neutrons can be analyzed into sums of exponentials in more than one way. The relative yield of neutrons emitted in group 0%/f), where the number of delayed neutrons emitted in group per fission and vff the total rfii number of delayed neutrons emitted per fission. is
is
i
is
i
is
It is
Delayed Photoneutrons4
1.4
y
Delayed neutrons may also arise from photoneutron production by the delayed Because of the lack of high-energy 7s in fission-product radiations, delayed rays. photoneutrons are of significance only for reactors containing deuterium atoms or
Half -life and Maximum Yield
of Delayed Photoneutrons D20-U!3S Reactor*
2.5 41 144 462 1.620 5.940 15.840 190.800 1.105.000 * A. Lundby and N. Holt. Nucleonics, 12(1):
Yield. 78 24
10
•
Half-life, tec
B. 4
in
a
Table 3.
4.0 2.5 2.8 0.39 0. 12 0.05 24 (January, 1954).
chap.
1.
See Kef.
3.
if
is
3.
is
is
For these atoms, the photoneutron threshold energies are 2.22 and beryllium atoms. The half-life of each delayed photoneutron group 1.67 Mev, respectively. the the precursor of the excited atom emitting the 5-decay half-life of the atom that y ray. The half-lives and maximum yields of delayed photoneutrons in a DzO-UJ3S reactor are presented in Table The maximum yield that obtained all the *
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6 5 4 3 2 1
Group index
Half-lives, Energies, and Precursors*
2. 1
Table
2-4
NUCLEAR DATA
[SEC. 2
Absorption or fission-product 7 rays were born inside an infinite block of DjO. degradation of the y ray by fuel or other material and leakage of the y ray out of the important neutron region of the reactor would both reduce the yield below the maximum. Prompt Gammas
1.5
A fission in U"6 results in the emission of 7.5 Mev of prompt 7-ray energy. The energy spectrum of the individual y rays is roughly a decreasing exponential with 7-ray energy. The average 7-ray energy is 0.9 Mev, and thus somewhat over 8 7s are emitted (on the average). Delayed Gammas and Betas''8
1.6
About 6 Mev of 7-ray energy is emitted by the fission products as they 0 decay The rate of release of this 6 Mev diminishes with time and for not toward stability. too short times roughly behaves as
r
= 1.3r12
for
Mev/(sec) (fission)
t>
10 sec
(2)
»
= 0.032P«[r°
-
(t
+
for
t
Py
■•]
where I is the time in seconds after the occurrence of the fission and T is the 7 energy emitted in Mev per second per fission. This formula leads to > 10 sec f0
t
7
is
X
10uPje[r0-2
-
+ to)-"-*]
Mev /sec
for
I
-
(t
Py
2
If
is
is
a
is
the power of a reactor that has been running steadily for time sec, at where Pr the delay power at the time sec after which time the reactor shut down, and P-, shutdown. Pr expressed in watts and Py in Mev per second, then > 10 sec
(4)
is
7
0
I
0
3
t
7
7
is
somewhat higher than the value of Py The rate of energy during the first 10 sec rays peaks at about 0.8 Mev at — 10 sec. The spectrum of these after-shutdown and extends up to about Mev. For fission-product > 10 sec rays, the energy release for roughly the same as energy. that for rays. As a result, Eqs. (2), (3), and (4) apply also to the delayed The Fission Products'
1.7
ll
a
is
In 99.8 per cent of all fissions, the products are two heavy nuclei (fragments). In light particle of long range also emitted. the remaining 0.2 per cent of all fissions, Fission -product Distribution*
Atom or
I.
t
atoms
Rare earths Rare (rases Zr Mo Cs Ru Sr Te Ba
Fraction of total number of atoms after a burnup of 10 per cent at a thermal flux of I0U, per cent 24. 16.2 15.0 12.5 4
Table 4.
6.4 5.4 4.4 4.0 3.2 0.8
Br
92.3 7. 7
Subtotal Other element.*
is
*
J.
ToO Total W. L. Robb, J. B. Sampson, .1. H. Stehn, and K. Davidson, Nucleonics, 13 (12): 31 (1955). Nd, 9.9 per cent; Ce, 6.0 per cent; La, Distribution of specific ran? earths at 10 per cent burnup 3.1 per cent; Pr, 3.0 per cent; Pm, l.f per cent; Sm, 0.7 per cent; Eu. 0.5 per cent; Gd, 0.1 percent, See also Table of Sec. for a total of 24.4 per cent. 1 1.
4
t
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(3)
Art.
CROSS SECTIONS
2]
These light particles are presumed to be energetic up to 28
2-5
OF FISSIONABLE ATOMS
a particles with energies ranging
Mev.
The main fission products fall into two groups, the heavy group and the light The light group peaks at a mass number near 95, and t he heavy group peaks
group.
near 140. The yield at the peaks is G to 7 per cent and is lower by a factor of several hundred at mass number ~120 (corresponding to symmetrical fission) and at mass numbers 80 and 155. The kinetic energy of the light fragment peaks near 90 Mev. The heavy-fragment energy peaks near 60 Mev. The average total kinetic energy of both fragments is 168 Mev. Table 4 lists the atomic composition of fission products in a reactor that has had The composition 10 per cent of its U"5 content burned up at a thermal flux of 10u. changes only slightly with further burnup. 2
OF FISSIONABLE AND RELATED HEAVY ATOMS
CROSS SECTIONS
2.1
Spontaneous Fission14
Fission is an exothermic reaction. As a result it Table 5 lists rates for some heavy atoms.
Thermal Cross Sections*18
2.2
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can and does occur spontaneously.
Table 6 lists thermal-neutron data for fissionable and fertile materials. Data not taken from "Neutron Cross Sections" (BNL-325) are from Ref. 3, Chap. 1. The notation used is defined in Art. 5, Thermal Cross Sections. The numbers in paren numbers defined in Art. 5. The theses preceded by a multiplication sign are the
/
Spontaneous Fission Rates of Some Materials*
Table 5.
Material Th"» Us"
Number
U"<
gm U»"
rjm Np"'
Pu>" Pu>"
Pu»" Pu>«
Pu»«
of fileiont/(g)(tec) 4. 1 X 10' 8. 2 X I0>
» Studier and Huiienga, Phyt. Rev.. »6: 546 (1954).
Table 6. Atom
Thermal Data for Fissionable and Fertile Materials* ff„i,(2.200)," barns
Th»" U(nat) U»»
U"« rjiaa
Pu»»
.7,(2.200),
V
a(2.200)
,((/>) at 20°C
2 47
0.837
1.33
0.977) 524
2.55
0. 132
2. 29
590
2.47
0. 183
2.09
2.91
0.416
2.02
V^barns^
7.0 7.68
(X0.99) 593
(X
4.18
■
(X0.996)
(XI. Oil)
(X
(X0.977)
698
0.974) 2 75 1032
(XI. 073)
0 729
(X
».((*). barns
12.5 8.3
10 8.3
1.056)
for USM, Um, Pw,M are taken from page I of R. A. Charpie, J. Horowitz, D. J. Hughes, Littler (eds.), "Physics and Mathematics," chap. I by J. A. Harvey and J. E. Sanders, McGraw-Hill Book Company, Inc., New York, 1956, and differ somewhat from the BNL-325 values •
and of
The D.
Table
values
J.
23.
* Sec Ref. 3, chap. 1.
2-6
NUCLEAR DATA
[Sec. 2
neutron yield per fission v is independent of neutron energy in the thermal region. The cross-section ratios do, however, change (according to the As a numbers). consequence, the neutron yield per absorption ij is a function of neutron energy. For 2,200-meter/sec (0.0253-ev) neutrons, the ij values may be calculated by dividing » For a Maxwell distribution at temperature ~20°C, the values are by 1 + a(2,200). different and are listed under i)(th). For U, U233, and U236 the value of r)(lh) is insensi tive to neutron temperature change in the thermal region. For Pu23', it is found that Thus for Pu*" ri(lh) decreases by 0.0007 per centigrade-degree rise.
/
dr,(th)
dT 2.3
0.0007/°C
(5)
Cross Sections at Various Energies*
Table 7 presents for U"5 the average value of ofE^ (the product of fission cross By average value section times square root of neutron energy) for several energies. is meant the average over resonances in the neighborhood of the listed energy. For a pure l/v cross section, orE^ would be independent of energy. The table exhibits the departure of the average fission cross section from the l/v behavior and shows the cross-section "window" in the energy range of a few electron volts. Table 7.
Average Fission Cross Section of
U23S as Function Average value of
of Neutron Energy*
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Energy E
or energy range barn y/ev 0 97 1. 5-6 cv 21 7. 8-10. 8 ev 240 70 ev 240 100 ev 245 200 ev 275 270 400 ev 275 700 ev 1 kev 230 1. 25 kev 320 1. 75 kev 240 2. 2 kev 340 3 kev 305 5 kev 340 10 kev 370 20 kev 400 470 50 kev 100 kev 570 200 kev 670 * R. A. Charpie, J. Horowitz, D. .!. Hughes, and D J. Littler (eds.), "Physics Book Company. Inc., New York, 1956. chap. 3 by H. A. Bethe, McGraw-Hill
Table 8.
Capture-to-fission
Ratio for U2" and
Pu239
and Mathematics,'
for Various Neutron Spectra*
Capture-to-fission ratio for Spectrum of median fission energy, cv
TJjii
30 100 1.200 15.000
0.52 0.47 0.41
Pu«»
0.65 0.81
0.60 0.45
J.
* R. A. Charpie, J. Horowitz, D. J. Hughes, and D. Littler (eds.), "Physics and Mathematics," II, pp. 378-379. by II. Hurwiu, ,Ir., and R. Ehrlich, McGraw-Hill Book Company, Inc., New York, 1956.
chap.
Table 8 lists values of the capture-to-fission ratio a = ajar for U235 and Pu23* for These values were obtained by measuring the various spectra of incident neutrons. •See Ref. 3, chaps. 3 and 11.
Art.
2-7
CROSS SECTIONS OF FISSIONABLE ATOMS
2]
number of fissions and the number of captures that occurred in a sample placed in the
The incident-neutron spectrum was controlled by using various Hanford reactor. the sample. Measurements of 7; for U"3, U"5, and Pu2" at neutron energies of 30 and 900 kev are presented in Table 9. The neutrons used in these measurements were photoneutrons. shields around
Cross Sections for Fast Neutrons*
2.4
Cross sections averaged over the neutron spectrum at the center of some fast Also given are the calculated cross sections averaged reactors are listed in Table 10. The fast reactors and the neutron spectrum are described over the fission spectrum. in Art. 7. Transport cross sections are given in Table 32, Art. 7. It may be noted from Table 10 that the value of a for U"5 in the central spectrum of EBR I is
0.15 1.32
0.114
Using the value v = 2.47 + 0.1 = 2.57 leads to 17 = v/(l + a) = 2.31, which agrees with the 900-kev value of Table 9. For Pu"9, however, use of r 3.01 2.91 + 0.1 and a = 0.11/1.87 = 0.059 leads to tj = 2.84 as opposed to the 2.52 of Table 9.
-
-
Cross sections averaged over the equilibrium neutron spectrum of natural Table 31 characterizes this spectrum. given in Table 11.
uranium
are
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Table 9.
Values of
n
Materials at
for the Fissionable
Value of v for neutrona
30 and 900
Kev*
of energy
Atom
U"'
900 kev
2.25
2.60 2.28 2.52
1.86 2.01
Pu>» * M. S. Kozodacv,
30 kev
Proc. Intern. Con}. 4: 352 (1955).
Fission and Capture Cross Sections
Table 10.
Cross section, Atom and reaction
Fission in:
Tb"» U«" U"» U«" Np»"
EBR I
Godiva
at the Centers of Fast Reactor Cores*
barns,
at center
Zephyr I
of
Zephyr
Cross section for a fission spectrum,
II
barns
0.04
0.05
0.06
0.075
1.32 0. 152
2.36 1.46 0. 18
2. 19 1.36 0.21
1.94 1.28
0.8
l.87t
0.9 1.87t
1.3
0.79f
0.20 0.9
Au"" U"»
0.25f
0. 12
0. 174
0. 146
0. 137
lit
0. 10
0. 133
Pu»"
0. 15 0. I32t 0.
0. 130
0.096
Pu>"
Pu'"
l.87t
l.87t
0.28 1. 18 1.89
Radiative capture in: rjiM
* R. A. Charpie, J. Horowitz, D. J. Hughes, and D. J. Littler (eds.), "Phyaica and Mathematics," chap. 9. p. 289. by J. Codd, L. R. Shepherd, and J. II. Tait, McGraw-Hill Book Company, Inc., New York, 1956. t These values are calculated by using known cross sections aa functions of energy and averaging over the measured central spectrum of EBR I. X This cross section was obtained at the core boundary of EBR I. •See Ref. 3, chap. 9.
2-8
NUCLEAR DATA
Table
11.
[Sec. 2
Average Cross Sections in Natural Uranium Equilibrium Average cross section, barns
Atom and reaction
Fission in: U>"
Spectrum*' t
2.8
U"'
1. 8 0.01 0. 16 1. 80 0. 25
U"" Np'» Pu"« Pu»" Radiative capture in: Au1"
0.43 C»" 0.21 * R. A. Charpie, J. Horowitz, D. J. Hughes, and D. J. Littler (eds.), "Physics and Mathematics." chap. 9. p. 291. by J. Codd. L. R. Shepherd, and J. H. Tait. McGraw-Hill Book Company. Inc., New York. 1956. t Neutrons in spectral equilibrium in natural uranium. Such a spectrum is found some distance inside a block of uranium at a depth sufficient for the source neutrons to have lived several generation times in the uranium. Table 35 describes such a spectrum.
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2.5
Fission "Thresholds""
"
Fission, being an exothermic process, occurs spontaneously and is not a true threshold process. The probability per unit time that a nucleus splits is quite small, as shown by the spontaneous fission rates of Table 5. If the nucleus is given sufficient excitation energy, however, the fission activation energy barrier is overcome and the nucleus splits promptly. To within a few per cent, 5.25 Mev of -y-ray energy is sufficient to cause measurable photon-induced fission in various nuclei ranging from Th to Pu. This is the photofission "threshold." For the thermally fissionable nuclei, the binding energy of an incident neutron is sufficient to overcome the activa tion energy barrier. For the nonthermally fissionable nuclei, the binding energy must be supplemented by kinetic energy of the incident neutron in order to overcome the barrier. As a result, the fission cross section of these nuclei is essentially zero up to some energy and then rises rapidly to a first plateau, at which point the barrier is Table 12 lists the values of the fission cross section at the first essentially overcome. plateau that occurs near 2 Mev. Also listed are the energies E\<, and E\\a at which the cross section is one-half and one-tenth of the plateau value. Table 12.
Fission Cross Sections of Nonthermally Atom
«y(~2 Mev), barnst
Th«»
By,. Mevt
U"«
15 0.8
U"<
0 54
U"<
Nuclei*
Mev",
1. 25 0.46 0. 36
0.8 0 62 1. 1 1.45 0 6
14
Np>"
BMo.
1 4
0. 11 1.0
Pa"'
Fissionable
0.8 1 25 0 37
* Values from the curves of BNL-325. This value is reached at about t This is the value of the cross section at the first plateau. is the energy at which the fission cross section drops to half the plateau value, %
t
B^
to one-tenth
'a the energy corresponding
3
3.1
of the plateau
2
Mev.
value.
MODERATOR DATA
Nuclear Properties of Standard Moderators*-16-18
Table 13 presents some important nuclear properties of the usually considered moderators. The number N of molecules per unit volume is calculated from the formula
Thermal- Age from diffusioD fission to length thermal T, U cm cm*
2.85t 170 115 21 27 52
0.179 1 07 0.952 0.542 0.530 1.04
31 125 125 97 105. 155 365
'This value ia based on v«s« (2,200) = 4,8 millibams rather than the Table 19 value of 3.2 millibarns. The higher raiseis mentioned in Ref. 1. chap. 1.5. The actual value of
-
N
ia
number,
p
Avogadro's
is
is
The macroscopic absorption
is
is
is
if
is
r
is
is
is
is
in
a
is
£
is
is
density.
3.2
Metal-Water Mixturest
= — D&ptk where jtk chap. 1.5. 1.
in
t.See Ref.
is
is
The age from fission to thermal in mixtures of water with aluminum and water with zirconium given in Table 14 of Sec. 6-2. *
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M
the molecular weight, and the moderator cross section for neutrons of velocity 2,200 the sum of the absorption meters/sec is given by Afo-Oi,.(2,200), where o-0(,,(2,200) cross sections of the atoms composing the molecule, as given in Table 18. The given by N£a,(epi), where {o-.(ept') the sum over the atoms slowing-down power composing the molecule of the products times ' given by Ii'AToVu (2,200) and value to use in Fick's law* absorption cross sections used in the calculations are If, however, the Maxwell average cross sections
the current density
and ytk the flux of thermal
neutrons.
2-10
NUCLEAR DATA
[SEC. 2
Collisions and Time to Slow Down
3.3
According to the continuous-slowing-down theory, the number of collisions required to slow down a neutron from the energy Ea to the energy E is given by
fE"
IdE
Eo
1 ,
which is equal to 18/{ when E„ = 2 Mev and E = 0.0253 ev. Thus, 18/( may be called the number of collisions required to thermalize and is listed in Table 14. Table
Number of Collisions and Time Required to Thermalize
14.
Moderator
Time, 10 ' sec
Number of collisions
HiO
6.6
19 35 87 103 113
D,0 Be BeO
C
31 58 74 153
The time required to slow down from the energy
l
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[E>
dE
_
E<>to the
/l _
2
energy
E
is given by
1\
For the energy values chosen above, l/i>0 is negligible where v is the neutron speed. The resulting time may be called the slowing-down time and v ■» 2,200 meters /sec. and is also listed in Table 14. 4
FISSION-PRODUCT CROSS SECTIONS
For absorption of thermal neutrons, groups,
Xe136,
the fission products are divided into three fission products. Sm14', and the remainder, or "low-cross-section,"
Xenon10''
4.1
The first group, Tc>36
Xe'",
is part of the fission-product chain
2 min ->
I us
6.7 hr ►
Xeus
9.2 hr
>
Cs1"
2X10«yeara »
Ba1"
For fission in Um,
The yield the Xe13e atom is formed in 6 per cent of all fissions. for direct formation is 0.3 per cent. In the remainder of the 6 per cent, the Xe"* is formed by decay of I'". The Xe136 yield in Pu33* fission is about the same as in The thermal-neutron (Maxwell average) absorption cross section of Xe13' is TJ13S listed in Table 15 as a function of neutron temperature. The two possible sets of values that are listed are 13 per cent apart. Picking a cross-sectional value of a = 2.3 mcgabarns and taking the yield y = 0.06 result in the product
The atom
Sm1<9 is
Samarium13'"
the stable isotope of the fission-product chain 1.7 hr Nd>«»
>
Pm'»
47 hr »
Sm1"
and is formed in 1.3 per cent of fissions in U135. The thermal-absorption in the neighborhood of room temperature is 6.6 X 10* barns. * See Ref. 3. chap. 5. discussion
t For further
of Xe1,& yield and cross section see Table 26 of Sec. 1-1.
cross section
Art.
fission-product cross sections
4] Table
2-11
Maxwell Average Absorption Cross Section of Xem*
16.
Cross-section
possibility!
Neutron temperature,
°K
A, megabarns
B, megabarns
2 24 2.05 1.85 1.67 1.48 1.34 1.21 1.08
300 400 500 600 700 800 900 1000
2.50 2.30 2.08 1. 88 1.70 1.54 1.38 1.23
• R. A. Charpie. J. Horowitz, D. J. Hughes, and D. J. Littler (eds.), "Physics and Mathematics," chap. 5. p. 177. Fig. 9. by S. Bernstein and E. C. Smith, MoGraw-Hill Book Company, Inc., 1956. Possibility A refers to the case that the Xe115 reso t Tbe spin of Xe"1 is presumed to be / — — M m »» — Possibility B refers to the other oase, nance is due to + yi m 2.
J
J
Um Fission-product
Table 16.
Atom
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Xe'».
-
M -
8m'" Low-crons-section group.
Table
Estimated Fission-product
17.
Neutron
Cross Sections for Thermal Neutrons
Yield y and absorption cross section or«l« V = 6% 2.37 0.0018 (7" » neutron temperature in °K 300 < T < 1,000 1.3% V 6.6 X I0< barns (2.200) 100% V 1-80 barns at 0 % burnup , , \ = 65 barns at 10% burnup for 10" flux
energy cv
E,
Average
10* 10" 10' I0> 10*
Um
-
-
"
Cross Sections as Function of Neutron Energy*
fission cross section ay, barns
Fission-product absorption
cross section per fission, barns
23
15 2.8 0.49 0. 10
8.S 3.7 1.7 1.3
0.04f
* R. A.
chap. 1956.
Charpie, J. Horowitz, D. J. Hughes, and D. J. Littler (eds.), "Physics and Mathematics," 11. p. 376. by H. Hurwitz, Jr., and It. Ehrlich, McGraw-Hill Book Company, Inc., New York,
t This
value is about half of that estimated
4.3
on the basis of the
t-Mev cross sections of Table 25.
Low -cross-section Fission Products"•,1•"
The "low-cross-section" fission products can be regarded as if they were a single The cross section of this product fission product formed with a yield of 100 per cent. for U1" has been estimated to be 80 barns at 2,200 meters/sec. The composition of these low-cross-section fission products changes with time in the reactor because of the greater neutron absorption in the higher-cross-section atoms. As a result, the average cross section diminishes with time. At a neutron flux of 10'4, the cross section has dropped to 65 barns after a burnup of 10 per cent of the U2'5. The above results are summarized in Table 16, where the Xe cross section is taken at about the average of the possibilities of Table 15. 4.4
All cross Tables 18 and 19 present slow-neutron data for isotopes and elements. in these tables arc those of "Neutron Cross Sections," BNL-325. Table 16, however, suggests the use of a different value for the Sni1" absorption cross section. Tabic 6 lists different values for thermal data of the fissionable atoms. Also, Table 16 gives a different value for the thermal cross section of Xel". The subscripts describing the cross section a have the following meaning:
sections
A quantity denoted by 0(2,200) means the value of Q for neutrons of speed 2,200 A quantity denoted by meters/sec, corresponding to a kinetic energy of 0.0253 ev. If a Q(th) means the value of Q for thermal neutrons at a particular temperature. thermal value is listed without a corresponding temperature, it may be assumed that the temperature of the material in which the measurement was made was not far from The scattering cross section is listed for both thermal and room temperature. 'epithermal" neutrons. The epithermal cross section
a(th) tr,(epi)
= value for 2,200-meter
/sec neutrons value for thermal neutrons = epithermal or free-atom scattering cross section =
The quantity £ is defined as the average loss in the natural logarithm of the neutron For neutrons slowing down through the reso energy due to a scattering collision. nance region, £ is given by £
- i + Yzrr
r =
where
-
ln r
[j^)IV (M
^ (10,
and M is the atomic weight of the atom. The values of £ in Tabic 18 arc calculated from these equations. An approximate expression accurate to 1 per cent for M > 10 is
*mWTH
(u)
coil
=
T^j
The quantity cos 6 is the average value of the cosine of the angle through which the neutron is scattered. For neutrons slowing down through the resonance region, cos 6 is given by (12)
For thermal neutrons, which the formula used to obtain the values in Table 18. Eq. (12) may also be used except for small M and except for materials in which the effects of binding between the atom and its neighbors are important. is
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abs = absorption by any process including fission » = scattering F = fission act = activation c = capture, radiative capture, absorption by the ny process
Art.
THERMAL
5] Table 18.
Element
iH iD •II.-
iLi .Be >B
.0
iF itNe
uNa
uMl 11AI ••Si
I.P
i<8
itCI ,»A
,.K
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Slow-neutron
DATA
0.0084 0 0084
20 510
7.45 40
7.68
12.5
12.5
8.3
(X.99)
60 1.025
(XI.
9.6 075)
from BNL-325. 6.2
2,200
Meters/sec and Thermal Cross Sections
To calculate the thermal cross section for absorption or for fission, it is necessary to know the spectrum of the thermal neutrons and the cross-sectional variation with neutron energy through the range of thermal energies. The thermal cross section o(th) is an average value defined such that the product of a(lh) [or a macroscopic cross section based on a(th)\ times the total flux of thermal neutrons results in the correct value for the reaction rate. If the cross section varies inversely with the neutron speed (is proportional to \/v), and if the thermal spectrum is that of a Maxwell distribution at the absolute tem perature T„, then a(th)
=
^
(13)
where a(kT„) is the value of the cross section for neutrons of kinetic energy kT„ and k is the Boltzmann constant, (the universal gas constant R per mole divided by AvoThe kinetic energy of a neutron of speed 2,200 meters/sec is gadro's number).
Art.
thermal cross sections
5]
Table
2-15
2,200 Reaction Cross Sections by Isotope and Element*
19.
Reaction cr »s sections. 2.200 meters/sec Element
Isotope,
%,
TyJ
•H
332 ± 2 millibarns
H"(-~I00) H=(0.OI5)
0. 46 ± 0.10 millibarn
He'(0.000l3)
np 5.400 ± 300 0 71.0 ± 1.0 (m» 945)
I2.4years,
0.57 ± 0.01 millibarn
■He He«(~IOO) •Li
.Ho
Li«(7.52) Li'(92.48) Be'(54d)
iB
Be»(IOO) (18.5 per cent B">)
B'«(I8.8)
B"(8I.2) •C
C'«(98.89)
C'»(l.ll) jN
C"(5570 years)
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N»(99.63)
iO
.F
iiNe
N'»(0.37) 0'«(99.79) O"(0.037) O"(0.204)
F"(I00)
np 51.000 ± 6.000 no < 1 10 ± 1 millibarns 755 ± 2 (na 4.010) np <0. 2
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26 ± 5 of 3.2 hr— 2.3 yea r») 13.7 days. 15 ± 8 33 min. <2
(-100',
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Dyi«'(l39 BTHO
„Er
min)
Ho'"
Er'"(0. 136) Er'"(l.56) Er'"(33.4)
64 ± 3 166 ± 16
Er""(22.9) Er"»(27. 1)
s»Tni >.Yb
Er"°(l4.9) Tm'"(l00)
1.3 min. 510 ± 20 139 min. 2.100 ± 300§ (1.3 min — 139 min) 82 hr. 5.000 ± 2.000& 27.3 hr, 60 ± 12
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U"«(73 years) U'"(l .62 X I0l years) U"<(0.0057) (2.52 X I0> years) U»»'(0.714) (7.1 X 10>years) U'"(2.40 X 10' years)
where Tn is the neutron temperature on the Kelvin scale. All listed absorption and fission cross sections except those specially marked follow the 1/v law in the thermal region. The cross sections that do not follow the l/v law closely are so marked by placing underneath them the symbol (X/), where the num ber following the multiplication sign is the "/ number." For these cross sections, the number is denned such that the thermal value in a Maxwell distribution at Kelvin temperature Tn is given by
/
/
/
for not too high temperatures. For high temperatures, sectional curves of BNL-325 should be consulted.
In
used
computing ratios of absorption or fission cross sections, if the cross sections are l/v. In general °w(th)
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*™(lh)
=
/">o-<»(2,200) (2,200)
the
/
curves and cross-
the 2,200 values may be
U '
where superscripts (1) and (2) refer to the different cross sections and where it is understood that = 1 for a l/v cross section. In problems concerning diffusion of thermal neutrons, the correct cross sections to use are the thermal ones rather than the 2,200 values. Use of thermal values is con sistent with the use of thermal scattering cross sections and measured diffusion In problems where measured values of diffusion lengths are used, the 2,200 lengths. absorption cross sections may be used with only slight errors arising if they are multi value and if the diffusion coefficient D in Fick's law is chosen to be plied by their consistent with the absorption cross section jaau (2,200) and with the measured value of the diffusion length. The resulting values of D and of quantities (such as transport cross section) derived from D are not then consistent with scattering data and should Also, if the diffusion coefficient D is not be used together with scattering data. obtained directly from scattering data, then the use of 2,200 cross sections is incorrect and thermal cross sections should be used.
/
/
Footnotes to Table 19. • From BNL-325 and suppl. I. t Stable iaotopea are listed with their per cent (by atom) abundances in parentheses, whereas unstable isotopes are listed with their half-lives in parentheses. X Except where marked np (for a proton release reaction) or na (for an a release reaction), all absorp For the higher atomic tion cross sections up to uBi are due to radiative capture (n-y) reactions. numbers, all absorption cross sections are due to ny or fission reactions or both. •| The activation cross sections are the cross sections for the process that leads to the listed activity. Thus, for example, 0.S7 millibarn is the cross section of H' for formation of a radioactive atom of halfAll activation cross sections are due to ny reactions, except where the radioactive life 12.4 years. product is listed. In some atoms, more than one activity is induced by neutron absorption. Thus for CI", a 3.08 X l0*-year activity is caused by an ny reaction with a cross section of 30 ± 20 barns, and In an 87-day activity (due to S") is caused by an np reaction with a cross section of 0.17 ± 0.04 barn. The 10.4-min the case of Co" two activities are induced by the ny reaction, both being due to CoM. activity is that of an excited state of Co*0 and is formed with a cross section of 16 ± 3 barns. The 5.28-year activity is that of the ground state of CoM and is formed with a cross section of 20 ± 3 barns. Finally, The cross section for formation of either one of these activities is given as 36.0 ± 1.5 barns. it is stated that 99.7 per cent of the decays of the 10.4-min activity results in the formation of the 5.28-year activity. Other cases of isomeric activities (activities due to different states of the same nucleus) are treated in the same way. When the order of decay of the isomeric activities is unknown, it is so stated. f All cross sections so marked are values for thermal neutrons rather than 2,200 values. J Not l/v, X 0.981 ± 0.005. Not l/», X 1.075 ± 0.010.
»
2-24
NUCLEAR DATA
[SEC. 2
When a reaction rate is computed as the product of cross section times flux, same (thermal or 2,200) cross section should be used as was used in obtaining the value. If the flux value is calculated by dividing a measured reaction rate by 2,200 cross section, then this same 2,200 cross section should be used to obtain
the flux the the
reaction rate. Neutron Temperature"-"
6.3
Because of neutron loss by absorption or leakage, the neutrons are not in a Maxwellian distribution at the temperature T of the material. Because of stronger absorption at lower energies, the spectrum is shifted toward higher energies and the effective temperature T„ of the neutrons is higher than the material temperature. A . . relationship that may be used is
T
= 1 + o.9Af
(17)
am
6
INTEGRAL DATA
RESONANCE
Homogeneous Mixture*'"
6.1
For a homogeneous mixture of absorbing material and a weakly absorbing diluent material, the Wigner formula states that the probability p(i?o, Ec) of a neutron escaping capture by the absorbing material while slowing down from the energy E0 to the energy Ec is given by In p(£„, Ec) = .
.
Wnete
a„
=
an =
Nd
~
£ = £d
=
For
_ ~
-
A
1
(18)
^
fE°
h.
+
+
rj dEE
absorption cross section per atom or molecule of absorbing material resonant scattering cross section per atom or molecule of absorbing material nonresonant scattering cross section per atom or molecule of the absorbing material [ °° , the absorption integral A becomes A~ =
fB»
)b.
, =
dE a'h'-E
(20)
See Ref. 3, ohop. 6.
is
5
0 .
a
is
Values of A„ are listed in Table 20 for the usual experimental arrangement in which surrounded by thin layer of cadmium in order to eliminate capture in the sample by very slow and by thermal neutrons. For such cases, the value of Ec, the cadmium cutoff energy, depends on the thickness of cadmium used and on the ev. The energy E0 energy variation of
*
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where M is the atomic weight of the important moderating atom (H in HjO, D in D2O), a,(th) is the thermal scattering cross section of the important moderating atom, and 25, or for sufficiently absorbing media, Mo^lo, > 0.5.
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* R. A. Charpie, J. Horowitz, D. J. Hughes, and D. J. Littler (eds.), "Physics and Mathematics," chap. 6, p. 186, by R. L. Macklin and H. S. Pomerance, McGraw-Hill Book Company, Inc., New York, 1956. t The calculations of the resonance integrals separate the value into two components, a pure reso In this table, the l/p contribution is taken as 0.44 times nance contribution and a l/p contribution. the cross section at 2,200 meters/sec. X These are values of the resonance fission integral. The cutoff •I This value is estimated graphically from a curve of fission cross section vs. energy. energy here is 2.0 ev.
energy and may be regarded as fission spectrum energy. The value of Aa is inde pendent of the temperature of the mixture. For finite dilution, the absorption integral A is a function of Nd
cross section
(barns)
present
per absorbing
atom of
Absorbing atom
Th«» * L. Dresner,
20
80
200
2.000
12.5 11.5
25 21
38 31
99 66
Nuclear Sci. Eno., 1: 68 (1956). 6.2
Lattice Arrangement*
For a lattice cell consisting of a lump of material surrounded by a weakly absorbing moderating material, Eq. (17) is replaced by In p(£„, B.)
Nuiwu +
A„ NdZdo-d
where it is here assumed that the lump may contain absorbing material and * See Ref. 1, chap.
1.5, and Ref. 3, chap.
6.
(21)
+ fr*
diluent
material
as well
as
Art. "u
FAST-NEUTRON
7]
= epithermal
2-27
DATA
scattering cross section c,(epi) per atom or molecule of moderating
material
in = average loss in In £ per scattering with moderating material Nm = ratio of number of moderating atoms or molecules in cell to number of absorb ing atoms or molecules = "effective" absorption integral A.ff Equation (21) is valid only when the energy average flux of resonance neutrons is con stant across the lattice cell. Any spatial variation (such as the spatial depression caused by absorption in the lump) must be corrected for. According to a modification of the Wigner formula, the effective absorption integral is given by 1.//
-A[
1
+
n/A (M/S) +
A +
Xo-
(M/S) +
(22)
X„
A is the absorption integral of the lump material and is given by Eq. (19), M/S ratio of lump mass to lump surface area, n is an integral involving the square of the integrand of Eq. (19) and is such that for large lumps (large M/S) the surface absorption Atff — A is given correctly, and X0 is a parameter chosen to allow A,// to where
is the
approach A* as the lumps diminish Thus, X0 is given by
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X« =
toward
atomic size
*/A
(AJA)
-
(M/S
approaches
zero).
(23)
1
Table 22 lists values of A, ii/A, and X0 for lumps of undiluted U metal and Th'" For lumps of diluted U or Th (e.g., oxides of the metals), A may be obtained metal. Table 23 lists values of n/A for diluted U as a from Table 21 and Am from Table 20. function of Ndcd + «■»., the scattering cross section present per atom of U. Table
22.
Parameters for the Effective Absorption Integral from Cadmium Cutoff in Lumps of Ths» and U"** Material
A, barns
nl A, g/cm'
Xo, g/om*
8.37
0.55 2.95
o.ot
Th"" metal U metal
10.2
0.
II
J.
" P.. A. Charpie, J. Horowitz, D. Hughes, and D. J. Littler (eds.), "Physics and Mathematics," chap. 6, p. 104. by R. L. Macklin and H. S. Pomerance, McGraw-Hill Book Company, Inc. New York, 1956.
Table
23.
Surface Absorption Integral p/A in Homogeneous Containing Uranium* Scattering croee lection per U atom,
Surface absorption integral p/A,
tarns
g/cm'
8. 3 (pure U) 20 40 60
2.95
1.8 1.0
0.5 * From U.S. Atomic Energy Commission, " Reactor Handbook 3645. McGraw-Hill Book Company, Inc., New York, 1955. 7
Mixtures
vol. I. p. 521. Fig. 1.5.20, AECD-
FAST -NEUTRON DATA
Cross sections of fissionable and related heavy atoms are given in Tables 7 to 12. Cross sections of fission products are given in Table 17.
NUCLEAR DATA
2-28 7.1
[Sec. 2
Absorption Cross Sections*
Table 24 lists for some materials the ny cross sections for Sb-Be photoneutrons of effective energy 30 kev. Table 24.
