A Note on the 2F1 Hypergeometric Function
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Sequences and Series Pg. 1
Sequences and Series Exercise Find the first four terms of the sequence 3 1, 1, 2, 3, . [Answer: 2, 5, 8, 11] Example Let be the sequence defined by 2, 1, and 21 13 2 for 0,1,2,, find and . Solution: (k = 0) 21 13 2 2 2 3 (k = 1) 32 24 2 6 2 8 ⁄ Exercise Without using a calculator, find the first 4 terms of the recursively defined sequence • 5, 2 3 [Answer: 5, 7, 11, 19] • 4, 1 [Answer: 4, , , ] • 2, 3, [Answer: 2, 3, 5, 8] Example Evaluate ∑ 0.5 and round your answer to 5 decimal places. ! Solution: ∑ 0.5 ! 0.5 0.5 0.5 ! ! ! 0.5 0.5 ! ! 0.5 0.5 0.5 0.5 0.5 0.5 0.041666 0.003125 0.000186 0.000009 . Exercise Find and evaluate each of the following sums • ∑ [Answer: 225] • ∑ 1 5 [Answer: 521] pg. 1 Sequences and Series Arithmetic Sequences an = an‐1 + d, also an = a1 + (n – 1)d n S = ()a +a n 2 1 n Exercise • For the arithmetic sequence 4, 7, 10, 13, (a) find the 2011th term; [Answer: 6,034] (b) which term is 295? [Answer: 98th term] (c) find the sum of the first 750 terms. [Answer: 845,625] rd th • The 3 term of an arithmetic sequence is 8 and the 16 term is 47. Find and d and construct the sequence. [Answer: 2,3;the sequence is 2,5,8,11,] • Find the sum of the first 800 natural numbers. [Answer: 320,400] • Find the sum ∑ 4 5. -
Tsinghua Lectures on Hypergeometric Functions (Unfinished and Comments Are Welcome)
Tsinghua Lectures on Hypergeometric Functions (Unfinished and comments are welcome) Gert Heckman Radboud University Nijmegen [email protected] December 8, 2015 1 Contents Preface 2 1 Linear differential equations 6 1.1 Thelocalexistenceproblem . 6 1.2 Thefundamentalgroup . 11 1.3 The monodromy representation . 15 1.4 Regular singular points . 17 1.5 ThetheoremofFuchs .. .. .. .. .. .. 23 1.6 TheRiemann–Hilbertproblem . 26 1.7 Exercises ............................. 33 2 The Euler–Gauss hypergeometric function 39 2.1 The hypergeometric function of Euler–Gauss . 39 2.2 The monodromy according to Schwarz–Klein . 43 2.3 The Euler integral revisited . 49 2.4 Exercises ............................. 52 3 The Clausen–Thomae hypergeometric function 55 3.1 The hypergeometric function of Clausen–Thomae . 55 3.2 The monodromy according to Levelt . 62 3.3 The criterion of Beukers–Heckman . 66 3.4 Intermezzo on Coxeter groups . 71 3.5 Lorentzian Hypergeometric Groups . 75 3.6 Prime Number Theorem after Tchebycheff . 87 3.7 Exercises ............................. 93 2 Preface The Euler–Gauss hypergeometric function ∞ α(α + 1) (α + k 1)β(β + 1) (β + k 1) F (α, β, γ; z) = · · · − · · · − zk γ(γ + 1) (γ + k 1)k! Xk=0 · · · − was introduced by Euler in the 18th century, and was well studied in the 19th century among others by Gauss, Riemann, Schwarz and Klein. The numbers α, β, γ are called the parameters, and z is called the variable. On the one hand, for particular values of the parameters this function appears in various problems. For example α (1 z)− = F (α, 1, 1; z) − arcsin z = 2zF (1/2, 1, 3/2; z2 ) π K(z) = F (1/2, 1/2, 1; z2 ) 2 α(α + 1) (α + n) 1 z P (α,β)(z) = · · · F ( n, α + β + n + 1; α + 1 − ) n n! − | 2 with K(z) the Jacobi elliptic integral of the first kind given by 1 dx K(z)= , Z0 (1 x2)(1 z2x2) − − p (α,β) and Pn (z) the Jacobi polynomial of degree n, normalized by α + n P (α,β)(1) = . -
The Binomial Series 16.3
