Tables of Integrals and Ot,Her Mathematical Data the Macmillan Company New York

Total Page:16

File Type:pdf, Size:1020Kb

Tables of Integrals and Ot,Her Mathematical Data the Macmillan Company New York A Series of Mathematical Texts For Colleges Edited by EARLE RAYMOND HEDRICK TABLES OF INTEGRALS AND OT,HER MATHEMATICAL DATA THE MACMILLAN COMPANY NEW YORK . CHICAGO DALLAS. dTI,ANTh . BAN FRANCISCO LONDON . M*NILA BRETT-MACMILLAN LTD. TORONTO f i i TABLES OF INTEGRALS AND OTHER MATHEMATICAL DATA HERBERT BRISTOL DWIGHT, D.Sc. Professor of Electrical Machinery Massachusetts Insta’tute of Technology THIRD EDITION .New York THE MACMILLAN COMPANY Third Edition @ The Macmillan Company 1957 All rights reserved-no part of this book may be reproduced in any form without permission in writing from the publisher, except by a reviewer who wishes to quote brief passages in connection with a review written for inclusion in magazine or newspaper. Printed in the United States of America Firsl Printing Previous editions copyright, 1934, 1947, by The Marmillan Company Library of Congress catalog card number: 57-7909 PREFACE TO THE FIRST EDITION The first study of any portion of mathematics should not be done from a synopsis of compact results, such as this collection. The references, although they are far from complete, will be helpful, it is hoped, in showing where the derivation of the results is given or where further similar results may be found. A list of numbered references is given at the end of the book. These are referred to in the text as “Ref. 7, p. 32,” etc., the page num- ber being that of the publication to which reference is made. Letters are considered to represent real quantities unless other- wise stated. Where the square root of a quantity is indicated, the positive value is to be taken, unless otherwise indicated. Two vertical lines enclosing a quantity represent the absolute or numerical value of that quantity, that is, the modulus of the quantity. The absolute value is a positive quantity. Thus, log I- 31 = log 3. The constant of integration is to be understood after each integral. The integrals may usually be checked by differentiat- ing. In algebraic expressions, the symbol log represents natural or Napierian logarithms, that is, logarithms to the base e. When any other base is intended, it will be indicated in the usual .~ manner. When an integral contains the logarithm of a certain quantity, integration should not be carried from a negative to a positive value of that quantity. If the quantity is negative, the logarithm of the absolute value of the quantity may be used, since log (- 1) = (2k + 1) ?ri will be part of the constant of integration (see 409.03). Accordingly, in many cases, the loga- rithm of an absolute value is shown, in giving an integral, so as to indicate that it applies to real values, both positive and negative. Inverse trigonometric functions are to be understood as refer- ring to the principal values. Suggestions and criticisms as to the material of this book and as to errors that may be in it, will be welcomed. v vi PREFACE The author desires to acknowledge valuable suggestions from Professors P. Franklin, W. H. Timbie, L. F. Woodruff, and F. S. Woods, of Massachusetts Institute of Technology. H. B. DWIGHT. CAMBRIDGE, MASS. December, 1933. PREFACE TO THE SECOND EDITION A considerable number of items have been added, including groups of integrals involving (ax2 + 62~ + fP2, r+kx and a + l cos 2 ) also additional material on inverse functions of complex quanti- ties and on Bessel functions. A probability integral table (No. 1045) has been included. It is desired to express appreciation for valuable suggestions from Professor Wm. R. Smythe of California Institute of Tech- nology and for the continued help and interest of Professor Philip Franklin of the Department of Mathematics, Massachusetts In- stitute of