multivariate hypergeometric function
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1: 19.15 Advantages of Symmetry
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►Elliptic integrals are special cases of a particular multivariate hypergeometric function called Lauricella’s
(Carlson (1961b)).
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2: 19.16 Definitions
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§19.16(ii)
►All elliptic integrals of the form (19.2.3) and many multiple integrals, including (19.23.6) and (19.23.6_5), are special cases of a multivariate hypergeometric function ►
19.16.8
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19.16.14
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3: Bille C. Carlson
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►In his paper Lauricella’s hypergeometric function
(1963), he defined the -function, a multivariate hypergeometric function that is homogeneous in its variables, each variable being paired with a parameter.
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4: 19.19 Taylor and Related Series
5: 35.1 Special Notation
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►The main functions treated in this chapter are the multivariate gamma and beta functions, respectively and , and the special functions of matrix argument: Bessel (of the first kind) and (of the second kind) ; confluent hypergeometric (of the first kind) or and (of the second kind) ; Gaussian hypergeometric
or ; generalized hypergeometric
or .
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►Related notations for the Bessel functions are (Faraut and Korányi (1994, pp. 320–329)), (Terras (1988, pp. 49–64)), and (Faraut and Korányi (1994, pp. 357–358)).
complex variables. | |
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6: 19.31 Probability Distributions
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19.31.2
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7: 19.1 Special Notation
8: 19.23 Integral Representations
9: 19.18 Derivatives and Differential Equations
10: 19.34 Mutual Inductance of Coaxial Circles
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19.34.7
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