Radiative Capture Cross Sections for Sb-Be Neutrons of Effective Energy 30 Kev* Crou
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* V. Hummel and B. Hamermesh, Phyt. Rev., 81: 67 (1951). t The quoted errors are ± about 20 per cent.
Table 25 lists the ny cross sections for fission neutrons of listed effective energy Mev. It is seen that the behavior of the 1-Mev capture cross section is a general increase toward heavier atoms, accompanied by sharp drops at the magic neutron numbers 50, 82, and 126. Table 26 lists cross sections averaged over the fission spectrum for threshold np and not reactions in various materials. 1
7.2
Transport Cross Sections
A cross section often used in multivelocity diffusion cross section a,„ defined by "u = "tot — «"««cos 8, where
cos 8, = average value of the cosine of the angle of scattering in elastic scattering ffioi = o-„t, + a„ + "Vn« = total cross section oin, = inelastic scattering cross section
In one-group calculations, use is made of the one-group transport cross section a',r, defined by o'lr = Oft — "tt COS 6, — (7i„, cos 0,-„
where cos
0
(25)
average value of the cosine of the angle of scattering in inelastic that cos 6\„ = 0, in which case the two transport
It is often assumed scattering. cross sections are equal.
trtr —
a'„
when cos
0,„
— 0
(26)
The two cross sections are always equal for lower energy neutrons where inelastic scattering does not occur. Thus, when o-,,, = 0 "tr = a'tr — ftct — a, COS 8 =
-
* See Ref. 3, chap. 9, and Ref. 29, chap. 4.
Art.
FAST-NEUTRON DATA
7] Table 25.
Atom
nNa"
nH|» iiAl" i«Si"
iiC\"
i«A'»
nK" ioCa«
uV" «Mn« «iCo» i«Ni"
JlCu" iiCu" i.Zn»»
i.Ga" iiAs" i»Br" >iBr«
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Element
Cross Sections Cross section, barns
«Ti
2.1 2.1
•iCo
47Ag
3.0 2.5 2.8 3.3 3.5 4.8 4.6 4.2 4.6 4.4 4.4
win
4.1
i.Fe t.Ni »Cu icZn i«Se
iiSr nZr
.iNb «Mo
Neutrons of Energy
Element
1
Mev*
Cross section, barns
ioSn ■.8b
•iTe isBa iiCe 7lHf 7iTa 74W 7tAu toHg 11Pb
*.[
tiBi
4. 1
i.Th
5.3
* M. Walt and H. H. Barschall, Phyt. Rev.. 93: 1062 (1954).
Equation (27) applies to slow and intermediate energy neutrons, with a, being the ordinary elastic scattering cross section. The equation is sometimes written as — cos 6), which is valid if a^, is small. otr = o-,(\ Table 27 lists values of the transport cross section o-,r for 1-Mev neutrons. Table 28 lists values of the one-group transport cross section a'tr for neutrons having the energy spectrum in Godiva. 7.3
Fast Reactors
Tables 10 and 28 present average, or one-group, cross sections appropriate to the neutron spectrum in the listed reactors. The reactors include EBR I, Godiva, Zephyr I, and Zephyr II. The compositions of the cores of these reactors are given in Table 29. Godiva is an unreflected reactor. The others have reflectors of natural uranium. A rough comparison of the neutron spectra in Godiva, EBR I, and the fission spectrum is presented in Table 30, which pertains to the spectra at the center of the listed reactors. The spectrum at the core boundary of Godiva is slightly more energetic than the central spectrum because neutrons near the boundary have made fewer collisions. In EBR I, the spectrum at a point near the core boundary was
Art.
FAST-NEUTRON
7] Table
28.
2-31
DATA
One-group Transport Cross Section Transport
a'iT
in Godiva Spectrum*
cross section barns
Atom Be B C
1.1 2.2 2.2 2.5 4.5
Fe
An Bi Th»»
5.1 5.1
U»" U"s
6.0t 6.5 5.6
U>"
7 6 Pu»» * R. A. Charpie, J. Horowitz, D. J. Hitches, and D. J. Littler (cds.), chap. 9. Tables 7 and 8. by J. Codd, L. R. Shepherd, and J. H. Tait. Inc., New York, 1956. fThis number is from Zephyr II.
Table 29.
"Physics and Mathematics,"
McGraw-Hill Book Company,
Composition of Fast Reactor Cores*
Fraction of volume occupied
by material in core of
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Material Godiva
EBR I
1 0 0
0.55 0.25 0.20
u»»t NaK Steel
Zephyr I
Pu U(nat)
Ni
Cu Fe
Air
Zephyr
0.48 0.33 0.10 0.02
II
0.52 0 0.11
0.02 0.06 0.29
0
0.07
* R. A. Charpie. J. Horowitz, D. J. Hughes, and D. J. Littler (eds.), "Physics and Mathematics," chap. 9. p. 287. by J. Codd, L. R. Shepherd, and J. H. Tait, McGraw-Hill Book Company, Inc., New York. 1956. t This is uranium enriched to above 90 per cent in U"1.
Table
30.
Comparison of Neutron Spectra in Fast Reactors Fraction of neutron density in the group for
Energy group, Mev
0-0.4 0.4-1.4 >1.4
Godiva center*
EBR I centert
Fission spectrum
0.21 0.41
0.31
0.10 0.34 0.56
0.38
0.37 0.32
•
R. E. Peterson and G. A. Newby, Nuclear Set. Eno., 1:112 (1950). t H. V. Lichtenberger, F. W. Thalgott, F. W. Kato, and M. Novick, Proc. Intern. Con/. 3: 345, Geneva (1955). found to be slightly degraded in comparison with the central spectrum as a result of inelastic scattering in the uranium reflector. The spectrum deep inside the uranium reflector is that for which the cross sections of Table 11 apply. An approximate spectrum of neutrons in spectral equilibrium in uranium is presented in Table 31. This neutron flux spectrum is fairly uniform in the
2-32
NUCLEAR DATA
[Sec. 2
range 0 to 0.2 Mev with a peak at about 0.1 Mev. For higher energy neutrons, it At 1 Mev, the flux per unit energy range is drops approximately exponentially. about 10 per cent of the peak value. Natural Uranium Equilibrium Spectrum*' f
Table 31.
Energy group, Mev
0-0.2
Fraction of
neutron flux in energy group
0.35 0.55 1-2 0.08 0.02 >2 * From R. A. Charpie, J. Horowitz, D. J. Hughes, and D. J. Littler (eda.), " Physics and Mathematics," chap. 9, p. 290, Fig. I J, by J. Codd, L. R. Shepherd, and J. H. Tait, McGraw-Hill Book Company, Inc., New York, 1956. t This is the spectrum measured at a depth of about 20 cm inside the uranium blanket surrounding the core of Zephyr. It is claimed that this spectrum is only slightly less degraded (from the original fast neutrons leaking out of the Zephyr core) than that which would obtain at a larger depth inside a larger uranium block. See Table 15 for cross sections averaged over this spectrum. 0.2-1
7.4
Inelastic and Nonelastic Cross Sections
The nonelastic cross section an, is defined by
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0~ne — Olol — 0~$t ™ 0~abt
T ff»n»
(28)
Values of an, for various materials at several neutron energies are presented in Table If the absorption cross section is small, then a„, = e^,,.
32.
Table 32.
Nonelastic Cross Section for Fast Neutrons at Several Energies* Cross sectiont (barns) at Element 2.5 Mev
.C
nNa nMg
0.5 0.8
11AI
1.0
uP isS
irCl «oCa
»iCr wFe »rCo
isNi
iiCu
4. 1 Mev
0.8
0.6 0.8 0.8
0.7 0.5 0.6 0.4 1.4 1.2 1.4
0.8 1.6
1.5
2.2
1.7 1.6
1.4 1.35 1.4 1.4
1.4 1.7
41M0
1.9 1.9 2. 1
.«Cd
2.2
2.3
2.3
itSn .iSb uTe
1.7
1.7 2. 1
2. 1 2. 1
uBl
0.6
nPb
1.7
M. V. Pasechnik, Proe. Intern. Conf. t Quoted errors range from 5 to 50 per
1.8 1.8 1.9
2.0 1.9
2 0
0.8 2.6 2.6
1.7 1. 1
1.3
2.2
••I ••Ba 7.W -..11k
0.6
1.6
i.Sc
2.0 2.0
14 Mev
0.9
loZn
«Ag
*
3.3 Mev
2.2 1.0
V4
0.6
1.7 1. 1
2 4
2.4 2.4
2. Paper 3 (1956). The majority are in the range cent.
10 to 15 per cent.
Art.
FAST-NEUTRON
7]
Table
2-33
DATA
33 presents the (inelastic) cross section for scattering of neutrons above the
energy E to below the energy E for various materials and several E values. If the neutrons of energy greater than E are treated as one group, the listed cross section is then the group average cross section for scattering out of the group (to below E). The listed cross sections apply to the case in which the neutrons in the group have the fission spectrum. Table 34 breaks up this one-group cross section for E = 1.4 Mev into two parts. The cross section for scattering into the energy range 0.4 to 1.4 Mev is listed along with that for scattering to below 0.4 Mev. The sum of these two is the net group cross section of Table 33. Table 33.
Inelastic
Scattering of Fission Neutrons*
Cross section, t barns for scattering from above to below
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Element 0. 7 Mev
1. 4 Mev
5 Mev
iiAl
0.09 0. 19
0.32 0.56 0.58 0.69
0.76
»«Ti
..V »Fe iiNi itCu
0.22 0.28 0.28 0.30
■oZn
0.31
wZr «7Ag «.Cd io8n 7.W 7»Au
uPb
uBi
1.20 1.31 1.41
0.71
0.90 0.96 0.96
0.30 0.84
1.57 1.99 2. 14 2.01
1.66 1.52 1. 12 2.23
0 66
0.37 1 08 1.00 0.21
0.20
2.04
2.72 2.68
0.71
2.21
0.73
2.35
A. Bethe, J. R. Beyster, and R. E. Carter, LA-1429. December, 1955. Quoted errors are about 15 per cent for the 0.7 Mev cross sections, 7 per cent for the 1.4- and 5 per cent for the 5-Mev cross sections. • H.
t
Table
34.
Inelastic Transfer Cross
Section for Fast Neutrons*
Transfer cross section,
f
barns
Atom
iiAl
.iTi nV
itFe
IiNi iiCu loZn .oZr
«Ag 4iCd toSn r«W 7§Au •«Pb •iBi
J.
»li
ffn
0.27 0.48 0.49 0.56
0.05 0.08 0.09
0.61
0. 13 0. 10
0.78 0.82 0.80
0.12 0.13
1.19
0.47 0.60 0.25 0.55 0.53
0.92 0.87 1.68 1.51
0.60 0.61
0. 16
0.
II
0.12
R. Beyster, and R. E. Carter, LA-1429. December, 1955. **§ is the atomic cross section for scattering neutrons (by inelastic scattering) from group group ;. Group I is 0 to 0.4 Mev; group 2 is 0.4 to 1.4 Mev; group 3 is greater than 1.4 Mev. • H. A. Betbe,
t
i
to
2-34
NUCLEAR DATA 8
[Sec. 2
RADIATIONS AND THEIR RANGES 8.1
Charged
Particles"-"
Charged particles at velocities usually encountered in reactors and related facilities lose most of their energy by ionizing the atoms of the material they are traversing. On the average, the particles lose 33 ev of kinetic energy per ion pair produced. The range of electrons in aluminum is given to within 5 per cent by the formula
„.
.
«3(mg/cm«)
J |
= 412£» -m-o.oin m* 530£ 106
_
_
for 0.01 2 5
.„„,
(29)
where i?fl(mg/cms) is the range in milligrams per square centimeter of aluminum of an The range in other materials is roughly the same electron of kinetic energy E Mev. in milligrams per square centimeter. Table 36.
Maximum
Range of Fission Products* Range, mg /cm1
Material
Air Al
3.0 3.7 5.2
Cu
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* E. Segr* and C. Wiegand,
U
12.6
Phyt. Rev., 70: 808 (1946).
The range of a particles in air at standard conditions is given to within by the formula . . . / = 0.56S for E < 4 „ . Ka(cm of air) _ I UE _ 2 62 for 4 < £ < 8
j
10
per cent /om (30)
In other materials, the range of a particles where E is the a-particle energy in Mev. is given to within 15 per cent by the formula fi„(mg/cm')
-
0.56A^ft„(cm of air)
(31)
where A is the mass number of the material. For protons, an approximate formula is
RP(E)
« Ra(4E)
(32)
which states that the range of a proton of energy E is approximately that of an a of energy 4E. The maximum range of fission products in some materials is given in Table 35. 8.2
Neutrons*""
In contrast to charged particles, which have a definable range, neutrons and y rays In this exponential approximation, use are stopped approximately exponentially. is made of the relaxation length, which is the thickness of material that, owing to absorption, causes a drop in intensity by a factor of e. For thermal neutrons, the relaxation length is equal to the thermal-diffusion length, Thus, thermal neutrons can which can be made quite small in absorbing materials. be shielded out in a fraction of an inch of boral. Neutrons of energy up to about 1 Mev may be readily stopped by moderating them to low energies where they can be absorbed easily. The relaxation length in such cases is about equal to the slowingdown length (square root of the age of the neutrons), which can be made as small as a few centimeters by use of hydrogen atoms. The very energetic neutrons, several Mev and up, are the most difficult to shield against. Table 36 lists illustrative values of the relaxation lengths for these neutrons in various materials. Final absorption of the neutrons is usually accompanied by the emission of y rays. The use of boron results in a comparatively soft y ray of 0.5 Mev. Lithium, however, absorbs neutrons with essentially no production of y rays. Table 9 of Sec. 7-3 • 8ee Ref. 8. chap. 2.
Abt.
WEIGHTS
ATOMIC
9]
presents data on the production of y rays by thermal-neutron capture.
Gammas also
result from inelastic scattering of neutrons. Table 4 of Sec. 7-2 lists the values of the neutron flux, at various neutron that results in a dose rate of 7.5 mrem/hr. Shielding of neutrons and radiation dose are treated in detail in Sec 7-3. Gamma Rays"
8.3
energies,
"
For y rays in the energy range 0.1 to 10 Mev, a flux of about 600 Mev/(cm')(sec) is required to produce a dose rate of 1 mrem/hr. -»
~600 Mev/(cm»)(sec)
for photons in the energy range 0.1 to 10 1 mrem/hr diminishes for softer photons. The reason for this is the high (cm,)(sec). which causes the y energy to be absorbed in
1
mrem/hr
(33)
The energy flux that results in At 0.01 Mev, the flux is 3.5 Mev/ photoelectric cross section for soft ys, short distances. For the same reason, however, the soft 7s can be shielded out very easily. Table 36 lists illustrative values of relaxation lengths in various materials for y rays coming out of a reactor. Detailed information concerning -y-ray shielding is presented in Sec. 7-3.
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Table
36.
Mev.
Illustrative Values of Relaxation Lengths in Various Materials for Fast Neutrons and for Gamma Rays*
Density,
Material
Relaxation length, cm
g/om*
Fast neutrons
1.0 1.62 1.85 2.3 2 3 2. 7 3. 5 4. 3
Beryllium oxide
Gamma rays
~I0 ~ 9
~ 9 ~ 9 11 ~10
8.0 6
7.8
~ 6
11.3
9
~
J
30 19 18 14 15 13 10 8
3.7 2.5
* S. Gladstone, *' Principles of Nuclear Reactor Engineering, " Table 10.3, p. 609. D. Van Nostrand Company. Inc., Princeton, N.J., 1955. t Portland concrete is a mixture of Portland cement, gravel, and sand. t Barytes concrete is a mixture of Portland cement and BaSO< aggregate. 4 Brookhaven concrete is a mixture of Portland cement and iron aggregate.
ATOMIC WEIGHTS'
9
The atomic of the atomic
0"
"
mass or weight scale is a scale of the masses of neutral atoms in terms The amu is defined such that the mass of the mass unit, the amu.
atom is exactly 16 amu. The conversion factors between the amu and the gram and between the amu and its energy equivalent (through E = mc1) are 1 g =
N
1
N
amu
- 6.025
X 10"
amu = 931 Mev
- Avogadro's
number
(34) (35) (36)
Reference 37 gives a list of the atomic masses of the nuclides. is defined as
The packing fraction
/
/-^
(37)
2-36
NUCLEAR DATA
where M is the atom mass in amu and A is the mass number. per particle BE /A can be obtained from through the relation
/
[Sec.
2
The binding energy
(38)
where Z is the atomic number. The binding energy of an additional neutron, when added to the incident kinetic energy, gives the energy of excitation of the compound nucleus formed by neutron capture.
REFERENCES 1. 2. 3.
4. 5. 6.
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7. 8. 9. 10. 11.
U.S. Atomic Energy Commission: "Reactor Handbook," vol. 1, chap. 2, AECD-3645, McGraw-Hill Book Company, Inc., New York, 1955. Gamble, R.: Ph.D. Thesis, University of Texas, June, 1955. Charpie, R. A., J. Horowitz, D. J. Hughes, and D. J. Littler (eds.): "Physics and Mathematics," chap. 7, Progress in Nuclear Energy, ser. 1, vol. 1, McGraw-Hill Book Company, Inc., New York, 1956. Lundby, A., and N. Holt: Nucleonics, 12 (1): 24 (January, 1954). Way, K., and E. P. Wigner: Phys. Rev., 73: 1318 (1948). Rockwell, III, Theodore (ed.): "Reactor Shielding Design Manual," chap. 3, U.S. Atomic Energy Commission, TID-7004, March, 1956. Moteff, J.: Nucleonics, 13 (5): 28 (May, 1955). Clark, F. H.: Report NDA-27-39, Dec. 30, 1954. Whitehouse, E. J.: Progr. Nuclear Phys., 2: 120 (1952). Steinberg, E. P., and L. E. Glendenin: Proc. Intern. Conf. 7: 3 (1956). Robb, W. L., J. B. Sampson, J. R. Stehn, and J. K. Davidson: Nucleonics, 13 (12): 31
(1955). Studier, 13. Hughes,
M. H, and J. R Huizenga: Phys. Rev., 96: 546 (1954). D. J., and J. A. Harvey: "Neutron Cross Sections," BNL-325. 14. Koch, \V.: Phys. Rev., 77: 329 (1950). 15. von Dardel, G. F., and N. G. S. Sjdstrand: Phys. Rev., 96: 1245 (1954). 16. Scott, F. R., D. B. Tomson, and W. Wright: Phys. Rev., 96 : 583 (1954). R., G. S. Mani, P. K. Ivengar, and B. V. Joshi: Proc. Intern. Conf. 5: 17. Ramanna, 24, Trombay, India (1956). 18. Geraseva, L. A., A. V. Kamayev, A. K. Krasin, and I. G. Morosov: Proc. Intern. Conf. 5: 13, Trombay, India (1956). 19. Antonov, A. V., A. I. Isakoff, I. D. Murin, B. A. Neupocoyev, I. M. Frank, F. L. Shapiro, and I. V. Shtranich, Proc. Intern. Conf. 5: 3 (1956). 20. Melaika, E. A., M. J. Parker, J. A. Petruska, and R. H. Tomlinson: Can. J. Chem., 12.
33: 830 (1955).
21. 22. 23.
Hurwitr, Jr., H.: Proc. Intern. Conf. 4: 328 (1956). Deutsch, R. W.: Nucleonics, 14 (9): 89 (1956). Hughes, D. J.: "Pile Neutron Research," chap. 3, Addison- Wesley Publishing Com
pany, Reading, Mass., 1953. 24. Coveyou, R. R., R. R. Bate, and R. K. Osborne: /. Nuclear Energy, 2: 153 (1956). 25. Cohen, E. R.: Proc. Intern. Conf. 5: 405 (1956). 26. Dresner, L.: Nuclear Sci. Eng., 1: 68 (1956). 27. Walt, M., and H. H. Barschall: Phys. Rev., 93: 1062 (1954). 28. Peterson, R. E., and G. A. Newby: Nuclear Sci. Eng., 1: 112 (1956). 29. Pasechnik, M. V.: Proc. Intern. Conf. 2: 3 (1956). 30. Bethe, H. A., J. R. Beyster, and R. E. Carter: LA-1429, December, 1955. 31. Katz, L, and A. S. Penfold: Revs. Mod. Phys., 24: 1 (1952). 32. Aroux, W. A., B. G. Hoffman, and F. C. Williams: AECU-663. 33. Segre, E, and C. Wiegand: Phys. Rev., 70: 808 (1946). 34. Coryell, C. D., and N. Sugarman: "Radiochemical Studies: The Fission Products,"
Book Company, Inc., 1951. " Principles of Nuclear Reactor Engineering," chap. 10, D. Van Nostrand Company, Inc., Princeton, N.J., 1955. 36. Mittelman, P. S., and R. A. Liedtke: Nucleonics, 13 (5): 50 (1955). McGraw-Hill
35. Glasstone,
37. Physica,
S.:
21 : 367-424
(1955).
SECTION
3
MATHEMATICS BY
ALSTON
S.
HOUSEHOLDER, Ph.D.,
Head of Mathematics
National Laboratory. WARD CONRAD SANGREN,
Panel, Oak Ridge
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A.B., M.A., Ph.D., Chief of Computing, General Atomic, General Dynamics Corporation; formerly Chief of Computing and Mathematics, Curtiss- Wright Research; Assistant Chief of Mathematics Panel, Oak Ridge National Laboratory.
CONTENTS ALGEBRA AND GEOMETRY
3-1
BY
ALSTON
S.
HOUSEHOLDER
Algebra of Scalars, Vectors, and Matrices Trigonometry and Complex Numbers . . . Loci: Curves and Surfaces Algebraic Equations Probability and Statistics References and Notes
1 The 2 3 4 5
3-2
BY
PAOE
3 Series and Expansions of Functions 4 Differential Equations 5 Other Topics
Bibliography
3-2 3-15
3-3
3-24
3-35 3-55 3-62
3-05 3-106 3-125 3-140
OF HIGH-SPEED MACHINERY
BY WARD CONRAD SANGREN AND ALSTON
8.
HOUSEHOLDER
1 Digital Computing Machinery 2 Analogue Computing Machinery
ANALYSIS
Bibliography
WARD CONRAD SANGREN
1 Differential and Integral Calculus 2 Function Theory
PRINCIPLES COMPUTING
PAOK
3-64 3-75
3-1
3-142
3-146 3-148
3-1
ALGEBRA AND GEOMETRY BY Alston
S. Householder
Generally speaking, algebra and geometry are distinguished from analysis in that Nevertheless most practical methods for they do not involve the notion of limit. solving equations do involve limiting processes, even though the definition of the solution does not. Hence some familiarity with limits will be presupposed in certain portions of the present section. 1
THE ALGEBRA
OF SCALARS, VECTORS,
AND MATRICES
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This article will begin with the basic concepts and operations of algebra and of analytic geometry. 1.1
Sum, Products, and Powers
The real numbers include the integers (the null element 0; the positive integers 1, 2, — 2, — 3, . . .); the rationals, which ; and the negative integers —1, include the integers as well as any number expressible as a fraction whose numerator 3, 4,
...
and denominator are both integers; and the irrationals, such as r, y/2, which are not so expressible. 1.11 The basic arithmetic operations are the two summative operations of addition and subtraction and the two multiplicative operations of multiplication and division. These operations can be further classified as direct (addition and multiplication) and Any two real numbers can be combined by any indirect (subtraction and division). of the four basic operations, and the result is again a real number with one exception: Division by zero is not allowed. The indirect operations are related to the direct operations as follows: The differ ence a — 6 is defined to be that number x which satisfies the equation 0 = 6+1; the quotient a/6 is defined to be that number y which satisfies a = by. Since Qy = 0 whatever y may be, it follows that when 6=0 and a = 0, then y could be anything, and when 6=0 and a^O, there is no y that could satisfy the equation a = by. Signs of aggregation are parentheses ( ), brackets [ ], braces j }, and, less com monly, the vinculum or horizontal bar. They have the force of punctuation marks and signify that the enclosed operations are to be performed before any further combination is effected. Thus 6/(2 + 1) = 6/3 = 2, the division being withheld until the addition set off by the parentheses has been performed. Where signs of aggregation do not intervene, the following conventions are always understood to hold: 1. Multiplicative operations are performed before summative operations. 2. Multiplicative operations are to be performed in the order in which they occur. 3. Summative operations are to be performed in the order in which they occur. Thus, 6/2 + 1=3 + 1=4; 1+6/2 = 1+3=4; 6/2-3=3-3=9, but 6/(2 • 3) = 6/6 = 1; 6/2/3 = 3/3 = 1. The commutative laws and the distributive law are satisfied by all real numbers as follows: Commutative law: a + 6 = 6 + o. 06 = 6a. Distributive law: 0(6 + c) = 06 + ac.
3-2
3-3
ALGEBRA AND GEOMETRY
Sec. 3-1]
A variant of the distributive law
is
(6
c)/a
±
- b/a
c/a
±
and this constitutes the rule for summing fractions with a common denominator. Other rules for combining fractions are as follows: a
c
b'
d
a/b eld a
c
b+d
"
ac bd ad
"
be
ad + be
=
bd
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and the cancellation law is ac
a
bc~
b
A ratio is a quotient; a proportion is a statement that expresses the equality of two Thus the ratio of a to 6 is commonly written o:6 and is simply the quotient ratios. The colon is therefore a particular sign of division. Four numbers a, b, c, and d a/b. This is sometimes written are said to be in proportion if a:b — c:d, or a/b = c/d. a:b: :c:d, the double colon being thus a form of the equality sign. A number c is said to be the third proportional to a and b in case a/b = b/c, and then b is said to be the mean proportion between a and e. If a/b = c/d, then it is also true that b/a -- d/c
(o ± b)/b = (c ±
a/c
d)/d
- -
= b/d
(a +
ad «= be
6)/(o
6)
(C
More generally, if a\/bi = Oj/ftj = 03/63 =
then
(moi + n,as +
n»a3
■■
+
provided only that the numbers ni,
• • • —
-)/(n,bi + nj&j +
7i2, n3,
ni&i + nibt +
. .
n>b3
. are such
+
• • •
+ rf)/(c
- d)
f
+•••)■"'
n3&3
that
^0
When two or more quantities are to be added, each is called a term; when they The product of n equal factors is called each is called a factor.
are to be multiplied, a power:
a ■a ■ ■ ■ • — a"
the number a is called the 6ose and n the exponent of the power. bined according to the following rules: an • am = an+m a»b»
aH/am ™ an~n = \/am~n = (ab)n a"/6" = (a/b)"
Powers are com
(a*)m — anm
When n = m, the second of the above relations is to be regarded as providing a m, the definition: a" = 1 except when a = 0, and 0° is meaningless. When n second relation also defines the use to be made of negative exponents: a~~» = 1/a". The operation inverse to that of taking a power is that of extracting a root. Thus if xn = a
then x
=
\/ a
Note that by definition, provided it is further true that a and x are of like sign. when n is even and a negative, no such (real) x exists (see the discussion of complex
3-4
MATHEMATICS
[Sec. 3
Also When such an x does exist, it is called the nth root of a. numbers in Art. 2.1). When n is even and o > 0, there is always an o is the base or radicand, n the index. x > 0 satisfying the relation x" = o, and in that case it is also true that (— x)" = a. Although —x is also an nth root of a, nevertheless the radical designates x and never —as.
The following relations govern the use of radicals: m f~ V"/ V a \/a \/b
= =
nt
nm /~
V«*
V»
n/my—
=
yfa/y/b
\/ab
. = am/"
Va =
\V a/b
These and similar relations are readily established by using fractional exponents; for
V
tya = [(a)1/m]1/n = a"*""' = "\Va. In the second relation above, the example, fraction n/m is not to be used as index of a radical unless n/m is in fact an integer. However, the form am,n is always permissible, and the equation is to be taken as It can be verified that all defining the expression when the exponent is fractional. previous laws of exponents are valid even with fractional exponents. A natural extension permits the use of even irrational exponents. As special cases of the above laws of radicals, the relations
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y/aPb = a
y/ a/b"
y/b
=
yfa/b
give examples of possible "simplification" of radicals. When attention is fixed upon the relation between the power and the exponent, the There are two frequently used base being fixed, the exponent is called a logarithm. systems of logarithms, the natural, or Napierian, with base e = 2.718 . . . , and The natural logarithms are useful in analysis the common, or Briggsian, with base 10. and will be discussed there and in Art. 2. The common logarithms are useful in The following identities hold for any (fixed) base: computation. log (NM) = log N + log log log (N/M) = log N = m log N log Nm
-
log
For
common logarithms
it
ty N
is true
= (log
M M
N)/m
in particular that
log (n
X
10m)
= m
+ log n
is not affected by the location of the decimal point in the number, and this accounts for the utility of 10 as a base. Let N = n • 10™, where m is an integer, positive or negative, and 1 < n < 10. Then, since log 1 = 0 and log 10 = 1, it follows that 0 < log n < 1. Hence log N is the sum of an integer m, called the characteristic of the logarithm, and a pure decimal log n, called the mantissa of the logarithm. The mantissa is always nonnegative, and its value is independent of the location of the decimal point in N . The characteristic may be positive, negative, or zero, and its value is determined solely by the location of the decimal point in N. Note that
This implies that the decimal part of the (common) logarithm
log AT-«
-
-(m
+
1)
+
(1
- log n)
Hence, unless log n = 0, then 1 — log n is the mantissa of log N~l and — (m + 1) is its characteristic. 1.12 Bases of Enumeration. The statements just made rest upon the fact that moving the decimal point corresponds to multiplying or dividing by a power of 10, and this, in turn, is due to the use of the decimal base in our common system of enumeration. That is to say, any number is represented in the form • • ■
where
each
+ dt
■10s
+ di
■10
+
do
+ d_i
d is one of the 10 integers 0,
1,
• 10"1 2,
+
. . . , 9.
10"' +
■ ■■
Any number whatever
3-5
ALGEBRA AND GEOMETRY
Sec. 3-1]
(instead of 10) could be used as base, and in recent years the base 2 (or sometimes 23 or 24) is used for many automatic computers, for scalars, and in other special situ ations. In the binary system a number is represented in the form • ■•
+
a2
• 2»
+
an
■2
+
a„
-f
• 2"1
• • •
+
where each a is either 0 or 1. It is sometimes desirable to convert from decimal to some other specified representation or back again. If the numbers are integers, let the two representations be JV = d0 + di ■10 + dt ■10l + • • • = 6o + b,/3 + 62/3s +
- I:
where 0 represents the other base and each ft
• • •
of the values 0,
6 has one
M'
+
1,
Given the decimal representation: Divide N by 0, and the remainder is the quotient by 0, and the remainder is 6i ; continue, obtaining 62, 63, . . . Given the representation in the base 0: Form in sequence &'„_,
b',-i
Then
b'o
D
=
...
,
divide in turn.
b0; ,
b,P + 6,_,
= &'»-t0 + = 6\_20 +
= N in decimal form. numbers are not integers, let the nonintegral parts have the representations
d_,
• 10-»
+ d_,
•
10"' +
• ■•
- 6_i
•
/3"1
+ 6_j
•
+
0"»
• • •
+
Given the decimal representation: Multiply by 0, and the integral part of the product will be 6_i ; multiply the nonintegral part of the product by 0, and the integral . part of this product will be 6-2; Given the representation in the base 0: Form in sequence
...
b'-p+t = 6'-,1+i/0 + 6-M+2 = b'-n+i/p +
6'_M+>
Then D
It
=
is presupposed that the computations themselves are performed decimally. Analogous rules can be formulated when the other base is to be used for computation. 1.13 Polynomial products can be formed by repeated application of the associative law, but the following are of frequent occurrence:
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If the
=
2,
3-6
MATHEMATICS n(n
where
-
• • •
r(r 1)
1)
-r+
(n
3
[Sec. 1)
■ • • •2 • 1
When n is a positive integer, then
the series represents y/2). one way of extracting roots. Another to use logarithms available. Thus from a table of common logarithms one finds log
it
<
1,
y
a
1,
\y\
When n is not a (see also Art. 5), and the polynomial has exactly n + 1 terms. positive integer, there are infinitely many terms defined. If x — 1 and can be shown that the infinite series converges (cf. Art. 3.6 of Sec. 3-2) and provides = n = method of computing the quantity represented on the left (thus for x =
=
is
table
a
if 2
is
This
is
— J>£,
0.30103.
.
Un,
If
r
is
a
if
is
■ ■
a + ar + ar* + ■
+ ar»_1 =
is
geometric progression
o(l
= n[a
+
- r")/(l -
(n
is
- l)d]
- l)d/2]
r)
+
(n
[a
+
and the sum of n terms of
2d) + ■ ■ ■ +
a
+
+
(a
a
d)
If
is
if
d
+
is d is
+ (a
is
each of which, after the first, obtainable from the preceding by fixed rule. arithmetic; where fixed, the progression Un = Un-i u„ =■Un-\r where fixed, the progression geometric; Un = vn~l where the vs form an arithmetic pro harmonic. gression, then the progression (of the us) ui = a, the sum of n terms of an arithmetic progression
sequence
is
+
■
+
A +
+
is
of
is a a
is
a
a
is
series
is
a succession of numbers Ui formed according to some rule, and a formed by summing these numbers. Simple formulas for sum (as in the arithmetic and geometric progressions) are available in only few special cases. If the nth term u„ polynomial in n with constant coefficients, then the sum of the first n terms also The method undeter polynomial of degree one greater. mined coefficients can be used to obtain the sum. This best illustrated by an • • cubic in n. example. Let Un be quadratic in n. Then «„ = ui ut u„ Hence let Bn + Cn1 + Dn> s„ = Un = a + bn + cn1
A
SD = 2a + 36
27
D
= 3a
+
66
+
+
+
-f
AC 9C
+
A+B+C+D=a+b+c
+ 2B A + SB
A
=
0
A
3,
2,
1,
0,
c
C,
For deter where a, and D are to be determined. and are known and A, B, mining these four coefficients one can assign to n any four convenient values (including one obtains even 0). On taking n = b,
5c
+
14e
see Art. 4. The method of undetermined coefficients can be applied in other situations but only when the form of the result is known or can be conjectured.
For methods of solving such equations
1.2
The Algebra of Vectors
is
This may be applied in situations where spatial orientation and localization become significant. vector exemplified by a directed line from one point (its origin) to A
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a
. .
Ml, Vt, U
is
A
is
Then log \/2 half this, or 0.15052. Hence one has only to return to the table to find what number has 0.15052 as its logarithm. For still other methods see Art. 4. 1.14 of Progressions, Sequences, and Series. succession progression numbers
ALGEBRA AND GEOMETRY
Sec. 3-1]
point (its terminus). If a is the vector with origin 0 and terminus P (Fig. 1), vector with origin P and terminus 0 is — a. If b is the vector with origin P and terminus Q, then a + b is the vector with origin 0 and terminus Q. If P, Q, and R are in a straight line, and if the segment PR «= aPQ, then the vector with origin P and terminus R is orb. If the line ST is parallel to the line PQ and the segments are equal, ST = PQ, then the vector with origin S and terminus T exemplifies (or is) the same vector b. A vector may therefore be thought of as freely movable from place to place but fixed in length and direction. (In more rigorous phraseology the vector b is the class of all segments parallel and equal to the segment PQ and similarly another
then the
oriented.) Examples of vectors are finite motions, velocities, accelerations, and forces. On the other hand masses, temperatures, and energies are nonvectorial, or scalar, quanti ties. When vectors are being discussed, it will be convenient to represent them by
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Fia. boldface,
1.
letters and to represent scalars by lower-case Greek
lower-case Roman
letters.
