Abstract

Hypergeometric functions have been increasingly present in several disciplines including Statistics, but there is much confusion on their proper uses, as well as on their existence and domain of definition. In this article, we try to clarify several points and give a general overview of the topic, going from the univariate case to the matrix case, in one and then in several arguments. We also survey some results in fields close to Statistics, where hypergeometric functions are actively used, studied and developed.

Highlights

  • Hypergeometric functions in one or several variables, introduced first in Mathematics, have been used in Physics and Applied Mathematics for some time

  • It is understandable that the huge volume of relations between hypergeometric functions of all types presented in the literature, and new ones regularly introduced in journals, raise various pertinent questions: Are they correct? How can we recognize a series as being of hypergeometric type? Can some of them be merely modified versions of existing ones? What are the mechanisms to derive new results from existing fundamental ones? Can we identify those which are really basic?

  • It is not surprising that hypergeometric functions are used in Economics and related fields, where advanced mathematics are often used for modeling and computation

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Summary

Introduction

Hypergeometric functions in one or several variables, introduced first in Mathematics, have been used in Physics and Applied Mathematics for some time. There are, at present, three survey articles on hypergeometric functions in the literature: one is from the Encyclopedia of Statistical sciences [2], one by Schlosser [3], and the third one by Abadir [4] Each of these surveys has its own merits, but the first one is limited to one variable and does not cover several topics related to mathematics. NOTE: In this survey we will limit our consideration to the real case, for scalar, vector and matrix variables, since the complex case is seldom encountered in Statistics, and its inclusion would considerably lengthen the article Classical treatises on this topic are Erdelyi et al [15], Slater [16] [17], Bailey [18]. Our view is only one among so many others, that could differ sharply from ours

Hypergeometric series and functions in one scalar variable
Hypergeometric Series and Functions in One Scalar Variable
Sums Versus Integrals
Integral Representations
Laplace Representation on the Positive Half-Line
Mellin-Barnes Representation by Contour Integral in the Complex Plane
Contiguous Relations
Generalization to Several Parameters
Generalization to G and H Functions
Hypergeometric Series and Functions in Several Independent Scalar Variables
Integral Representations and Further Generalization
Representation of Mellin-Barnes Type
Differential Equations and Systems
Generalized G and H functions in Several Independent Scalar Variable
Functions in One Matrix Variate
Laplace Transform Approach
Hypergeometric Function in Several Matrix Variates
Computation of the Hypergeometric Function
Old and New Relations between Hypergeometric Functions Managed by Computer
Hypergeometric Functions Derived via Other Approaches
Fractional Calculus
Lie Group Appproach
Carlson’s Approach
Results of Interest
Single Integral Representation and Elliptic Integrals
Basic Q-Hypergeometric Functions
Discrete Case
Matrix Case
Other Applications
Hypergeometric Functions in Neighboring Domains
Single Integral Representation
Algebraic Functions and Roots of Equations
Random Matrices in Theoretical Physics
Conclusion
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