Technology. HERBERT B. DWIGHT. CAMBRIDGE, MASS. PREFACE TO THE THIRD EDITION In this edition, items 59.1 and 59.2 on determinants have been added. The group (No. 512) of derivatives of inverse trigo- nometric functions has been made more complete. On page 271 material is given, suggested by Dr. Rose M. Ring, which extends the tables of ez and e-z considerably, and is convenient when a calculating machine is used. Tables 1015 and 1016 of trigonometric functions of hundredths of degrees are given in this edition on pages 220 to 257. When calculating machines are used, the angles of a problem are PREFACE vii usually given in decimals. A great many trigonometric formulas involve addition of angles or multiplication of them by some quantity, and even when the angles are given in degrees, minutes, and seconds, to change the values to decimals of a degree gives the advantages that are always afforded by a decimal system compared with older and more awkward units. In such cases, the tables in hundredths of degrees are advantageous. HERBERT B. DWIGHT LEXINGTON, MASS. 38 RATIONAL ALGEBRAIC FUNCTIONS Integrals Involving Crrf x4 170. - dX x2 + ax42 + a2 s a4 + x4 x2 - ax42 + a2 1 ax42 -0 + 275&j$j tJan-l a2 _ x2 x dx 170.1. - = s a4 + x4 x2dx x2 + ax42 + a2 170.2. - = - &kx2 s a4 + x4 - ax42 + a2 1 -. ax42 + -2 tan-’ ($2 - x2 x3dx 170.3. - = a log (a” + x4), s a4 + x4 x3dx 171.3. - = - alog Ia4 - x41. s a4 - x4 dx 173. = -&og Zm . s x(a + bxm) I a + bxm I CONTENTS ITEMwo. P&m 1. ALGEBRAIC FUNCTIONS. ............................... 1 60. Algebraic Functions-Derivatives. ..................... 14 80. Rational Algebraic Functions-Integrals. ............... 16 180. Irrational Algebraic Functions-Integrals. ............... 39 400. TRIGONOMETRIC FUNCTIONS. ........................... 73 427. Trigonometric Functions-Derivatives. ................. 87 429. Trigonometric Functions-Integrals. ................... 87 500. INVERSE TRIGONOMETRIC FUNCTIONS. ................... 112 512. Inverse Trigonometric Functions-Derivatives. .......... 115 515. Inverse Trigonometric Functions-Integrals. ............ 116 550. EXPONENTIAL FUNCTIONS. ............................. 125 563. Exponential Functions-Derivatives. ................... 126 565. Exponential Functions-Integrals. ..................... 126 585. PROBABILITY INTEGRALS. .............................. 129 600. LOGARITHMIC FUNCTIONS. ............................. 130 610. Logarithmic Functions-Integrals. ..................... 133 650. HYPERBOLIC FUNCTIONS. .............................. 143 667. Hyperbolic Functions-Derivatives. .................... 146 670. Hyperbolic Functions-Integrals. ...................... 147 700. INVERSE HYPERBOLIC FUNCTIONS. ...................... 156 728. Inverse Hyperbolic Functions-Derivatives. ............. 160 730. Inverse Hyperbolic Functions-Integrals. ............... 160 750. ELLIPTIC FUNCTIONS. ......................... 168 768. Elliptic Functions-Derivatives. ............... 170 770. Elliptic Functions-Integrals. ................. 170 800. BESSEL FUNCTIONS. .......................... 174 835. Bessel Functions-Integrals. ................... 191 840. SURFACE ZONAL HARMONICS. .................. 192 850. DEFINITE INTEGRALS. ........................ 194 890. DIFFERENTIAL EQUATIONS. ............................ 204 ix CONTENTS APPENDIX PAGE A. TABLES OF NUMERICAL VALUES ............................ 209 TABLE 1000. Values of du2 + b2/a ............................. 210 1005. Gamma Function ................................. 212 1010. Trigonometric Functions (Degrees and Minutes). .... 213 1011. Degrees, Minutes, and Seconds to Radians. ......... 218 1012. Radians to Degrees, Minutes, and Seconds........... 219 1015. Trigonometric Functions: Sin and Cos of Hundredths of Degrees ....................................... 220 1016. Trigonometric Functions: Tan and Cot of Hundredths of Degrees ....................................... 