The Binomial Series 16.3 Introduction In this Section we examine an important example of an infinite series, the binomial series: p(p − 1) p(p − 1)(p − 2) 1 + px + x2 + x3 + ··· 2! 3! We show that this series is only convergent if |x| < 1 and that in this case the series sums to the value (1 + x)p. As a special case of the binomial series we consider the situation when p is a positive integer n. In this case the infinite series reduces to a finite series and we obtain, by replacing x with b , the binomial theorem: a n(n − 1) (b + a)n = bn + nbn−1a + bn−2a2 + ··· + an. 2! Finally, we use the binomial series to obtain various polynomial expressions for (1 + x)p when x is ‘small’. ' • understand the factorial notation $ Prerequisites • have knowledge of the ratio test for convergence of infinite series. Before starting this Section you should ... • understand the use of inequalities '& • recognise and use the binomial series $% Learning Outcomes • state and use the binomial theorem On completion you should be able to ... • use the binomial series to obtain numerical approximations & % 26 HELM (2008): Workbook 16: Sequences and Series ® 1. The binomial series A very important infinite series which occurs often in applications and in algebra has the form: p(p − 1) p(p − 1)(p − 2) 1 + px + x2 + x3 + ··· 2! 3! in which p is a given number and x is a variable. By using the ratio test it can be shown that this series converges, irrespective of the value of p, as long as |x| < 1. -
Polar Coordinates and Complex Numbers Infinite Series Vectors And
Contents CHAPTER 9 Polar Coordinates and Complex Numbers 9.1 Polar Coordinates 348 9.2 Polar Equations and Graphs 351 9.3 Slope, Length, and Area for Polar Curves 356 9.4 Complex Numbers 360 CHAPTER 10 Infinite Series 10.1 The Geometric Series 10.2 Convergence Tests: Positive Series 10.3 Convergence Tests: All Series 10.4 The Taylor Series for ex, sin x, and cos x 10.5 Power Series CHAPTER 11 Vectors and Matrices 11.1 Vectors and Dot Products 11.2 Planes and Projections 11.3 Cross Products and Determinants 11.4 Matrices and Linear Equations 11.5 Linear Algebra in Three Dimensions CHAPTER 12 Motion along a Curve 12.1 The Position Vector 446 12.2 Plane Motion: Projectiles and Cycloids 453 12.3 Tangent Vector and Normal Vector 459 12.4 Polar Coordinates and Planetary Motion 464 CHAPTER 13 Partial Derivatives 13.1 Surfaces and Level Curves 472 13.2 Partial Derivatives 475 13.3 Tangent Planes and Linear Approximations 480 13.4 Directional Derivatives and Gradients 490 13.5 The Chain Rule 497 13.6 Maxima, Minima, and Saddle Points 504 13.7 Constraints and Lagrange Multipliers 514 CHAPTER Infinite Series Infinite series can be a pleasure (sometimes). They throw a beautiful light on sin x and cos x. They give famous numbers like n and e. Usually they produce totally unknown functions-which might be good. But on the painful side is the fact that an infinite series has infinitely many terms. It is not easy to know the sum of those terms. -
Transformation Formulas for the Generalized Hypergeometric Function with Integral Parameter Differences
CORE Metadata, citation and similar papers at core.ac.uk Provided by Abertay Research Portal Transformation formulas for the generalized hypergeometric function with integral parameter differences A. R. Miller Formerly Professor of Mathematics at George Washington University, 1616 18th Street NW, No. 210, Washington, DC 20009-2525, USA [email protected] and R. B. Paris Division of Complex Systems, University of Abertay Dundee, Dundee DD1 1HG, UK [email protected] Abstract Transformation formulas of Euler and Kummer-type are derived respectively for the generalized hypergeometric functions r+2Fr+1(x) and r+1Fr+1(x), where r pairs of numeratorial and denominatorial parameters differ by positive integers. Certain quadratic transformations for the former function, as well as a summation theorem when x = 1, are also considered. Mathematics Subject Classification: 33C15, 33C20 Keywords: Generalized hypergeometric function, Euler transformation, Kummer trans- formation, Quadratic transformations, Summation theorem, Zeros of entire functions 1. Introduction The generalized hypergeometric function pFq(x) may be defined for complex parameters and argument by the series 1 k a1; a2; : : : ; ap X (a1)k(a2)k ::: (ap)k x pFq x = : (1.1) b1; b2; : : : ; bq (b1)k(b2)k ::: (bq)k k! k=0 When q = p this series converges for jxj < 1, but when q = p − 1 convergence occurs when jxj < 1. However, when only one of the numeratorial parameters aj is a negative integer or zero, then the series always converges since it is simply a polynomial in x of degree −aj. In (1.1) the Pochhammer symbol or ascending factorial (a)k is defined by (a)0 = 1 and for k ≥ 1 by (a)k = a(a + 1) ::: (a + k − 1). -
