Identities for the Gamma and Hypergeometric Functions: an Overview
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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) = . -
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). -
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. -
A Note on the 2F1 Hypergeometric Function
A Note on the 2F1 Hypergeometric Function Armen Bagdasaryan Institution of the Russian Academy of Sciences, V.A. Trapeznikov Institute for Control Sciences 65 Profsoyuznaya, 117997, Moscow, Russia E-mail: [email protected] Abstract ∞ α The special case of the hypergeometric function F represents the binomial series (1 + x)α = xn 2 1 n=0 n that always converges when |x| < 1. Convergence of the series at the endpoints, x = ±1, dependsP on the values of α and needs to be checked in every concrete case. In this note, using new approach, we reprove the convergence of the hypergeometric series for |x| < 1 and obtain new result on its convergence at point x = −1 for every integer α = 0, that is we prove it for the function 2F1(α, β; β; x). The proof is within a new theoretical setting based on a new method for reorganizing the integers and on the original regular method for summation of divergent series. Keywords: Hypergeometric function, Binomial series, Convergence radius, Convergence at the endpoints 1. Introduction Almost all of the elementary functions of mathematics are either hypergeometric or ratios of hypergeometric functions. Moreover, many of the non-elementary functions that arise in mathematics and physics also have representations as hypergeometric series, that is as special cases of a series, generalized hypergeometric function with properly chosen values of parameters ∞ (a ) ...(a ) F (a , ..., a ; b , ..., b ; x)= 1 n p n xn p q 1 p 1 q (b ) ...(b ) n! n=0 1 n q n X Γ(w+n) where (w)n ≡ Γ(w) = w(w + 1)(w + 2)...(w + n − 1), (w)0 = 1 is a Pochhammer symbol and n!=1 · 2 · .. -
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. -
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. -
Representations of Hypergeometric Functions for Arbitrary Parameter
Representations of hypergeometric functions for arbitrary parameter values and their use D.B. Karpa∗ and J.L. L´opezb aFar Eastern Federal University, Vladivostok, Russia bDpto. de Ingenier´ıa Matem´atica e Inform´atica, Universidad P´ublica de Navarra and INAMAT, Navarra, Spain Abstract. Integral representations of hypergeometric functions proved to be a very useful tool for studying their properties. The purpose of this paper is twofold. First, we extend the known representations to arbitrary values of the parameters and show that the extended representations can be interpreted as examples of regularizations of integrals containing Meijer’s G function. Second, we give new applications of both, known and extended representations. These include: inverse factorial series expansion for the Gauss type function, new information about zeros of the Bessel and Kummer type functions, connection with radial positive definite functions and generalizations of Luke’s inequalities for the Kummer and Gauss type functions. Keywords: generalized hypergeometric function, Meijer’s G function, integral representation, radial positive definite function, inverse factorial series, Hadamard finite part MSC2010: 33C20, 33C60, 33F05, 42A82, 65D20 1 Introduction Throughout the paper we will use the standard definition of the generalized hypergeometric function pFq as the sum of the series ∞ a (a ) (a ) (a ) arXiv:1609.02340v2 [math.CA] 5 Oct 2016 F z = F (a; b; z)= 1 n 2 n · · · p n zn (1) p q b p q (b ) (b ) (b ) n! n=0 1 n 2 n q n X · · · if p q, z C. If p = q + 1 the above series only converges in the open unit disk and F (z) is ≤ ∈ p q defined as its analytic continuation for z C [1, ). -
Orthogonal Polynomial Expansions for the Riemann Xi Function Dan Romik
Orthogonal polynomial expansions for the Riemann xi function Dan Romik Author address: Department of Mathematics, University of California, Davis, One Shields Ave, Davis CA 95616, USA E-mail address: [email protected] Contents Chapter 1. Introduction 1 1.1. Background 1 1.2. Our new results: Tur´an'sprogram revisited and extended; expansion of Ξ(t) in new orthogonal polynomial bases 3 1.3. Previous work involving the polynomials fn 5 1.4. How to read this paper 6 1.5. Acknowledgements 6 Chapter 2. The Hermite expansion of Ξ(t) 7 2.1. The basic convergence result for the Hermite expansion 7 2.2. Preliminaries 8 2.3. Proof of Theorem 2.1 8 2.4. An asymptotic formula for the coefficients b2n 12 2.5. The Poisson flow, P´olya-De Bruijn flow and the De Bruijn-Newman constant 17 Chapter 3. Expansion of Ξ(t) in the polynomials fn 20 3.1. Main results 20 3.2. Proof of Theorem 3.1 21 3.3. Proof of Theorem 3.2 23 3.4. The Poisson flow associated with the fn-expansion 26 3.5. Evolution of the zeros under the Poisson flow 27 Chapter 4. Radial Fourier self-transforms 30 4.1. Radial Fourier self-transforms on Rd and their construction from balanced functions 30 4.2. The radial function A(r) associated to !(x) 31 4.3. An orthonormal basis for radial self-transforms 33 4.4. Constructing new balanced functions from old 35 4.5. The functions ν(x) and B(r) 35 4.6. -
Hypergeometric Integral Transforms
Hypergeometric integral transforms François Rouvière April 15, 2018 The following integral formula plays an essential role in Cormack’s 1981 study [1] of the line Radon transform in the plane: s sT (p=s) rT (p=r) dp 2 n n = , n ; 0 < r < s; (1) 2 2 2 2 Z r s p p r p 2 Z where Tn denotes thep Chebyshevp polynomial de…ned by Tn(cos ) = cos n.A few years later, Cormack [2] extended his method to the Radon transform on certain hypersurfaces in Rn, using a similar formula with Chebyshev polynomials replaced by Gegenbauer’s. All these polynomials may be viewed as hypergeometric functions. Here we shall prove in Section 2 a more general integral formula (Proposition 3) and an inversion formula for a general hypergeometric integral transform (Theorem 4). These results are applied to Chebyshev polynomials in Section 3. For the reader’s convenience we give self-contained proofs, only sketched in the appendices to Cormack’s papers [1] and [2]. No previous knowledge of hypergeometric functions is assumed; the basics are given in Section 1. 1 Hypergeometric functions Let a; b; c; z denote complex numbers. For k N, let 2 (a)k := a(a + 1) (a + k 1) if k 1 , (a)0 := 1: For instance the classical binomial series may be written as k a z (1 z) = (a)k , z < 1; (2) k! j j k N X2 a where (1 z) denotes the principal value. It is useful to note that (a)k = 1 x s 1 (a + k)=(a) if a = N, where (s) := 0 e x dx is Euler’s Gamma function. -