The null vector 0 satisfies with any vector a the identities
0a=0
a + 0 = a Hereafter the null vector will be indicated holds
for addition and for multiplication a
Subtraction
+ b
= b + a
is defined as follows:
There are two distributive <*(a
laws:
as a simple zero. by scalars:
a + (b
+ b) = aa + ab
The
commutative
lav)
a& = aa
- a)
= b
(a + 0)a = aa +
/3a
If
two vectors are parallel, one can be expressed as a scalar multiple of the other are said to be linearly dependent. In general, vectors a and b are linearly dependent in case scalars a and f) exist, not both being zero, such that aa + /3b = 0. If this equation is satisfied only by a = f? = 0, then a and b are linearly independent. It should be observed that if one vector, say b, is null, the two vectors are necessarily linearly dependent whatever a might be, since one has only to take a = 0 and /3 arbitrary but ^ 0. Let ei and e* be any two linearly independent vectors, and let x be any vector in the plane of these vectors. Let these be drawn from a common origin O, and let and they
terminate at Bi, Et, and X, respectively (Fig. 2). From X draw PX parallel 0Et and intersecting OEi (extended if necessary) at P. Then 0 is the origin
them to sad
P
scalar
the terminus of a scalar multiple of et; P is the origin and multiple of es. Let these be { iBj and £2e2. Then
X
the terminus of a
x = £tei + hei Thus x is resolved into components along ei and es, or it is expressed as a linear combi nation of ei and ei. Its components are i-iei and f2e2; the scalars £i and {2 are its
3-8
MATHEMATICS
[Sec. 3
in the vectorial coordinate system (d, e2). Any other point 0' could have This would have led to different instead of 0 as the common origin. points E'i, E't, X', and P' but to the same scalars fi, {j. When a vectorial coordinate system such as (ei, e») is associated with a particular Associated point 0 as origin, the system forms a ■point-coordinate system (0; ei, ej). The with each vector x drawn from 0 as origin is a particular point X, its terminus. coordinates fi, £2 of x in the vectorial coordinate system (ei, es) are said to be the coordinates of the point X in the point-coordinate system (0; d, e»). Any vector not in (or parallel to) the same plane with ei and ei is not expressible If e> is such a vector, then ti, et, and es are as a linear combination of Ci and e2. linearly independent. Any vector in the same 3-space is expressible as a linear Hence they form a vectorial coordinate system combination of these three vectors. for the 3-space, and, when associated with any point 0 as origin, the point and the vectors form a point-coordinate system for the 3-space. In general, n vectors ai, as, . . . , a. are linearly dependent if there are n scalars ai, at, . . . , a„, not all zero, such that coordinates been used
"
2a, Ei
aiai +
ai&2
• • •
+
+
or„a„
= 0
If
the equations can be satisfied only by taking ai = orj = • • • = a„ = 0, then the vectors are linearly independent. A space of vectors is of dimensionality n in case there is a set of n linearly independent vectors, whereas any n + 1 vectors are linearly dependent. In an n-dimensional space let ei, e2, . . . , e„ be linearly independent. Then if x is any vector, x, t\, e«, . . . , e„ are linearly dependent and, in fact, one can Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
express x = 2fce;
Thus
one may speak of the vectorial coordinate system (ej). When these vectors are associated with an origin O, the vectors and the point form a point-coordinate system (0; e<) as in the cases of two and three dimensions. If the vector x is called a geometric vector, the set of its coordinates ({i, fa £„) in any coordinate system may be called an arithmetic vector, and each coordinate & is an element of the arithmetic vector. For purposes of notation it is convenient to distinguish the column vector, where the d are written in a column, from the row When the column vector is intended, we vector, where they are written along a line. shall enclose the elements between braces { fi, . . . , £„ J for convenience of printing. The column vector will be designated x; the row vector will be called the transpose of the column vector and designated xT. Either arithmetic vector x or xT represents the geometric vector x in the given coordinate system (e,), but a change in coordinate system will in general change the representation (see Art. 1.3). If y = 27j,ei is any geometric vector, represented in the coordinate system e< by the
arithmetic vector y
«■
jm,
. . ,
.
x is represented
t/»J, then the sum
+ y
= 2(fc
+ m)ti
by the arithmetic vector X
the product
+
V
=
[fl
+
11,
. . . , fn
+
IJ»)
ay = 2(ai),)ei vector ay = (cnti,
by the arithmetic . . . , avn). null vector, and the null arithmetic vector is (0, . 1.3
Transformations
In particular, if a . .
= 0, ay is the
,0).
and the Algebra of Matrices
In the point-coordinate system (O; e;), let the point 0' correspond to the vector d If X corresponds to x in the same system and to x' in the system (O'; e,), (Fig. 3). then x = d + x'. In terms of arithmetic vectors and coordinates, x = d + x'
& = «(
+
£'<
3-9
ALGEBRA AND GEOMETRY
Sec. 3-1]
These equations relate the coordinates of a given point before and after a translation of axes (changed origin but fixed vectorial system). To be compared with the coordinate change caused by changing the coordinate system is the coordinate change brought about by
moving the point but keeping the coordinate system If the point X undergoes a translation, rep fixed. resented by the geometric vector d, to the position X', then x' = d + x, so that x'
= d
+x
«'(
= *<
+ ii
Here it is understood that the coordinate system remains fixed as (0; e<). Let e'i, . . . , e'» be any n linearly independent vectors in the same n-dimensional space. Then any 0' Fio. 3. Translation of axes. vector x = 2{ie< is also expressible in the form z = 2£',-e'i. But any e',- is expressible as a linear combination of the e,, and likewise any e< is expressible as a linear combination of the t'j. Hence for some ttj and «'/», e', = Xtete't,
2,e',t,i
e< =
(1)
Hence
SiXten'tii'i
h
= 2,«'*,«'y
t'i
follows that
=
From these relations arise the rules of matrix algebra. written in a square array as follows:
/til
• •
«12
(2)
Z<«i(2)
Let the numbers
t,-,- be
«ln\
is
is
is
a
the first subscript being constant along Then the row, the second along a column. the product of the array, regarded as a matrix E, by the column arithmetic vector x column arithmetic vector x' according to Eqs. (2). then If E' the matrix of the the product of E' by z' Hence x.
E'x'
x =
x' = Ex
(4)
multiplication rules
e
e' = eE'
,
.
,
e'
Let e stand for the arr,ay (ei, . . . e„) and for the array (e'i, . . e'„). That is, these are row vectors whose elements are geometric vectors. Then, by the same e'E
=
(5)
matrix can be thought of as made up of column vectors or of row vectors. To multiply matrices one multiplies the first matrix by each column of the second or else each row of the first matrix by the second matrix. Thus the matrix whose . columns are . =
-
(/.,/.
(E/„ Eft,
is
U)
.
.
,
EF
then
.
F
:
.
if
F
A
Efm)
Matrices
need not be equal.
- (A B) +C = (AB)C - aC + PC +
+ (B + C) A(BC) + 0)C (a
-
+ + A
B
A
B
= + + AC A{B + O = AB aB aC a(B C) But note that in general AB and BA
A
it
are added by adding corresponding elements, as with the addition of vectors. scalar multiplies matrix when multiplies every element. The following commutative, associative, and distributive laws are satisfied: a
A
+
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It
x = Zie,£, = ZiZ,e' = Eye',*', =
3-10
MATHEMATICS
Since
e'E
e =
it follows that the
=
=
(eE')E
effect of the product matrix
Hence
E'E
the identity matrix, and
E'
[Sec. 3
e(E'E)
E'E
upon e is to leave it unchanged.
/
=
is said to be the reciprocal or inverse of
E'
- E' - E~l
E:
Both designations F' and E~' are in use, and both will be used here, according to convenience. It is also true that
E
EE' =7
- E"
The effect of changing the vectorial coordinate system is simply expressible now in terms of matrices and arithmetic vectors: Let
eV
x = ex =
be a geometric vector represented by the arithmetic vector x in coordinate system (e)
and x' in coordinate system (e').
Let
e =
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relate the two systems.
e'E
e' = eE>
Then the representations are related by x' = Ex
- E'x'
x
This gives the result of changing the vectorial coordinate system. Suppose, on the other hand, that the coordinate system remains fixed but every point in space is dis placed in some fashion. The result is a point transformation, and it is linear provided there exists a set of vectors (f) such that any vector x = ex is transformed into x* = fx. That is to say, the arithmetic vector x that represents x in the system (e) represents x* in the system (f). In particular e< is transformed into fi for each * «. 1, 2, Let f = eF . Then x* = ix = eFx = ex*
-
....
Hence x* is represented in the system (e) by the vector x* = Fx
Now let the of (e).
same transformation
Then x — e'x' x* = eFx =
be referred to the coordinate system (e') instead
x'
Ex
—
e'EFX
=
e'EFE'x'
= e'x'*
Hence the arithmetic vectors x' and x'* that represent x and its transform x* in the system e' are related by
x'*
=
EFE'x'
The matrices F and EFE' are said to be similar. To return to the system (e), if F is any matrix, then F defines a linear vector trans formation if the vector x* = eFx = ex* is made to correspond to any vector x = ex. Thus, with respect to a given coordinate system, every linear vector transformation is specified by a matrix and every matrix defines a linear transformation. It was not required that the system f = eF of vectors into which the coordinate vectors transform should be itself a coordinate system, i.e., that the vectors fi be linearly independent. If the vectors f< are linearly independent, then the vectors e< can be expressed as linear combinations of the U, then the matrix F' exists, and e
- fF'
3-11
ALGEBRA AND GEOMETRY
Sec. 3-1]
In that event any vector x* is the transform of one and only one vector z, where, in In this event the matrix F and the fact, if x* = ex*, then x = ex with x = F'x*. transformation are said to be nonsingular or of rank n. If the vectors U are linearly dependent, then there exists an arithmetic vector x ^ 0 such that fx = 0. Since f = eF, eFx = 0. But the vectors ei are linearly inde pendent, whence Fx = 0. In this event the columns of F are said to be linearly dependent, F is said to be singular, and its rank less than n. If Among the vectors f< there is a maximal set of linearly independent vectors. there are r vectors in this set, then every vector in the set (f ) is expressible as a linear combination of these r vectors and every column of the matrix F is expressible as a linear combination of the same r columns of F. The set (f) and the matrix F are both The transformation transforms every vector x in the space into said to be of rank r. a vector x* which lies in the r-dimensional subspace of linear combinations of these r independent vectors of the set (f). Multivectors
1.4
and Determinants
1.41 Bivectors and Trivectors. If the vectors a and b are drawn from the same origin, they can be regarded as forming two sides of a parallelogram or bivector, which will be designated [a,b]. Interchanging the order of the vectors will be taken to reverse the sign of t ~y\ T — C°» b J A the bivector, just as interchanging origin and termi1 nus of a vector reverses its sign. This accounts for x~& \ the first of the following relations: V° \
y'
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The second of these is easily verified. The third provides a rule of composition con sistent with that for vectors. From these relations one proves readily that [a,a] = 0 [a,b] = [a + Xb, b]
where
X
a =
aiei +
a2e2
[a, b
+
Xa]
Moreover, if
is an arbitrary scalar (see Fig. 4).
then
-
= eo b = 0iei + /32ej = eft = [a,b] |o6|[ei,e2]
where I I
°" at
01 I
Pi
|
_
a
a
_
a* I
I W1 1 Pi
Pa I
is called the determinant of the arithmetic vectors o and 6. If the vectors a, b, and c are drawn from the same origin, they can be regarded as forming three edges of a parallelepiped or trivector, which will be designated [a,b,c]. Interchanging any pair of the vectors will be taken to reverse the sign of the trivector. This and the other two relations given below form a natural generalization of the case for bivectors: [a,b,c] [Xa,b,cj [a, b, ci + cs]
[a,a,c] = [a,b,a] = [a,b,b] 0 Xb, b, c] = [a + Xc, b, c] = [a, b a = aiei + cuaes + asej = ea b = 0iei + foej + 0»e3 = eb c = 7iei + 7ie2 + yie» = ec [a,b,c] = |a6c|[ei,ej,e,]
+
Xc, c] =
(9) (10) (11)
3-12
MATHEMATICS
where \abc\
at
=
=
ft
at
ft ft
«i
at
5.
ft
7i
71
en
71
yt yt
ft °l ft
—
«3
ft
yt
7s
ft
71
71
ft
71
P»
73
<*i
at
7J
71
„
or?
7.
ft
[Sec.
-ft
ft ft +
71
ai
ft
3
71 71
oct
ft
The two-by-two determinants are called minors. In general, when any row and any column of a determinant are deleted, the resulting determinant is a minor of the The first line of this continued equation defines the value of the determi original. nant by giving an expansion. Note that by virtue of Eq. (9) other expansions are possible, for example, |aic| =
—
|6oc|
OTl
= —
_P
ai as
I
VI ai
yi
as
71
'
+L
«, at
a ft
- , 73 !
or,
a ft «i
71 71 I
In the complete expansion
more easily illustrated in particular than stated in general.
each term contains exactly one element from each column and exactly one from each row. For a fourth-order determinant one can write |aocd|
aiAi ftBi
=
a,A, + ftB, +
where the quantities Ai, Bit Ci,
ft ft ft At
Z>
71
*2
73
4s
74
*4
Bi
=
-
at at at
*2
71
7i
St
74
6t
*4
atBt
ftB,
a%B% -|- atJBt = «,£>2 = 7iC2
0 0
aiA,
+
a\B\
+ (3tA, + (3,At + t3,A, = 0 + +
/Mi
Likewise
respectively, the cofaclors of ai, ft, yi, Si, and
it follows that
-f-
= 0,
+«ii>i
71
+
|66crf|
71C1
71
=
74
Since
+ ajAt + ajAj + a>At + PtBt + |3jJ5i + ftB<
= =
Properties (9) to (11) for multivectors apply directly to determinants. third-order determinant, one has \a,b,e\
"
-\b,a,c\
=
•
ple, for
For exam
a
• ■
1.43 Products of Determinants of the Same Order. In general, let the n vectors t\i, a2, . . . a„ in n-space be expressed in terms of the vectors e< by the relations ,
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The next line in the above equation asserts that the transposed determinant has the same value and permits still other expansions. According to Eq. (9), an interchange of columns in a determinant leads to a reversal of sign. If one first transposes, then interchanges columns, then transposes again, the result is an interchange of rows in the Hence an interchange of a pair of rows leads to a reversal of sign. original. 1.42 Multivectors. One can readily carry on to four-vectors, five-vectors, . . . , and for each case write down the basic relations (9), (10), and (11) and obtain the determinant. The rules for manipulating and expanding determinants are much
algebra and geometry
Sec. 3-1]
3-13
or, in matrix form,
•
Then the multivectors
are related by [»i
the determinant
where
•
eA
a =
= [ei,e,, . . . ,e„]|A|
a»]
\A\ = |oi,Oj,
fA'
a =
A'
. . . ,a„] =
[a,,a,, [e,,e,,
. . . ,On\
fE
e =
Let so that Then
-
. . . ,e„]
-
[f,,f,, [f , ,f,,
EA .
,U]A'\
. .
. . . ,f„]
E\
By comparing these identities one finds
|A'| = \EA\ = \E\
■
\A\
-
-
|/|
1
E
1
|/|
Thus the determinant of the product of two matrices is the product of their determi nants. In particular, since = = A~l, therefore when |A~»A| =
is,
Hence
=
|A-'|-|A|
|A|-< is
a
it
the determinant of the inverse of matrix (when the reciprocal of exists) determinant of the matrix. 1.14 Linear Dependence and the Solution of Equations. Let the m vectors = eai = . . . m) be such that the multivector
that
—
[y
. .
.
[y,a,,
•
• •
+
am£m
{2a2 — .
■
• — £».a,»,ai,
,a„]
= ii[ai,a2,
,a„] = {,[a,,a2
a„]
and likewise
a„l = {ata^aj,
[ai,y
Suppose
Then
. . . ,am].
- [fiai.a,,
Thus
+
•
[y,alp . . . ,a„] =
= a!?,
.
[y,as,
be linearly dependent.
.
and form the multivector
y
vectors a; and y
+
1
and let the m
^
am]
0
,
1,
(»
li
[ai,a,
. . .
... . .
.
,a«,]
,aj
,a„]
if
.
if
. .
is
y
is
is
Each of the multivectors on the left a scalar multiple of that on the right, and to evaluate this scalar multiple one can take any minor on the left and the corresponding minor on the right. This Cramer's rule for solving linear systems. The arbitrary vector resolved along the vectors ai am, and these must therefore be linearly independent. In fact, any m vectors ai, . ,an are linearly dependent and only the multivector [ai.aj, . . ,am] vanishes. 1.5
Metrics is a
is
B
A
If
and perpendiculars are drawn from points to given line, intersecting this A' and B', respectively, then the segment A'B' the orthogonal projection of AB on the given line. The orthogonal projection of a broken line made up of seg ments AB, BC KL simply A'U, the same as the projection of the straightline at
line segment AL. = ex and Let the
Therefore
y
= ey be two vectors. The scalar product of these vectors xy product of the length of either vector into the projection of the other upon it.
x
is
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the
xy = xZew = J(ie,)i?i = ZSf,e,e,)j,-
3-14 Let
MATHEMATICS
[SEC. 3
7,7 = e.ej, and let G = (7,,) be the matrix of the 7,7.
Then
xy = xTGy = yTGx
(12)
Each element 7,, of G is the scalar product of two of the coordinate vectors e* and e,, and in particular, for i = j, yu is the square of the length of e,-. The matrix G is said to represent the metric of the space. If each e; is of unit length and orthogonal to all other e,-, the vectors e,- are said to form an orthonormal basis. In this event G = /, xy = xTy = yTx. In general the matrix G can be written
G Let
= eTe
(13)
IE
e =
(14)
Then
represent a coordinate change.
ETHE
G = ETiTtE =
H
where
Ff
=
(15) (16)
represents the metric corresponding to the base f. If f and e are both orthonormal, then O =
H
=
I
1 =
ETE
=
EET
-
matrix.
orthogonal
\E\ = ±1
1
|/|
\E\* =
if
0,
G is
1.
A
x it is
G is is
0,
G is
-
e*
is
to say,
if
is
/
e*V
That
the ith vector of the system («'), then
(e) and (e') are said to be reciprocal. = ey = e'y', follows that
Let
e' = efi'.
Then
it
y
x
The coordinate systems = ex = e'x',
y'
y
is
x
is
If
is
E
G
is
0
if
if
G
if
a
is
G,
is
and the determinant of an orthogonal matrix either +1 or — xx = xTGx Since, for any metric squared length, essentially positive and, = 0. the e,- are linearly independent, can vanish only when matrix sym metric GT = G; a symmetric matrix for any x, xTGx > positive semidefinite Any matrix expressible and xTGx = then only when x = -positive definite. = ETE in the form positive semidefinite, and conversely, any positive semidefinite matrix can be so expressed. If nonsingular, then posi (and hence G) tive definite. 1.61 Covariant and Contravariant Representations. x = ex, the arithmetic vector x sometimes said to be the contravariant representation of in the system (e) =■Gy, said to be the covariant representation. If = ey, and the vector x' = Gx then xy = x'Ty = xTy' = y'Tx = yTx'. Let the system (e') satisfy
if
xy
—
xree'y'
—
xTIy'
= xTy' x
is
-
j
[a,b][x,y]
ax
bj
ay
^
.....
I
is
x
y'
and y. Hence x' and are the covariant representations of and for any vectors contra Hence covariant with respect to a system (e) representation that y. variant with respect to the reciprocal system (e'). The product of two bivectors [a,b] and [x,y] will be defined as the determinant a
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Then the matrix E, whose transpose is its own reciprocal, is called an Since \ET\ = \E\, it follows that
In general, the product of two multivectors of order m will be the determinant order m whose elements are the scalar products of the vectors taken in pairs.
of
3-15
ALGEBRA AND GEOMETRY
Sec. 3-1]
The magnitude of a vector a is its length and is designated and Hall* = aa.
Clearly
||a||.
||a||
> 0,
The magnitude of
l![a,b]|[.
Clearly
a bivector [ab] is the area of the parallelogram and is designated ||[a,b]|| > 0, and one can show that ||[a,b]||'
= [a,b][a,b]
In like manner the product of a multivector by itself is the square of its own magnitude. = 1, and let 8 represent the angle from a to b. Choose an orthoLet |[a|| = [|b||
normal system (e) in the plane of a and b. l|e,|| = ||e,|| Let a =- eo, b = e6.
Then
-
Then by definition sin 8 = \ab\
sin
= 1
||[e„e,]|[ 8
and cos
8 are
"
cos 8 = aTb
the quantities (see Art. 2)
ab
More generally, if
- IWI
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\xy\
• llyll
sin
xTv = IMI
*•
• IIj/II cos *>
The bivector [x,y] may be regarded as a kind of product of the vectors x and y. This is called the outer product, and the scalar product xy is sometimes called the inner product of x and y. Neither the outer product nor the inner product is a vector. Ip 3-space, but only in 3-space, one can define the cross (or vector) product
z=xXy as
follows:
If
=
It follows that if w =
-y
X
x
the system (e) is orthonormal, then
fi
and
=
£»
H
£•
v>
/. {'
_
£s
11
£1
vt
j.
s'
{1
iji
£.
t»
xz = yz *» 0
etc is any vector in the same 3-space,
then
zw = \xyw\ 2
TRIGONOMETRY AND COMPLEX NUMBERS 2.1
The equation x* +
=0
1
Complex Numbers and Vectors cannot be satisfied by any real number, but if one defines t =
will be satisfied by either i or by — i. Numbers of the form x + iy, where x and y are both real, are called complex num bers. If one requires such numbers to satisfy all the ordinary rules of algebra, it can be shown that every algebraic equation of degree n has exactly n roots of this form. If x = 0, a number is a pure imaginary. From the definition it follows that the equation
J*" =
1
=
J
j«»+S =
_1
j4*+3
=
_j
(17)
where n is any integer, positive or negative. This suggests a geometric interpretation of complex numbers as follows: With any origin O, a horizontal (real) axis and a vertical (imaginary) axis represent x + iy by the terminus of the vector (x,y) or by the vector itself. Then the sum of x + iy and u + iv is represented by the vector sum of the vectors that represent these numbers. The product i(x + iy) is obtained by rotating the vector x + iy counterclockwise through 90°. The vectors u(x + iy)
3-16
MATHEMATICS
[Sec. 3
sine
v'eose, AW-e) ;
.
»in(-e)l
i
o
Fio.
u
A
geometric plex numbers. 5.
interpretation of com-
Fio.
6.
and vi(x + iy) will be obtained by stretching the initial and rotated vectors by factors u and v, respectively, and the final product
-
-f
vy)
i(vx + uy)
is the sum of the stretched vectors. Geometrically (Fig. 5) the construction is as follows: Let U, P, and Q be the points corresponding to 1 + 0 • i, x + iy, and w + iv, and let W correspond to the product. Then the triangle OQW is similar to the triangle OUP [cf. Eq. (21)].
Let
r = Vac' +
V1
> 0
represent the length of the vector x + iy, and let 0 represent the angle measured in a counterclockwise direction from the real axis to the vector. Then one defines the quantities cos 0 and sin 0 by sin
y/r
0 =
cos 0 =
x/r
These definitions are equivalent to those given in Art. 1.5. These are functions of the angle 0 alone, their values being fixed by 0 and independent of r. Clearly sin 0° = 0 cos 0° = 1
sin 180° =0 cos 180° =
sin 90°
and, in general, for any
0
-1
By taking r
= 1 and applying
< sin
0 < 1,
1 < cos 0
<
(18)
1
the Pythagorean theorem one has
sin' for any
1 sin 270° cos 270° = 0
-1
cos 90°
0
+
cos* 9 = 1
(19)
0.
Any complex number can
be written in either of the equivalent
- r(cos
x + iy
0
+
i
sin
forms (20)
0)
called, respectively, the rectangular and the polar forms. One calls r the radius vector 0 the amplitude or argument, x the real part, and iy the imaginary part of the number. From geometry it is clear that in multiplying two complex numbers the modulus of the product is the product of the moduli and the amplitude of the product is the sum of the amplitudes of the separate factors (cf. Fig. 5): sin if + t'(sin
the final form being given by direct multiplication.
sin
(0
rs[cos
sin
i
—
—
cos if
+ ?)] + cos
0
cos
+
i sin
0
= rs[cos
+
sin 0)8(cos
*>)
i
(9
+
0
0
if
r(cos
or modulus,
0
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(u + iv)(x + iy) = (ux
sin
*>)]
(21)
ALGEBRA AND GEOMETRY
Sec. 3-1]
3-17
of results follow from this identity. Let r = s = 1, and take succes The results can be summarized in the following equal to 90, 180, 270, 360°.
A number sively table:
sin cos
90° + 9
180° + a
270° + e
360° + 9
cos 9 — sin 9
— sin 9 — cos 9
— cos 9 sin 9
sin 9 oos 9
(cos 9 + i sin 9) (cos 9 — i sin 9) = 1 (cos 9 + i sin 9)[cos ( — 9) + » sin ( — 9)] = 1
Since and
that
it follows
cos ( — 9) = cos 9
sin
(-9)
= — sin 9
(22)
This is illustrated by Fig. 6. Hence the above table can be supplemented:
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90°
s =
1
9
180°
cos 9 sin 9
sin cos
Still with r =
-
-
9
270°
-
9
360°
— cos 9 — sin 9
sin 9 — cos 9
-
9
— sin 9 cos 9
in Eq. (21), on comparing the second and final forms one has sin (if + 9) = sin + 9) = cos
(23)
On referring to Eq. (22) one has also
H
9 =
sin (y> — 9) = sin ^ cos 9 — cos cos 9 + sin
n
sin 29 = 2 sin 9 cos 9 cos 29 = cos' 9 — sin1 9 = 2 cos'
If
9 in
(24)
then
9—1 =1—2
sin* i
(25)
Eq. (25) is replaced by 9/2, one obtains sin (9/2)
=
±
- cos
V(l
9)/2
cos (9/2) = ±
+
cos 9)/2
(26)
Given any complex number z —
x + ty
™
r(cos
9
+ i sin
9)
i sin
9)
the conjugate complex number is
I
= x —
iy
= r(eos 9 —
Note that the product of a number by its conjugate is the square of its modulus, sum of a number and its conjugate is twice the real part, z + z = 2x. The sum, difference, product, or quotient of two conjugates is the conjugate of the sum, difference, product, or quotient of the numbers themselves. zz = r»; the
MATHEMATICS
3-18
The Trigonometric
2.2
Along with the functions sin
9
and cos 6 =
tan cot
Functions; 9
Basic Identities
already defined, one can form four others:
y/x
9 /cos 8 =
sin
9/sin 8 = x/y = 1/cos 9 = r/x = 1/csc 8 = r/y
9 — cos
sec 9 esc 8
where, as usual,
[Sec. 3
* + iy
(27)
= r(cos 8 -f- t sin 9)
These satisfy the following identities: + tans + cot*
1 1
8 = sec5
8
0
9
- csc«
(28)
The first is obtained from the complex number 1
+
8 = sec 9(cos
tan
*
8
+
i
sin
9)
the second from the complex number
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cot
8
+
i
= esc 9(cos 8
+
i
sin
9)
Complete reduction formulas for all the functions can be obtained by applying those The following table summarizes: derived for sin 9 and cos 9 and the above definitions.
-8 sin COB tan
cot sec CSC
The quadrant of an angle
- sin 6 cos B — tan 8 — cot 8 sec 8 — esc 8
9 is
90° ± 8
180° ± 8
cos 8 +■sin 9 T cot 8 ¥ tan 0 T esc 9 sec 0
+ sin 9 — COB 0 ± tan 8 ± cot 0 — sec 8 + esc 8
9'
— cos ± sin + cot + tan ± esc — sec
8 0 8 8 8 0
defined by first expressing it in the form 8 = 8'
where 0 < of 9 is
270° ± (9
+n-
360°
< 360° and n is any integer, positive or negative.
I II III IV
if if if
0 < 9' 90° < 9' 180° < 9' 270° < 9'
if
Then the quadrant
< 90° < 180° < 270° < 360°
The algebraic sign of each function is constant throughout any quadrant according to the following table:
sin cos
tan oot sec 080
I
II
+ + + + + +
+
— — — —
+
III
IV
—
+ — —
_ + +
— —
+
Sec. 3-1]
ALGEBRA AND GEOMETRY
3-19
Since adding or subtracting integral multiples of 360° has no effect upon the value of any of the trigonometric functions, these functions are said to be periodic with period Actually the tangent and cotangent have periods 180°. 360°. Exact values of the functions of certain particular angles can be obtained by elemen tary methods (in an isosceles right triangle each acute angle is 45°; in an equilateral triangle any altitude forms congruent right triangles) :
sin
0
cos
1
tan cot
so
0
30°
45°
60°
H
\,Vl
Vi/2
■
120°
1
V3/2
«
Vi/2
I/V2
VI
1
Vi
00
1
1/V3
0
2
00
2/Vj"
1
V2
1
sec
90°
Vi
2
-Vi
\/V2
H
-1
-1
-1/V5
-2 2/Vi
V2
00
the reduction
(29) (30) (31)
9)
(1
9)
-
+ + +
[(8
-1
2
(32)
-
9
9)
(33)
9
(9
2
cos
)/2] —2 sin [(9 + *>)/2] sin [(9 »>)/2] sec sec v tan
cot ± ±
9
tan cot
9
+
cos
9
9
9
2
9
2
+
2
-
0 30
-21 VI
III and IV by applying
tan (6 ±
= *>)/2] — sin
-VI
1
0
is
a
is
unit circle intercepted The radian measure of an angle the length of the arc of by the angle when the center coincides with the vertex. Since the complete circum 2r, the radian and degree measures are related by ference radians = 180° of length
s,
is
if
the intercepted arc
(34)
the radian measure
9
is
For a circle of any radius of the angle
r,
t
=
s/r
(35)
e
...
(ri)
exp
9
9
sin
= cos sin = [exp (t'9) + exp (-»9)]/2 = — i[exp (t'9) — exp (-i'9)l/2 9
t
9
exp (i9) cos
1
=
follows that +
it
ewi
from which
= —
i
is
a
is
is
a pure number. Hereafter, unless otherwise specified, angles in the formulae and this will be understood as given in radian measure. the sum of the The rule that the amplitude of product of two complex numbers the same as the rule for combining logarithms amplitudes of the factors [Eq. (21)] = 2.718 to Hence one can define the real number (Art. 1.1).
(36)
is a
e
convenient logarithmic base, and logarithms For theoretical purposes are known as natural logarithms and abbreviated In.
to the base
exp
+ i9) = exp
[p
iy
sin
(p
+
can be written 1
= r(cos
*
x +
9
complex number x
iy
Any
+
e
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180°
-VI
- \/Vi
The table can be extended through the quadrants formulas. Other common multiple angle formulas are
150°
-I/V2 -Vi/2
-H
0
135°
9
0°
+ i(9 + 2«r)]
(37)
3-20
MATHEMATICS
[SEC.
where p =• In r is the real natural logarithm of the positive real number r. also say that In (x + iy) = p + i(0 + 2nr)
3
One may (38)
where n is any integer, positive or negative. The natural logarithm is defined, there fore, only up to integral multiples of 2xt. Inverse trigonometric functions are also multiple-valued. By definition if fen represents any of the six trigonometric functions, then 9 =
Thus arcsin
}£
if
arcfen u
u = fen 8
may have any of the values
r/6 5t/6
± ±
2m 2nr
i.e., 30° ± n • 360° i.e., 150° ± n • 360°
and arccos }£ may have any of the values ±
\o
± 2nx
one defines the principal value of an inverse function, A common con designated by a capital letter, to be just one of the possible values. vention is as follows: — jt/2 < arcsin u < ir/2 0 < arccos u < -r — t/2 < arctan u < t/2 ,„Q. (M> < arccot u < r/2 0 < arcsec u < x
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To remove this ambiguity
-t/2 —t/2
< arccsc
u <
r/2
the symbols sin-1 u, cos"1 u, . . . are some In place of arcsin u, arccos u times used. The hyperbolic functions are defined by applying real exponents to the exponential:
,.-.
x — exp (— x)j/2 x + exp (— x)]/2 sinh x/cosh x cosh x/sinh x 1/cosh x = 1/sinh x
sinh x — [exp cosh x =■ [exp tanh x = coth x = sech x =csch
They
are
related by identities
i
analogous
identities:
/..■>
to those satisfied by the trigonometric
-
cosh1 x — sinh* x = tanh* x = 1 coth* x — 1 = sinh (2x) = 2 sinh x
1
sech' x csch* x cosh x cosh (2x) = 2 cosh* x — 1 = 2 sinh* x + 1 — cosh* x + sinh* x sinh (x/2)
= -y/(rosh x
cosh (x/2)
=
The circular (or simple trigonometric)
follows:
sin 0 = — i sinh (i6) cos 9 = cosh (i$) tan 9 = — i tanh (id) cot 9 = i coth (ifl)
V(cosh
-
x +
(42)
,,„.
(
l)/2 l)/2
(44>
and the hyperbolic sinh x =
—
i
i}
sin
functions are related as (t'x)
cosh x = cos (jj) tanh x = — i tan (uc) coth x = i cot (ix)
,,-..
algebra and geometry
Sec. 3-1]
3-21
The Solution of Triangles
2.3
Of the six elements in any triangle (three sides and three angles), given any three of which at least one is a side, the other three can be computed by means of tables of trigonometric functions. In case the triangle is a right triangle, let the two legs be x and y, the hypotenuse r. Then the acute angle adjacent to the side x is 8, where
+ iy
x
The other angle is the complement of sin
8
-
8)
Of the four formulas
8.
y/r - x/r
cos 8
+ i sin
= r(cos 8
x1
tan 8 = y/x + y1 = r'
any given pair of the elements x, y, r, and 8 will be found in exactly two, and each of these can be used to give one of the others. If and y are given, the Pythagorean theorem may be incon venient to use for finding r. An alternative is first to find 8 and then use one of the two formulas
i
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r = y/sin
8 =
x/cos
8
An isosceles triangle can be divided into two congruent For an arbitrary scalene triangle, let the right triangles. angles a, 0, and y be, respectively, opposite the sides a, b, and c Let R be the radius of the circumscribed circle (Fig. 7). Then the law of sines is The law of
The
cosines is
2R = a/sin a = 6/sin 0 = c/sin y
-
a* = 6' + c* — 26c cos a 6" c« + a* 2ca cos 0 c* =» a* + 6* — 2ab cos y
be the radius of the inscribed circle, and let s = (a
be half the perimeter of the triangle.
+
6
+ c)/2
(49)
Then
- o)(s - 6)(s - c)/*]M r = - 6)(g - c)/(&c)]V* sin («/2) = cos (a/2) = [s(s - a)/(6c)]tt [(«
and
(48)
(50)
[(«
tan (a/2) = r/(s
with
— a)
(51)
corresponding formulas for the functions of 0/2 and y/2.
While space does not permit giving the derivation of all these formulas, it may noted that some are direct interpretations of vector formulas. Thus let c = a — b cc = aa — 2ab + bb
Then which has the interpretation ||C||«
where y
be
=
||*||«
-
is the angle between a and b.
2||a||
•
||b|| cos
This is
y +
|tb||s
one of the forms of the law of cosines.
3-22
MATHEMATICS
[SEC. 3 Then
= ab sin
-
c]
—
c, b
[a
=
y
b, a
sin a = ca sin
[c
6c
which proves that
—
b)
—
(3
=
—
a]
— a,
c
[b
.
||c
Again let a, b, and c be vectors to the vertices A, B, and C of the triangle. — b||, . . . One verifies that a =
= 180°
y
+
0
a + a, then find
2R
=
0
b
= 2R sin
o/sin a c
and thence
= 2R sin
y
the given side
is
If
a
1.
is
This equivalent to the usual statement of the law of sines. For solving a triangle the following cases are to be distinguished: The third angle can be found from side. Given two angles and
2. Given two sides and the included angle. Method a. Use the appropriate form of the law of cosines to find the c,
7)/2]
y)l2 one
can find
Let
(a/2)
Thence use the law of sines
and y.
these be a,
and a.
From the law
= (6/a) sin a
and thence by another application of the law of If There are possible complications, however. sin a > a no solution.