A Tentative Interpretation of the Epistemological Significance of the Encrypted Message Sent by Newton to Leibniz in October 1676
Advances in Historical Studies 2014. Vol.3, No.1, 22-32 Published Online February 2014 in SciRes (http://www.scirp.org/journal/ahs) http://dx.doi.org/10.4236/ahs.2014.31004 A Tentative Interpretation of the Epistemological Significance of the Encrypted Message Sent by Newton to Leibniz in October 1676 Jean G. Dhombres Centre Alexandre Koyré-Ecole des Hautes Etudes en Sciences Sociales, Paris, France Email: [email protected] Received October 8th, 2013; revised November 9th, 2013; accepted November 16th, 2013 Copyright © 2014 Jean G. Dhombres. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In accordance of the Creative Commons Attribution License all Copyrights © 2014 are reserved for SCIRP and the owner of the intellectual property Jean G. Dhombres. All Copyright © 2014 are guarded by law and by SCIRP as a guardian. In Principia mathematica philosophiæ naturalis (1687), with regard to binomial formula and so general Calculus, Newton claimed that Leibniz proposed a similar procedure. As usual within Newtonian style, no explanation was provided on that, and nowadays it could only be decoded by Newton himself. In fact to the point, not even he gave up any mention of Leibniz in 1726 on the occasion of the third edition of the Principia. In this research, I analyse this controversy comparing the encrypted passages, and I will show that at least two ideas were proposed: vice versa and the algebraic handing of series. Keywords: Leibniz; Newton; Calculus Principia; Binomial Series; Controversy; Vice Versa Introduction tober 1676 to Leibniz. -
Calculus Online Textbook Chapter 10
Contents CHAPTER 9 Polar Coordinates and Complex Numbers 9.1 Polar Coordinates 348 9.2 Polar Equations and Graphs 351 9.3 Slope, Length, and Area for Polar Curves 356 9.4 Complex Numbers 360 CHAPTER 10 Infinite Series 10.1 The Geometric Series 10.2 Convergence Tests: Positive Series 10.3 Convergence Tests: All Series 10.4 The Taylor Series for ex, sin x, and cos x 10.5 Power Series CHAPTER 11 Vectors and Matrices 11.1 Vectors and Dot Products 11.2 Planes and Projections 11.3 Cross Products and Determinants 11.4 Matrices and Linear Equations 11.5 Linear Algebra in Three Dimensions CHAPTER 12 Motion along a Curve 12.1 The Position Vector 446 12.2 Plane Motion: Projectiles and Cycloids 453 12.3 Tangent Vector and Normal Vector 459 12.4 Polar Coordinates and Planetary Motion 464 CHAPTER 13 Partial Derivatives 13.1 Surfaces and Level Curves 472 13.2 Partial Derivatives 475 13.3 Tangent Planes and Linear Approximations 480 13.4 Directional Derivatives and Gradients 490 13.5 The Chain Rule 497 13.6 Maxima, Minima, and Saddle Points 504 13.7 Constraints and Lagrange Multipliers 514 CHAPTER Infinite Series Infinite series can be a pleasure (sometimes). They throw a beautiful light on sin x and cos x. They give famous numbers like n and e. Usually they produce totally unknown functions-which might be good. But on the painful side is the fact that an infinite series has infinitely many terms. It is not easy to know the sum of those terms. -
Final Exam: Cheat Sheet"