238 1020. Logarithms to Base 10. ........................... 258 1025. Natural Logarithms ............................... 260 1030. Exponential and Hyperbolic Functions .............. 264 1040. Complete Elliptic Integrals of the First Kind. ....... 272 1041. Complete Elliptic Integrals of the Second Kind. ..... 274 1045. Normal Probability Integral. ...................... 275 1050. Bessel Functions. ................................. 276 1060. Some Numerical Constants. ....................... 283 1070. Greek Alphabet .................................. 283 B. REFERENCES ............................................. 284 INDEX..................................................... 287 TABLES OF INTEGRALS AND OTHER MATHEMATICAL DATA . TABLES OF INTEGRALS AND OTHER MATHEMATICAL DATA ALGEBRAIC FUNCTIONS n(n - l)(n - 2) ti I. (1 + a$” = 1 + nx +@2, - llx2 + 31 . nl + + (n - qrtX' + -*** Note that, here and elsewhere, we take O! = 1. If n is a positive integer, the expression consists of a finite number of terms. If n is not a positive integer, the series is convergent for 1” < 1; and if n > 0, the series is con- vergent also for x2 = 1. mef. 21, p. 88.1 2. The coefficient of z+ in No. 1 is denoted by : or ,C,. 0 Values are given in the following table. TABLE OF BINOMIAL COEFFICIENTS ,C;: Values of n in left column; values of T in top row oll 2 3 4 5 ===,=r=zwm=-----===,=Yzzzwm=-----1 +p+p“i’p-pq i :1 ii N.B. Sum of any two adja- i 1 cent numbers in sameame row is 4 : 2 6 equal to number just below 5 1;: i the right-hand one of them. x :: 20 t 7t : ;fl 21ii 3556 l%itz 126:A ii:: t3 1 10 1 10 45 1% 2io 252 210 13260 4: 1: 1 For a large table see Ref. 59, v. 1, second section, p. 69. n(n -- 1) n(n - l)(n - 2) ~ 3. (1 - x)* = 1 - nx + -2r x2 - 3! + . + (-- l)r(n f&!” + -**- [See Table 2 and note under No. 1.1 4. (a&x)“=al(l*gn. 1 2 ALGEBRAIC FUNCTIONS 4.2. (1 f z)~ = 1 f 2x + x2. , 4.3. (1 f x)3 = 1 f 3x + 3x2 f 2. 4.4. (1 f x)” = 1 f 4x + 6x2 f 4d + 9, and so forth, using coefficients from Table 2. 5.1. [x2 2 11. 5.2. [x” 5 11. 5.3. (1&4”2 y *ix -LAx2* !A29 2-4-6 [x2 5 11. 5.4. (1fx)~‘~=1*;x+~x+$-6za + g#?+ =F ;..&.!.gy&+ + - * *, [x2 s 11. 5.5. (1 *zy2 = 1 *;x + [x2 5 11. 6. (1 + gp = 1 - nx + “‘n2T 1) $2 _ n(n + 13)r(n + 2) $3 (n+r-l)! . + *-- + (- 1)’ @, _ l)ir! xr + -**> [x2 < 11. 7. (1 _ x)-?a = 1 + nx + n(n2t 1) ,&2 + n(n + ‘,‘1” + 2) $3 . +(n+T’-l)!xr+ . + (72 - l)! r! [x2 < 1-J. 8. (a f x)d = u-n (1 f y, [x2 < a2]. SERIES AND FORMULAS 3 1.5.9.13 tiT . [z” < 11. + 4.8.12.16 1.4.7$ 9.02. (l&z)““=lr;x+~PT- 3.6.9 cs < a [a9 < 11. [a+ < 11. [a+ < 11. 9.06. (1 f z)+ =1=1=2~+3a+~2@+5ti=i=.*., [39 < 13.
Recommended publications
  • 18.01A Topic 5: Second Fundamental Theorem, Lnx As an Integral. Read
    18.01A Topic 5: Second fundamental theorem, ln x as an integral. Read: SN: PI, FT. 0 R b b First Fundamental Theorem: F = f ⇒ a f(x) dx = F (x)|a Questions: 1. Why dx? 2. Given f(x) does F (x) always exist? Answer to question 1. Pn R b a) Riemann sum: Area ≈ 1 f(ci)∆x → a f(x) dx In the limit the sum becomes an integral and the finite ∆x becomes the infinitesimal dx. b) The dx helps with change of variable. a b 1 Example: Compute R √ 1 dx. 0 1−x2 Let x = sin u. dx du = cos u ⇒ dx = cos u du, x = 0 ⇒ u = 0, x = 1 ⇒ u = π/2. 1 π/2 π/2 π/2 R √ 1 R √ 1 R cos u R Substituting: 2 dx = cos u du = du = du = π/2. 0 1−x 0 1−sin2 u 0 cos u 0 Answer to question 2. Yes → Second Fundamental Theorem: Z x If f is continuous and F (x) = f(u) du then F 0(x) = f(x). a I.e. f always has an anit-derivative. This is subtle: we have defined a NEW function F (x) using the definite integral. Note we needed a dummy variable u for integration because x was already taken. Z x+∆x f(x) proof: ∆area = f(x) dx 44 4 x Z x+∆x Z x o area = ∆F = f(x) dx − f(x) dx 0 0 = F (x + ∆x) − F (x) = ∆F. x x + ∆x ∆F But, also ∆area ≈ f(x) ∆x ⇒ ∆F ≈ f(x) ∆x or ≈ f(x).