If
b
sin a < a <
is
impossible and there 6
the triangle
is
b
sines.
c)] cot.
c
and a, one finds
y
0
Knowing both
- c)/(b
nonincluded angle. sin
(a/2)
+
7)/2] = [(6
0
-
0
a
(0
— Knowing >)/2 and to find a. 3. Given two sides and of sines
(0
tan \(H
+
Hence the law of tangents yields
- a/2
= 90° = cot
third side,
Then
6,
+ y)/2
+
tan [(0
cos a = (6s
+ cl
(3'
6. a
0,
8
is a
possible There two solutions are possible (Fig. 8). = 180° — (3, and possible obtuse angle acute angle either of which may be the angle opposite side One may find a from the law of cosines: 4. Given three sides.
j,
- al)/(2bc)
Correspond
is
0
or one may use the formula for sin (a/2), for cos (a/2), or for tan (a/2). or 7. ing formulas can be used for The area of triangle a
Area = (,H)bc sin a = rs = [*(» 2.4
- a)(s
—
b)(s
—
c)]>4
De Moivre's Theorem and Other Identities
i
sin $)n = cos (n0)
+
i
(cos
+
Repeated application of Eq. (21) gives 6
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(0
b
b.
then the law of sines to obtain another angle. and the angle a. Suppose the sides are Method
sin (n0)
(52)
algebra and geometry
Sec. 3-1]
If
9
3-23
is replaced by 9/n and the nth root extracted on both sides, it follows that (cos 9 +
i
i
sin 9),A* = cos (9/n) +
sin (6/n)
However, if p is any integer, cos 8 ** cos (9 + 2pr)
Hence
i
(cos 9 +
9 =
sin
sin 9)"» = cos (9/n + 2px/n)
sin
i
+
(9
+ 2px)
sin (9/n + 2pir/n)
(53)
where p is an arbitrary integer. This is a special case of Dc Moivre's theorem. Exactly n distinct values are obtainable on the right by taking p = 0, 1, 2, . . . ,
*
— 1.
When 9=0, Eq. (53) defines the n roots of unity. These roots include 1 in all cases, — 1 when n is even, but no others are real. The root w denned by taking p = 1 In fact, if u = ui and is a primitive root, all roots being powers of this one. up = cos (2xp/n)
then clearly
and since
ap —
«i»
X' -
&> ^ 1,
— 1
=
it must
(x
Any
»' sin
= exp (2pxt°/n)
(2xp/n)
(54)
up satisfies
- l)(l"-'
+
I""'
• • •
+
+
X
+ I)
=-
0
be true that
w.-i + „»-* + «„_i + w„_j +
or Generated for wjivans (University of Florida) on 2015-09-23 02:46 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
v*.
+
. . . • • ■
Expansion of the left member of Eq. in terms of sin 9 and cos 9:
1 = 0
+ u + + m +
1
-0
(55)
(52) permits the expression of sin (n9) and
cos (n8)
sin (nd) = n sin cos (n9)
It
- cos"
9 cos"-1
9 —
sin'
9 —
sm* 9 cos"
J
9
cos""*
9
+
• • •
(56)
+
9
• - •
is possible also to express sin (n9) /sin 9 and cos (n9), as polynomials in cos a recursion. Note, first, that
9 alone
For this we deduce
cos 9 = cos 8 2 cos2
Now by Eq.
(32) we have
cos (29)
-
9-1
cos (n9 + 9) + cos (n9 — 9) = 2 cos 9 cos (n9)
Hence when cos (n9) and cos [(n cos [(n + 1)9]. With n — 3, 4,
—
...
1)9] have been so expressed, we obtain sequentially
one
can obtain
cos (39) = 4 cos' 9 — 3 cos 9 cos (49) = 8 cos4 cos»
9-8
9-1
Next, and by Eq. Hence
sin 9 — Bin 9 sin (29) = 2 sin (32) Bin (n9 + 8)
+ sin
(n9
—
9)
8 cos 9
= 2 sin (n9) cos 9
9-1)
Bin (39) = sin 9 (4 cos1 sin (49) = sin 9 (8 cos" 9
-
4 cos 9)
When expressions involving trigonometric functions arc integrated analytically The formulas 1.2), it is desirable, when possible, to replace products by sums.
(Art.
3-24
cos
—
(0
4- cos
+ sin
— —
)
+
+ +
[SEC. 3 (9 (9
— cos (0
+
*>)
sin
= sin cos cos
(9 (0
cos
0 0
sin sin
9
2 2
2
MATHEMATICS #>)
(57)
+
-
40)
0
n even
40)
20) +
-
■■•
cos (n0
-
n odd
40)
+
(58)
• ■
•
-
sin (n0
Parametric and Nonparametric Representation system (0; e),
the coordinates
of the vector x = ex
£<
x
are unrestricted, then the vector can represent any point in the space. are required to satisfy some equation
,«.) =
the
(59)
0
• • ■
¥>(fc,fc,
But
if
Given a point-coordinate
is is
is
,f.V({i
■■
•
£0
{,*
=
-
- ««,
(|i
-
follows that the curve I,1
=
?2'
+
£«)
0
Thus, in the plane, since
0
this event the surface consists, in fact, of two surfaces
In
,£.) =
0
possible.
is
it
3,
|,-
is
A
*>(«■,{., - - -
it
2,
if
x
only those vectors which terminate on some hypersurface will be allowed and Eq. In fact, all coordinates but are (59) will be the equation of this hypersurface. must be such that Eq. (59) satisfied. When n = the "hyper specified, then surface" an ordinary curve; when n = an ordinary surface. Certain simple geometric properties of the surface can sometimes be deduced directly from Eq. (59). one for which the factorization degenerate surface
+
2{a
=
= 0.
£i
0
£2
+
0 is
£i
£i«
=
3
£i
—
=
with respect to the hyperplane present in case Thus the curve without affecting the equation.
Symmetry
by
£,
=
0
-
£j
£1
consists actually of two straight lines, can be replaced
-
0
£2J =
1
is
£<-£/-•■• +
symmetric with respect to the origin
£1
£i* +
=
£2
Thus the curve
=
0.
...
{i
is
When the simultaneous replacement of symmetric with respect to the line by — £,, respectively, leaves the equation unaltered, the sur £/, face symmetric with respect to the linear space defined by £i,
is
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• ■•
LOCI: CURVES AND SURFACES
if
3.1
0
p
-
-
cos (n0
- 20)
(n0
= cos (ra0) + n cos (n0
3
0
2"-1 cos"
20)
(")
- n sin
= sin (n0)
-
(n0
(^)
sin»
- n cos
+
_(l)(»-i)/«2»-i
= cos (n0)
0
sin"
0
_(l)«/i2»-i
a
9
0
9.
can be applied repetitively to break up products of sines and cosines. They also and cos permit decomposing powers of sin This can be done recursively [i.e., < n, one can form cos as sum of terms in cos (p9), having expressed cos" cos" and apply Eq. (57)]. Otherwise, one can apply the following formulas:
algebra and geometry
Sec. 3-1]
3-25
Asymptotic cylinders may reveal themselves when one solves Eq. (59) for some Suppose the solution has the form coordinate £, as a function of the others. =
«i/ft £,•
ii
that they
is
and are such where wi and ft arc independent of the particular variable constant, the equation Unless ft do not vanish simultaneously. 0
ft
=
a
-1=0
iiit
£2:
1/f.
VV
+4
=
4
h
=
±
2{i
-
{,«
=
a straight line
"cylindrical
in the solution for some as a assign values of these variables
0
it
fi
-
4{,» can be solved:
an asymptote; the second that
is
0
is
is
0
£i
£»
The first solution shows that the straight line = an asymptote (in the plane the straight line surface"). shown to be limited when, The extent of a surface possible to function of the other variables, one finds Thus the equation complex. that would render
fc
=
a
=
is
l/{.
±2
V*i*
-
1
=
«s
Zi
and for
&
is
is
£i
can be solved for
x
=
h
£i 1,
h
A
1,
1 £i
£i
1
1
fi
a
&
will yield real value of &; on the other hand, unless fj* > Any real value of < — > then would be complex. Hence no value of or else i.e., either will be found on the curve. on the range — < < It sometimes happens that symmetries, asymptotes, etc., are not apparent in the equation as given initially but that they can be revealed by suitable transformations This requires the selection of a vector of coordinates. and matrix such that on setting £i
+ Ax'
=
0
=
^
p
|;
{,-
will exhibit the features of interest. For surfaces the equation in the new variables of the second degree the theory of these transformations will be developed below (Art. 3.3). are required to satisfy two equations simultaneously, say If the coordinates
is
a
a
In the plane two the points, in general, lie on a surface of lower dimensionality. equations generally define a finite set of points; in 3-space they define a curve. In finite set of points; in 4-space they define curve. 3-space three equations define the common In n-apace, n — equations define a curve in general. This curve intersection of the n — hypersurfaces (in 3-space the intersection of two ordinary surfaces). Consider in 3-space the curve of intersection of the surfaces 1
1
=
ftto
Ei
=
ft(r)
=
Mr)
and
£»
£3,
(60)
and solve for
£i
In general one can select arbitrarily a &, say £j. The equations are then in the form
=
0
= *>«(«i,f.,{»)
£,
Vi(ti,M>)
£,
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,
,
is
a
If
.
(n
— a surface in the l)-dimensional space of d, . . e,-_i, ej+i, . . . e». drawn in the direction e, through every point of this surface, one has line cylindrical surface in the original n-space, and this also has the equation ft = 0. This to say that as asymptotic to the surface of Eq. (59), which cylindrical surface becomes infinite through either positive values or negative values or both, the surface of Eq. (59) approaches the cylindrical surface. Thus the equation
defines
as functions of
(61)
3-26
MATHEMATICS
[SEC. 3
where, in this case, ^-s(t) = t. In general, when each fc is defined as a function of an independent variable r, one says the equations of the curve are in parametric form. Given equations in the form of Eq. (61), one could solve, say, for t as a function of Is and substitute into the other two equations, obtaining ft =
or, what comes to the same, £i
-
it
&>l({3)
= £»
o>,(£,)
-
= U>l(h)
*>,({,)
-
0
special case of Eq. (GO). Analogous steps are possible in n-space. Analogously a surface in a space of three or more dimensions can be represented by two parameters: ii = Mr,*) (62) ft
A curve, in a space of however many dimensions, is a one-dimensional manifold; s Either an r-dimensional manifold in an surface is a two-dimensional manifold. n-dimensional space, n > r, can be represented in parametric form: «.
n,
. . where, in particular, sented by requiring that n
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*>,(«
Let
-
(63)
■»)
any r of the coordinates, or it can be repre be satisfied simultaneously:
. , rr may be — r equations {»)
3.2
= *<(n
-
• • •
¥>»--•(£,,
. . . ,{,,)
= 0
(64)
Lines, Planes, and Hyperplanes
The equation
a be any fixed vector and a a constant.
-a
ax
= 0
(65)
is satisfied by any vector z whose projection upon a is fixed and equal to a/||a|| (see Hence when z and a are drawn from a fixed origin O, x must terminate on Art. 1.5). Hence Eq. (65) is the a hyperplane orthogonal to a and at a distance a/||a|| from O. vectorial equation of this hyperplane. Given the point-coordinate system (0;e), let
Then if a — ea, x = ex, it follows that ax = aTGx. represent the metric. = a' Oa is the oo variant representation of a, Eq. (05) takes the form
-a
a'Tx
Hence
= 0
if
(66)
Conversely, given an equation in the form of Eq. (66) and a particular pointcoordinate system (0;e), let a be the geometric vector whose covariant representation is a': a = eG 'a', and let x = ex. Then Eq. (66) is equivalent to Eq. (65) and is Thus when Eq. (59) is linear as therefore the equation of the hyperplane as described. It should be observed in Eq. (66), the hypersurfacc is a hyperplane, and conversely. that Eq. (05) is independent of any coordinate system but Eq. (66) is not. In case the system (0;e) is orthonormal, a' = a and G = /. In this event
The vector
n = a/||a|| is a
unit vector in the direction
-
equation nTx where n = en, is equivalent tion of the hyperplane.
If
to Eq. (66).
—
If
v =
a/||a||, then
v = 0
This
nTy = 0
the (67)
is called the normal form of the
y = ey represents any point
nTx
a.
Y
equa
in the space, the equation
3-27
ALGEBRA AND GEOMETRY
Sec. 3-1]
the hyperplane through Y parallel to the original hyperplane, and the between the two planes is nTy — v. This is also the perpendicular distance from the hyperplane of Hence, the distance S from a Eq. (67) to the point Y. hyperplane to a point Y is given by represents
distance
S =
nTy
-
v
(68)
positive direction is that of the normal n. given an orthonormal system, any unit vector n has coordinates (cos u, sin a) for some angle pIa g Hence m, this being the angle from d to n (Fig. 9). the normal form of the equation of a straight line in the plane can be written where the
In
the plane,
u +
£i cos The general
|j
sin a
(69)
equation (66) of the straight line can be written
-o
«i£i + ath
= 0
(70)
involving three parameters, an, at, and a; but in fact only two are significant, since one can multiply through the equation by any constant. Hence two geometric con ditions suffice to determine the line. Such a pair of conditions might be the unit normal n (determined by the angle u) and the normal distance v from the origin. They might be the intercepts ptei and p2ei where the line crosses the coordinate axes. H Pipi 0, then the equation is £i/pi + {j/pj = 1 This is known as the intercept form of the equation. The inclination of a line is the angle it makes with the axis of the
line is the tangent of this angle.
the slope is <• =
system is orthonormal. equation of the line is
(fi
the
and
(0; e,), and the slope and x" represent two points on the line,
If x'
- r»)/(t"i -
When the slope
when the
ii
—
when the slope n and any point
and the intercept
p2e2 are
known,
pi = 0
—
a are
p.
1'.)
known, the equation is
- at) - »(£i - ax)
({i
= 0
These are called the slope-intercept and the point-slope forms, respectively. Returning to a space of arbitrary dimensionality, let ai and a} represent any two points. If z represents a point on the line joining them, then x — ai and x — as are linearly dependent.
Hence there exist scalars at and as, not both zero, such that
ai(x
X =
or
- a,) + at(x -
a2)
= 0
(oia, + a2a5)/(ai + at)
(71)
x represents the centroid of the points a, and a2 weighted by ax and at (either or both "weights" may be negative); x represents the That the point which divides the line segment from a, to ai in the ratio at/ax. points are Ax, At, and X, then
if
is,
This has several interpretations:
equivalent to
Again,
or to
= ax/ (ax
at)
- r*, + - r)a, r(ai (1
Eq. (71)
x x
t then
at/ax
+
significant).
=
if
direction
= a2
+
'the
is
A\X /X Aj
is
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— v = 0
aa)
(72) (73)
3-28
MATHEMATICS
[SEC. 3
either of which is a parametric form of the equation of the straight line through A i and Ai. Likewise x = a + tu (74)
A in the direction u. Given any coordinate system (0;e), not necessarily orthonormal, these equations That Eq. (71) becomes can be written directly in terms of the arithmetic vectors. is,
is a parametric form of the equation of the line through
+ atai) /(«i
at)
+
X = (ai
(75)
X
if
0
+
if
if
•
•
+
•
+ a,)
(76)
,
,
is
1
3.3
■■•
+ ar)
(77)
plane, since of the parameters on, possible, for example, to hold any one r
1)
—
it (r
the parametric, equation of the — are essential and
a„ only
a&r)/(ax + is
■■■
+
Conies, Quadrics, and Hyperquadrics
it
r
- 2(a -
p
+ Ut
be
vector
ApVUl
of
(79)
whose directions are given by the columns of
+
r
PUTAUt
P
a point in the plane through Substitution into Eq. (78) gives
-
pTAp
- 2aTp + a
=
0
U
x
quadric (78)
t
=
< n linearly independent columns, and let be any matrix of If represents any point P, then elements. p
r
Let
- 2a.Tx + a
0
xTAx
a
is
If Eq. (59) quadratic in all the variables, represents a hyperquadric in 3-space, conic in 2-space). Such an equation can be written in the form
(a
fixed.
«A)/(ai +
+
plane through Ah . . . Ar, and any point in this plane can A, with In fact, X the centroid of the points Au . . . a,. With any coordinate system (0;e), Eq. (76) equivalent to
r
is ,
.
. .
• • •
+
on
is
U.
(80)
lTAt
—
a' = a
where
Eq.
(80) has the form
a' = — aTp
0
case,
/,
In this
+
can be solved for p.
if U
a
is
a
is
t.
is
Hence the intersection of a linear quadratic in the elements of with hyperquadric again a hyperquadric (for brevity we shall omit the prefix and speak only of quadrics). If nonsingular, the equation Ap = (81)
This equation space
.A
;
t
t
it
is
it
A
is
is
P
is
Hence the point a center of symmetry (since replacing by — does not affect the bisects all chords through and called the center of the quadric equation). then the quadric a central quadric. If may or may not be possible singular, to satisfy Eq. (81). Consider first central quadrics.
It
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—
= (cr,a,
X = (<*,a,
This
=
is
be so represented.
weights
- a,)
represented by a vector
(r
is
a point in the
«r(z
1)
point
x
a
Hence
• • ■
+
- a,)
ai(x
.
.
if
1)
(r
is
,
. .
,
z
x
. ,
r
and elsewhere each geometric vector can be replaced by the arithmetic vector that represents it. Given any distinct points A\, A%, . . A„ represented by a,, a.., . . ar, the — and only in the same plane with these points point X represented by — a, are linearly dependent, hence and only there the vectors x — at, . . . a, not all zero such that exist scalars a\, at, .
Sec. 3-1]
3-29
ALGEBRA AND GEOMETRY
We may suppose the origin to have been moved to the center. the equation has the form xTAx + a = 0
Again the substitution
the columns of
U
(82)
of Eq. (79) gives
tTUTAUt + 2pTAUt + pTAp + a
If
Hence a = 0, and
= 0
(83)
are such that
pTAU
= 0
(84)
then P is the center of the quadric of Eq. (83). When the coordinate system (0;e) is orthonormal, Eq. (84) means that the columns of U are orthogonal to the vector pT A. They will be said to be conjugate to the vector p. There is a hyperplane of vectors orthogonal to a single vector pTA. Hence a matrix U with linearly independent columns and satisfying Eq. (84) could have as many as n — 1 columns. If P is on the quadric, pTAp + a = 0, and if U satisfies Eq. (84), then Eq. (83) becomes simply = 0
tTUTAUt and the hyperplane through Its equation is quadric.
P
whose
directions are given by U is tangent to the
pTA(x
- p)
= 0
or, since p is on the quadric,
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pTAx + a
= 0
When the coordinate system is orthonormal and A =
/, Eq.
(82) takes the form
xTx + a = 0 which states that the squared length of x is — a. Hence for the surface to be real it is necessary that a < 0, in which event this is the equation of a (hyper)sphere (a circle in 2-space) whose center is the origin and squared radius —a. Returning to the more general equation (82), we can rephrase the property of conjugacy as follows: Two vectors u and v are mutually conjugate in case uTAv = vTAu = 0
(85)
If
u and v are conjugate, let the line through the center of the quadric in the direction u intersect the quadric at P. Then v is parallel to the tangent hyperplane at P. The same statement holds when u and v are interchanged. A vector v is not, in general, orthogonal to the vectors to which it is conjugate, but it will be if v and Av are linearly dependent: Av
- Xf
Vectors v exist satisfying Eq. (86) only if the matrix A is such that the determinant of this matrix vanishes: \A
-
—
\I is singular,
X/| = 0
This
(86)
i.e., only if
X
(87)
determinant expands into a polynomial in X of degree n, and hence Eq. (87) has n roots, not necessarily distinct. For each such root X there is a nonnull vector v satisfying Eq. (86). In fact, if X is a root of multiplicity n», then Eq. (86) will be found These can be chosen mutually orthogonal to have m linearly independent solutions. and of unit length. Any root X of Eq. (87) is called a proper value (or latent root or characteristic value or eigenvalue) of A, and a vector v satisfying Eq. (86) is called a proper vector (or latent rector or characteristic vector or eigenvector) belonging to X. It can be shown that In fact, let proper vectors belonging to distinct proper values are orthogonal.
Then But since
= itu X ^ ft Av = Xn vTAu = uTAv = iwTu = \uTv
Au
uTv = vTu, it ^ X; therefore uTv
=
vTu = 0.
3-30
MATHEMATICS
[SEC. 3
Let V represent the matrix of n orthonormal proper vectors:
VTV Thus V is an orthogonal matrix. form .A V one obtains
I
=
=
VVT
In multiplying A by each column of V in turn to
(\iv,,\tv2, . . . ,\,v„) = VA A = diag (Xi X„)
where
is formed of the proper values of A, each with its appropriate multiplicity.
A
or
=
Now let
AV
= VA
VTAV
VAVT
x = Vy
Then Rq. (82) becomes
Hence
= A
(88)
VTx = y
yTVTAVy
or, by virtue of Eq. (88),
+c
(89)
= 0
yTAy + a = 0
The substitution of Eq.
x
eVy eV
=
Z\,V
a =
0
in the especially simple form +
is
(90)
= =
In
of axes.
v
f„
0,
If
0.
A is
is
a
is
is
is
is
A
A
is
t,
if
Xi is > 0
if
±
— a/X, The quadric intersects the (0;f.) axis at the two points which are —a/X, > 0. If this holds for every real and only intersected and every axis the quadric an ellipsoid. There no restriction in supposing a < a < and the matrix then every If the inequality fails for positive definite. some Xi, the quadric hyperboloid (for methods of carrying out the reduction numerically see Art. 4.5). If the matrix singular, Eq. (81) cannot be satisfied in general but the reduction of to the form of Eq. (88) still possible, with one or more null elements in the made in Eq. (78), the result has the diagonal of A. If the substitution of Eq. (89) form 2bTy yTAy a = (91)
3.4
0
parabola; see Art. 3.4).
Loci and Coordinate Systems
the curve containing all points that satisfy a given geometric Thus circle with radius condition. and the locus of all points X(x) at a center ('(c) distance from C. Hence the vector x must satisfy the equation
(0;e),
if
system
x
—
ox
c)
- e)f(x - -
P»
= ec, the equation (x
c
In an orthonormal and
is
(x
c)
- c)(x - -
p'
p
is
p
a
locus in the plane
is
A
+
paraboloid (in the plane
a
a
surface
is
Such
a
-
X
a
1,
<
1,
<
if
a
1,
c
a
«
if
d
Ellipse.
F
10.
is
A
defined as the locus of points conic such that the distance of X from a fixed point fixed line (called the focus) and that from If the the conic in fixed ratio eccentricity). < the are directrix) (called (called = a hyperbola (Fig. 12). parabola (Fig. 11); an ellipse (Fig. 10); > Fio.
is
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— ex
f
where
transformation
fj/
fact,
Equation
(90)
(89) represents an orthogonal
algebra and geometry
Sec. 3-1]
Fia.
11.
3-31
Fig.
Parabola.
12.
Hyperbola.
Let the directrix in normal form (Art. 3.2) be
nz = r and let
f represent the focus.
Then the conic is
- f)(x - f)
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e«(x referred
= (nx
-
to an orthonormal system it is
- f)T(x - f)
For a parabola, < = 1,
„
it
-
= (nTx
(92)
»)*
,)*
(93)
is convenient to take
= {0,1 j
v =
Then Eq. (93) becomes
(I.
£iJ + or
-
-X/2
/=
< 0
JO.X/2}
X/2)8 = (f2 + X/2)* ti* = X£,
(94)
This is the form to which Eq. (90) reduces after a suitable change of origin when X» = 0, and it corresponds to a directrix parallel to the axis (0;ei). When Xi = 0, the directrix is parallel to the axis (0;e3) and the equation can be written
Any parabola can have its equation written in the form of Eq. (94) after a suitable rotation and translation of axes. Conversely any curve whose equation can be put into the form of Eq. (94) is a parabola. The parameter X is the length of the lotus rectum, which is the focal chord parallel to the directrix. It is also twice the distance of the focus from the directrix. The curve is symmetric with respect to the line through the focus perpendicular to the directrix [the axis (O;e0 in Eq. (90)], and this is therefore called the principal axis of the curve. The principal axis intersects the curve at a point midway between the focus and the directrix [the origin in Eq. (94)], and this point is called the vertex. The curve lies entirely in the half plane {a > 0. For the ellipse and hyperbola, if the directrix is taken parallel to either axis (0;ei) Eq. (93) will have a form like Eq. (78) with A already in diagonal form: A « A. Suppose the directrix parallel to the axis (0;ej). Then after a translation to the form of Eq. (82) with a = —1, the equation of an ellipse becomes
or (0;e2),
fiVoi' and that
+
of a hyperbola
faV-i*
= 1
- i«V«»s
«i
>
= 1
ai
> 0
(95)
(96)
3-32
MATHEMATICS
[Sec.
3
Both curves are symmetric with respect to both axes. Hence each has two foci and two directrices. The longest chord in the ellipse is of length 2on, called the major axis; en is the major semiaxis. The shortest central chord (diameter) is of length The points +aie, are the vertices; 2otj, called the minor axis;
£1/01
it/at
±
are asymptotes.
For the ellipse and for the hyperbola, alternative definitions are possible relating to the two foci instead of to a focus and associated directrix. The foci being f and F z and X being any point on the ellipse, the relation
\
F\X holds, and if
X
+
FtX
—
2a i
is any point on the hyperbola,
FiX
- FtX
±2a,
=
Coordinate systems of the form (0;e) hitherto discussed are called rectilinear or If X is any point Other types are possible and sometimes convenient. Cartesian. in the plane, given by x = ex, and if the system (0;e) is orthonormal, let
(97)
Then p and
P! =
p.
||
-
||s
p, =
-
p»,
if
p,||
(98)
0
;
^
+
Since cos cos
8
£1=0
8
a —
p
9
X.
cos #>
8
8
p p
p
p
£j
ii
one has
= sin = a sin ^> = cos = cos = sin
=
sin
(100)
^
0
are the spherical coordinates of
£ 3
p, ^,
{2 £j
Then
p«
c* = «i« + £•'
p
0,
p
then pi and pi are called bipolar coordinates of X. and to satisfy Spherical coordinates in 3-space are defined thus: Take a >
8
-
3.6
p«« =
£2»
arctan (£i/pi)
pi'
pt* • •
arctan (£j/p2)
• • •
+ pi*
= £1'
+
p,! = Si*
■
for the roverse transformation. Spherical coordinates in higher dimensions can be defined recursively:
Approximate Representation of Functions
is
;
Many useful functions, such as sin x and log x, are not easy to compute directly some experimental functions are known only to the extent of a limited number of measured values. In either case one often wishes to deduce from a set of tabulated values at least an approximation to some value not included in the table. This can be done in various ways when the function sufficiently smooth, and one of the is
by polynomial interpolation. commonest and generally most convenient ways One supposes that a polynomial can be found which agrees with the function at a sufficient number of known points, should be in fairly close agreement elsewhere, at least within the interval between the extreme points. it
if
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P» = £i» + £»' — p cos if £i
algebra and geometry
Sec. 3-1]
3-33
Let fix) be the function to be represented (a scalar function of the scalar variable Let P(x) x), and suppose that the values f(xi) are given at each of a set of points Xj. of lowest possible degree such that be the polynomial
P(Xi) =/(*,)
(101)
Taking Fix) as an approximation to fix) is interpolation for each x,-. between the least and greatest of the x>, extrapolation otherwise.
when x lies
The case is simplest when the x, are equally spaced : Xi = xo + ih
The
where ft is some constant.
displacement
(102)
E
operator
is defined by
ft)
Efix) = f(x + « fix + E[Ef(x)] = Efix =
fix
2ft)
£>/(i)
=
fix +
uft)
-
fix
In
particular
ft)
=
by
8
can be defined symbolically
- - E-> 1
V
=
E -
1
A
The difference operators A, V, and
_ £-»
= EM
(105)
is
to be emphasized that these have no meaning except when applied to The last of these definitions, for example, has the interpretation that =
*/(*)
fix +
function.
- fix - ft/2)
ft/2)
p
is
These operators are called, respectively, the forward-, backward-, and central-difference defined by The central mean operator operators. = (#H
x =
This
(106)
A Aa
+
PM
A»
• • -
+
(107)
u =
wft
A'/(x„) +
—
• •
■
uAfixo)
Q
applied to /(x0), one has
fix,) + Xo
+
u&
+
=
fix)
+
(x
equation
+
1
=
(")
A)» =
1
+
is
thus operational
-
+
E>
(1
whence
+ £-H)/2
follows that
E
it
From the first of Eqs. (105)
If
Xo)/A
if
+ uA/(x0) +
+
A"/(x,
(109)
)
- fix,)
(")
Pix)
• • •
is
if
is
However, series terminates only u a nonnegative integer. one truncates the series after n + terms, the result a polynomial in x of degree n: 1
1,
is
. ,
1,
0,
i
= . . n. In particular, for n = one has the satisfying Eq. (101) for linear interpolation polynomial determined by xo and ij. This Newton's forwarduseful for not too large positive u. difference formula, and Since, likewise,
-
(1
E
is
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(104)
any real number, positive, negative, or zero.
£-•/(*)
It
ft)
E*f(x)
6
where u
is
and by extension
(103) 2ft)
a
one can write
+
whence
+
Then
- V)-'
3-34
MATHEMATICS
[Sec. 3
E in powers of V and obtain Newton's backward-difference useful for numerically small negative u: one can expand
P(x)
-/(*,)
+ uV/(x») +
This polynomial
agrees
J
("
with /(x) at
- /(*.)
+
MM*/(X.)
|
M*
+
x0,
+■••+("
x_i,
x_„. Xi, x_i,
. .
with /(x) at
A polynomial which agrees difference formula
P(s)
V»/(x.)
X)
x%,
M*V(X„)
3,
x_s,
+
V"/(x„)
n"" J)
. ,
xo,
— l2) u(lZ* U '
«•/(*.) +
+
...
ul(ui WV
— 1»1 '
01
(110)
is the central-
4,
+,(u»-i»)(u.-2>)^/(x;)
formula
+
»V(X,)
.,,
(111)
When forward differences are to be used, it is convenient to tabulate these according to the following scheme: f(Xo)
Xo
x, Xj
/(*,)
Xi
f(li)
A!/(xo)
A/(Xo)
4f(x,) A/(x,)
/(x5)
AV(xo)
A'/(x.)
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Central differences and means can be tabulated as follows:
X-t
f{x.t)
x_,
/(!_,)
m*/(x-,) a/(x_M)
*'/(x_,)
Xo
/(xo)
/.«/(xo)
*'/(x0)
x.
/(xi)
Xj
/(Xj)
if(*-H)
if(xu)
one forms the divided differences:
- /(x,)]/(x„ - X.)
= [/(Xo) = (/(Xo,X|)
/(x„,x,)
-/(Xi,Xj)]/(Xo
- [/(Xo,X,,X2)
/(Xo,Xi,X2)
/(x0,X,,X2,Xj)
«'/(xo)
«V(x«)
a«/(x,)
/.a/(x.) 8/(xM)
When the x, are not equally spaced,
It
«'/(x-n) /x8'/(xo)
- Xi)
-/(Xi,XS,X3)]/(Xo
- xt)
can be shown that the divided differences are symmetric in their arguments:
- /(X|,Xo) - /(Xo,Xj,Xi) - /(Xi,Xo,X2)
/(x0,Xi) /(Xo,Xi,Xj) Then the polynomial
P(x) =/(x0) +
(X
P(x) that
- Xo)/(Xo,Xi) +
(x
—
agrees with
+
(x
xo)(x
/(x)
- X0)(x —
Xi)
=
• • •
at x(>, x\, . . . , x„ is
■*■ X|)/(lo,Xi,Xi) ■• •
(x
—
+
• • •
x„_i)/(x0,xi,
. . .
,x„)
(112)
Explicit formation of the interpolation polynomial is not necessary and not desirable unless the same polynomial is to be used several or many times. If only one or two interpolations are to be made, Aitken's method is to be recommended. This is a J(xi), recursive procedure, each step being like a linear interpolation. Let P.(x) and let Pit(x) represent the linear interpolation to x based upon x,- and xy. Then
"
Piiix)
= [(x
- *.)P, - - x,)P.]/(x, (x
Now let P,,jt(x) represent the quadratic interpolation and xj. Then it turns out that P
= [(X
- Xi)Pih -
(x
Xi)
to x based upon the points
- Xj)Pit]/(x, - Xi)
x,-,
x,,
ALGEBRA AND GEOMETRY
Sec. 3-1]
Likewise if Pi,u(x) represents the cubic interpolation to then
Pi mix)
= [Or
3-35
i based
upon xi, x,, x*, and x(,
- Xi)Pikl - - i,)P;*i]/(x, (x
Xi)
It is to be noted that each P.y ... is symmetric in all subscripts. f(x) were exactly a polynomial, say of degree n, then any selection of n + 1 points ii, Xj, Xk, . . • would give the same Put.. Ax). At each stage of Aitken's inter polation it is necessary to choose two different sets in order to take the next step of Whenever these two different sets yield going to a polynomial of higher degree. results that are in sufficiently good agreement, it is unnecessary to go farther. The error made in interpolating by a polynomial of degree n based upon xo, xt, . . . , i, can be shown to be not greater than
If
where
M\u(x)\/(n +1)1 — xi) • •
= (x — Xo)(x
w(x)
•
(x
—
x„)
/
and M is the maximum value of the (n + l)st derivative of on the interval that con tains all n + 2 points x, Xo, ii, . . . , x«. The polynomial w(x), and hence the error, ran become quite large outside the interval containing the n + 1 points Xo, X\, . . . , i„ whence extrapolation is generally unreliable. Within the interval w(x) oscillates, and when the points x< are uniformly spaced, or nearly so, the oscillations will be greatest near the ends and least toward the middle.
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4
ALGEBRAIC
EQUATIONS
This article on algebraic equations will be concerned principally with techniques of numerical solution, and certain general principles upon which these techniques are based. In Art. 4.1 the treatment of linear equations will be discussed, most of the background having been laid down already in Arts. 1.2 to 1.5. The general theory of nonlinear algebraic equations will be outlined in Art. 4.2. In particular, one is some times interested in certain relations among the roots rather than in the roots them selves, and these relations can often be determined in a simple way from the coeffi cients. With the background given here, the strictly numerical techniques will be given in Art. 4.3, some of which apply to transcendental equations as well. A brief resume of methods applicable to systems of nonlinear equations will follow in Art. 4.4. The latent root problem was raised in Art. 3.3 and the numerical treatment will be developed in Art. 4.5. 4.1
Systems of Linear Equations
The problem of solving a system of linear equations is that of finding the elements of an arithmetic vector x to satisfy Ax
= fc
(113)
where A is a known matrix and k is a known arithmetic vector. Whatever may have been the original setting of the problem, one is always free to postulate an arbitrary coordinate system (0;e), orthonormal or not, and relate the equations to the system. Thus if eA » a » (ai,as, . . .) eA- = k Eqs. (113) can be interpreted as those satisfied by the coordinates of k in the resolution = ex and inter along the vectors ai, as, . . . of the columns of A. Or one can take pret each scalar equation (113) as the equation of a hyperplane whose common intersection x is required. In the special case when A is positive definite, one may suppose that the system e is such that ere = A. Then if x = ex, one is asking for the contravariant representation x of x (Art. 1.5) given its covariant representation k. Finally, if A is symmetric, whether or not it is positive definite, the equations can be related to Eq. (81), with x =• p and k = a, and interpreted as defining the center of a central quadric. Each of these interpretations suggests techniques for solving. Equations (113) axe said to be homogeneous when k = 0, nonhomogeneous when
I
3-36
MATHEMATICS
[Sec.