7/17/97 Final Exam: \Cheat Sheet" Z Z 1 2 6. csc xdx = cot x dx =lnjxj 1. x Z Z x a x 7. sec x tan xdx = sec x 2. a dx = ln a Z Z 8. csc x cot xdx = csc x 3. sin xdx = cos x Z Z 1 x dx 1 = tan 9. 4. cos xdx = sin x 2 2 x + a a a Z Z dx x 1 2 p = sin 10. 5. sec xdx = tan x 2 2 a a x Z Z d b [f y g y ] dy [f x g x] dx. In terms of y : A = 11. Area in terms of x: A = c a Z Z d b 2 2 [g y ] dy [f x] dx. Around the y -axis: V = 12. Volume around the x-axis: V = c a Z b 13. Cylindrical Shells: V = 2xf x dx where 0 a< b a Z Z b b b 0 0 14. f xg x dx = f xg x] f xg x dx a a a R m 2 2 n 2 2 15. HowtoEvaluate sin x cos xdx.:Ifm or n are o dd use sin x =1 cos x and cos x =1 sin x, 2 1 1 2 resp ectively and then apply substitution. Otherwise, use sin x = 1 cos 2x or cos x = 1 + cos 2x 2 2 1 or sin x cos x = sin 2x. 2 R m n 2 2 2 16. HowtoEvaluate tan x sec xdx.:Ifm is o dd or n is even, use tan x = sec x 1 and sec x = 2 1 + tan x, resp ectively and then apply substitution. -
Computation of Hypergeometric Functions
Computation of Hypergeometric Functions by John Pearson Worcester College Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Mathematical Modelling and Scientific Computing University of Oxford 4 September 2009 Abstract We seek accurate, fast and reliable computations of the confluent and Gauss hyper- geometric functions 1F1(a; b; z) and 2F1(a; b; c; z) for different parameter regimes within the complex plane for the parameters a and b for 1F1 and a, b and c for 2F1, as well as different regimes for the complex variable z in both cases. In order to achieve this, we implement a number of methods and algorithms using ideas such as Taylor and asymptotic series com- putations, quadrature, numerical solution of differential equations, recurrence relations, and others. These methods are used to evaluate 1F1 for all z 2 C and 2F1 for jzj < 1. For 2F1, we also apply transformation formulae to generate approximations for all z 2 C. We discuss the results of numerical experiments carried out on the most effective methods and use these results to determine the best methods for each parameter and variable regime investigated. We find that, for both the confluent and Gauss hypergeometric functions, there is no simple answer to the problem of their computation, and different methods are optimal for different parameter regimes. Our conclusions regarding the best methods for computation of these functions involve techniques from a wide range of areas in scientific computing, which are discussed in this dissertation. We have also prepared MATLAB code that takes account of these conclusions. -
Lauricella's Hypergeometric Function
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 7, 452-470 (1963) Lauricella’s Hypergeometric Function FD* B. C. CARLSON Institute for Atomic Research and D@artment of Physics, Iowa State University, Ames, Iowa Submitted by Richard Bellman I. INTRODUCTION In 1880 Appell defined four hypergeometric series in two variables, which were generalized to 71variables in a straightforward way by Lauricella in 1893 [I, 21. One of Lauricella’s series, which includes Appell’s function F, as the case 71= 2 (and, of course, Gauss’s hypergeometric function as the case n = l), is where (a, m) = r(u + m)/r(a). The FD f unction has special importance for applied mathematics and mathematical physics because elliptic integrals are hypergeometric functions of type FD [3]. In Section II of this paper we shall define a hypergeometric function R(u; b,, . ..) b,; zi, “., z,) which is the same as FD except for small but important modifications. Since R is homogeneous in the variables zi, ..., z,, it depends in a nontrivial way on only 71- 1 ratios of these variables; indeed, every R function with n variables is expressible in terms of an FD function with 71- 1 variables, and conversely. Although R and FD are therefore equivalent, R turns out to be more convenient for both theory and applica- tion. The choice of R was initially suggested by the observation that the Euler transformations of FD would be greatly simplified by introducing homo- geneous variables. -
