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31: 28.7 Analytic Continuation of Eigenvalues
As functions of q , a n ( q ) and b n ( q ) can be continued analytically in the complex q -plane. …The number of branch points is infinite, but countable, and there are no finite limit points. In consequence, the functions can be defined uniquely by introducing suitable cuts in the q -plane. … All the a 2 n ( q ) , n = 0 , 1 , 2 , , can be regarded as belonging to a complete analytic function (in the large). Therefore w I ( 1 2 π ; a , q ) is irreducible, in the sense that it cannot be decomposed into a product of entire functions that contain its zeros; see Meixner et al. (1980, p. 88). …
32: 15.2 Definitions and Analytical Properties
Because of the analytic properties with respect to a , b , and c , it is usually legitimate to take limits in formulas involving functions that are undefined for certain values of the parameters. …
15.2.3_5 lim c n F ( a , b ; c ; z ) Γ ( c ) = 𝐅 ( a , b ; n ; z ) = ( a ) n + 1 ( b ) n + 1 ( n + 1 ) ! z n + 1 F ( a + n + 1 , b + n + 1 ; n + 2 ; z ) , n = 0 , 1 , 2 , .
33: 32.14 Combinatorics
32.14.1 lim N Prob ( N ( 𝝅 ) 2 N N 1 / 6 s ) = F ( s ) ,
The distribution function F ( s ) given by (32.14.2) arises in random matrix theory where it gives the limiting distribution for the normalized largest eigenvalue in the Gaussian Unitary Ensemble of n × n Hermitian matrices; see Tracy and Widom (1994). …
34: 18.34 Bessel Polynomials
18.34.8 lim α P n ( α , a α 2 ) ( 1 + α x ) P n ( α , a α 2 ) ( 1 ) = y n ( x ; a ) .
35: 10.28 Wronskians and Cross-Products
§10.28 Wronskians and Cross-Products
10.28.1 𝒲 { I ν ( z ) , I ν ( z ) } = I ν ( z ) I ν 1 ( z ) I ν + 1 ( z ) I ν ( z ) = 2 sin ( ν π ) / ( π z ) ,
10.28.2 𝒲 { K ν ( z ) , I ν ( z ) } = I ν ( z ) K ν + 1 ( z ) + I ν + 1 ( z ) K ν ( z ) = 1 / z .
36: 2.1 Definitions and Elementary Properties
2.1.16 f ( x ) a 0 + a 1 ( x c ) + a 2 ( x c ) 2 + , x c in 𝐗 ,
2.1.19 ϕ s + 1 ( x ) = o ( ϕ s ( x ) ) , x c in 𝐗 ,
2.1.20 f ( x ) = s = 0 n 1 f s ( x ) + O ( ϕ n ( x ) ) , x c in 𝐗 ,
2.1.21 f ( x ) s = 0 f s ( x ) ; { ϕ s ( x ) } , x c in 𝐗 .
37: 7.14 Integrals
§7.14(i) Error Functions
Fourier Transform
When a = 0 the limit is taken.
Laplace Transforms
In a series of ten papers Hadži (1968, 1969, 1970, 1972, 1973, 1975a, 1975b, 1976a, 1976b, 1978) gives many integrals containing error functions and Fresnel integrals, also in combination with the hypergeometric function, confluent hypergeometric functions, and generalized hypergeometric functions.
38: 10.5 Wronskians and Cross-Products
§10.5 Wronskians and Cross-Products
10.5.1 𝒲 { J ν ( z ) , J ν ( z ) } = J ν + 1 ( z ) J ν ( z ) + J ν ( z ) J ν 1 ( z ) = 2 sin ( ν π ) / ( π z ) ,
10.5.3 𝒲 { J ν ( z ) , H ν ( 1 ) ( z ) } = J ν + 1 ( z ) H ν ( 1 ) ( z ) J ν ( z ) H ν + 1 ( 1 ) ( z ) = 2 i / ( π z ) ,
10.5.4 𝒲 { J ν ( z ) , H ν ( 2 ) ( z ) } = J ν + 1 ( z ) H ν ( 2 ) ( z ) J ν ( z ) H ν + 1 ( 2 ) ( z ) = 2 i / ( π z ) ,
10.5.5 𝒲 { H ν ( 1 ) ( z ) , H ν ( 2 ) ( z ) } = H ν + 1 ( 1 ) ( z ) H ν ( 2 ) ( z ) H ν ( 1 ) ( z ) H ν + 1 ( 2 ) ( z ) = 4 i / ( π z ) .
39: 35.9 Applications
§35.9 Applications
See James (1964), Muirhead (1982), Takemura (1984), Farrell (1985), and Chikuse (2003) for extensive treatments. … These references all use results related to the integral formulas (35.4.7) and (35.5.8). … In chemistry, Wei and Eichinger (1993) expresses the probability density functions of macromolecules in terms of generalized hypergeometric functions of matrix argument, and develop asymptotic approximations for these density functions. In the nascent area of applications of zonal polynomials to the limiting probability distributions of symmetric random matrices, one of the most comprehensive accounts is Rains (1998).
40: 22.11 Fourier and Hyperbolic Series
In (22.11.7)–(22.11.12) the left-hand sides are replaced by their limiting values at the poles of the Jacobian functions. …