3
0. When A is square and nonsingular, there is a unique solution x for any k. Clearly if k = 0, x = 0, and this is said to be a trivial solution of a set of homogeneous equations. Consider the case k = 0; suppose that A has n rows and N columns, where n and N may or may not be equal; and let p be the rank of A. If p < N, the columns of A are linearly dependent and, in fact, there are N — p linearly independent vectors xi, xt, . . . , zy_p, each of which satisfies the homogeneous equation Ax = 0. Moreover, Since any linear combination of these xs also satisfies the homogeneous equations. p < n, one can pick out p rows of the matrix A that are linearly independent. These correspond to p of the equations, and any x that satisfies these p homogeneous equa tions will satisfy them all. From the resulting matrix one can pick out p linearly inde After a possible rearrangement these can be supposed to be the pendent columns. first p. The p equations can then be solved for £i, £i, . . . , in terms of the remain to give the general solution of the homogeneous equations. ing and only the rank of the augmented Nonhomogeneous equations have a solution matrix (A,k) the same as the rank of alone. If = n, this always the case, since the rank of a matrix cannot exceed the number of its rows. If the nonhomo geneous equations (113) have a solution x, and the homogeneous equations Ay — also have a solution y, then clearly
Ax
~
k
is
0
p
if
is
.4
if
if
{s
£/>
k
- A(x
+ \y)
+ \y also satisfies the nonhomogeneous system, where In experimental work often happens that the elements of
r
+
is
is
k
is
the vector
is
is
r
A
is
h
t
is
r
where the residual vector to be small in some sense. The simplest criterion hat rTr be minimized. In terms of orthonormal coordinates, this means that the vector and hence that projected orthogonally upon the space of the columns of is orthogonal to all columns of A: rTA = 0. Hence x determined by the normal equation
ATAx
=
ATk
(115)
= diag [ui,ci>i,
. .
$2
0
is
This the method of least squares. It may be that the measurements will not be regarded as of equal reliability but that measures of relative reliability can be assigned. Let ui > represent the weight assigned to the ith measurement, and let . ,«»]
0,
r
is
fi
Then instead of minimizing rTr one minimizes rTUr. Thus (being positive definite) taken to define an underlying metric, and will be taken orthogonal to the columns of with respect to the metric O. This means that rTQA = and the normal equation ATUAx = ATSik (116) is
A
/,
it
is
it
A
is
A
is
is
if
is
n
is a
= and both are spe Evidently Eq. (115) special case of Eq. (116) with cial cases of Kqs. (113) in which, indeed, the matrix positive definite or, at least, semidefinite. To return to Eqs. (113), square and theoretically singular, then a mathe If matical analysis known numerically only and required. square, will seldom turn out to be strictly singular, although may be so nearly singular that an accurate solution difficult (or even impossible). At any rate, the "solution" first arrived at, which will, in any case, be only an approximation because of rounding errors, will need to be improved by an iteration of some kind. Most of the common methods can be classified as direct and iterative. direct method would yield an exact solution after finite number of arithmetic steps, except for the presence of rounding errors. While such methods are themselves iterative in a
A
is
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X
any scalar. are the results of experimental measurement and are therefore subject to experimental error. In such a case the system of Eqs. (113) often overdetermined, which to say that n > N, but one expects the system to be satisfied only approximately. Strictly one seeks a vector x satisfying Ax=h (114) it
so that x
Sec. 3-1]
ALGEBRA AND GEOMETRY
3-37
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character, the term will be reserved here for those methods whose individual steps are relatively simple but which define merely an infinite sequence of approximations approaching the true solution as a limit. Strictly, an iterative method is one t hat will improve any given approximate solution, although beyond a certain point rounding errors will contaminate the results and there will be no assurance that subsequent application of the method will, in fact, yield an improvement. A large class of direct methods are based upon Gaussian elimination and differ only If an ^ 0, multiply the first in the order in which the computations are carried out. In the resulting equation the equation by an/an and subtract from the second. coefficient of {i will be — OT21 (cni/oii)ofn = 0
Thereafter use this new equation in place of the second equation. The Next multiply the first equation by orsi/an and subtract from the third. coefficient of £i in the resulting equation will likewise be 0. Thereafter use the new equation in place of the original third. Proceeding thus one obtains n — 1 new from all of in equations, which the term fi is missing. The original first equation together with these n — 1 new equations constitute a system that is (apart from the inevitable rounding errors) entirely equivalent to the original system. Thus £i has been eliminated from the last n — 1 equations by means of the first. One could, of course, have used any equation other than the first, say the tth pro Rounding vided an 5^ 0, in order to eliminate £i from every equation but the tth. errors will be minimized by selecting that an known to the largest number of significant figures or, when these do not differ, selecting the largest. One could also have selected any other J to be eliminated. Having eliminated, say, {i from n — 1 of the equations, one selects one of these, using it to eliminate {j, say, from the remaining n — 2 equations; from these one is selected to eliminate |3, etc. The final result will be one equation that contains {„ but no other £; one that contains only {„_i and £„; one which contains only £„_j, f„_i, and It is now possible to solve for £„; substitute and solve for sub stitute both and solve for £„_.; . . . , eventually obtaining all the elements of the vector x. This is called back substitution. To organize the computation exactly in accordance with the description would necessitate rather more recording than is strictly necessary. One notes that assuming the equations to have been taken in order and the & eliminated in order, the result of the elimination is a set of equations in the form Wx = h
(117)
where IF is an upper triangular matrix, which is to say that all its nonnull elements aro on and above the main diagonal. Such matrices are readily inverted (precisely by the
method of back substitution). Moreover, the inverse is upper triangular, and the product of two upper triangular matrices is again upper triangular. An upper triangular matrix with units along the diagonal is unit upper triangular. The inverse of such a matrix is also unit upper triangular, and the product of two such are again of the same type. Analogous definitions and statements hold for (unit) lower tri angular matrices. Now in the reduction of the original system to the form of Eq. (117), each step involves the multiplication on the left by a unit lower triangular matrix of a simple form (only one off-diagonal element is nonnull at each elimination). The result of all these is again that the system has been multiplied on the left by a unit lower triangular matrix. This proves that in general, given any matrix A, it is possible to factorize it into a product of the form A = LW (118) where L is unit lower triangular and W is upper triangular (or where W is unit upper triangular and L lower triangular). The diagonal elements of L are all known (to be ones) and those above the diagonal are zeros; the elements of W below the diagonal are zeros. Hence in L and W together
3-38
MATHEMATICS
[Sec. 3
Crout's there are ns elements to be determined, and these fill out a square array. method and the Doolittte method amount to writing first the rectangular augmented matrix (A,k) and passing directly to a new rectangular array that can be written schematically
(L'\W,h)
L being placed where the null elements of W would go. The elements in this array are determined by relation (117) together with
the significant elements of
Lh
k =
and can be determined in sequence as follows: first row of W, first column of L, second row of W, second column of L, . . . , and each element of h can be found along with the corresponding row of W. Thus the first row of IT is precisely the first row of A ; the elements in the first column of L are determined from the relation X,i«n ~ an knowing
X21, one
can find the elements of the second row of W by +
XjlWl, the elements of the second
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t > 2
U2;
L
column of
> 2
are found from
X.'iwu + Xi2Ci)u =
....
j
atj
=
i; > 3
an
To complete the solution the factorization must, of course, be followed by back substitution. Note that one could solve simultaneously any number of systems, each having the same matrix A of coefficients, by merely replacing A by a matrix, one In particular, if h is replaced by the identity /, then column for each of the systems. after the factorization L~' will appear instead of k and the back substitution will produce A~'. If D is a diagonal matrix whose elements are those of the diagonal of W, then D-*W where
U
is
unit upper triangular.
=
U
Hence A can be written
A
=
LDU
In particular, if A is symmetric, U = LT. The recording can be further reduced in that case in that only L and D (or D and U) need be written. If V = LD^, a sym metric matrix can be written A
=
VVT
and this is the Choleski method, or the square-rooting method. Unless A is positive definite, this method has the slight disadvantage of introducing imaginary quantities. The method of partitioning is rather different in character. Let A be partitioned in any manner
A
=
it1 \An t2) An)
with, however, An and An. both square matrices. if the inverse is similarly partitioned
VC»
one can verify that
Cn
=
C» Cu
=
-
(An
—
Suppose An-1 is known.
Then
Cn)
At\An~1A\tTl
-cJUnAu"
A.r'U,,
- A„C„)
(119)
ALGEBRA AND GEOMETRY
Sec. 3-1]
3-39
is useful in special cases when a particular submatrix is easily inverted. 2X2 minor, one can border this to a 3 X 3, then border this to a 4 X 4, and so on, sequentially, where column vector, and A2! a scalar. at each stage An is a row vector, A large class of iterative methods are based upon a decomposition of A into the sum of two matrices: The method
One can. also
invert by progressive enlargement: having inverted the
i»a A
A, + At
=
(120)
the first is readily inverted, and defining the sequence x, by
of which
A\x,+i
r,
Let
= k
An,
—
k - Ax, - As, m
(121) (122)
It is essential that the vectors r, (or «,) become progressively smaller. If an iteration form of Eq. (121) converges, t hen it converges for any starting vector Xo whatever. In the method often called the (Gauss-) Seidel method Ai agrees with A on and below the main diagonal and is null elsewhere. The method is known to converge when A is positive definite. It also converges when each diagonal element exceeds in magni tude the sum of the absolute values of off-diagonal elements in the same row or again if it exceeds the sum of the absolute values of off-diagonal elements in the same column. Another common method is to take for Ai the diagonal elements of A. This also converges if each diagonal element exceeds in magnitude the sum of the magnitudes of the off-diagonal elements in the same row (or in the same column). In the Seidel method one takes the individual equations in rotation and solves the ith equation for ^ i), thus using the current approximations for the
- ... -
*.•
-
«,.«_,&_,(»+«"
(j
{ ,
J,-
- -
«iiti<'+«
o,,4+1eJ+,<»)
- ... -
«„„£„<" (123)
until the end of a complete cycle:
in the other method one retains the
whereas
= xi
«nti('+»
- o.iii'') -
• •
—
- fl«.<+i{ -
ow-ifa-i1'1
•••
-
«(,„{„<') (124)
Afc('>
-
-
A
is
£.
is
is
a
is
The method of relaxation differs from the Seidel method only in that instead of following strict rotation, that equation always selected which gives rise to the greatest a desirable procedure when the computation This by hand but change in the not feasible with automatic machinery. Often an iteration of the form of Eq. (121) [including Eqs. (123) and (124) when the equations are taken in strict rotation but not otherwise] can be made to converge more operator by rapidly by application of Aitken's i1 process as follows: Define the
A'fi'"' {< A'fi'"' = A£i - Afc'"'
=
A£i - Afc'"'
{j
Having obtained three consecutive sets of iterates £<»)
of forming
instead
{|C'+»
in the ordinary way, one forms £'<
-
I/'4-*
- [Afc]7A»fc<"
think of the {'< as being elements of new starting vector z'o. How process will sometimes convert divergent iteration to a convergent one. should not be applied for theirs* time until after a number of simple iterations
ever,
a
4*
it
The
a
One can
have been carried out.
The iterations of Eqs. (123) and (124) are especially useful when the equations are In such a case difference equations used to approximate differential equations. the matrix has a great many null elements and the equations are simple but many number. It sometimes happens that the equations can be grouped in such way that instead of solving each equation individually for the corresponding {i, one can a
A
the in
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of the
3-40
MATHEMATICS
[Sec. 3
solve a group simultaneously for the corresponding set of A might have the form
A
/A0 An
= I
M«
A15
Ao A3!
{s.
For example, the matrix
Au A*i Ao
where the same small submatrix Ao occurs repeatedly. Then Ao can be inverted once and for all. The block method will also accelerate convergence. The 4' process can be applied equally well to the results of such an iteration. However, every application of the 4* process should be followed by a simple iteration to reduce rounding errors unless the simple iteration is divergent. Geometric considerations lead to other iterations useful in some cases. Let Eqs. If u is any (113) represent n hyperplanes whose common intersection is required. vector whatever, then uTAx = uTk (125) is also a hyperplane through the point. Let xo represent any point. Its orthogonal projection Xi upon the plane of Eq. (125) will be closer to x than is Xo unless xo is itself on Eq. (125). The projection can be found by solving to obtain that X for which Xi = Xo
+ \ATu
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If
satisfies Eq. (125). The simplest choice for u is one of the coordinate vectors a. these are taken in rotation and a complete cycle is regarded as one iteration, the 4' process can be applied to any three consecutive iterates. Let Eqs. (113) represent the resolution of the vector k upon the columns of A. Let
represent any approximate resolution that yields a vector Axo deviating from k by the residual xo
ro = k — Axo
If u is any vector, project ro orthogonally upon the vector Au, adjoining the project ion to Axo. Unless r0 is itself orthogonal to Au, the new residual will certainly be shorter than ro. Analytically one takes Xi — Xo + Xu so that uTAT(rD XAu) = 0 — =» since XAu ro ri
-
is the new residual that is to be orthogonal to Au upon which the projection is made. Again the simplest choice for u is one of the ej, and if a complete cycle constitutes an iteration, the 4! process can be applied to three consecutive iterates. The last method can also be applied to the problem of least squares of Eq. (114), and the normal equations need not be formed explicitly. If each new vector Au is chosen, not arbitrarily, but orthogonal to all preceding, then the iteration terminates and the method is a direct method. When any direct method is used, one obtains a vector x0 that, in fact, will deviate more or less from the true solution x because of rounding errors. Hence when the computed vector x0 is substituted into the equations, a vector Ax0 will result that
deviates from k by
r0 =
where
k
—
Axo = Ax
— Ax0
=
— s0 = x x0
A(x
Hence Xo differs from the true solution x by a vector the equation A.s„ = r0
s0
—
xo) = Aso
that, though unknown,
satisfies (126)
having the same matrix as the original set. If the Crout method has been used or anv factorization method that gives A in the form of Eq. (118), then the major portion of the work required for solving Eq. (126) has already been done. Naturally one will
I
algebra and geometry
Sec. 3-1]
3-41
Nevertheless, not obtain the true solution of Eq. (126) but only an approximate one. if this solution is added to xo, the result will generally be an improvement. If Co is an approximation to A'1, then C, be a better one.
will often
- C0(2/ It
AC)
= (2/
-
CA)C
(127)
will be better provided the deviation matrix
I
=
R
- AC
small in some sense. A sufficient condition is that the sum of the magni elements of every row (or of every column) be less than 1. If this is true, be assured that C will be an improvement over Co and that, in general, any
is sufficiently tudes of the one can
Cr+,
=
-
C„(2/
AC,)
C
until the improvement becomes submerged in the improvement over errors. A complex system can always be Hitherto all matrices have been supposed real. written in the form (A + iB)(x + iy) =h+ik will be an rounding
When this is
multiplied out and real terms and imaginary terms equated, one has = h k
-
this is equivalent to the system of order 2n:
a)
(b
=
linear equations therefore reduce directly to the real case. Theory of Equations
4.2
In this article will be considered polynomials of degree
that
■• •
+ o„
+
•
±cn)
^
an
(128)
the roots of the algebraic equation
f(x)
=
(129)
0
and their zeros,
-
+
s»
• •
-
atx" + aii"~l + aix"-1 + cix"-1 ctx'~* ao(i»
™
is,
fix)
n > 0:
0
Complex
0
(fc)
Hence
algebra asserts that an algebraic equation has at least one fundamental theorem root, real or complex. Given this easy to prove that an equation of degree n has ezactly n roots, which may or may not be all distinct. The remainder theorem asserts that after dividing f(x) by x — any constant, the remainder f(r): m
r
is
is
7i
f(x)
(x
is
if r
it
of
The
-r)q(x) +/(r)
— r)q{x)
(130)
R
+
s
r is
if
if
is
is
r
is
r
{x
Indeed, the relation f(x) m must hold identically (i.e., for all x, in particular), which proves the theorem. The factor theorem asserts including x = that x — a factor otf(x) (the division and only a root of Eq. (129). exact) This a direct consequence of the remainder theorem. is
0,
if
(x
.
x.
are roots of Eq. (129) and there are no others.
(x
2.
■.
,
that X\, Xt,
(x
is
1.
is
is
and
(z
is a
of
If
— xClq\(x), where qi(x) root of Eq. (129), then f(x) a polynomial xi degree n — also a root of Eq. (129), and con Evidently every root of qi =0 versely, any root of Eq. (129) must be either xt, which causes x — Xi to vanish, or else — x2)
a
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Ax — By Bx + A y
This proves
3-42
MATHEMATICS
[SBC. 3
the assertion made above that there are exactly n roots. whence
f(x)
- xi)(x - xi)
= a0(x
■ • •
(x
It
is clear that q„ =
- in)
o0,
(131)
The fact that an algebraic equation of
degree n can have no more than n roots can often useful forms: If a polynomial of degree n or less vanishes for n + 1 distinct values of x, it vanishes identically, and if two polynomials of degree n or less are equal for n + 1 distinct values of x, then they are identically equal. On multiplying out the right member of Eq. (131) and comparing coefficients of the various powers of z with those in Eqs. (128), one has be phrased in the following
-
y Xi = ci
I
I
i
XtXj
—
oi/ao
= c2 = aj/ao
(132)
ii.j) XiXjXk
= Cj = —at/ao
«j,t) The summations Thus for n 3,
are
extended over only the distinct combinations y
XiXj
- X\Xi
+
Ills
+
X\X%
of distinct xs.
These are called the elementary symmetric functions of the roots. If one substitutes x = y + h in Eqs. (128), the result can be written in the form
f(y +
h)
=f(y) +
hf'{y) +
hT(y)W
■■■
+
+ h"P»Ky)/nl
(133)
after collecting the several powers of h. In this expansion, f'(y), the coefficient of h\ is called the (first) derivative of/ evaluated at y. Likewise /" is the second derivative, /'" the third, . . . (cf. Art, 1.1 of Sec. 3-2). The derivative of a sum is the sum of the derivatives, the derivative of a constant is zero, and multiplying a function by any constant multiplies any of its derivatives by that constant. By applying the binomial theorem (Art. 1.1) to (y + h)' one obtains the formula for the derivative of a power: (y»)(.)
_
n(n
-
• • 1) • («
-
*
+
l)y-*
(134)
Also one verifies directly that
It
/(,/ + h)g(y +
follows that
+ =
- g(y)
(i
+ jHh derivative of the function
hg'(y) +
f(y)g(y) + h[f(y)g'(y)
•
+f'(y)g(y)]
W-fg'+fo
+
whence
h)
g(!l
then
the
(135)
• •
any polynomial,
derivative
k)
If g(i)
t'th
+
the jth derivative of an is
that itself.
is
[/(.)|0) =/(.+/) is,
■■■
(136)
is
Corresponding formulas for higher derivatives are obtainable from other terms in the above expansion. Let [xo,f(xo)\ represent a point on the curve, whose equation
U
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-
-/(«.)
ALGEBRA AND GEOMETRY
Sec. 3-1] The straight
3 43
line whose parametric equations are
ii
= xo + h
£2 =
/(xo) + mh
h, has slope m, passes through the point [xn,/(xo)], points corresponding to those values of h which satisfy
with variable curve at
/(*, +
f(x0) + mh = On applying
Eq.
If
itself.
h)
(133) and collecting terms this gives
- m] + A»/"(*o)/2!
0 = h[f\x0) The equation
and intersects the
+
. . .
(137)
is evidently satisfied by h = 0, which corresponds to the point [xo,/(x0)]
one takes m = /'(x0)
is a double root of the equation in h. The line is then said to be tangent If it is also true that/"(x0) = 0, t hen /'(x0) is the slope of the curve. root, and the point [xo,/(xo)l is said to be an inflection of the curve. Any root of Eq. (129) is given by Suppose x0 is a root of Eq. (129), and let m = 0. it + k, where h is a root of Eq. (137) with m = 0. If f'(xo) = 0, then h — 0 is a double root of Eq. (137) and xo = 0 a double root of Eq. (129). Hence Xo is a double mot of Eq. (129) if and only if then h = 0
to the curve, and h = 0 is a triple
0
root also of the first derived equation
fix)
=
(138)
0
double root of Eq. (129)
is a
a
is,
that
any convenient
7,- >
-/
7./i = 7i+l/.+l
/<+J the
—
remainder after =
/-+.
fi+i
(139)
Let
division.
m be the smallest
0
is
the quotient, for which
where q>+t index
1
/»-/'
let
a
and for
0
/.
is
if
1
-
is
a
is
More generally, a root, of each of the first m — root of multiplicity m of Eq. (129) derived equations. Also a root of multiplicity m of Eq. (129) a root of multiplicity m of Eq. (138). Hence all multiple roots of Eq. (129) are zeros of the highest common factor of f(x) there no such factor (other than a constant), then Eq. (129) has only and/'(x), and Consider the following algorithm: For uniformity let simple roots.
fi
if
of
is
A
,
/,
is
0,
is
a
V U
1-
j3
H
if
-)
...
,
/o
is
/„ the highest common factor of and /1. Many numerical methods require that the roots be isolated at the outset, i.e., that for any desired root some region be known to contain that and no other root of the equation. The sequence of Eq. (139), besides providing the highest common factor of /and /', permits the isolation of real roots by means of Sturm's theorem. When the functions are written in order, /0, fi, ft, and evaluated for any a, let Va represent the number of variations in sign in the sequence has two (thus the sequence Then variations, whereas +H — and each has but one). neither a nor are ignored in the sequence, the difference root of Eq. (129), and vanishing each root being counted once the number of roots between a and m — Vf regardless of multiplicity. Budan's theorem more easily applied but gives less information: In the sequence /", . . . the difference in the number of variations at a and may exceed the number of roots on the interval (roots being counted according to multiplicity) but Descartes' rule special case signs: The number of always by an even number. Then
/',
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/(x„) = /'(x„) =
3-44
MATHEMATICS
[SEC. 3
sign variations in the coefficients may exceed (and is never less than) the number of positive real roots, but always by an even number. In Eq. (130) let q(x) = qox"-1 + g,x"-J + • • ■ + g„_i On multiplying
and comparing coefficients one finds 'la
= a0
?<
/(r)
+ qi-yr
— Oi
= a» + qn-ir
This justifies the algorithm known
as synthetic division: For dividing /(i) by x — r, the coefficients of the quotient and the final remainder are obtainable from the following scheme: o0
qo
Let f(V + r)
at
a2
• • •
q0r
qir
■ • ■ q„_ir
qi
92
= g(y)
• ■•
a„
[r
/(r)
^ b*y + bxy*
+•■•+&„
(140)
If Eq. (129) has roots xi, x xu, and if g(y) = 0 has roots jfi, j/2, . . . , yH, then are roots each suitably the Hence one says that to obtain Xi = v; + r. (if ordered) the equation g = 0, the roots of Eq. (129) are reduced by r (which could be a negative Now
number).
g(y) = g(x
- r) -
b„(x
- r)n + bi(x - r)""1 +
• ■■
+
b„
Hence 6„ is the remainder after dividing f(x) by x r; 6„_! is the remainder after dividing the quotient by x — r; . . . . Hence for reducing the roots of an equation one can extend the method of synthetic division:
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—
Ol
ai
9or
9ir
9o
9i
92
9'o
9'.
9'»
9V
q'ir
■• ■ o„_i ■■• ■■■ • • •
9»-i ?'„_sr
a. 9»-ir b.
6.-!
In this table if r > 0 is such that the qs on any line together with the 6s on and above that line are all nonnegative, then r is an upper bound of the roots of Eq. (129). For this implies that every bi > 0, whence g > 0 for y > 0, whence > 0 for x > r. r is an upper bound to the roots of }(—x) = 0, then — r is a lower bound to the roots of Eq. (129). In case the coefficients a, of f(x) are all integers, if r is a rational root in its lowest terms p/q, then p divides a„ and q divides do. Thus all rational roots can be found by trial and divided out, and all multiple roots can be removed after the highest common factor of and /' is found. Since/' represents the slope of the graph off, it is evident geometrically that between must vanish at least once. This is Rolle's theorem (between distinct zeros of f(x), consecutive zeros of there must be an odd number of zeros of/', counting multiplicities). Between consecutive zeros of /' there may be one or no zero of /. An nth-order linear homogeneous difference equation is a relation of the form
/
/
/
If
f
oo{»+»
+ aii„+r-i +
• • ■
+ a„i, =0
oo
^ 0
(141)
connecting any n + 1 consecutive terms of a sequence £». If a sequence is such that any n + 1 consecutive terms satisfy Eq. (141), then the sequence is said to be a If J, and r\, are any two solutions of Eq. (141), solution of the difference equation. then a(, + f}y, = f„ is also a solution, where a and (3 are arbitrary fixed scalars. If Xt is a double Xi is any root of Eq. (129), then the sequence *<» satisfies Eq. (141). root of Eq. (129), then it can be verified that vxt' also satisfies Eq. (141); if Xi is a
If
3-45
ALGEBRA AND GEOMETRY
Sec. 3-1]
l)!,'-'] satisfies Eq. (141); . . . . root, then also vhd' [or, equivalently, v{v there are always at least n distinct solutions of Eq. (141). Conversely it can be shown that given n distinct solutions {,(u, . . . , {»'"' of Eq. (141), any solution is as a linear combination of these. Equation (129) is the characteristic expressible tquation of Eq. (141). In case the terms £0, ti, . . . , £„-i of a solution are known, other terms of the sequence can be obtained recursively by applying Eq. (141) with v = 0, 1, 2, . . . Hence these initial values determine the solution uniquely. Of par consecutively. ticular interest is the solution —
triple
Hence
an = n
The
initial terms of the sequence a, can be shown to satisfy Newton's identities
=0
awn + Oi Oocrs
+
ai
floff.i
+
Oia2
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aoff„
If
n
on ^ 0, =
+ +
= 0 = 0
2a2 ojff3
+ aia„_i +
+
• ■•
3oa
+ Hn-Kn
(143)
+ na» = 0
the difference equation can be reversed to obtain
. . .
(note that
n). If one sets h(v), a function of y, on the right of Eq. (141), the result is a nonhomo-
geneous
difference equation.
Given any particular solution
f,
of the nonhomogeneous
equation, if £„ is a solution of the homogeneous equation, then j", +
The Solution of Algebraic Equations
The two roots of a quadratic equation ax' + bx
+
c
=0
are given by the quadratic
formula x = The quantity
which occurs the roots are A = 0.
(-6
±
A =
V^-4oe)/(2a) 6* — 4ac
If A < 0, under the radical is called the discriminant of the equation. Otherwise they are real, and they coincide when complex and distinct.
exist for the roots of a cubic and also for the roots of a quartic equation. numerical computation they are of little practical value, and for equations of degree 5 or higher such formulas do not exist for the general case (clearly they do in However, there are special cases, as when factorization is known to be possible). various methods of successive approximation, which permit a determination as accurate as may be required (or as the accuracy of the coefficients will justify, in case these are only approximate). It will be supposed in this article that the equation to be solved has only simple roots. It has already been shown (Art. 4.2) that all multiple roots satisfy an equation of lower order which is obtainable from the equation and its first derived equation. As a practical matter, however, an equation can have even a single pair of equal roots only when its coefficients satisfy a certain algebraic identity. If the coefficients were selected at random, the probability is zero that such an identity would be satisfied. Formulas
For
3-46
MATHEMATICS
[Sec.
3
Other equalities among the roots imply other identities to be satisfied by the coeffi One can be assured that if the coefficients are given experimentally, then cients. unless they are required a priori to satisfy the conditions, they will not do so in fact. However, there may be roots that are nearly equal. A pair of nearly equal real roots will be nearly equal to a root of the derived equation (this will lie between them), and it may be advantageous to find first this root of the derived equation. For finding a real root, the method of false position is one of the simplest. Let the By graph equation be given by Eqs. (128) and (129), and let a be the root required. ing the function or otherwise, one can determine numbers io and xi such that the root a alone lies between x0 and xi. The root a can be supposed a simple root, since multiple roots can be found otherwise (Art. 4.2). Then/(x0) and/(xi) will be opposite in sign. The chord joining the points [xo,/(xo)l and [x\,f(xi)] will therefore cross the axis between
xo
and xi at
- Xl/(X0)]/[/(Xl) - /(xo)]
12 = \xo}(xi)
If /(xo) and /(x2) are opposite in sign, proceed with x% replacing xi ; otherwise proceed One obtains thus a sequence of values of x that approach a. with i2 replacing x0. Horner's method is equally simple. Suppose xa is an integer and Xt < a < x<>+ 1. Reduce the roots (Art. 4.2) by x0. In the new equation the desired root is a — xo By trial determine the largest number of the set 0.1, 0.2, 0.3, . . . , 0.9 that < 1. Let xi be the total amount does not exceed a — Xo, and reduce again by this amount. by which the roots have been reduced. Then the desired root in this equation is By trial find the largest number of the set 0.01, 0.02, 0.03, 0.09 a xi < 0.1. At that does not exceed a — Xi, and reduce by this amount, making a total of Xi. each step one finds an additional decimal in a. In practice only a few steps of this kind will need to be taken (one, two, or three) At some stage let z = a — Xi satisfy unless there is another root very close to a.
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-
or
....
boz" + fciz"-' + • bn-iz = —b„ — b„_2Zs
• ■ —
bn = 0 • ■• — boz*
+
(144)
If 2 is very small by comparison with all other roots, then all terms on the right that contain z will be small by comparison with b„. Then, approximately, z =
-6»/6»_i
and this approximation, when substituted for z on the right, gives a still better approxi mation. This cycle can be repeated as many times as desired. This process of repeated substitution is one of a very large class of iterative methods. If the equation is written in the form x = *>(x)
(145)
which can be done in infinitely many ways, one can define a sequence by x„+i = ip(x,)
(146)
with a suitable initial term xo, and if the sequence converges, it converges necessarily to a root a of Eq. (146). When xo is sufficiently close to a, the sequence will converge provided !*>'(*) I <
i
throughout some interval containing a (for derivatives of functions other than poly nomials, see Art. 1.1 of Sec. 3-2). This means that the graph of has a sufficiently small slope throughout the interval. The optimal situation is that the curve shall be horizontal at x = a:
f
*>'(<*)
= 0
and this holds for Newton's method, which utilizes the iteration x„+i =
x,
- f(x,)/f'(xr)
(147)
Sec.
3-47
ALGEBRA AND GEOMETRY
3-1]
Newton's method does not differ greatly from Horner's except that in the former one chooses xo to satisfy either zo < a < zo + 1 or else i0 > a > lo — 1, always so that neither /' nor /" vanishes between xo and a and so that/(io) and /"(xo) have the same sign. This means that if the curve is concave One then down, one starts below the axis; if concave up, then above the axis. diminishes the roots by xo, then by the nearest tenth, then the nearest hundredth, but never by enough so that the curve is crossed. Again the equation can eventually be put into the form of Eq. (144) when z has become small enough. = 0 are to be included among those of Eq. (145), then >(x) must be If the roots of of the form In practical application
method
/
-f(x)/g(x)
/ have
no zeros in common. Conversely, if
and
can use
it to
define
-
z,+i
(z, + o/z,)/2
Convergence of these and of many ot her sequences can be accelerated by the appli of Aiiken's S* process. This was described in Art. 4.1 for sequences of vectors and applies equally to sequences of scalars. It will, in fact, convert a divergent sequence to one that converges. A sequence of a different type is used in Bernoulli's method. Any solution {, of the difference equation (141) can be expressed as a linear combination of the powers of the
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cation
roots
of Eq. (129):
£„ =
as already explained. Then if a, 5* 0, £„ =
r increases, Hence in the limit
and as
If
a,Xi' +
• • •
+
orsXi'
+ a»Z.'
the equation has a root of largest modulus, call this X\. ■■•
Xi'[a, + caixt/Xi)' +
+an(xjxl)']
all terms but the first within the bracket will decrease
-
hy
*,+i/£,— x,
to zero. (148)
If the initial values {0, (it ■ ■ • . in-i are chosen arbitrarily, there is zero probability 0/ selecting these by chance so that ai = 0. Nevertheless on might be so small as to retard the convergence seriously. The special choice £, = a, (Art. 4.2) gives all roots equal weight. For accelerating convergence, the t1 process should be applied to the sequence of quotients h, rather than to The method can be restated by saying that the roots of the sequence of equations I
form a sequence that approaches that of any other root. If
«'
I
-0
zi in the limit provided the modulus of
> 1**1 > then
1
it is also true that the roots of the «.
W
•
>
sequence 1
> |z.|
of quadratics
Xi exceeds
3-48
MATHEMATICS
[Sec.
3
form two sequences that approach Xi and Xj in the limit. Thus if Eq. (129) has a pair of conjugate complex roots of maximum modulus, then the sequence £,+i/£r will not approach a limit but these quadratics will define converging sequences. Again let >
|i.| Then the
sequences
W
>
M
>
W
>
formed from the three roots of
i,
£,-i
{,-.
£»+i
z.
Sr-1
t,+.
s»+l
i,+l
t.+i
1
I
i.
X
«,+ !
X
approach x,, x«, and i>, and likewise for the equations of higher degree similarly constructed. Lot
that are
£,(•> = 1
z,w
= z,
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. Each of these determinants following manner:
i.
«»-!
Jr+l
{.
l,-l\
«,-! =
£,
{,-.
£r+l
«»
1
can be formed from determinants
of lower order in the
and the sequence of quotients of consecutive determinants have the products of the roots as their limits: i.x, A/2' = £,+,<»/$, - i.x,
-
In particular, XiXj,
if |xi I
>
|ij|
> |z,|
>
• ,
since A, approaches Xi and
A,<2)
approaches
fc,<»/A,-» xs Likewise
In principle, therefore, all roots can
be found by this process, although rounding errors increasingly difficult to control. The smaller roots, however, can be obtained independently. One has only to observe that the roots of become
a„x" + a„-ix"_l +
+
0
are the reciprocals of the roots of the original equation. Consequently the largest roots of this equation are the reciprocals of the smallest roots of the original equation. Bernoulli's method has the advantage that rounding errors do not accumulate within the same sequence (although they do build up as one passes from one sequence to a The method has the disadvantage of slow convergence. sequence of higher order). To Graeffe's method converges more rapidly but accumulates the rounding errors. apply this, one writes the equation in the form
+ a.x"
2
+
a3x"
algebra and geometry
Sec. 3-1]
3-49 The result
squares both sides of the equation, and re-collects all terms on the left. If one substitutes an equation containing only even powers of x.
is
i?
of a root of the original the result is an equation each of whose roots y,- is the square After v repetitions, the result is an equation whose roots are the pth powers equation. of the roots of the original equation, where p — 2'.
It
is most convenient to divide through the original equation by start with the form
a0
at the outset and
hence to
X" + After
»
fjl"-1 +
steps let the equation be
X"
- C,X"-'
Then, with p = 2»,
+
CtX--'
C,X"~» +
where all terms after the first within
Nil v is
- *l'(l
■■■
X|» + Xlp +
■■■
+ ex*'* +
■• ■
=0
■■■
+ XSISX," +
= Xi"X2"X,"
But
In this event, when
-
C, = x," + x2" + ■ • • & = X,"X;- + XfXt' +
d
■■■
+ Xj»/Xi» +
• •
■)
the parentheses become small, provided
> N»l >
Nil
>
sufficiently large, <"i =
Xl"
Likewise if
Xi'Xj' +
then where,
when
y
Nil > Nil Xi»Xi» + ■ •
> •
Nil > |x.| > • '• • x,"xtP(l + XjO/Xj" +
=
• •
-)
again, all terms after the first within the parentheses become small. is sufficiently large, Ct = xi^xi" C./C, = x+
Hence,
sufficiently large,
p
Nevertheless, when cos (pfl)
v,
0
+
is
-
if
it
•
(\ * p"
but C\ will oscillate because of the term in cos (pfl). also true that close to ±1, C, = 2p» cos (pfl) the equation and therefore, C,X X1 C\ = taken at suitable values of
■
+
-
■
!■> = exp (—i0) > |ij| > \xt\ > exp (ifl) Ci = 2p" cos (pfl) 4- x,» xt" + ■ ■ ■ p" + 2xa»p* cos (pfl) + • • ■ Ct p
=
the roots will tend toward x,» and x^.
is
Hence for
xi
*
Then
p
A
is,
Other roots can be found in like manner until the sequence of inequalities is broken = |xi+2|. by an equality; that |z<| > |xi+i|, but |x,+1| Whenever an equality occurs between moduli of roots, the pth root of the corre If the coefficients of the equation are sponding quotient C;+s/C»+i will not converge. real, complex roots occur only in conjugate pairs, and failure to converge will ordinarily be due to the presence of such a pair. complete analysis of all possible cases would be quite long, but suppose, for example, that
is
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■ ■ ■ = c,x"~l
CiX"'4 +
3-50
MATHEMATICS
[SEC. 3
For solving transcendental equations Newton's method applies directly. Bernoulli's and Graeffe's methods also apply but with the following modification: If z = x~l, let viz) = z"/(z-') = 0 Then these methods can be regarded as methods for finding the roots of beginning with the smallest instead of the largest. Interpreted as methods of obtain ing the smallest roots, then they apply to transcendental equations viz) = 0.