Taylor Series and Mclaurin Series • Definition of a Power Series
Learning Goals: Taylor Series and McLaurin series • Definition of a power series expansion of a function at a. • Learn to calculate the Taylor series expansion of a function at a. • Know that if a function has a power series expansion at a, then that power series must be the Taylor series expansion at a. • Be aware that the Taylor series expansion of a function f(x) at a does not always sum to f(x) in an interval around a and know what is involved in checking whether it does or not. • Remainder Theorem: Know how to get an upper bound for the remainder. • Know the power series expansions for sin(x), cos(x) and (1 + x)k and be familiar with how they were derived. • Become familiar with how to apply previously learned methods to these new power series: i.e. methods such as substitution, integration, differentiation, limits, polynomial approximation. 1 Taylor Series and McLaurin series: Stewart Section 11.10 We have seen already that many functions have a power series representation on part of their domain. For example function Power series Repesentation Interval 1 1 X xn −1 < x < 1 1 − x n=0 1 1 X (−1)nxkn −1 < x < 1 1 + xk n=0 1 X xn+1 ln(1 + x) (−1)n −1 < x ≤ 1 n + 1 n=0 1 X x2n+1 ? ? arctan(x) (−1)n −1 < x < 1 2n + 1 n=0 1 X xn ex −∞ < x < 1 n! n=0 Now that you are comfortable with the idea of a power series representation for a function, you may be wondering if such a power series representation is unique and is there a systematic way of finding a power series representation for a function. -
Numerical Evaluation of the Gauss Hypergeometric Function with the Hypergeo Package
Numerical evaluation of the Gauss hypergeometric function with the hypergeo package Robin K. S. Hankin Auckland University of Technology Abstract This paper introduces the hypergeo package of R routines, for numerical calculation of hypergeometric functions. The package is focussed on efficient and accurate evaluation of the hypergeometric function over the whole of the complex plane within the constraints of fixed-precision arithmetic. The hypergeometric series is convergent only within the unit circle, so analytic continuation must be used to define the function outside the unit circle. This short document outlines the numerical and conceptual methods used in the package; and justifies the package philosophy, which is to maintain transparent and verifiable links between the software and AMS-55. The package is demonstrated in the context of game theory. Keywords: Hypergeometric functions, numerical evaluation, complex plane, R, residue theo- rem. 1. Introduction k The geometric series k∞=0 tk with tk = z may be characterized by its first term and the con- k 1 stant ratio of successiveP terms tk+1/tk = z, giving the familiar identity k∞=0 z = (1 − z)− . Observe that while the series has unit radius of convergence, the rightP hand side is defined over the whole complex plane except for z = 1 where it has a pole. Series of this type may be generalized to a hypergeometric series in which the ratio of successive terms is a rational function of k: t +1 P (k) k = tk Q(k) where P (k) and Q(k) are polynomials. If both numerator and denominator have been com- pletely factored we would write t +1 (k + a1)(k + a2) ··· (k + ap) k = z tk (k + b1)(k + b2) ··· (k + bq)(k + 1) (the final term in the denominator is due to historical reasons), and if we require t0 = 1 then we write ∞ k a1,a2,...,ap tkz = aFb ; z (1) b1,b2,...,bq Xk=0 2 Numerical evaluation of the Gauss hypergeometric function with the hypergeo package − z when defined.