    [Show full text]
  • The Enigmatic Number E: a History in Verse and Its Uses in the Mathematics Classroom
    To appear in MAA Loci: Convergence The Enigmatic Number e: A History in Verse and Its Uses in the Mathematics Classroom Sarah Glaz Department of Mathematics University of Connecticut Storrs, CT 06269 [email protected] Introduction In this article we present a history of e in verse—an annotated poem: The Enigmatic Number e . The annotation consists of hyperlinks leading to biographies of the mathematicians appearing in the poem, and to explanations of the mathematical notions and ideas presented in the poem. The intention is to celebrate the history of this venerable number in verse, and to put the mathematical ideas connected with it in historical and artistic context. The poem may also be used by educators in any mathematics course in which the number e appears, and those are as varied as e's multifaceted history. The sections following the poem provide suggestions and resources for the use of the poem as a pedagogical tool in a variety of mathematics courses. They also place these suggestions in the context of other efforts made by educators in this direction by briefly outlining the uses of historical mathematical poems for teaching mathematics at high-school and college level. Historical Background The number e is a newcomer to the mathematical pantheon of numbers denoted by letters: it made several indirect appearances in the 17 th and 18 th centuries, and acquired its letter designation only in 1731. Our history of e starts with John Napier (1550-1617) who defined logarithms through a process called dynamical analogy [1]. Napier aimed to simplify multiplication (and in the same time also simplify division and exponentiation), by finding a model which transforms multiplication into addition.
    [Show full text]
  • Introduction to Analytic Number Theory the Riemann Zeta Function and Its Functional Equation (And a Review of the Gamma Function and Poisson Summation)
    Math 229: Introduction to Analytic Number Theory The Riemann zeta function and its functional equation (and a review of the Gamma function and Poisson summation) Recall Euler’s identity: ∞ ∞ X Y X Y 1 [ζ(s) :=] n−s = p−cps = . (1) 1 − p−s n=1 p prime cp=0 p prime We showed that this holds as an identity between absolutely convergent sums and products for real s > 1. Riemann’s insight was to consider (1) as an identity between functions of a complex variable s. We follow the curious but nearly universal convention of writing the real and imaginary parts of s as σ and t, so s = σ + it. We already observed that for all real n > 0 we have |n−s| = n−σ, because n−s = exp(−s log n) = n−σe−it log n and e−it log n has absolute value 1; and that both sides of (1) converge absolutely in the half-plane σ > 1, and are equal there either by analytic continuation from the real ray t = 0 or by the same proof we used for the real case. Riemann showed that the function ζ(s) extends from that half-plane to a meromorphic function on all of C (the “Riemann zeta function”), analytic except for a simple pole at s = 1. The continuation to σ > 0 is readily obtained from our formula ∞ ∞ 1 X Z n+1 X Z n+1 ζ(s) − = n−s − x−s dx = (n−s − x−s) dx, s − 1 n=1 n n=1 n since for x ∈ [n, n + 1] (n ≥ 1) and σ > 0 we have Z x −s −s −1−s −1−σ |n − x | = s y dy ≤ |s|n n so the formula for ζ(s) − (1/(s − 1)) is a sum of analytic functions converging absolutely in compact subsets of {σ + it : σ > 0} and thus gives an analytic function there.