Systems of Equations
4.4
Newton's method can be generalized to apply to systems of equations, but in order to describe the method it is necessary to make use of partial derivatives (Art. 1). Let the equations be 0 v>itx,h, ■ ■ ■ ,{.) *.({>,&,
If
we let x and
/ represent x =
• • •
,«.)
-0
the vectors
...,{» |
ifi.ij,
/
= \vi,v% . . .
,vA
these equations are, in vector form, = 0
The first partial derivatives of the which will be represented
with respect to the
U
fia)
form the Jacobian matrix,
=
Let a represent the solution vector, and let y<, = a from a. The Taylor expansion has the form = /(x„)
—
+/,(x„)2/, +
Xo represent
the deviation of
/
=
-
-hia
x0)
+
x<>
■• ■
where the terms omitted are of second degree or higher in the elements since a is the solution, fia) = 0, whence
v>
of y.
But
• • •
/
-
The solution
not possible
is
is
are solved for xi, then xi should be closer to a than x0. nonsingular, but in this event unless the matrix /*(xo)
is
frit
f
/*Xl =
is,
where the elements of and of /, are to be evaluated for x = x0. Suppose xo is close Then if these terms are to a so that the terms that have not been written are small. the equations neglected and the equations solved for x\ with xi replacing a, that
Xt — Xo — /,"'(xo)/(Xi)) to continue the iteration and write Xf = Xi
sequence
of high order, one would wish to limit the number of that converges, although more slowly, given by
is
if
the system
A
However, inversions.
-
- fx~lix<,)fixp)
x,,+i = xp where the same reciprocal matrix
/r'(ii)
Another method of solving the system The function solving linear systems. 2vix)
matrix
is
possible
used throughout.
is is a
It
is
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fix)
generalization of the Seidel method for
=/r(x)/(x)
algebra and geometry
Sec. 3-1]
3-51
Let is essentially positive and has its minimum value of 0 at x = a. of partial derivatives of ip with respect to the £,-. Then the system , ■
is equivalent detail,
system if
to the original
*>«,(ti,£«,
is nonsingular.
• • •
£,<0) to
These equations are, in
,£.) = 0
-0
,*.)
«.(«!,« One selects an approximation
the vector
= o
14
/,
the solution, and thereafter one solves in sequence
«>t,[£.(I>,S*(0W>,
• . • ,I»<0)1
#>f,[«i(,>.i«(,>,{it0).
• • • >«»(0)1
-0 -0
for {i(,) in terms of the assumed {j'0', . . . , |„, Thus the solution of the original system of nonlinear as many times as necessary. equations is approximated by solving a sequence of nonlinear equations each in a For solving each equation of the sequence one can use any of the single unknown. methods described in Art. 4.3. These methods also apply to transcendental systems. It has been presupposed here that the solutions to be found are real. For complex solutions, in place of the vector x write + iy, where x and y are real. When this substitution is made, the vector becomes
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....
i
/
f(x + iy) = g(x,y) + ih(x,y) where g and h are real vectors, each depending upon the two real vectors x and y. Instead of the system f(x) = 0, one has now the system of order 2n: g(x,y) = 0 h(x,y) = 0
Either the Newton or the Scidel method can 4.6
For
be applied to this system.
Latent Roots and Vectors
a symmetric matrix A its characteristic equation \A
has arisen in Art. 3.3. If is not symmetric.
-\I\
=0
The equation has important applications also in
E
is nonsingular
A'
cases when A
and =
E-*AE
then A and A' are similar and represent the same Since coordinate systems (Art. 1.3). then
(149)
transformation
but in different
= A' -\I - \I\\I)E = \A' - \I\
E-'U
Hence the characteristic function
\A
?(X) = \A
- \l\
(150)
is the same for similar matrices, and hence so are the characteristic roots (or latent roots or proper values). A diagonal matrix A = diag (X„\2, . . . ,X») (151)
3-52
MATHEMATICS
has the characteristic function
v(\)
- X)(X5 - X)
= (X,
[SEC. 3
• • •
-
(X.
X)
is
A
is
- \iXi
ytTA = \njiT
(152)
- TiX""1
(-)"(*" 71
= trace
+
=
-
7jX"-«
.
• ■•
7„ = \A\
A
¥>(M
Then
j/,-
0
is,
both have nontrivial solutions (that and solutions a\ ^ are the latent vectors (or characteristic vectors or proper vectors) can take x,- = j/,. The characteristic polynomial can be written
^ 0).
If
A
An
is
X,-
Hence if A is known to be similar to A, the diagonal elements of A are necessarily the latent roots of A. — If any latent root of A, then the matrix singular and the equations X(/
Such solutions symmetric, one
±T.)
(153) (154) is
A
if
X
is a
X,
is
t
is
A
is
the sum and yn where trace the sum of the diagonal elements of A. Also 71 the sum of all principal minors the product of the latent roots of A. In general, 7, of order of A. by If ^(X) any polynomial in then ^(A) matrix obtained by replacing in ^(X). Whereas in general two matrices are not commutative,
theorem states that any matrix
-
It
u(A)+(A) satisfies its own characteristic
0
The Cayley-Hamillon equation:
0
is
(\/>
0
is
In general, possible to form matrices satisfying equations of degree less than n. the polynomial ^(X) of lowest degree with leading coefficient unity for which ^(A) = the minimum polynomial for A, and the may or may not be different from >) equation *(X) = 0,
is
0 0 1
0 0
AX
.
a
0,
/,
(157)
• ■
similar to A, there exists a nonsingular
- A-A
occur among the columns of normal form of the matrix. A
(156)
• •
(158)
X.
The matrix
A is
All latent vectors of
Since
A
of order then /1" = such that
X
0.
/1
matrix
v,
is
If
=
scalar and equal to a latent root X,,
• ■
- X./
"0 and
either
(155)
,Am)
+
A*
.
.
0 1 0
similar to A, where m < n and each Ai or else
(Ai.Aj,
is
= diag
is
A
a
X
is
if
it
is
1
is
0.
is
\j/
0,
a
if
is is
the minimum equation. Then any polynomial for which u(A) = u(X) ^(X) divisor of w(X). If x any vector and the minimum polynomial for A, certainly
/1
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(A)
the Jordan
ALGEBRA AND GEOMETRY
Sec. 3-1]
3-53
A is either diagonal or upper triangular, and its diagonal elements are roots X, of A. If w(X) is any polynomial, »(A) is also upper triangular and One proves inductively that for any integer *, diagonal elements are a>(X,).
The matrix the latent its
A'
=
XA'X-1
that
and hence
o,(A) =
X«(A)X-'
latent roots of a(A) are «(X,). The matrix A is always a diagonal matrix and the columns of X are all latent vectors of A unless the elements of A satisfy certain algebraic identities. Unless such relations or equivalent ones are assigned a priori and imposed, a matrix whose elements are fiven numerically as a result of measurements subject to error may be assumed to be diagonalizable. Only this case will be considered. Even real matrices may have complex latent roots and latent vectors. Hence it is A complex matrix A is said to be Hermilian necessary to consider complex matrices. in case it is equal to the conjugate of its transpose. The conjugate transpose will be Hence the
by an asterisk:
designated
A*
=
AT
=
/ if
is it is
real
i*i
is
if A
it
A
Ax x*Ax
then
= \x = Xx*x
X
is
it
But since
matrix are
p
A
is
is
is
x*Ax when Hermitian. real, and so Latent vectors associated with distinct latent roots of a Hermitian orthogonal. Ixst Ax = Xj Ay = ny ^ Then y*Ax - Xy*x x*Ay = iix*y But
is
UU*
Evidently in case reciprocal to its own conjugate transpose. unitary, orthogonal. Hermitian and Hermitian matrix has only real latent roots, for is,
that and
=
U
U*U
real, on taking the conjugate of the second equation one has
y*Ax
= ny*x 0.
One
1
0
if
This can hold only y*x = x*y = and, indeed, also y*Ax = x'Ay = Suppose a latent root Xi and an associated latent vector u\ have been found. can normalize Uj so that U\*U\ = a
unit vector orthogonal to Ui, u'z a unit vector orthogonal to both Hi and ii'„ a unit vector orthogonal to all preceding vectors. Then
Ui
= (wi,M'a, .
^'-(o1
,«'«)
a)
unitary and the matrix
. .
.
,
.
.
u'j be
is
Let u'j,
similar to A. Hence when one latent root and vector of a Hermitian matrix are known, one can obtain a Hermitian matrix of order n — whose latent roots are the Moreover, since the process can be repeated with A\, this remaining roots of A. shows that any Hermitian matrix call be diagonalized (cf. Art. 3.3). 1
is
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Evidently a real matrix is Hermitian if and only if it is symmetric. In dealing with Hermitian matrices it is convenient to say that complex vectors x and y are orthogonal if x*y = 0. A complex matrix U is said to be unitary in case
3-54
MATHEMATICS
[SEC. 3
Given u\, a matrix Ui can be formed as follows: Let Ui be written in the form
«-(:) —
where u is a scalar and w a vector of dimension n
v
=
So,
\t»
-w* \ / — llWW*/
_
(1
1.
Then
_ -)/(1 _ -^
satisfies requirements. If AiVs = Xsf2, then
Hence if and
X»
i is a latent root and i)j its latent vector vector for At, then
X8
is a latent root of A
is an associated latent vector. Nothing has yet been said about finding a particular root Xi and the corresponding vector ui. Let v be any vector, and define the sequence v,
v0 = v
=
A'v
is known that A can be put into the form A =
where U is unitary and A is diagonal. v, =
U\U*
Hence
UA'U*v
Hence each element of v, is a linear combination of »th powers of the X,-. Hence as v increases (cf. Bernoulli's method, Art. 4.4), the ratio of corresponding elements in consecutive iterates approaches the largest latent root Xi and the vector v, approaches the latent vector u\ associated with \\. For the root, let
-
Then having formed v,
one can form
For
a,
= w
= VoTv,
sufficiently large the matrix
(a,
w,
—
0, P,
A
wo
Likewise let
'too
= WoTw,
\
a
v,
is,
which, in general, gives a better estimate of the root. Convergence can be accelerated by using the i* process on the vectors t>„. A quite different device can also be used effectively at times. Convergence is rapid when the Since A — id has the same latent vectors largest root is much larger than the others. as A and the roots Xi — /x, it is sometimes possible to adjust m so as to increase this ratio. If the largest root is a multiple root, it will have associated a characteristic subspace of dimensionality equal to the multiplicity of the root. On proceeding with the matrix At, one will obtain Xi again and a latent vector of At that will correspond to another latent vector of A, that one lying in this characteristic subspace. If the two largest roots are nearly equal but not quite, convergence will be slow. If so, let to be vector distinct from and form the similar sequence
v
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It
Av,-\
•*
algebra and geometry
Sec. 3-1]
3-55
will be singular if the roots are strictly equal, and if not, the roots will satisfy the equation 1
Also if
ii and
0,
<*„
X
o«i
0»+i
X
Q£r+J
&y+2
= 0
xs are the associated latent vectors, then approximately
v, = SiXi'Xi W, = »7lXirXi
+ £i\t>xt + V2*l'Xl
from which equations Xi and xs can be found. Analogous conclusions can be drawn when three or more roots are nearly equal. For nonsymmetric matrices the case is somewhat more complicated because of the possibility of complex roots and because associated with any latent root X will be two latent vectors x and y (more, of course, for multiple roots), which satisfy
Ax
A*y
= Xx
=
\y
It will be assumed that the matrix can be diagonalized. Then it can be shown that if Xi and X» are distinct latent roots, Xi being the latent vector of A corresponding to Xi, y: that of A* corresponding to X2, then xt and yt are orthogonal:
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In fact,
yt'x, one has
=
xi*yi
= 0
Ax, = X,xi yt*A yi*Ax, — X,!/2*xi =
whence
= X2!/2*
X^'i,
and the conclusion follows. If A has a latent root \, that is larger in magnitude than all others, then the sequence
u,
uo = u
=
and the sequence v, =
»o "■ v
Au,-i A*v,-i
will approach the corresponding proper vectors, and the ratio of corresponding Indeed, if both sequences u, and v, are elements of consecutive iterates will be Xi. being formed, and if a,
then the sequence
= Vo*u,
= vr*Uo
dy+i/a,
also approaches Xi. Suppose Xi and Xj are equal in modulus and exceed in modulus all other roots. for sufficiently large v one has approximately
u,
=
Then
tiXi'xi + hM'xi
v, = viXi'y, + ijjXj'i/s
Let a, be vectors.
as defined above, and let |8, be formed by means of iterates of two other
Then Xi and
X*
will satisfy 1
a.
(3,
X
Cty+l
X2
a,+i
0*+i 0r+i
= 0
and Xi, xt, y\, yi can be found from the above equations, together with the correspond ing ones using the other iterates. 6
PROBABILITY AND STATISTICS
The development to be given here of probability and statistics will be primarily algebraic in character, with indications, however, of how the theory is extended by the use of derivatives and integrals.
3-56
MATHEMATICS 6.1
[Sec. 3
Basic Principles
The abstract theory of probability is concerned with a space or set 5 (sample space or phase spare) of points Eh Eit . . . which may or may not be discrete. In case they are discrete, then with each point Ei is associated a positive real number p(E,) such that
Zp(£\)
= 1
(159)
the sum is taken over all points Ei in S. Then associated with A is the real number
Let A be a subset or region of 5.
where
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p(A)
=
S
p(Ei)
(160)
where the sum is taken over all points Ei in A. The points Ei will represent elemen tary events, the regions A compound events, and the numbers p(Ei) and p(A) their Each Ei is (or represents) a possible outcome of an experiment; the probabilities. event A will be said to occur in case there occur any of the Ei that belong to A. The actual assignment of the probabilities p(Ei) is a physical problem, not mathematical. Thus, in tossing a single coin, one commonly assumes that the outcome will be one of but two possible events, heads, which we denote Ei, and tails, which we denote Et Then S (the possibility that the coin may stand on edge is generally neglected). consists of only two points, Ei and £2. Usually one supposes that p(Ei) = p(Et) and hence that each is H> but this assumption is by no means necessary, and, indeed, experience or observation may suggest the need for a different hypothesis. Suppose the coin is tossed twice. Let E\ and represent the two possible events on the second toss. Considered as a single experiment, there are four possible out Let these be comes.
E\
E"i
—
(Ei,E'i)
E" i
=
(Ei,E\)
E"i
=
(Ei,E'i)
E'\
**
(Ei,E't)
E"i is the event that heads occurs on the first toss and tails on the Then A consists of E"\, E"t, and be the event "at least one head."
Thus, for example, second.
Let A
have equal probability, but again mathe E"i. One commonly supposes that the One could assume that matical probability as such imposes no such requirement. two unlike throws are more probable than two like throws and hence that E"s and E"3 both have higher probability than either E"i or E'\. Such an assumption might require some revision of physical laws but would not affect the laws of probability. If A and B are two subsets Some new symbolism will be convenient in this section. of S, then AB is that subset whose points belong to both A and B, —A is the subset of all points of S not belonging to A, B — A is the subset of all points of B not belong B is the subset of all points belonging to either A or B or both. The ing to A, A assertion A = 0 signifies that there are no points in A [and hence that p(A) = 0); A signifies AB = 0 signifies that A and B have no points in common; A C B or B B — S signifies that, that all points of A belong also to B (hence p(A) < p(B)}; every point of S belongs to A or to B or to both; EitA signifies that the point Ei belongs to A. If AB =0, then
\J
A\J
U«)= p(A) + p(B) U«)= p(A) + p(B) - p(AB)
3
p(A
and in all cases
p(A
(161)
The conditional probability of A given B is
p(A|B)
- p(AB)/p(B)
(162)
provided p(B) ^ 0. In case p(A|B) = p(A), then A and B are said to be (statisti Thus, in the above example of two tosses of a coin, let A be JE" , cally) independent. and E"z (heads on the second throw), and for B take E" \ and E"t (heads on the first
algebra and geometry
If p(E"i) = for every *, then throw). B are statistically independent. But p(E"t)
=
=
say,
- X - p(B)
p(£",)
H
p{E'\)
p(A)
if,
\i
and
=
-
p(E",)
=
3-57 p(A\B).
Then A
%
Sec. 3-1]
H
= p(B), but p(AB) = p(£"i) = Hence whence p{A\B) = p(A) = and would not be independent, and whereas the a priori probability of heads on the second throw remains J^, the probability that heads would follow heads (granting this new assumption) only J>£. is
A
B
then
Equation (162) can be rewritten
p(A\B)p(B) in
the case
of
B
If
can be continued. one has
f(iU
C) = p(A) + p(B) + p(C)
one replaces
by
(164)
B"
B\J
—
C
If
p(A\BC)p{B\C)p{C)
- p(BC) - p(AC) - p(BC)
in Eq. (161)
+
=
and expands,
and the process
p(ABC) (165)
is
it
The extension Eq. (165)
to more complex cases can be made in like manner. necessary to note that
A(B These
\J C)
=
ABKJ AC
In
order to obtain
ABC
=
(AB)(AC)
relations are readily verified. ,
is
a
A
A
is
that of sampling from type of experiment often considered in probability theory population. population of n consists of n objects aj, o2, . . . a„ that are at least Let the event Ei represent the drawing of a,-. To say that conceptually distinct. the objects have equal chances of being drawn to say that all p{Ei) are equal and
hence
that
p{Ei) = n-' 1
A
i
r
may > sample of (other assumptions are possible and often true). If with replacement, then one may drawn either with or without replacement. (but need not) assume that before the second drawing conditions are restored to their former state. If so, one may let En represent the event of drawing oj on the first = trial, a,- on the second, with not excluded, and all have equal probability,
for every
if
j
i
be
then
p(Eit)
= n~*
-
+
1)
• • •
r
- n(n -
(»
*r
1)
a
is
of n
r
More generally, any particular sample of drawn with replacements from a population If the draw has probability n~r, granted the above assumptions of uniformity. ing without replacement, no o, can be drawn twice and a total of ■»
'P,
r!
is
distinct drawings are possible, account being taken of the order of the drawing (in stud The probability of a particular poker, for example, the order influences the betting). 1/n,. But the same final sample (e.g., the same hand in bridge, where drawing = 13, re = different ways. Hence there 52) could have been drawn in any one of
r
are
=
\n
- rj
n
\
n! Vz (A W _ - r!(n-r)!
(
M
r\
„c
'
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= p{AB)
by B' = BC in Eq. (163), the formula can be extended to
p(ABC)
BKJ
(163)
independence,
p(A)p(B) one replaces
p(AB)
B
which becomes,
=
3-58
MATHEMATICS
[Sec. 3
distinct possible samples of r, no account being taken of order. are n, permutations of n things r at a time and I
1
One says that there
combinations of n things r at a time,
the permutations distinguishing order, the combinations not. If all combinations have the same probability of being drawn, then the probability of any particular one
"'/(?)■ Drawing
a sample of r from a population of n is equivalent to separating the n objects into two classes, one of r objects (those drawn), the other of n — r objects More generally, n objects can be divided into fc classes with rt (those not drawn). in the first, r2 in the second, . . . , r» in the fcth in
n!rj!
• • •
rt!
distinct ways, it being understood that
U +
r%
+
■■■
+
rk = n
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If there are n Important in nuclear theory is the placement of objects in cells. objects and r cells, and if no cell can accommodate more than one object, then, if r r > n, there are ( I distinct ways of accommodating the n objects. If all arrange ments have equal probabilities,
the probability
of any particular
one is 1
/ ( r\>
it
If any cell can accommodate being assumed that the objects are indistinguishable. any number of objects, each object has r choices, independently of where the others have gone, whence there are r" arrangements and any one has a probability r~", although not all these are distinguishable if the objects themselves are not distinguish able (if two objects exchanged places one would not know it). The number of dis n
tinguishable arrangements is ( Bosc-Einstein
The
)>
and if these are equally probable (as in
statistics), the probability of any one is
1
/I
)•
example of independent events. Note that if independence is assumed (as it normally is) in tossing coins and dice, tossing a coin any number of times is equivalent to drawing from a population of 2 with replacement and tossing a die is equivalent to drawing from a population of 6 with replacement. In drawing without replacement, however, the outcomes of successive drawings are not independent. To return to the general formulas, Eq. (160) can be generalized also as follows: case of drawing with replacements provides a typical
When the points in the sample space are not discrete, then one assumes a probability The integral function whose integral over the entire sample space 5 is unity. over any subspace A is the probability p(A). The case can be reduced approximately to the discrete case as follows: Divide S into regions A such that each p(A) is small; from each such region select a point E and associate with E the probability p{A). density
Moments
6.2
Let a number x; be associated with each point Ei of a sample space S. This asso ciation defines a function X over the sample space in the sense that the function X will be said to take on the value xt when event Ei occurs. Such a function X is known as a random variable. For a given number x, let A represent the set of all points Ei = x. for which If is not included among the x,, the set A is vacuous, but in any
i
ii
event
p(X
= x) =
V
p(E<)
(168)
A is the
probability
that
X
will take on the value x.
p(X
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otherwise the sum is taken over all Let p represent the vector whose
D,
If A
is vacuous, then
= x) = 0;
Ei in A. ith element
is
p(Ei), and let
= diag (zi,xs, . . . ,x„)
represent the diagonal matrix of the values x, assumed by the vector each of whose elements = 1, the rth moment of Mr =
X.
X
Then if
e
is (as usual)
is
eTDx'p
(169)
This is also called the expectation of X' and is sometimes denoted E(Xr). The first moment m = m is called the mean, and the zeroth moment mo = eTp = 1, since this is the sum of the p{Ei). For any X the rth moment about X is
a'r = er(D. = Mr Of
- \I)'p
- r\Mr-,
+
particular interest are the moments almul •v =
«r(D.
XS"-» +
■• •
(170)
the mean
- m/)'P
(171)
Evidently r, = 0. The second moment about the mean,
-
which expresses the variance in terms of the moments m and miSince the same formula can be written with n't and m'i replacing mi and mi, it follows that the second moment is least when taken about the mean. If Y is another random variable defined over the same space S, one can define its Let m<, m», »», o-„ represent the means and standard moments in the same fashion. deviations of the two random variables. Then the mean of the sum X + Y is the sum of the means: m*+, = eT(Dx + Dy)p m* + m, (173)
-
The variance of the sum is somewhat more complicated. of A' and Y by
First
define the covariance
3-60
MATHEMATICS
- n,I)(D, - ji„7)p - n,eTD„p - itveTDIp
= eT(Dx = eTDxDyp C» = eTDxD,p cxy
and the correlation
-
(Dx
+D,
+ ji*M»erP (174)
m«m»
r,„ by =
ffi»»r»,
Then since
[Sec. 3
- »A - m,/)"
- ,x,/)2
(D,
=
it follows that the variance of
X
c„
(175)
- mz/)(D» - nj)
+ 2(DX
+ (D,
- „,/)»
+ Y is given by = ax% + at* — 1a±ayrxy
When
rXy
Y
= 0, the variables Ar and
(176)
are said to be nncorrelated
or statistically inde
pendent, and then one has simply = a,* + a,*
ax+y'
rXy = 1, the variables are proportional, and in all cases 1 > rxy > —I. All the above definitions apply whether the probabilities p(Ei) are known a priori or empirically. By the latter is meant that in N trials one observes that the event Ei occurs ni times and then takes p(Ei) = ni/N. When the sample space S consists of infinitely many points Ei, whether discrete or not, the definitions have a natural
-
p{Y
t/)
extension but require the use of the notion of limits. Among the values assumed by the random variable Y, let y be a particular one, and let B represent the set of all Ei with which this value y is associated. Let e« represent the vector whose ?'th element is 1 if EaB but is otherwise 0. Then
- eBTp
p(B)
=
was said that
Y
and
is
if
is
1
are independent in case =
otherwise 0.
Then
p(AB)
=
p(AB)
= eABTp =
but
y)
5.1
= x,
EitAB
B
In Art.
it
p(X
represent the
p(A)
= eATp =
represent the vector whose i'th element
A
eAB
x)
p(X » Let
ex
is
if
1
is
A
Likewise let represent the set of all Ej for which X = x, and let EjiA but otherwise 0. Then vector whose j'th element
p(A)p(B) is
if
it
Y
e
Y
;/
B
.
A
A
At, . . are the sets If associated with all the distinct valuesxof X; Bi, Bt, . . . of Y; and the sets associated with all the distinct values every Aa and Bb arc independent. The proof can be made independent, then the variables X and by expressing as the sum of all the vectors e^s in the expression eTDxDyp, which can then be shown to reduce to n*iiy, whence follows that A' and are independent. i,
5.3
Distributions
q
p, pi
«■ p,
and
-
p* =
p(l
-
p)
— m
p
Hence
S)
-
■>■
(J
1
p
1
Consider an experiment with but two possible outcomes, "success" or "failure." — p, respectively. = these have probability and If E\ denotes success and = = Then let and 0. failure, Ex x\ xt
Let
p
= pq
Now let the experiment be repeated n times. Altogether there are 2" possible distinct outcomes for such an experiment. Let Xi have the value in case of success 1
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When
ALGEBRA AND GEOMETRY
Sec. 3-1] on the ith p(Xi = 1)
3-61
trial, 0 otherwise, irrespective of outcomes on the remaining trials. = p, and
X
=
ZX,
variable whose value is equal to the total number of successes. number of successes is = S/iXi — np
is a random
^
since each
= p.
Likewise, since any two
a set of
k,
(lb)
°f selecting
p(X
are obviously independent,
1
k)
=
.
and the rest 0 is pV~* but there are
whence the probability of exactly
successes, without
is
specifying when they should occur,
Then the
= npq
that any k of the Xf =
Now the probability ways
Sffij'
Xj
and
X>
k
mean
Then
= b(k;n,p)
pV-*
=
(177)
known as the binomial distribution, and has the mean np and the variance an a function of the argument and the parameters n and p. This example of a distribution function whose argument ranges over a finite number of discrete values, all integers from The parameter n can be any posi to n inclusive. tive integer, and to can be any number on the interval from Of considerable importance in the theory of radioactive decay the Poisson distribution p(k;m) = m*exp (-m)/JfeI (178) is
is
is
k
if
A;
is
Here the argument and can have any nonnegative integral value, while the parameter to can have any positive value. This represents the probability that counts will occur in a given interval of time the expected number of counts exactly (the mean) in that interval Both the mean and the variance of this distribution to. have the value to. An example of a continuous distribution given by the normal (or Gaussian)
and the
=
V(i)
normal distribution function *<*)
(2,r)-»exp (-x»/2)
-
f'm
function
density
(179)
#>(») dy
(180)
h)
a
is
h,
is
h.
is
is
is
A
of
a
a
if
of
variable
(x
h
is
a
it
is
h
i
the
+
a
zero mean and unit variance. If variable normally distributed, then will assume a value on to probability that particular interval from x — — — more precisely equal to *(x + approximately 2hip(x) and h). The approximation valid only for small but the expression by means of * rigorously correct for all common application of the normal distribution the following: Suppose that a series of repeated measurements made for the purpose of ascertaining the magnitude given quantity (length, duration, weight, or what have you). Assuming the measurements to be independent of one another and free from bias, they can be expected to scatter in some fashion about the true magnitude. Let to be the mean these measurements, and let y, be the deviation of these measurements from the mean. Hence the t/,- constitute an empirical distribution with a mean of 0. Let can be supposed to have been drawn at random from normal population. Now each y, can be regarded as a value assumed by a random variable F,-, and the are independent. If an are any fixed scalars, one can verify that for the random This has
y'i
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is
1.
p
0
0
k
This
npq.
is
it
is
This
3-62
MATHEMATICS
[Sec. 3
one has, generalizing Eqs. (173) and (176),
In particular, if there mean.
Since
are
N variables Yi and one takes each the same for all, one has that
of
<*,•=
1/N, then
=
z
is the
(181) is
is,
the variance of the mean of .V independent measurements N'1 times the It also true that even though the yi may not themselves be normally distributed, in the limit for large jV the means are normally distributed. One can now ask by how much the mean m of the N measurements could be expected to deviate from the true value of the magnitude, and the question can be answered in the following sense: Suppose the true magnitude were given by some number m'. Then an error of m' — m has been made. If one made many sets of experiments, each set consisting of taking -V measurements and finding the mean, these means define random variable M whose mean m' and whose variance a*/N. Hence he random variable =
of Eq. (180). therefore 2*(x), where
is
m|
t
y/N/a
x = — |m' —
as much as
\/iV/
NOTES AND REFERENCES selected bibliography relating to the material of this section No given below. attempt has been made to select from the countless elementary texts on algebra, trigonometry, and analytic geometry. written as a text, Although Ref. contains to be found in American texts on the subject. considerably more material than Reference may be considered to be the definitive treatise on manipulative algebra, as are Refs. and, in some sense, 16 in their respective areas. Much of the older theory of determinants rephrased in more recent books as theory of matrices. Reference 15 indispensable for those interested in the manipula tive theory of determinants. While Ref. brief and elementary, nevertheless includes a considerable amount of material. Reference 20 the classical treatise on computational methods. Among the more recent publications Refs. and 13 give detailed computational layouts while Ref. 10 stresses the theoretical background. Among the many books on probability and statistics, most stress particular fields of No attempt has been made to select from these. application. Of the more general developments Ref. noteworthy for its success in combining rigor with lucidity.
it
is
it
is
&
2.
Aitken, A. C: "Determinants and Matrices," Oliver Boyd, Ltd., Edinburgh and London, 1946. Burnside, W. 8., and A. W. Panton: "The Theory of Equations with an Introduction Co., Ltd., London, to the Theory of Binary Algebraic Forms," Longmans, Green
*
1.
is
6
8
is
1
is
is
9,
2,
3
is
7
is
A
1886.
Chrystal, G.: "Algebra," A. & C. Black, Ltd., London, 1893. 4. Courant, Richard, and David Hilbert: "Methods of Mathematical Physics," vol. Interscience Publishers, Inc., New York, 1953. 5. Cramer, H.: "Mathematical Methods of Statistics," Princeton University Press, Princeton, N.J., 1945. 6. Feller, William: "An Introduction to Probability Theory and Its Applications," John Wiley
1,
3.
&
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—
- mO
The probability of being in error by
has the distribution \m'
(M
is
is
is
a
X
m|
that
mean of each.
Sec. 3-1]
ALGEBRA AND GEOMETRY
3-63
9. Hobson. E. W.: "A Treatise on Plane Trigonometry," Cambridge University Press, London. 1897. 10. Householder, A. S.: "Principles of Numerical Analysis," McGraw-Hill Book Com pany, Inc., New York, 1953. 11. Kendall, M. G.: "The Advanced Theory of Statistics," Charles Griffin & Co., Ltd., London, 1947-1948. 12. MacDuffee, Cyrus Colton: "Vectors and Matrices," Mathematical Association of America, 1943. Calculus," Princeton University Press, 13. Milne, William Edmund: "Numerical Princeton, N.J., 1949. " 14. Morse, Philip M., and Herman Feshbach : Methods of Theoretical Physics," McGrawHill Book Company, Inc., New York, 1953. 15. Muir, Thomas: "The Theory of Determinants," Macmillan & Co., Ltd., London, vol. 1, 1906; vol. 2, 1911; vol. 3, 1920; vol. 4, 1923. Green & Co., Inc., New 16. Salmon, George: "A Treatise on Conic Sections," Longmans,
York.
1929.
Schwerdtfeger, Hans: "Introduction to Linear Algebra and the Theory of Matrices," P. Noordhoff N.V., Groningen, Netherlands, 1950. Matrices, and Invariants," Blackie 18. Turnbull, H. W.: "The Theory of Determinants, Son, Ltd., Glasgow, 1929. 19. Turnbull,' H. W., and A. C. Aitken: "An Introduction to the Theory of Canonical Matrices,' Blackie & Son, Ltd., Glasgow, 1932. 20. Whittaker, E. T., and G. Robinson: "The Calculus of Observations," Blackie & Son, 17.
*
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Ltd.,
Glasgow,
1940.
3-2
ANALYSIS BY
Ward Conrad Sangren 1
DIFFERENTIAL 1.1
AND INTEGRAL CALCULUS Differentiation
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The derivative of a function is the limit, if it exists, of the ratio of the increment of the function to the corresponding increment of the independent variable when the increment of the independent variable approaches zero. The increment of a variable There are many notations for is the difference between two values of the variable. the derivative of a function y = /(x) with respect to x. Among these notations are
Pdx The definition of
a derivative
f
(*,)
y'
Dy
f
D,y
f'(x)
ax
can therefore be expressed,
-
lim
/(*'>-/(*■) Xt — X\
ari-.xi
.
assuming the limit exists, by
&
lim Ai-»o Ax
ii
Note that the derivative is defined only at a point and that the notation /'(x) implies that the derivative is defined at each point xi of the set of values of x under The process of finding a derivative is called differentiation. consideration. The derivative has both geometric and physical interpretations. The common geometric interpretation is that the derivative /'(x) represents the slope of the curve Physically the derivative is often inter y = /(x) at the point (x,y) on the curve. The velocity at any instant of time is the derivative of the preted as the velocity. distance with respect to the time. Since the derivative of a function y = /(x) with respect to x is also a function of x, it may also be differentiable. The function df/dx or /'(x) is called the first derivative of /(x) and its derivative, denoted by (d/dx) (df/dx) m d'f/dx1 or /"(x), is called the second derivative of /(x) with respect to x. In similar fashion further differentiation A few of the notations for the nth derivative of y leads to higher derivatives. f(x) are
"
pL ax"
„
*L
,<*,(*)
ax"
The concept of a partial derivative of a function of several variables corresponds to the fundamental concept of the derivative of a function of one variable. Let v = f(x,y), and take y to be the fixed value yr, then since v is a function of x only, its derivative with respect to x may be defined like that for an ordinary derivative. This derivative is called the partial derivative of v with respect to x and is denoted by such symbols as dv
£
df Tx
"■
8-64
.
U
p
analysis
3-65 is,
The defining equation for this partial derivative
/(*,
lim
„_//.,„ _ \
lim Air-.o
~
Af)
defined by
/fallgl)
Ay
v
c
= »(x)
(u + + w)' (uv)' = w'w + uv'
- nu*-1
V'
w'
(cuY
/fall
- «' +
v
1.
with respect to
Rules
General Differentiation
1.
u = u(x) 2. (u»)'
-/fa.,y.)
and Powers:
Sums, Products, Quotients, = cu'
■)
Ar
In similar fashion the partial derivative of
Table
+ **,
y
m
+
yi)
v
Mxi
therefore,
is
Sec. 3-2]
+
= constant
«>'
u»
I
dx
dy
"
ax
dA/<>y
/dw\s Vdx/ \dx/
. .
=
= a,
*
*
0
/(x,y,z,
dv d*u
du dx'
/„
*
dy
d*»
du1
0
-3h
=
-
dx1
.)
h(x,y)
_
d!v
'
0
Implicit Functions:
(ir
_
dg
du dx
—
_
/.
_
u = ^(x)
and
f(u)
/»
du dx
df
dx
-
0
g
-J-
= — a, dx
13 '
dx
T" dx
•/«<*)
, .
16-
of
/"*/(') a
J
15.