Multivariable Hypergeometric Functions
Multivariable Hypergeometric Functions Eric M. Opdam Abstract. The goal of this lecture is to present an overview of the modern de- velopments around the theme of multivariable hypergeometric functions. The classical Gauss hypergeometric function shows up in the context of differen- tial geometry, algebraic geometry, representation theory and mathematical physics. In all cases it is clear that the restriction to the one variable case is unnatural. Thus from each of these contexts it is desirable to generalize the classical Gauss function to a class of multivariable hypergeometric func- tions. The theories that have emerged in the past decades are based on such considerations. 1. The Classical Gauss Hypergeometric Function The various interpretations of Gauss’ hypergeometric function have challenged mathematicians to generalize this function. Multivariable versions of this func- tion have been proposed already in the 19th century by Appell, Lauricella, and Horn. Reflecting developments in geometry, representation theory and mathemat- ical physics, a renewed interest in multivariable hypergeometric functions took place from the 1980’s. Such generalizations have been initiated by Aomoto [1], Gelfand and Gelfand [14], and Heckman and Opdam [19], and these theories have been further developed by numerous authors in recent years. The best introduction to this story is a recollection of the role of the Gauss function itself. So let us start by reviewing some of the basic properties of this classical function. General references for this introductory section are [24, 12], and [39]. The Gauss hypergeometric series with parameters a, b, c ∈ C and c ∈ Z≤0 is the following power series in z: ∞ (a) (b) F (a, b, c; z):= n n zn . -
An Analysis of the Lanczos Gamma Approximation
AN ANALYSIS OF THE LANCZOS GAMMA APPROXIMATION by GLENDON RALPH PUGH B.Sc. (Mathematics) University of New Brunswick, 1992 M.Sc. (Mathematics) University of British Columbia, 1999 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE STUDIES Department of Mathematics We accept this thesis as conforming to the required standard .................................. .................................. .................................. .................................. .................................. THE UNIVERSITY OF BRITISH COLUMBIA November 2004 c Glendon Ralph Pugh, 2004 In presenting this thesis in partial fulfillment of the requirements for an ad- vanced degree at the University of British Columbia, I agree that the Library shall make it freely available for reference and study. I further agree that permission for extensive copying of this thesis for scholarly purposes may be granted by the head of my department or by his or her representatives. It is understood that copying or publication of this thesis for financial gain shall not be allowed without my written permission. (Signature) Department of Mathematics The University of British Columbia Vancouver, Canada Date Abstract This thesis is an analysis of C. Lanczos’ approximation of the classical gamma function Γ(z+1) as given in his 1964 paper A Precision Approximation of the Gamma Function [14]. The purposes of this study are: (i) to explain the details of Lanczos’ paper, including proofs of all claims made by the author; (ii) to address the question of how best to implement the approximation method in practice; and (iii) to generalize the methods used in the derivation of the approximation. At present there are a number of algorithms for approximating the gamma function. -
An Introduction to the Riemann Hypothesis
An introduction to the Riemann hypothesis Author: Alexander Bielik [email protected] Supervisor: P¨arKurlberg SA104X { Degree Project in Engineering Physics Royal Institute of Technology (KTH) Department of Mathematics September 13, 2014 Abstract This paper exhibits the intertwinement between the prime numbers and the zeros of the Riemann zeta function, drawing upon existing literature by Davenport, Ahlfors, et al. We begin with the meromorphic continuation of the Riemann zeta function ζ and the gamma function Γ. We then derive a functional equation that relates these functions and formulate the Riemann hypothesis. We move on to the topic of finite-ordered functions and their Hadamard products. We show that the xi function ξ is of finite order, whence we obtain many useful properties. We then use these properties to find a zero-free region for ζ in the critical strip. We also determine the vertical distribution of the non-trivial zeros. We finally use Perron's formula to derive von Mangoldt's explicit formula, which is an approximation of the Cheby- shev function . Using this approximation, we prove the prime number theorem and conclude with an implication of the Riemann hypothesis. Contents Introduction 2 1 The statement of the Riemann hypothesis3 1.1 The Riemann zeta function ζ .........................................3 1.2 The gamma function Γ.............................................4 1.3 The functional equation............................................7 1.4 The critical strip................................................8 2 Zeros in the critical strip 10 2.1 Functions of finite order............................................ 10 2.2 The Hadamard product for functions of order 1............................... 11 2.3 Proving that ξ has order at most 1.....................................