    [Show full text]
  • Elementary Functions: Towards Automatically Generated, Efficient
    Elementary functions : towards automatically generated, efficient, and vectorizable implementations Hugues De Lassus Saint-Genies To cite this version: Hugues De Lassus Saint-Genies. Elementary functions : towards automatically generated, efficient, and vectorizable implementations. Other [cs.OH]. Université de Perpignan, 2018. English. NNT : 2018PERP0010. tel-01841424 HAL Id: tel-01841424 https://tel.archives-ouvertes.fr/tel-01841424 Submitted on 17 Jul 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Délivré par l’Université de Perpignan Via Domitia Préparée au sein de l’école doctorale 305 – Énergie et Environnement Et de l’unité de recherche DALI – LIRMM – CNRS UMR 5506 Spécialité: Informatique Présentée par Hugues de Lassus Saint-Geniès [email protected] Elementary functions: towards automatically generated, efficient, and vectorizable implementations Version soumise aux rapporteurs. Jury composé de : M. Florent de Dinechin Pr. INSA Lyon Rapporteur Mme Fabienne Jézéquel MC, HDR UParis 2 Rapporteur M. Marc Daumas Pr. UPVD Examinateur M. Lionel Lacassagne Pr. UParis 6 Examinateur M. Daniel Menard Pr. INSA Rennes Examinateur M. Éric Petit Ph.D. Intel Examinateur M. David Defour MC, HDR UPVD Directeur M. Guillaume Revy MC UPVD Codirecteur À la mémoire de ma grand-mère Françoise Lapergue et de Jos Perrot, marin-pêcheur bigouden.
    [Show full text]
  • Applications of the Exponential and Natural Logarithm Functions
    M06_GOLD7774_14_SE_C05.indd Page 254 09/11/16 7:31 PM localadmin /202/AW00221/9780134437774_GOLDSTEIN/GOLDSTEIN_CALCULUS_AND_ITS_APPLICATIONS_14E1 ... FOR REVIEW BY POTENTIAL ADOPTERS ONLY chapter 5SAMPLE Applications of the Exponential and Natural Logarithm Functions 5.1 Exponential Growth and Decay 5.4 Further Exponential Models 5.2 Compound Interest 5.3 Applications of the Natural Logarithm Function to Economics n Chapter 4, we introduced the exponential function y = ex and the natural logarithm Ifunction y = ln x, and we studied their most important properties. It is by no means clear that these functions have any substantial connection with the physical world. How- ever, as this chapter will demonstrate, the exponential and natural logarithm functions are involved in the study of many physical problems, often in a very curious and unex- pected way. 5.1 Exponential Growth and Decay Exponential Growth You walk into your kitchen one day and you notice that the overripe bananas that you left on the counter invited unwanted guests: fruit flies. To take advantage of this pesky situation, you decide to study the growth of the fruit flies colony. It didn’t take you too FOR REVIEW long to make your first observation: The colony is increasing at a rate that is propor- tional to its size. That is, the more fruit flies, the faster their number grows. “The derivative is a rate To help us model this population growth, we introduce some notation. Let P(t) of change.” See Sec. 1.7, denote the number of fruit flies in your kitchen, t days from the moment you first p.
    [Show full text]
  • Generating Highly Accurate Values for All Trigonometric Functions
    GENERATING HIGHLY ACCURATE VALUES FOR ALL TRIGONOMETRIC FUNCTIONS INTRODUCTION: Although hand calculators and electronic computers have pretty much eliminated the need for trigonometric tables starting about sixty years ago, this was not the case back during WWII when highly accurate trigonometric tables were vital for the calculation of projectile trajectories. At that time a good deal of the war effort in mathematics was devoted to building ever more accurate trig tables some ranging up to twenty digit numerical accuracy. Today such efforts can be considered to have been a waste of time, although they were not so at the time. It is our purpose in this note to demonstrate a new approach for quickly obtaining values for all trigonometric functions exceeding anything your hand calculator can achieve. BASIC TRIGNOMETRIC FUNCTIONS: We begin by defining all six basic trigonometric functions by looking at the following right triangle- The sides a,b, and c of this triangle satisfy the Pythagorean Theorem- a2+b2=c2 we define the six trig functions in terms of this triangle as- sin()=b/c cos( )=a/c tan()=b/a csc()=c/b sec()=c/a) cot()=b/a From Pythagorous we also have at once that – 1 sin( )2 cos( )2 1 and [1 tan( )2 ] . cos( )2 It was the ancient Egyptian pyramid builders who first realized that the most important of these trigonometric functions is tan(). Their measure of this tangent was given in terms of sekels, where 1 sekhel=7. Converting each of the above trig functions into functions of tan() yields- tan( ) 1 sin( ) cos( ) tan( ) tan( ) 1 tan( )2 1 tan( )2 1 tan( )2 1 csc( ) sec( ) 1 tan( )2 cot( ) tan( ) tan( ) In using these equivalent definitions one must be careful of signs and infinities appearing in the approximations to tan().