4~
Differentiation
0
0(0
a,1
dx1
= *(n,n)
de dx
=
~ a"^'
—- =
= *>(x,y)
du dx
o«)
dy
whore u = u(x,y) and du dy
t>
—
dx
-d'x/dy* (dx/dy)'
a Parameter: x =
12 '
=
dx1
= i»(z,y)
dv dy
an Integral:
««
=/(x) d'
"
0'fa)fffa>f»)
- «'fa)fffa.«)
+
Functions
^
n'
dx/dy
*
^
=
dx
y
^
of
10
^
x = x(y)
0
Inverse Functions:
/
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A geometric interpretation of these partial derivatives is much like that for an The partial derivatives f* and /„, where v = f(x,y), can be ordinary derivative. interpreted as the slopes of the curves of intersection of the surface v = f(x,y) with the planes y = constant and x = constant, respectively. Since the first partial derivatives fx and/„ of v = f(x,y) are also functions of x and y, it may be possible to obtain the partial derivatives of /, and /, and thus obtain second derivatives. Among the notations used for the second partial derivatives are the following: a dx a^
ay dx
W
fdv\
= ~
\dy/
( —\ \dy/
aH'
ax'
"=
a'f to'
dy' =
f s/" =
Hr
dy'
a*" dx dy
mf "
= g =
j"'
m
a%v
dy dx
„ A (—} dy \dx/
The cross derivatives fly and /„, need not be identical, but if they are both continuous, be shown that they are identical. Higher-order partial derivatives are defined by repeated differentiations with respect to any of the independent variables. For functions of three or more variables, partial differentiation is carried out by holding constant all the independent variables except one and then taking the ordinary derivative of the resulting function of one variable. The differential of the dependent variable y = /(x), denoted by dy, is defined by
it can
- f'(x) Ax
It
is convenient to define the differential dx of the independent variable x as equal to its increment Ax. The total differential of a function v = f(x,y) is denoted by dv, and is defined by , dv
=
av A — Ax dx
. -\
av dy
Ay
Again it is convenient to define the differential of the independent variables x and y by
dx = Ax
dy = Ax
and
The definitions for differentials extend straightforwardly variables. 1.2
to functions of three or more
Integration
The concept of integration, or the integral concept, involves, as does differentiation, In most engineering problems the only type of the application of a limit process. In some applications in physics and integral encountered is the Riemann integral. mathematics it is desirable to consider other integrals such as Stieltjes integrals and The term integral, by itself, will refer here to a Riemann integral. Lebesgue integrals. Consider first a real-valued, bounded function /(x) defined 1.21 Definite Integral. Next divide the interval a < x < b into an integer on the interval a < x < b. number n of subintervals where the points of division x< are such that
Now form the sum
/(x,*)(x,
- xo)
< Xl ■ • • <
Xi-l
+/(x,*)(x,
- x,)
< Xi ■ ■ ■ < xn-i
+
• ■•
where Xi* is any value of x in the ith subinterval; that more conveniently expressed by
y
n
1=1
/(x.*)(x,-
- *_,)
<
+/(x„*)(x„ is,
O = Xo < Xi
is
Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
dy
x,_i <
x,
= 6
- x„_,) x,-*
< Xi.
This
sum
analysis
Sec. 3-2]
3-G7
Finally let n increase without limit, and let the length of each subinterval Xi — x,_i tend to zero; then the value of the sum may approach some limiting value. When this limit exists, it is called the definite integral of f(x) from o to b and is denoted by 6
This definition
/(*)
dx
by
is expressed
- Xi-i)
n
fbf(x)
y
dx = lim
•
f(xi*)(xi
-1
Although the limit is indicated with only n tending to infinity, the important aspect of the limit process is that every subinterval Xi — tend to zero and therefore n tends to infinity. The most common geometric interpretation of a definite integral is that of an area.
If
y
where
—
/(i)
/(i) dx is the area under the curve y J is bounded by x = a and x =
> 0, then the
—
f(x)
v
Some of the important properties of definite integrals are given in Table understood in this table that the functions are bounded and integrable. and Improper
J
then the integral
fit)
Integrals.
dt, where x
Let f(x) be bounded and integrable;
any intermediate value in the interval (a,6),
is
Indefinite
is
1.22
It
is
di
2.
6
is
/>
if
is
a
is,
is
often written without the called the indefinite integral. The indefinite integral limits of integration, that This notation arises from converse theorem //(<) dt. a con to the fundamental theorem of integral calculus, which states that fix)
tinuous function in the interval, then the indefinite integral
An integral
called
fx,-n
~z
in the interval
/(<) dt
(a,6),
fb
exist.
then the
has
/(<) dt
a
/(<) dt exists and
necessary
is
J/
is
it
If f(x)
lim
that both limits
an infinite
said to exist
discontinuity,
if
J
lim
z-> »
is
x0
and
f(t) dt exist,
b
at a point
dt
In order that
said to exist
f
/(<)
/(<) dt
I
J/
/
J*
a
if
if
is
The improper integral
J/
.
in an interval,
it
(x) has fix) as its derivative for all values of
f(x).
defined as that limit. lim
J
F(x)
the interval of integration becomes infinite called improper either the integrand become infinite at one or more points of the interval of integra
tion.
x— ■
is
c
dx =
is
J/(x)
c
or
is
if
or
/(<) dt has the
+
- F(x)
x
dx
F
a function
a primitive for
Since F(x) where any constant, also has possible to write without confusion c,
fix).
as its derivative,
J/(z)
If
=
is
d
=
it
derivative
/(i)
both limits
«—
is
/(<) dt and lim
it
/
J"
/
assigned the value of the sum /(<) dt exist and «-*0 /«•+« Improper or infinite integrals are, therefore, limiting cases of of the two limits. proper or finite integrals.
lira
o
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s
a
is,
and above the x axis which b. A customary physical interpretation of the definite integral relates distance and = f(t), then the velocity. If the velocity is given as a function of time, that covered from time to time given by distance
3-68
MATHEMATICS Table 2. of Limit*:
Interchange 1.
=
Jbf(x)dx
-
[SEC. 3
Formal Properties of Integrals
fl/Wdz
Addition of Intervals of Integration: 2.
dx =
Jbaf(z)
I ndependence
-
dx
fbf(x)
dx +
/*/«
dt =
fbaf(l)
dx
of Integration:
from Parameter
/*/(*)
3.
[CafW
of*
etc.
Linearity of Integration:
/
4.
fba
5.
IMx) + f,{x)\ by Parts:
Integration 6.
f
c/(x) dx = c
dx
Jbaf(x)g'(x)
-
-
dx
P/i(x)
dx +
-
[/(x)ff(x)]*
[/(x)
where
c is a constant
f(x) dx
/*/«(x)
dx
y*/'(x)8(x)dx
- f(a)g(a)
- f(b)g(b)
=
JbafWdx where »(()
Absolute-value
|
8.
JdAaU)]g'(t)dt
= x, »(d)
—
6,
7.
-
and g(c)
a
Inequality:
JbaXz) dx|< jha\f{x)\dx
x
ff, **
/a
if
/o
'
* /"ft
x <
dF/dx
1, y/
6
For g(z) =
°
/(x) dx
~
,7(6) -
A*)
and monotonic non decreasing,
dx
where/
is
for all x in (a,6), then
fXf(t)
dt
-
F(x) - F(a)
integrable,
and where a <
there exists a function
<
6
dx
9
bounded
Ax)
is
g(a) •
Fundamen/ai TAeorem o/ Integral Calculus; bounded and integrable in the interval (a,b) and /(x)
- /(x)
< b.
M(b — a), where m and Af are lower and upper bounds
/J
-
dx
if
where g(x)
dx is
jbaf{x)g{x)
f(z)
and o <
Value:
/"'
Second Theorem of Mean
a
in a < x <
6
<
for fix) in a
JI
f(8)(b — a) and m(6 — a) <
(x)
<
continuous and
6
o(x) dx > 0
- /(0)
+
fix)
dx
g
/"*/(*)*(*)
/*
Theorem of Mean Value:
where
12.
tora
fix)
„, J fb /,(l) d*
■
11.
-
, . "|i ^ dx
is
Firtt
/„(z>*
]
[
10.
o(x) dx
Inequality: fb
, ,
Schwarz's
f(x) dx <
/a
9.
jha
f*
Dominating-function Inequality:
If
Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Change of Variable:
Fix) such that
Sec. 3-2]
Differentiation
1.3
Table 3.
Ax)
No.
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Differentiation
dz
CU
CU
3 4
u + v + to uv
u' + »' + w' ttn' + inj' — Uv'
c
dx
V1
9
w
6 7
W
ra>-iu< 4. u.„' ln u
8
fM
d/(u) -LL-i u',
9
e*
e'u'
10
In u
l-W
11 12 13 14 15 16
sin u cos u tan u cot u sec u CSC u
cos u • u' — sin u ■«' sec> u • u' — esc* u ■u' sec u tan u • u' — esc u cot u • »'
1. 2. o 3.
j J J[ /
7
du
u
Table
/(x)dx
-
"
ex
c dx
- e jZ
f
-
n ¥■
n + 1
-(1
21
sec"1 u
u-i(uj
22 23 24 26 26 27 28
C8C~>W sinh u oosh u tanh u ooth u secli u esch u
-u-'(u'
29
sinh-1
30 31 32
cosh-1 u tanh-1 u coth-1 u
33
sech-1 u
34 36 36 37 38
csch-1 u ln sin u ln cos u ln sinh u ln cosh u
b"
8.
9.
y
dx
a-'t"
dx
(o ln 6)"1k"
-1
ln x dx ■ x In x — x
Forms Containing a + 6x: 10.
J/
^
—
dx
- - In
2—
dx
-
a + bx
11.
J/
a + bx
12.
J/
(o + 6x)>
b
dx
i
b1
-
(a + 6x)
[a + bx
- a ln
u
A Short Table of Integrals
dx = In
7.
tan-1 u cot"1 u
(a + 6x)]
-! I ln (o 4T bx) H o + 6« L
—1 6xJ
/'(x)
u«)-Wu'
(1
cos"' u
J- i Jim\-jwmdz.luM J f -j 5.
-
sin"« u
du . v — dx dx
-
-£/(x) dx
17
u«) df
/
dx
4.
« = 2.7182818285,
18 19 20
fX/(t)dt
dv . u — dx — uv — I dx
i«
Ax)
du
2
u
Formulas
No.
0
c
5
and Integration Tables
u, v, and w are functions of x. toga = In, M = logic e = 0.4342944819)
(e and n are constants,
1
3-69
ANALYSIS
-
u»)-*V
(1 + u«)""u' -(1 + u»)-V
_
i)-Mu-
-
1)-W«'
cosh u ■u' sinh u • u' sech* u • u' - csch1 u • u' — sech u tanh u • ti' — csch u coth u ■u' (1 + «»)-Mu'
-
l)"^u' - u')-'u' -(u> l)-'u' -u-'(l - u»)-*V
(«« (1
-u->(l + u«)-Wu'
cot u • u'
tanh u ■u' ooth u • u'
3-70
MATHEMATICS Table 4. *'
13.
J/
a 4- bx
14.
//
— dx (a + bx)'
/_L / _-L_
15.
i \l
dx =
b'
17. 18.
./
/ // 7
- i In
_J_
+ bx dx =
20.
JfxVa-+Yxdx
23.
*■
Va
'/ Va
+ 6x
-
-
„.
27.
/
'/
+ 6x + a
2
Va
+ bx
1
+ bx
i Va
1 . -— In
/Va
+ bx
-
VaA
VVa
+ bx +
Va/
1
Va
+ ox
- ~ tanh-"
dx
Va
+ bx
Va
\
x(a + 6x)=Wdx
=
1
.. /a + »* o
+ bx
b ~a
+ 6x
iI
i r
+ bx)'
Vo-T^
36'
. dx
Vo
tj)
2(2° ~
\/(a
'f x Va^= + .
i.w
1
J/■ xVa
Jf
12abx + 156'x>)
Va
.(j-
29.
-
2(8a'
V^^T^
156»
dx = 2
VST
■» i"
~ 3fa)
2(2°
+ bx
26.
-Lln»_±^
+ 6x)»
36
y^= / Va ./
6l
. a 4- 6x h — In a1 x
~ V(a =
j x'Va + bxdx f
^— 1 a + bz-1
2a In (a + bx)
4- bx:
y/
22.
J
2a(a + bx) + a' In (a + 6*) 1
a + 2bx , 26 . a + bx In H a» x a'x(a 4- bx)
dx =
Va
(Continued)
.6
1 ax
i»(a + bx)1-1
Va
a +
a (a 4- bx)
. dx =
19.
21.
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'
x'(a + 6x)
-
dx
-
-
\ a + bx
dx =■
Ha + bx)'
Containing
Forma
-b'L
-
bx)
IB.
A Short Table of Integrals. (a + bx)'
2
[Sec. 3
4 ± n
,is
xVa _ a(a
+ bx +
taWI
J
2±n
Forms Containing c* ± x1 and Xs — c*; 30.
1
7 C + xt
/-L_ / ./-L_ /
31. 32
Forma
dx =
- tan-1 -
r'
. 1 . c 4- x dx = — In x« x 2c c
x»
c»
-
dx
X' x' '< c»
c
-
1 x <• — In 2c X 4- c
iooth-'-
x- > c'
Containing a 4- 6x and c 4- ex:
33 .
//
(a 4- 6x)(c + ex)
34.
Jf
(a + bx)(c 4- ex)
35.
Jf
86.
Vc' + tanh'-
/f
I
»
-
dx = dx
_dx
! (a + 6x)>(c + ex) x
—— (a 4- 6x)'(c + ex)
=
. dx —
,„ —L_ (1+^) Va 4- ex/ ae — c6 ?
- In
f ae-c6L6
(a + 6x)
- - In e
J
(c + ex) 1
_L_('_L_+— ^—Inl^ + bx' + ae — c6 Va
6x
ae — c6
—a
6(ae
- c6)(a
4- bx)
c.c4a
In
(ae
c6)«
c 4- es
a + 6x
analysis
Sec. 3-2]
A Short Table of Integrals.
Table 4.
Va
Forma Containing
j
1
Vu
-
39. A — L_ dx
VU
J Vx'
44.
/f
Vx'
I
Vx'
'f
x
Vx'
— a'
1
+ a'
48.
If
V'J>
i
J
V(x'
'
Vx'
J 52.
54.
"'
~
-
=
dx
-
Vx«
dx
*
b"
± a')]
gec-'-
V*+*\
+
/
«
a'
Vx'
-
a In
+
(°
a cm " ? x
^)
_±z o' Vx» ± a>
- - Vx'
Vx«
± a' + — In (x +
± o>)
±
x'Vz'
Va'
Va'
=
x
-i—
56.
/
iz
/ V(o> -
■»
A*
=
x«)'dx
— x')>
+ In (x +
VxTTT')
— x':
(x
Vo»
- - iln ■
^)
(lWEII*) / V 1
VaTTT'
-i
dx =
— *• + a' sin"' or — cos-1 -
■dx = sin
/35T
± a»
- VfE!!'
— x' dx = 1
V(a»
Vx'
:dx = T ± a'
dx '( x Va> - x»
58.
tan"' • tan-' \/-r^
ax
or
—
VxT + ^
± a')>
55.
57.
-
eiM"'
(
dx =
JfVz'±a'dx z'
j
/2
V-ke
Vu
± a')
ax -
dx = 2 In • V
'
Form* Containing 53.
=
± o> ± o« In (x +
Vx«
In (x +
dx =
/ ^"'dx /
-
± o«
x
/•
- i [x Vx«
dx
Vx»
47.
so.
bVi)
i
V-ke
± a':
± a« dx
1
./
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/ Va Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
\
Vc
/•_L_dx--L.inh-(/
V
(Continued)
x> Va*
Forms Containing
fiS.
[Sec. 3
f
Vc
2"
V^c
!
-
—
VvV
/ VXdx
(2rx + 6)
VA
if c > 0
^ 6>/
- 4ac/1
2(2cx + 6)
dx
- 6J
2vV/ + »
\V4oc
ax = —-=L sin ! I
4oc
1
if c < 0
J
2kl y/x dx
VX .
y/■_^_rfx -x/a7
/ 2.
73
74.
75
76
-
. dx
dx
2c y
e
Va-
a*
^-A/-
=
2(fcx + 2a) (,
Vx
Va /xVvdx=^Y_^/'V*dx 3c 2c J a
7
'
x
v/a
^J_ JJ zy/X If
■/
1
xV.Y
.
. dx =
_
V-o 2
Va
Trigonometric
*
V
„„-,
(
2
2J VX — Vr 1
/ sin x dx = — cos x
70.
/
80.
/ tan xdx
81.
/
J
cos x rfx = sin x = — In cob x = In sec x
cot x dx — In sin x = — In cbc x
\
4ac/
xV.Y
ex T 6 . _, sin ■■ \Zbs + ac
Forms:
78.
-
if a = 0
**
, - ax = — ex* 2t ± 25x
Va/
»* + 2°
\x V6*
Va
*
•/
7
dx
Va" '
if a > 0 if „ < 0
a' sin"' 5 )
analysis
Sec. 3-2] Table 4.
J
sec x dx — In (sec x + tan x) = In tan
S3.
J
cbc x dx = — In (esc x + cot x) = In tan
^
f
86.
/ sec x tan z dj
esc1 x dx = — cot
y
88.
y aina x dx
89.
J
, .
91-
„„ 93.
J/
^ 2
= sec x
=
cos1 x dx ™ tan5
rdi
Mix
~ sin x cos x) = >gx — >i sin 2x
H(*
4" sin * cos x) — \£x 4-
^
, . . sin (m — «)x sin mx sin nz ax =
2(m ~ n) cos fm — n)x
f
95. 96.
j y
ain 2x
» tan x — x sin (m 4- n)x 2(m 4- n)
-
-
arcsin x dx — x arcsin x 4- a/ 1 — xs arccos x dx = x arccos x —
f arctan x dx
— x arctan
97.
y ainh
98.
y
cosh x dx — sinh x
99.
y
tanh x dx = In cosh x
100.
y
coth x dx = In Binh z
101.
y
sech x dx = arctan
102-
y
each x du — In tanh >£x
103.
y sech1 x dx
104.
y
each* x dx =» — coth x
105.
y
sech x tank x dx = — sech x
106-
y
csch x coth x dx = — each x
Exponential
x dx = cosh x
107.
y
e* dx = e'
IOS.
JI
a'
109.
y
x-e* dz
dx
-
(ainh x)
— tanh x
and Logarithmic.
Forms:
-^1In a
-
xv*
— n
y
— x1
x — >2 In (1 4- x5)
Hyperbolic Forms:
x*_ie* dz
mf*n
cos (m 4- n)x
2(m n) 2(m + «) . sin (m 4. sin fm (m — n)x + — — = —— — — mx cos nx ox cos 4~ ; 2(m n) 2(m + n)
X«rer*e Trigonometric Forms : 94.
^
i
, I am mx cos nx ax —
/f
+
esc x cot x dx — — esc x
87.
Jf
^-
(Continued)
sec5 x dx = tan x
So.
90.
Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
A Short Table of Integrals.
82.
84.
3-73
mwn
3-74 110.
MATHEMATICS
J
111.
/[
112.
//
-
In x dz
zdz
x" In
—
115.
... 116. 117. .. 118.
-
— dz -
A Short Table of Integrals.
3
(Continued)
z
i"*' T-l"^ Ln
! ] (n + 1)»J
+ 1
ln (ln x)
J
. •*•(« sin nx — n cos nx)nx dx = a' + »«
JI
. e"(a cos nx + n sin fix) cos nx ax ■» a' + n«
,,,[..r« Definite
-
x In x
x ln x
,,, „ sin■ 113. /[ e" 114.
Table 4.
[Sec.
—
Integral*:
^0
*•-■« - dx =
f' x»—
J/
, 1
/fn0
dx
—
f\ (lni)'
1
m
-
r(»)
. , m > 1
1
-. if
a' + z'
-
'dx
2
a > 0; 0, if a = 0;
- -. if a < 0
l * sin mx dx = it ., „ „ if m > 0; 0, if m = 0; / 0n
J
x
2
2
2
.. . if m < 0
1.9.
Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
120.
12L 122.
123.
/o-tan^d_x
/-«=L^.: /" « ■»•■dx - -2a Vr Jq
''dx
z'e
— I'
a > 0
4
Numerical Differentiation
1.4
and Integration
Given a set of numerical values of a function, the processes of numerical differenti ation and integration consist, respectively, of calculating the derivative (or deriva tives) by means of these values and of computing the values of a definite integral from the set of values of the integrand. In both numerical differentiation and integration the problem is solved by representing the function by an interpolation formula and then differentiating or integrating as desired. Interpolation formulas are discussed in Art. 3.5 of Sec. 3-1. It was noted in Art. 3.5 of Sec. 3-1 that a polynomial which agrees with f(x) at Xo, X\, x_i, Xj, x_j, is the central-difference formula
...
P(x)
= /(xo) + «m «/(*.)
jjHj^
+
^
iV(x„) +
tt(u' ~ P)
-
u.(M.
4!
- /(x.) where x
— xo
+ uA.
/'(xo) »
+
+ u Since u
PW
= 1
A"' +
=> 0
at
x0,
I*
A
-
iyM. 5!
V.
n a>/(*.)
+
3»)
(*lzL±^°
*
. . .
P) AV* + A'yM(W,37
the derivative at
_
+
x0 is
+
• • •
given by
A'»-.+A'y-,
+
. .
.)
Higher derivatives can be obtained in like fashion by further differentiating P(x). Near the beginning of a set of tabular values Newton's forward-difference formula
analysis
Sec. 3-2]
3-75
convenient and near the end of the set Newton's backward-difference formula convenient than the central-difference formula. There are a large number of quadrature formulas for the approximate integration of a function specified by a set of numerical values. As previously noted, any of the interpolation formulas can lead to quadrature formulas. The trapezoidal rule and Simpson's rule are the most commonly used. If h is the length of each subinterval, the trapezoidal rule is is more
is more
/. and
ydx
■
-
=
(i/o
+ 2y, +
2i/2
+
• • •
+ 2i/„_, + y„)
Simpson's rule is z»+nh V
•
where
dx
--
n
o
(tfo
+ 4y, +
2y2
+ 4y, + 2yt +
• ■■
+ 2y„., + 4y„_i + V.)
n in this last ease must be an even number; i.e., the number of subintervals is
even.
Gauss's formula (see references) is the most accurate of the formulas ordinarily can be used advantageously with high-speed machines.
used and
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2
FUNCTION THEORY 2.1
Real Variables
The subject matter of real variables may include the following topics: the system of real numbers, sequences, infinite series, ordinal and cardinal numbers, set theory, functions/ and limits, continuity and discontinuity, differentiation and integration, and measure* theory. Infinite series and differentiation and integration are of such scope that tliey arc discussed in other articles. Ordinal and cardinal numbers and measure theopy are not felt to be essential here.
The
System of Real
Numbers
and Sequences.
The
foundation
of the
Although ,nepry of functions of a real variable depends upon the real-number system. !n!f refined concept of the real number is the starting point for any discussion of the ftyhdamental parts of higher analysis, only the more important concepts and results indicated. The concept of the natural numbers or positive integers — 1,2,3, . . . —may be taken as a starting point. The class of rational numbers is obtained from the positive integers by allowing the inverse operations of addition and multiplication, namely, subtraction and division. The totality of positive integers, negative integers, zero, and fractions constitute the class of rational numbers. ^*ill be
It is generally appreciated that certain numbers such as \/2 and r are not rational Irrational numbers and cannot therefore be represented by the ratio of two integers. numbers arc generally derived from the rational numbers by either Cantor's theory or Dedekind's theory. Cantor's theory of irrational numbers depends upon the concept of a sequence of rational numbers. If by some suitable process a first, a second, a third, . . . rational number can be formed successively, and if to every positive integer n one and only one rational number a* corresponds, then the numbers Hi, at,
. . . , On,
. . .
in this order, corresponding to the natural order of the positive integer, are said to form of rational numbers. The individual numbers that form the sequence are called the elements of the sequence. The sequence a sequence
Hi, os will be denoted symbolically
by |o„).
, a»,
. . .
MATHEMATICS
3-76
[Sec.
3
A sequence of rational numbers |a«) is called convergent or regular if for an arbi trary « > 0 there exists a number N such that for every n > N |a„
—
an+m\
where
< «
m = 1, 2, 3, . . .
The essential feature of Cantor's theory of irrational numbers is the assumption that corresponding to every convergent sequence of rational numbers there exists a uniquely Any real number can, therefore, be regarded determined object called a real number. Two real num as being represented by a convergent sequence of rational numbers. bers A and B defined by the convergent sequences of rational numbers \a„ \ and |6„] are said to be the same number or are equal if there exists an integer N such that for all values of n > N
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\a„+„
—
m = 1, 2, 3, . . .
b„+„\ < €
where < is an arbitrarily small positive number. The real-number system consists of rational numbers, since any rational number a can be represented by a convergent sequence \cu\, where o» = a for all n, and the real numbers that are not rational, i.e., the irrational numbers. In the Dedekind theory of the real-number system the real numbers correspond to partitions of the rational numbers. A partition is formulated in the following manner. Divide all the rational numbers into two classes R and S. In class R every number is less than any number in S, and in class S every number is greater than any number in R. For an irrational number there is no largest number in R and no smallest number in S. For a rational number there is either a largest number in B or a smallest number in S. It is possible to show that Cantor's method of convergent sequences and Dedekind's method of partitions are equivalent in that starting with the rational numbers the same system of real numbers can be developed. If there exist a sequence \a„ | and a real number A such that the sequence {a„ — A | forms a null sequence, then the sequence \an\ is said to converge to the limit A and is denoted by lim
n —•to
a„ ■» A
\
\
\
t > 0 there exists an N such that for all n > (f, A\ < t. Every sequence that does not converge in the above sense is calli^ The Cauchy or general principle of convergence states that the necessary an } divergent. sufficient condition for the convergence of the sequence |a„| is that for every < > 0, there exists an N such that for n > N, \an+m — o,| < t, where m = 1, 2, 3, . . . . The system of real numbers can be considered sufficient for the needs of the theory \ of functions of real variables, since the real numbers form a closed system with respect to arithmetic operations, such as addition, subtraction, multiplication, division, extraction of roots of positive numbers, and powers, and the limiting process. A number system is called closed with respect to an operation or process if this process results in a number contained in the system. It is possible to set up a one-to-one correspondence between the points of a straight line and the real-number system. Because of this possibility, the properties and definitions of the real-number system have a geometrical interpretation. 2.12 Set Theory. The starting point for most mathematical developments is certain objects such as numbers or letters. A set (or class or aggregate or collection) is defined by any property that any particular one of these objects does or does not have. The objects that have the property are called elements of the set. This is symbolized by
This definition says that for every \an
—
s*S where s is an element and S is the set. An empty set does not contain any elements; i.e., there are no objects having the property of the set. Two sets Si and S2 are called equal, and in symbols Si = Si if every element of S, is an element of St and conversely if every element of Sj is an clement of Si. If all
ANALYSIS
Sec. 3-2]
3-77
of a set Si are simultaneously elements of a set Si, then Si is called a Sj, and this relationship is denoted by Si C Si. The notation S2 3 Si If Si C S2 and Si C Si, indicates the same relationship, and Si is said to include Si. then S, = St. If S, C S, and S, C S,, then S, C S,. If S, C S, but S, is not equal to St, symbolized Si ^ St, then Si is called a proper subset of Si. The intersection (or logical product or meet) of two sets Si and Sj is denoted by The Si C\ St and is the set consisting of all elements common to the sets Si and S2. union (or logical sum) of two sets Si and Ss is denoted by Si W Si and is the set con The definitions sisting of all elements that belong to at least one of the sets Si and St. the elements subset of
intersection and union hold for an arbitrary number of sets. If the intersection of Si and Si is the empty set, then the two sets are called disjoint or mutually exclusive. If Si is a subset of a set S, then the complementary set of Si with respect to S is the set of elements of S obtained by omitting the elements of S that are elements of Si. Generally the term complement of a set is used with respect to a fundamental, and therefore understood, set, such as the set of real numbers. Sets may first of all be classified into finite and infinite according to whether they contain a finite or infinite number of elements. An infinite set is called enumerable and only a one-to-one correspondence can be set (or denumerable or countable) Here the term countable up between the elements of the set and the positive integers. will be used to indicate either finite or an enumerable set. noncountable or a set that neither finite nor enumerable. The following results nonenumerable set dealing with countable and nonenumerable sets are well known: also countable. Any subset of a countable set The sum of a countable set of countable sets also countable. enumerable. The set of rational numbers The set of irrational numbers and the set of real numbers are nonenumerable. The set of all algebraic numbers An algebraic number enumerable. the root the polynomial equation of
is
is
is
is
is
is
5. 4. 3. 2. 1.
=
0
of
tux*
i-0
b.
b.
t, a
a
is
a
A
it
is
it
is
is
is
a
|lf ilf
S,
jS
if
is
a is
A
S if
is
is
S
is
S
is
S
S,
is
S
§
is
f
I
A
S,
V.
S,
S
S,
is
<
i
(o
f
a
S,
a
is
S
called limit point (or limiting point or accumulation point) of a set point a there exists point of the set different from a, in every neighborhood of the point — For a linear set a neighborhood of a point a means the open interval + «), there can be the definition of a limit 0. It shown from that every neighborhood > Kjint contains infinitely many elements of the set. If every point of an interval a imit point of a set then the set said to be everywhere dense. The set of all limit called the derived set (or derivative) of the set and denoted by >oints of a set and the limit points denoted by consists of all the points of The closure of = not a limit point that is, called an W S'. Any point of a set which totaled point. there exists a neigh point a called an interior point (or inner point) of set called an exterior point of a set point borhood of a containing only points of S. neither there exists a neighborhood of a containing no points of S. If a point called a boundary point of the set. then •n interior nor an exterior point of a set called closed. set contains all its boundary points and therefore its limit points, an interior point, the set called an open set. perfect set every point of a set Finally, a limit point of the set. closed set where every point of the set
A
[ .
A
if
is
x
.
A
is
is
6.
0
where a, ^ and all the en's are integers. The set of transcendental numbers nonenumerable. The real numbers that are not algebraic are called transcendental. In the discussion of the real-number system the set of points on a line was noted to This set of points called a linear point set or, correspond to the set of real numbers. all its points lie in a finite interval. linear set bounded briefly, a linear set. tAn open interval, symbolized by (a,6), consists of all points x such that a < x < < ■closed interval, symbolized by [a,b], consists of all points x such that a <
is a
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is
a
A
if,
if,
two sets
3-78
MATHEMATICS
[Sec. 3
It may be noted that the continuum is a set that is perfect and everywhere dense. complement of an open set is a closed set and conversely. For a linear set S a point a is called an upper bound if s < a for every point s of the set S. The point a is a lower bound if « > o for every point s of the set. The point a is called the least upper bound for the set S if it is an upper bound and if for any « > 0 there exists a point of 8 greater than a — «. The greatest lower bound a for a set is similarly a lower bound such that there is a point of the set less than a + t, where
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* > 0.
Two of the important theorems of set theory follow. Heine-Borel Theorem. Let the closed set of points S be covered by a set of intervals ; then there exists a finite number of intervals that likewise cover S. A set S is said to be covered by a set of intervals / if every point of the set S is interior to at least one of the intervals of the set /. Weierstrass-Bolzano Theorem. If S is an infinite bounded set there exists at least one limit point. 2.13 Functions and Their Limits. If in the course of a discussion a symbol may be assigned various numerical values, the symbol is called a variable. A constant A real variable has values in the assumes but one numerical value during a discussion. set of real numbers. Given two variables x and y, y is called a function of x if to every value of x in the domain of x there is determined a definite value or values of y. This functional relationship is denoted symbolically by y =» f(x). x is called the The vital aspect of the independent variable and y is called the dependent variable. definition of a function is that for every value the independent variable takes on, the corresponding value or values of the dependent variable are uniquely determined. The set of values that the independent variable assumes is prescribed and is called the domain. The set of values taken on by the dependent variable is called the range. A function is called single-valued if the dependent variable takes on but one value for If for any value of the independent variable each value of the independent variable. the dependent variable takes on more than one value, the function is called multivalued (or multiple-valued). A polynomial function has the form n
Oox"
+ OiX"-1 +
■■•
+ a,-ix
+
o»
where the a,- are constants and n is a positive integer. of two polynomial functions. An algebraic function
s
Y ail"-'
A rational function is defined
ratio of the
is the
by means
equation
n
7
/.(i)a._,
= 0
where the/;(x) are rational funct ions of x. Transcendental functions are functions that are not algebraic. The theory of functions of a real variable deals with correspondences between two sets of real numbers, designated the independent and dependent variables. The terminology of set theory therefore applies to the set y. The function /(x) is said to be If the least upper bound bounded, have a least upper bound, etc., if the set y does. of a function is a point taken on by the function, then it is called the maximum (or maximum value) of the function. The minimum is associated similarly with the
lower bound. The quantity f(x) is said to have a limit b as x tends to x<>if for any c > 0 there exists a i > 0 such that |/(x) — 6| < c for all x for which 0 < |x — Xo| < *. Sym bolically this relation is written greatest
lim /(x) =
b
Sec. 3-2]
ANALYSIS
3-79
From the definition of the limit of a function, it follows that if the limit exists, the value approached by fix) as x approaches xo does not depend upon the value of f(x) at io and also is independent of the particular set of values that x takes on in approach If the independent variable x is allowed to take on only values larger than ing xo. io or less than xo, then the respective limits are called right-hand and left-hand limits. These are symbolized, respectively, by
and
f(x<>+)
or
lim f(x) =
f(xt>~)
or
lim f(x)
x>x*
lim fix)
i
The Cauchy or general principle of convergence states that a necessary and suffi cient condition for the existence of a limit to fix) as x tends to Xo is that for « > 0 there exists a 8 > 0 such that \f(x") — f(x')\ < t for all values of x', x" for which 0 < |x" a\ < 4. a\ < \x' A function may depend upon the values taken on by two or more independent variables. Again the vital aspect of the functional relationship is that whenever each of the independent variables assumes a value, a corresponding value or set of values of the dependent variable is uniquely determined. Given a function of two or more variables, there exist two types of limits: iterated limits and simultaneous limits. Let fix,y) be the function of two independent variables x and y, and let (xo,yo) be the limit point; then and lim [" lim f(x,y)~l lim I" lim fix,y)~\ x—fXt |_V—*I/o V—'W Vx— >lo
-
-
J
J
An iterated limit indicates that first an are called iterated (or repeated) limits. ordinary limit is taken for one variable holding the other variable (or variables) fixed and then a limit is taken for the other variable (or other variable with the remaining The simultaneous limit fixed). lim f(x,y) x—*xt
has the value A if for c > 0 there exists a positive number 4 such that \f(x,y) — A\ < t for all x and y such that 0 < \x — io| < 4 and 0 < \y — yo\ < 4. If the simultaneous limit exists, then the two iterated limits exist and are equal. The converse does not hold, since the simultaneous limit can be nonexistent and yet the two iterated limits may exist and even be equal. A function fix) is said to be 2.14 Continuous and Discontinuous Functions. continuous at a point Xo if lim f(x) = /(xo) x—►Xo
t
0
4
-
if
<
a
is
if it
x—*a*
b,
is
S.
>
0,
t
for
—
is
|x
is,
such that |/(x) — f(x0)\ < for all x such that there exists a > In words this definition states that the limit shall exist at xo, that the Xt\ < continuous in the function defined at xo, and that these two values are equal. f(x) and at the end interval [a,b] continuous at every point x, where < x points lim /(x) and lim f(x) = f(b) /(a)
that
x—*b~
is
said to have an ordinary discontinuity (or jump discontinuity the rightor discontinuity of the first kind) at the point x0 hand and left-hand limits at point exist but are not equal; i.e., The quantity f(x)
a
if
or simple discontinuity
f(x)
*
lim
X~*Xa~
fix)
the right-hand and left-hand limits exist and are equal but the function has different value, i.e., lim fix) = lim fix) fix0)
*
a
lim %—*Xt*
If
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lim f(x) =
3-80
MATHEMATICS
[Sec.