    [Show full text]
  • INTEGRALS of POWERS of LOGGAMMA 1. Introduction The
    PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 139, Number 2, February 2011, Pages 535–545 S 0002-9939(2010)10589-0 Article electronically published on August 18, 2010 INTEGRALS OF POWERS OF LOGGAMMA TEWODROS AMDEBERHAN, MARK W. COFFEY, OLIVIER ESPINOSA, CHRISTOPH KOUTSCHAN, DANTE V. MANNA, AND VICTOR H. MOLL (Communicated by Ken Ono) Abstract. Properties of the integral of powers of log Γ(x) from 0 to 1 are con- sidered. Analytic evaluations for the first two powers are presented. Empirical evidence for the cubic case is discussed. 1. Introduction The evaluation of definite integrals is a subject full of interconnections of many parts of mathematics. Since the beginning of Integral Calculus, scientists have developed a large variety of techniques to produce magnificent formulae. A partic- ularly beautiful formula due to J. L. Raabe [12] is 1 Γ(x + t) (1.1) log √ dx = t log t − t, for t ≥ 0, 0 2π which includes the special case 1 √ (1.2) L1 := log Γ(x) dx =log 2π. 0 Here Γ(x)isthegamma function defined by the integral representation ∞ (1.3) Γ(x)= ux−1e−udu, 0 for Re x>0. Raabe’s formula can be obtained from the Hurwitz zeta function ∞ 1 (1.4) ζ(s, q)= (n + q)s n=0 via the integral formula 1 t1−s (1.5) ζ(s, q + t) dq = − 0 s 1 coupled with Lerch’s formula ∂ Γ(q) (1.6) ζ(s, q) =log √ . ∂s s=0 2π An interesting extension of these formulas to the p-adic gamma function has recently appeared in [3].
    [Show full text]
  • A Dual-Purpose Real/Complex Logarithmic Number System ALU
    A Dual-Purpose Real/Complex Logarithmic Number System ALU Mark G. Arnold Sylvain Collange Computer Science and Engineering ELIAUS Lehigh University Universite´ de Perpignan Via Domitia [email protected] [email protected] Abstract—The real Logarithmic Number System (LNS) allows advantages to using logarithmic arithmetic to represent <[X¯] fast and inexpensive multiplication and division but more expen- and =[X¯]. Several hundred papers [26] have considered con- sive addition and subtraction as precision increases. Recent ad- ventional, real-valued LNS; most have found some advantages vances in higher-order and multipartite table methods, together with cotransformation, allow real LNS ALUs to be implemented for low-precision implementation of multiply-rich algorithms, effectively on FPGAs for a wide variety of medium-precision like (1) and (2). special-purpose applications. The Complex LNS (CLNS) is a This paper considers an even more specialized number generalization of LNS which represents complex values in log- system in which complex values are represented in log-polar polar form. CLNS is a more compact representation than coordinates. The advantage is that the cost of complex multi- traditional rectangular methods, reducing the cost of busses and memory in intensive complex-number applications like the plication and division is reduced even more than in rectangular FFT; however, prior CLNS implementations were either slow LNS at the cost of a very complicated addition algorithm. CORDIC-based or expensive 2D-table-based approaches. This This paper proposes a novel approach to reduce the cost of paper attempts to leverage the recent advances made in real- this log-polar addition algorithm by using a conventional real- valued LNS units for the more specialized context of CLNS.