3
then the function has a removable discontinuity at the point Xi>. When the right-hand limit or the left-hand limit or both these limits fail to exist at point i0, then the function has a discontinuity of the second kind at the point x«. A function is continuous on the right at a ■point if the right-hand limit has the same value as the function at the point. Continuity on the left at a point and continuity on the right and left in an interval are denned in a corresponding fashion, /fx) is called uniformly continuous in the interval [a,b] if for « > 0 there exists a t > 0 satis independent of the xo in the interval [a,b] such that |/(x) — /(io)| < e for all fying \x Zol < S. Let f(x) be continuous in the interval [a,b], then the following results hold: 1. f(x) is uniformly continuous in the interval. 2. /(a) and/(6) have opposite signs; then there exists at least one value of x in the interval for which f(x) vanishes. 3. /(a) & f(b); then as x takes on all values between a and 6, f(x) takes on at least once all values between f(a) and fib). 4. If f(x) is single-valued in [a,b], then there exists at least one point of [a,6] at which Likewise there exists a value of x where the minimum f{x) takes on a maximum value. is attained. 5. The function is bounded in that interval. 6. The function is uniquely determined at every point of the interval by prescribing the function at a set of points everywhere dense in the interval [a,b].
i
-
Complex Variables
2. 4.
|zi |i|
6. 5.
|zi
7.
|zi
3.
+ Z2 = Zl z2. zTT2 = ziZj; (zi/z2) = 2,/22. Zi
-
—
zl
|z|.
=
y/x*
y*
=
and the con
•
±
1.
z
i
+
The following relations involve the absolute value — iy: = jugate
|z|
2.21 Complex Plane and Sphere. Complex numbers have been discussed in Art. 2 of Sec. 3-1. The set of complex numbers can be put into one-to-one corre This correspondence associates the complex spondence with the points of a plane. number z ■=x + iy with the point in the plane whose rectangular or Cartesian coordinates are (x,y). Because of this association this plane is called the complex or z plane. This geometric association for complex numbers not only gives a geometrical interpretation for operations involving complex numbers but also allows the use of geometric terminology such as points and distances when discussing complex numbers. When the improper point z = °o is added, the complex plane is closed. The number or point z can also be thought of as a vector that originates at the origin of the coordinate system and ends at the coordinates (x,y). The points of the closed complex plane can be mapped by stereograph ic projection one-to-one onto the points of a sphere called the Riemann sphere (or sphere of com In this mapping, the south pole is placed at the origin and correspond plex numbers). ing points for the sphere and plane lie on a ray that originates at the north pole.
|z|».
is
z
it
z
is
is
z
if it
z
z
z
is
of
a
if
if it
is
a
a
z2|
is
z2|
is
is
z2|
the distance between the points Zi and z2. farther from the origin than zi. |z2| > |zi| says that the point z2 < |zi| + |z2| corresponds to the geometric statement that no side of a + triangle greater than the sum of the other two sides. — > ||zi| — |z2|| states that no side of triangle less than the difference of the other two sides. 2.22 Functions of The concepts and definitions for real Complex Variable. variables generally have significance for complex variables, called a complex in the course of discussion variable assumes various complex values. Given two complex variables and w, w called a complex function the complex variable to every value of in the domain of there determined a value or values of w. Again w called single-mlued takes on only one value for each value of and w multiplevalued takes on two or more values for any value of z. Polynomial, rational, algebraic, and transcendental functions are defined for complex variables in the same is
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2.2
if
Sec.
ANALYSIS
3-2]
3-81
The distinguishing feature is the use of complex con for real variables. the complex variable z in place of the real variable x. neighborhood of a point zi is the circular region
fashion as
-
|z
<
■
A
Zi|
stants and
> 0. The definitions of limit point, interior point, open set, and closed set An in the article on set theory are applicable to a set of complex numbers. any two points connected; that open region, or just region, denotes an open set that the set may be joined by continuous curve all of whose points belong to the set. called simply connected a region plus all its limit points. region closed region region every closed curve within the region encloses only points of the region. that called multiply connected. not simply connected an integral taken along closed curve that the boundary of a region, the called positively closed curve commonly called a contour integral. integral oriented traversed, the interior of the curve lies to the left of the curve as the curve counterclockwise. If only the initial and terminal points of a i.e., the direction curve coincide, then the closed curve called simple. for any > approaches zo The quantity /(z) said to have the limit u>o as — < there exists a for which < such that |/(z) — w<>\ < for all > = u(x,y) -f- iv(x,y), where = x Let h — /(z) = u + and u and are real functions of x and y; then the limit can be expressed by <
where
is
—»*«
for limits with
a
The results
u(x,y) +
zo|
|z
v
+ iy
Uo
*. 0
<
if
z
lim v(x,y) = x—»aro y—»yo
+ ivt
= u>o
complex variable follow almost directly, therefore, from complex variable
is
single-valued function /(z) of
a
A
corresponding results for real functions of two real variables.
called continuous at a point
tt if
lim /(z) =/(z0)
C—»*0
requirements of the definition are, again, that first the function be defined approached, and finally the limit value must the limit must exist as z0 equal the value of the function at zo. The results of real variables concerned with For example, a function continuity lead to analogous results for complex variables. uniformly continuous in that continuous in bounded closed region, then .Hz) a finite positive region; bounded in that region, that is, |/(z)| < M where M an inner point of the number; |/(z)| has a finite upper limit in the region; and z0 region such that /(z0) ^ neighborhood of z0 for which /(z) 76 0. then there exists The derivative of /(z) at the point zo defined by The three
is
z—»*o
z
is
is
a
0,
if
is
is
it
a
it
if
is
at zs, second
is
— Zo
t—»« Az
It,
defined by
f}
a
dz,
which
symbolized by
jcf(z)
l°J(z)dz
jcf(z)dz
=
lirn
£
n
=
/(*)(*.
is
the limits a and
is
between
0,
- *_,)
C C,
of
p
C
z
a
a
is
if it
The where /'(zo) denotes the complex number that the limit, exists, assumes. differentiation rules for real variables can be extended essentially without change to region derivative at every point of function that has variables. complex called differentiable in the region. let a and be region Let to = /(z) be a continuous single-valued function of in two points of R, and let be a curve of finite length connecting the two points and be a sequence of points on Furthermore, let zo = a, zi lying in R. z„ = wd let in be any point on the curve between z<_i and Zj. The integral /(z) along
A
Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
f
x—*xt If—»yi
i
lim /(z) = lim
0
z
z
iy
t
0
5
is
is
is
is
is
if is
A
a
If
is
is
is
if
A
is
A
is
A
a
of
is
is,
as given
3-82
MATHEMATICS
[SEC. 3
J
[v(x,y) dx
+
i
+
u(x,y) dy]
may be represented by the real parametric equations x = g(t)
-
and
= h(t)
y
The curve
- v(x,y) dy]
\u(x,y) dx
/
/(») dz = C
/
i
\zi
where the limit indicates that n tends to infinity and that the absolute value of every — subdivision 2<_i| tends to zero. Since /(z) = u(x,y) + iv(x,y) and dz = dx + dy, the complex integral can formally be written as follows in terms of real integrals:
-
+
vh'(t)] dt
Wit) +
I
dz; that
/(z)
be noted:
dz; that is, the sum of two integrals
equal to the integral taken over the entire curve. if
dz — —
I
/(z)
/
2.
curves
f(z) is,
taken along two successive
dz m
is
f(z)
I
dz
+
/
1.
The following elementary properties for complex integrals may f(z)
p(0
uh'(t)] dt
the direction of integration
is
[ug'(t)
fl
0
-
dz
i
ff(z)
f^
1,
t
0
= j(l) + tVi(l). where < < Let the functions a s(0) + iVi(O), and and h(t) be single- valued and have continuous first-order derivatives; then
reversed,
M
h*
[ft(z)
for any
on
dz.
and
L
where |/(z)| <
dz
+
fcMz)
is
ML,
fc,
fc
+
<
-
C
dz
dz
z
/(z)
ktft(t)]
the length of the
I
4.
[fci/ito
/ / c
3.
curve C. is
;/
v
1.
+
is
if
is
A
a
is,
is
A
2.23 Analytic Functions. single-valued function f(z) which differentiable, has a first derivative at every point, in region that called analytic (or regular or holomorphic) in the region. function /(z) called analytic at a point z<> its derivative exists at every point of some neighborhood of zo. The concept of analytic functions, or analyticity, particularly unifying and important for mathematical physics. Two necessary and sufficient conditions for the function /(z) ■ u(x,y) iv(x,y) to be analytic in the region D follow: Cauchy-Riemann Equations. The four first-order partial derivatives of u and with respect to x and exist and are continuous in the region D, and they satisfy the Cauchy-Riemann differential equations
2.
dx
Cauchy-Goursat Theorem
_
dv
du
dy
9y
and Morera's
dv
_
dx
Theorem.
The integral
/
du
/(z)
dz of the
closed
Let /(z)
/CO dz
be continuous
in
simply
=0
curve lying within the region, /(z)
is
/. c for every
-
if
Morera's Theorem (Sufficiency).
nected region; then
dz
a
/(z)
0
c/,
is
C
continuous function /(z), when taken along the entire boundary curve of any subregion of the region D, zero. a. Cauchy-Goursat Theorem (Necessity). Let /(z) be single-valued and ana lytic within and on a closed curve C; then
b.
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the value of the integral remains the same except for sign.
analytic in that region.
con
Sec. 3-2]
ANALYSIS
3-83
Although it is possible to formulate other necessary and sufficient analyticity, it is customary to consider the consequences of analyticity in turn, imply analyticity or not. Some important consequences follow. 1. Canchy's Integral Formula. If f(z) is analytic in a region D, integral formula
JC z
2m
—
conditions for whether they, of analyticity then Cauchy's
z0
valid for every simple, closed, positively oriented curve C and for every point z0 interior to the curve C. 2. Higher Derivatives. If a single-valued function f(z) is analytic in a region, then not only does the function by definition have a first derivative in the region but it also The formulas has all higher derivatives. is
V /(*„) 1
- £l ( _-/(*\ IC 2rt JC (z (z
zo zo)
,
dz
»+1
n
-
1, 2,
are valid with the same conditions used for Cauchy's integral formula. 3. Laplace's Equation. If /(z) = u + iv is analytic in a region, then the functions
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u(x,y) and
v (x,y)
satisfy in that region the partial differential equation
dy*
dx1
This equation
is called Laplace's differential equation and is of great importance in mathematical physics. A function that has continuous second partial derivatives and satisfies Laplace's equation is called a harmonic function. If f(z) = u + iv is analytic, then u and v are called conjugate harmonic functions. ■i. Taylor's Series. If /(z) is analytic in a region D with a boundary C, then at each interior point zo, /(z) can be represented uniquely by a power series of the form
y
a„(z
-
z0)n
i-O ,fM(zo) o„ = —■
where
nl
This series, called a Taylor's series, converges and represents /(z) in the largest circle with center z0 that encloses only points of D. If z0 = 0, a Taylor's series is called a Maclaurin's series. 5. Laurent's Series. Let/(z) be analytic in the annular region D bounded by two concentric circles with center z0; then /(z) can be represented by the Laurent's series
V where
a„ =
^ jc
a„(z
(f
—
zo)"
- zo)-""1^)
<2f
and C is a simple closed curve lying in D and enclosing the inner circle. If two functions are analytic in a region, and if they coincide, 6. Identity Theorem. in any neighborhood of any point Zo of the region or any curve terminating at z0 or even for an infinite number of distinct points with the limit point Zo, then the two
functions are equal throughout the region. The maximum modulus of a function Modulus. 7. Principle of the Maximum analytic in a closed region always lies on the boundary of the region.
3-84
MATHEMATICS
[Sec. 3
8. Liouville's Theorem. If a function /(z) is analytic and its modulus |/(z)| is bounded for all values of z in the complex plane, then /(z) is a constant. 2.24 If a function can be Singularities and the Classification of Functions. made analytic at a point z0 by merely assigning the function a new value at the point An isolated singular Zo, then the function is said to have a removable singularity at z0. point of a function is a singular point that can be enclosed by a circle containing no other singular point of the function. An isolated singular point Zo of a function f(z) is called a pole of order n if a positive integer n exists such that (z
- *,)V(«)
is analytic at z = z0 and is different from zero when called a simple pole. An isolated singular point essential singularity of f(z) if lim (z r0)"/(z)
z = z0. Zo
of
a
-
In case n = 1, the pole is function /(z) is called an
t—*Zti
tends to infinity for all finite values of n. z = z0 is called a branch point of the function /(z) if /(zo + pe^) is not periodic in tp with period 2ir, where p is chosen so that Zo + p*** is in the region of analyticity of for all
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/
=
/(*)
The expression
>
bn(z
—
)
z0)~"
a,(z
—
zo)"
is called the
+ y
b,(z
from the Laurent's expansion by
z0)~
principal part of f(z).
n = l
is defined as the residue of the function
—
f(z) at the point
Zo.
The coefficient b\
The formula for
b, is
given
where C is a simple closed curve enclosing zo. The fundamental theorem of the calculus of residues follows: Residue Theorem. Let f(z) be analytic except for a finite number n of isolated singular points within and on the closed curve C; then n
fcf(z)dz
=2W
£
Rt
where R,, . . . , Rn are the residues at the n singular points. When f(z) has a simple pole at z0 and has the form
3-85
ANALYSIS
Sec. 3-2]
0, h(z0) = 0, and ft'(zo) ^ 0, the residue of
where g(zo)
/(z) at
So
is
gfo) h'(z„) 2.26 Conformal Mapping. Let w = f(z) denote a mapping or transformation from the z plane to the to plane. If the transformation preserves the magnitude of If in a mapping both the angles but not necessarily the sense, it is called isogonal. magnitude and sense are preserved between every pair of curves through a point zo, then the mapping is called conformal. If a function is analytic at a point z0, then either f'(z) = 0 or the mapping w = /(z) is conformed at z0. A critical point z0 of a mapping is a point at which /'(zo) = 0. One of the most important results of a conformal mapping is that a harmonic function, that is, a function K(x,y) which satisfies Laplace's equation (d'K/dx1) + (d*K/dy*) = 0, remains harmonic under the change of variables that arises from the conformal map /(z); that to = u + iv a ping (d*K/du*) + UVK/dv') = 0. Furthermore, or of the type dK/dn = where dK/dn boundary condition of the type K(x,y) = the normal derivative, transforms into a boundary condition of the same type. Therefore by using analytic functions function possible to find in many cases that harmonic in given region and satisfies boundary conditions of the above type. The transformations w = (az + f))/(az + S), where aS — 07 ^ called linear fractional transformations, are conformal. In particular they map circles, which include straight lines, since the lines are circles with infinite radius, into circles. Other important properties of linear fractional transformations may be found in the references. The transformation a
is
- X,)-*'(Z - 2,)"*'
• • •
- Zn-O-'-'dz
+
Ci/(Z
(Z
W =
C2
="/(«)
2.27
Analytic
Continuation.
Riemann
+
+
1)
,
.
1,
2,
(»
,
2,
1,
z
is
is
where Ci and C2 are arbitrary constants and the integral an indefinite integral, called a Schwarz-Christoffel transformation. This mapping takes the x or real axis in the plane into a polygon of n sides in the w plane. The points Wi = /(x,), where = . . . n and x„ «■ «, are the vertices of the polygon. The exterior angles at the vertices u>< — are given by fcix. . . n — The exterior angle at tr» is given by ■• • fc„T — 2» — (*i + kt fc„-i)ir
i
Surfaces.
The identity
theorem listed
in a region D2.
Furthermore, let the regions Dt and D2 have
a
a
under analytic functions leads to the important concept of analytic continuation. Let /i(z) be an analytic function in region Du and let fi(z) be an analytic function
subregion in common
in which the functions f\(z) and /2(z) coincide completely (or even on a curve in the subregion). The functions /,(z) and /2(z) then define the same analytic function F(z). f,(z) and ft(z) are called analytic continuations of each other. Furthermore, fi
multiple-valued
function
is a
may
A
it
is
A
is
is
If
a
is
function
z
is a
is
it
that is not single-valued. In considering multiple-value functions convenient to introduce the geometric Kiemann surface concept of a Ilicmann surface. generalization of the plane consisting of a surface of more than one sheet arranged vertically. On each point A
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0,
a
is
it
is
C
0,
is,
-
MATHEMATICS
3-86
[Sec.
3
of this surface the multiple-valued function has one and only one value, and the func tion is therefore single-valued on the surface. Special Functions
2.3
Since over a thousand special functions have been investigated, it is possible to consider here only a few of the more important functions of mathematical and reactor physics. Gamma Functions. Beta. Definitions. 1. The Factorial, 2.31 Polygamma, gamma function r(z) is an analytic meromorphic function of z with simple poles at The z = — n, where n = 0, 1, 2, . . . and with corresponding residues ( — l)n/n\. following conditions then determine T(z) uniquely: a. T(z + 1) = zT(z). b. If T(z) is real and positive, then (z) is real and positive. c.
r(i)
=
-
l.
d. [(dt/dzt)r(z)]T(z) 2.
Weierstrass
(dT/dz)1 > 0 when
z is real
and positive.
Definition:
n =1
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where
y,
the
Euler-Mascheroni
constant, is defined by
J y =
3.
Jim
- In
(^
= 0.577215665
■■•
Euler's Formula:
■"-into +a'0 +r] n1
exists except for 4.
z =
— n, n = 0, 1, 2,
. .
. .
Euler's Integral:
f" e-H'~l
T(z) = holds for the real part of
F unctional
z
greater than zero (Re
z > 0).
Equations:
r(z + l)
-
r(z)r(i r(z)r (z For n
dt
+
^
r
(*
- 2 this becomes
+
1)
r(i)
r(Ji)
T'(l)
= n! = = o! =
r
(z
n(n l
r(2)
- 2)
=
=
+
zriz)
-A— jrZ
sin
~ir~0
=
C-ir)<"'1,/J"^"'r('«)
= (2jr)^^2^-,T(2z).
F(z)r(z + Vi)
Special Values:
r(n +
• • •
1)
z)
=
i
= = — 7, the Euler constant
•
■2 • 1
(n = 0,
1, 2,
.
.
.)
analysis
Sec. 3-2]
3-87
Derivatives:
r(z) **
dz
y- {fn-i(z)], n = 2, 3,
dz
=
*.(*) +
...
y — i— £l (j + *)"
(-D"n!
-
1)
is called a poly gamma function,
-
[(-l)*n!]z-«
Sterling's Formula or Asymptotic Formula for Large \z\: In
- -
r(z)
+ ft(z)
|arg z| < «■
and where
!*!>L
\Rn(z)\ <
- l)|z|»'v-'
2N(2N
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2*-
+ «*(«)
Zrf n=1
where
The numbers B2„ are the Bernoulli Bi«+i = 0, and
In particular, n! = n"e~" V^irn
(1
0 <
This
TAe Beta Function.
Re * »t > 0 and Re n Alternative definitions are
- J0f
B(m,n) B(m,n) 2.32 geometric
.
- re4*)
(cos|y'V and are defined by Bo =
Bi
=
Hi
2(2n)!
+ r(x)], where
r(i)
<
—
—
H
12x
288z'
=
- 0""'
<"-Hl
> 0.
» +[-)m+ndt
=
B(m,n)
/"ir/2
Jo
sin'-"-'
*> cos2"'"
... r(m)r(«) - = H(n,m), = —
—
T(m + n)
Hypergeometric Functions. Ordinary, General, Confluent. The hypergeometric differential equation Function.
z(l
- ^ + - z(a + «)
dz*
[c
6
+
at the origin the general solution u>(z)
1,
is defined by
B(m,n) where
(z
'
numbers
-
B„
has
- * + H In
V (-1)--' ~^—r. 2n(2n — 1)
ft(z) =
where
In *
(z
JV-l
= AF{a,b;c;z) + Bzl~
•The notation "Re" means "the reftl part of."
+
1
-
1)]
~
dz
c, b
+
- abw 1
Ordinary Hyper-
= 0
- c; - c; z) 2
MATHEMATICS
3-HS
where A and B are arbitrary constants and a,
„
E^+A> r(o)
1;(a + „
_
- • •
2)
-
(a),
+ 1)«
(a
The circle of convergence for this
function or series.
0
series
1.
]z|
in railed the hypergeometric = is the unit circle
_
(a + n
n!
(c).
Zrf
e
[0(0
can also be written in the form
- - z(e + a)(0 + 1)
+
The hypergeometric equation
=
b))w
0
-
(a)„
The
parameters.
c are
f Mfi-r
***** where
and
b,
3
[Sec.
1;
±
z)
z,
1;
±
0
1
\z\
<
tz)~' dt
The
6)
a
6)
T(c
Functions.
Hypergeometric
-
- - a)T(c -
r(c)r(e
f(o,6;c;l) Generalized
>
0
f'
<
-
< - - tz)~' dt
b
b)
JO
He
0
>
-
c)
+
b
(a
and lie
c
'
-
Re 1
z
When
IM_ -
—— T(6)r(c
0,
-
F(a,b;c;z)
generalized
hypergeometric
differential
1
g
+
if
#
and
at
TO
=
,F,(a;b;z)
' ■ • • •
~
'
-
and «
n^n =0
ffi= (bi)n
(b,)„ v
64;z)
-
p
0
It has singularities at 1). = The solution regular at
to
0
+
(0
i-i
a,)]
p
\\
z
I)
-
0 is
+
-
Y
ap;6,
+bj
z
q
A(a.
1.
if
q
of tho order max (p, — and 00 + p
0, is
y-i
(0
[0
l\
«
equation
1,
n!
<
p
1. z
+
q
p
if
0
z
1,
q
,
p
if
1
<
if
is
is
and called the generalized hypergeometric series. It assumed that the 6s are not negative integers. In general this series converges for all finite q, converges = for and diverges for all > 5* + Contiguous relations, integral representations, and relations among various argu ments for the generalized function may be found in the references. Con fluent Hypergeometric Functions. The confluent hypergeometric function, or Hummer fit net ion |z|
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F
±
1,
1
0,
1,
0
s z(d/dz). The singularities (regular) of the equation occur at where the operator and «o . Because of these singularities solutions of the hypergeometric equations — are also often written in terms of the arguments l/z, 1/(1 — z), z/(\ — z), and Rummer's 24 solutions and various relationships among them involve (1 — z)/z. these arguments and may be found in the references. are 0; y; z), F(a, The six functions F(a y; z), and F(a, 0; y called contiguous functions to the functions (a,$\y;z). Gauss's 15 recursion formulas relate the contiguous functions by expressing one function in terms of two others. These formulas may also be found in the references. In the references are found various integral representations, both real and contour, The best known integral representation follows: for the hypergeometric function.
analysis
Sec. 3-2]
Rummer's differential equation
satisfies the
z Hummer's
Kummer's
first formula is
—
dho
.
+
dz1
,,
aw = n 0
dz
- a;
6;
+
H;
-z)
second formula is
eVi(a
=
l4z*)
independent recursion formulas or contiguous relations are
(a
- F(a - 1; b; z)
-
=
(a + z)F(a;ft;z) b
af>
-
+ l)F(a;b;z)
+ Z-F(a; —
+
1 ; 6; z)
+
z
af'(a +
1; 6; z)
+
(1
representation when Re
b
o
+
1; z)
^(«: 7? o
-
b)F(a;
b b
+
-
1; *) 1; «)
Re a > 0 is given by
6 >
Most of the functions of mathematical physics can be expressed in terms of general Examples of functions that can be expressed as special hypergeometric series. cases of a jFi or a if\ appear in some of the following articles. The cylindrical, or Bessel, functions 2.33 The Cylindrical or Bessel Functions. ized
are
solutions of the Bessel differential equation
,dlw —
z»
dz'
+
z
— dz
This equation has a regular singularity The
. , + («'
dw
-
= n 0
*s)u>
at z = 0 and an irregular singularity at z = oo.
functions
t-0 N,(z)
=
«V»(z)
=
Y,(z)
=
-
sin
vir
(./„(z)
y,(z) + ;r,(z)
cos
it
//,<»(«)
- /_,(z)] -
=
J,(z) is called a Bessel function of the Bessel differential equation. V, (or Nr) is called a The subscript v is the order of the function. Seumann function or a Bessel function of the second kind. HSl) and H „(J) are called It may be noted Jirst and second Hankel functions or Bessel functions of the third kind. that J,(z) and F»(z) are real if v is real and z is positive. If v is not an integer, it is customary to choose J,(z) and J-,(z) as the two linearly When v = n, where n is a positive integer, independent solutions of Bessel's equation. it is necessary to use Jn(z) and J'„(z) = lim V„(z) for the two independent solutions, solutions first kind.
are all
once
J..(z)
(-l)"./„(z)
that the Bessel function of the first kind of integer order, in the following expansion:
The Bessel coefficients, occur
=
exp
[Hz(t
- )]
=
£
of the
is,
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z)
= e',F,(6
iFi(a;b;z)
F(a;b;z)
An integral
, dw
—
(b
,f,(o;2a;2z) The three
3-89
J„(z)<-
3-90
MATHEMATICS
[SEC. 3
The Bessel differential equation has the form, when z is replaced by is, z*
—
-
dz1
+
-
z
(z1
dz
The functions
IM
=
to
r*-J**»)
I
=
±
it — 0
-2
K,(z)
and
v*)w = 0
+
which are solutions of this equation, are called, respectively, modified Bessel functions of the first and second kind. Again if v is not an integer, l,(z) and /_,(z) arc taken as the two independent solutions, and if v is an integer, I,(z) and K ,(z) are taken as the two solutions. /»(z) and ZC,(z) are real when v is real and z is positive. Z, is used els Some of the more useful relations involving Bessel functions follow. an abbreviation for CiJ,(z) + cjK,(z), where Ci and ct denote arbitrary constants. Functional Equations: = —
+ Z,+\
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J pj-p+l + J p-lJ
z
sin
2
-p
z, ■2
2
rz 1,1
—
Derivatives:
£'»
— — 2
—
\Zv-\
—
—
Zmi]
i
pjfp
i = Zq —
- J'.,J, JY
.
pi —p
1' pKp —
Integral Representations.
Jn(z)
Representation
—
- Z\
z
=
y
2
p
irz
i
_
.
—pi p —
—
2
sin
mr
TZ
K' pi p
-1 /fr cos
as a Hypergeometric
- Zv
z
oz'Z,_i(az)
=
J?'o ™ — iTi
J
sin nr
+ ^f-i =
z
[z'£,(az)]'
J' J.,
2
,~\
(z
" sin
Function:
1
t —
n^>) dV
—
Z,+\
analysis
Sec. 3-2]
3-91
General Differential Equation:
if
ft
m ?* 0 and b
zho" + azw' +
(bzm
+ c)z
= 0
0, w = z
r
where
= —
i-TLf z,
m
2
\/(l
—
V6 *»")/ (i \m — 4c
a)*
Special Cases: (K«*)>*
The
2.34 Legendre Functions. differential equation
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£-*£
where
»
and
m
Legendre
+
functions
arc solutions
of Legendre's
[* + »-
are arbitrary parameters.
The functions
and
«^W
2,+1
r(„ + ^)
2,+(.+i
\2
T2
'2
2M
2*
2*«/
are linearly independent solutions of Legendre's equation. Ps(z) and Qs(z) are known respectively as Legendre functions of the first and second kind. Since Legendre's equation is not changed when z is replaced by — z, n by — p, and v by — {» + 1), it
follows that
P,**(±z)
P-,-^(±z)
Q,±*(±z)
Q_,_,=^(±«)
are also solutions of the equation. The most common Legendre functions occur when u = 0. The superscript 0 is dropped in this case, and the Legendre functions are written as P,(z) and Q,(z). In case it ^ 0, the functions are often called associated Legendre functions. The following simple relationships exist: P,*(Z) and
- 1)"» ^^ (*' - l)^^£l
= (*'
Q,*(z) =
ft?* dz"
fc = 1, 2,
. . .
When v is a nonnegative integer n, the functions P„(2) become polynomials In hypergeometric function notation the Legendre polynomials.
2»»(n!) and
called
[Sec. 3
MATHEMATICS
3~92 A convenient formula for
the Legendre polynomial
is
known as Rodrigues' formula. These polynomials form an orthogonal system on the interval [ — 1,1] and have all their roots real and simple and between — 1 and I. The Legendre polynomials occur in the following expansion:
-
(1
=
2zi +
£
P»(z)<"
71= 0
Some useful relations i fol follow:
-
Functional Equation: = z(2n + 1)P„
(n + 1)P„+, Derivatives:
= P'.+ 1 nP„ = z/J'„ (n + 1)P„ = P'„+.
Laplace's Integral:
- 1)»
*
- /
=
P.(z)
- P'.-i - zP'„
-
1)P.
(2n +
[(z8
cos «.
+
-
Pi(z) P„(l)
-
-
P»(-D
= 1
-
= x = cos *> 1) = W(3 cos 29 P«(x) = H(3i* >g(5 cos 3^ + 3 cos >) 3x) 30*» + 3) Hi^i* ^4(35 cos 4? + 20 cos 2V + 9)
-Px(x) ^(5x>
1
P|(x)
-
(-D"
=
P»„+.(0)
= 0
P,„(0)
J'
Po(x) =
P„(z)s dz =
=
(-1)-
+ 1)
JHgL
4 Sunt Formula:
1-0 Orthogonality Relations:
Lp) m
m = n
0
az =
m = n =
re
z1 —
-
= ir
za)u>"
- zw'
+nht>
-
0
(1
The Tschebyscheff polynomials of the first and second linearly independent solutions of
-
arc cos
0
/
vi -
= sin
if
r„(z)7-„(z) —
0
/•l
y-i
i;
(n,
-n;
,
=
tr,,(z)
z)
r.«
Polynomials: (n
Tn(z) = cos (n arc cos
z)
Tschebyscheff
if
Orthogonal Polynomials.
j
n ^ to
if
P
2.36
P»(z)P«(z)
0
jl_x
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Special Cases and Values:
z]«
kind,
Tn(z) and
U„(z)t
analysis
Hermite Polynomials:
-
Hn(z)
(-1)V'"^(«-'V1) dz"
a.i'N if
m ^ n m
dz =
e-''"Hn(z)H„(z)
= (27r)^n! nff„ =
+
- zff'„
ff"„
!)!_„/ if
+
l.z'\
0
_ (-l)"(2n
/:.
/
M _ (-D"(2n)!
H
3-93
-n
0
Sec. 3-2]
(a+,1)' n
+
+ nw
= 0.
- z)w'
r(l
+ a)
m =
n
if if
|AL-
+
1
zm>"
(a
satisfies
(SL± n!
Jacobi Polynomials:
- (-l)'(l
P„«.*>W
-»)-"(! +^»[(1.t)<^,(1 +f)M 2"n! dz"
n(n + a +
+ 1)»
=
0
+ 2)]i/'
0
+
+
- t*)y" + - a - z(c
0
satisfies
[0
(1
P .«•■*» (z)
Gegenbauer Polynomials:
is
is,
=
i#0
0
t(x) dx =
I
i(x)
such that
/:
but
0,
x
is
is
J
it
Dirac Delta Function. In many problems of physios and engineering 2.36 func expedient to introduce a quantity S(x) called the Dirac delta function (or just not a proper function in the sense of having a definite value for each tion). 6(x) Formally a Dirac. delta function i(x) value of the independent variable. defined = to be icro except at that is
i(x)
=
lim *a(x) A-.0
a
is
5
is
0
is
This formal definition does not give a clear picture. It may, however, be inferred function but zero outside very large near x = that the very small interval It not important in applications to know the precise variation of about x = 0. i(x) with x. For example, the function may be defined by S
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» £„
m ^ n
0
/. 0
dz =
e-'zaL„('"Ln(a)(z)
■F.C-n; a +
!
=
1;
(e-'*"+«) ^" n az" !
=
^
L.""W
z)
Laguerre Polynomials:
3-94
[SEC. 3
MATHEMATICS
where
x<-\
■0
-|<*
be used with caution:
Laplace Transform:
*
dx =
[
S(x)e~"
a)
a)
= •r(a)
a)]
— 27ri
e"
A-<-
dx
S{x)eu'dx =
1
J'
Fourier Transform:
/_".*"*"*
»(*>
Other Functions.
Incomplete
7(a,x) =
Functions:
Gamma
f'e-'t'-^dt
T(o,x) =
»
x < = S'(x)
8(x) 2.37
- ,F,(a;
=
dt =
r(a)
1
0
=
<
-
0
S(x)
0
Let
Step Function.
1
Derivative
+ a;
-x)
- 7(a,x)
Error Functions:
=
= =
x*Fi(H;J*; -x«) H»M
- Erf
£,(x)
£<(-x)
=
^"
Exponential and Logarithmic Integrals:
e-T'(i<
=
r(0,x)
x
Erfc
fje-'dl = ^70$,**) «"'' * = Hr(^,x«)
j*
x = x
Erf
>
0
+
8(x
a
+
b)
-
[8(x
2a
dl
= 8(x)
o)
=
-
«(-x)
-
dx = 8(a
8(x) =
of
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/(a)a(x
xi(x) =0
- a')
8(x»
=
_
/
- x)«(x -
i(a
-
b)
J'
/(x)«(x
/_".
"
dx
1
/frw*)
a)
/_".
The following formal formulas may
analysis
Sec. 3-2]
3-95
Sine and Cosine Integrals: si(x) =
-
Ci(x)
llE,(ix) 2i
=
(Z*^±dt J" t
[Xc-^di=\
- ft(-w)] Eii-ix)]
lEt(ix) +
=
W) -£
Second kind:
£(\,fc)
=
»(X,K,fc)
=
/
'*■
=
...
■■■
+
+
ai
of numbers, where
s0 =■ao, »i
= ao
+
Oi,
a„
ai +
a„
n-0 called
a
is
called the sum or value of the series.
arc called the partial
convergent, the limit of the sequence |«„|
If
series with positive terms.
all the terms a„ are such that a, > A
the infinite series
is
If
sn
series whose terms are alternately
is
The numbers
0,
J
ao
+
the sequence |s„j has some convergence property, the infinite series
said to have that convergence property.
>
f
Infinite Series
be an infinite sequence
>
is
\i*F{-HM ;l;fc«)
=
+
3.1
a.-
a,
__ - *')(! - fc*x')]H
«rf(H,«;i^*)
=
- K(k) £(*)
an = o0
if
+ •**)[(!
SERIES AND EXPANSIONS OF FUNCTIONS
3
Let «o, *i, st, and generally
sums.
dx dx
(1
F(l,*)
then
rff
Elliptic Integrals: J?(l,*)
then posi-
a,
called absolutely convergent
if
m
is
An infinite series
called an alternating series. >
tivc and negative
is
0
n=
the series of absolute values
n-o
is
|o»|
convergent.
If
an infinite series
is
0
n=
m >
Generated for wjivans (University of Florida) on 2015-09-23 02:47 GMT / http://hdl.handle.net/2027/mdp.39015011142083 Public Domain, Google-digitized / http://www.hathitrust.org/access_use#pd-google
Complete
_
f
Third kind:
cos
__*_,,
f
First kind:
t-Haintdt
1
Elliptic Integrals:
(2r)-M
r«
^
S(i)
/"*
C(x) = (2»)-M
[X
Fresnel Integrals:
convergent but not absolutely
con-
3-96
MATHEMATICS
[SEC. 3
The following results
vergent, it is called conditionally convergent.
deal primarily DC
The summation symbol 2 by itself will imply
convergence properties.
V
with
.
n =0
A necessary and sufficient condition that the series 3.11 Fundamental Theorem. 2a„ is convergent is that for any c > 0 there exists a number N = N(t) such that for every n > N and every integer m > 1, |s„+m
-
s„|
= |o„+i + a„+i + • • •
+
an+Jt|
< <
3.12 Let 2c„ and 2d„ be two series with positive terms, and Comparison Test. furthermore, let Ze„ converge and 2ri„ diverge. If a„ < c„ for all n greater than some N, then 2a„ converges. If a„ > dn for all n greater than some N, then 2a„ diverges. Root Test. If the series with positive terms 2a„ is such that for all n > N,