    [Show full text]
  • Calculus Terminology
    AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential
    [Show full text]
  • Sums of Powers and the Bernoulli Numbers Laura Elizabeth S
    Eastern Illinois University The Keep Masters Theses Student Theses & Publications 1996 Sums of Powers and the Bernoulli Numbers Laura Elizabeth S. Coen Eastern Illinois University This research is a product of the graduate program in Mathematics and Computer Science at Eastern Illinois University. Find out more about the program. Recommended Citation Coen, Laura Elizabeth S., "Sums of Powers and the Bernoulli Numbers" (1996). Masters Theses. 1896. https://thekeep.eiu.edu/theses/1896 This is brought to you for free and open access by the Student Theses & Publications at The Keep. It has been accepted for inclusion in Masters Theses by an authorized administrator of The Keep. For more information, please contact [email protected]. THESIS REPRODUCTION CERTIFICATE TO: Graduate Degree Candidates (who have written formal theses) SUBJECT: Permission to Reproduce Theses The University Library is rece1v1ng a number of requests from other institutions asking permission to reproduce dissertations for inclusion in their library holdings. Although no copyright laws are involved, we feel that professional courtesy demands that permission be obtained from the author before we allow theses to be copied. PLEASE SIGN ONE OF THE FOLLOWING STATEMENTS: Booth Library of Eastern Illinois University has my permission to lend my thesis to a reputable college or university for the purpose of copying it for inclusion in that institution's library or research holdings. u Author uate I respectfully request Booth Library of Eastern Illinois University not allow my thesis
    [Show full text]
  • Approximation of Logarithm, Factorial and Euler- Mascheroni Constant Using Odd Harmonic Series
    Mathematical Forum ISSN: 0972-9852 Vol.28(2), 2020 APPROXIMATION OF LOGARITHM, FACTORIAL AND EULER- MASCHERONI CONSTANT USING ODD HARMONIC SERIES Narinder Kumar Wadhawan1and Priyanka Wadhawan2 1Civil Servant,Indian Administrative Service Now Retired, House No.563, Sector 2, Panchkula-134112, India 2Department Of Computer Sciences, Thapar Institute Of Engineering And Technology, Patiala-144704, India, now Program Manager- Space Management (TCS) Walgreen Co. 304 Wilmer Road, Deerfield, Il. 600015 USA, Email :[email protected],[email protected] Received on: 24/09/ 2020 Accepted on: 16/02/ 2021 Abstract We have proved in this paper that natural logarithm of consecutive numbers ratio, x/(x-1) approximatesto 2/(2x - 1) where x is a real number except 1. Using this relation, we, then proved, x approximates to double the sum of odd harmonic series having first and last terms 1/3 and 1/(2x - 1) respectively. Thereafter, not limiting to consecutive numbers ratios, we extended its applicability to all the real numbers. Based on these relations, we, then derived a formula for approximating the value of Factorial x.We could also approximate the value of Euler-Mascheroni constant. In these derivations, we used only and only elementary functions, thus this paper is easily comprehensible to students and scholars alike. Keywords:Numbers, Approximation, Building Blocks, Consecutive Numbers Ratios, NaturalLogarithm, Factorial, Euler Mascheroni Constant, Odd Numbers Harmonic Series. 2010 AMS classification:Number Theory 11J68, 11B65, 11Y60 125 Narinder Kumar Wadhawan and Priyanka Wadhawan 1. Introduction By applying geometric approach, Leonhard Euler, in the year 1748, devised methods of determining natural logarithm of a number [2].
    [Show full text]
  • Notes on Riemann's Zeta Function
    NOTES ON RIEMANN’S ZETA FUNCTION DRAGAN MILICIˇ C´ 1. Gamma function 1.1. Definition of the Gamma function. The integral ∞ Γ(z)= tz−1e−tdt Z0 is well-defined and defines a holomorphic function in the right half-plane {z ∈ C | Re z > 0}. This function is Euler’s Gamma function. First, by integration by parts ∞ ∞ ∞ Γ(z +1)= tze−tdt = −tze−t + z tz−1e−t dt = zΓ(z) Z0 0 Z0 for any z in the right half-plane. In particular, for any positive integer n, we have Γ(n) = (n − 1)Γ(n − 1)=(n − 1)!Γ(1). On the other hand, ∞ ∞ Γ(1) = e−tdt = −e−t = 1; Z0 0 and we have the following result. 1.1.1. Lemma. Γ(n) = (n − 1)! for any n ∈ Z. Therefore, we can view the Gamma function as a extension of the factorial. 1.2. Meromorphic continuation. Now we want to show that Γ extends to a meromorphic function in C. We start with a technical lemma. Z ∞ 1.2.1. Lemma. Let cn, n ∈ +, be complex numbers such such that n=0 |cn| converges. Let P S = {−n | n ∈ Z+ and cn 6=0}. Then ∞ c f(z)= n z + n n=0 X converges absolutely for z ∈ C − S and uniformly on bounded subsets of C − S. The function f is a meromorphic function on C with simple poles at the points in S and Res(f, −n)= cn for any −n ∈ S. 1 2 D. MILICIˇ C´ Proof. Clearly, if |z| < R, we have |z + n| ≥ |n − R| for all n ≥ R.
    [Show full text]