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1: 35.1 Special Notation
a , b complex variables.
𝛀 space of positive-definite real symmetric matrices.
𝐗 > 𝐓 𝐗 𝐓 is positive definite. Similarly, 𝐓 < 𝐗 is equivalent.
2: 35.5 Bessel Functions of Matrix Argument
35.5.3 B ν ( 𝐓 ) = 𝛀 etr ( ( 𝐓 𝐗 + 𝐗 1 ) ) | 𝐗 | ν 1 2 ( m + 1 ) d 𝐗 , ν , 𝐓 𝛀 .
35.5.5 𝟎 < 𝐗 < 𝐓 A ν 1 ( 𝐒 1 𝐗 ) | 𝐗 | ν 1 A ν 2 ( 𝐒 2 ( 𝐓 𝐗 ) ) | 𝐓 𝐗 | ν 2 d 𝐗 = | 𝐓 | ν 1 + ν 2 + 1 2 ( m + 1 ) A ν 1 + ν 2 + 1 2 ( m + 1 ) ( ( 𝐒 1 + 𝐒 2 ) 𝐓 ) , ν j , ( ν j ) > 1 , j = 1 , 2 ; 𝐒 1 , 𝐒 2 𝓢 ; 𝐓 𝛀 .
35.5.7 𝛀 A ν 1 ( 𝐓 𝐗 ) B ν 2 ( 𝐒 𝐗 ) | 𝐗 | ν 1 d 𝐗 = 1 A ν 1 + ν 2 ( 𝟎 ) | 𝐒 | ν 2 | 𝐓 + 𝐒 | ( ν 1 + ν 2 + 1 2 ( m + 1 ) ) , ( ν 1 + ν 2 ) > 1 ; 𝐒 , 𝐓 𝛀 .
3: 35.3 Multivariate Gamma and Beta Functions
35.3.2 Γ m ( s 1 , , s m ) = 𝛀 etr ( 𝐗 ) | 𝐗 | s m 1 2 ( m + 1 ) j = 1 m 1 | ( 𝐗 ) j | s j s j + 1 d 𝐗 , s j , ( s j ) > 1 2 ( j 1 ) , j = 1 , , m .
4: 19.31 Probability Distributions
More generally, let 𝐀 ( = [ a r , s ] ) and 𝐁 ( = [ b r , s ] ) be real positive-definite matrices with n rows and n columns, and let λ 1 , , λ n be the eigenvalues of 𝐀 𝐁 1 . …
5: 21.1 Special Notation
g , h positive integers.
𝛀 g × g complex, symmetric matrix with 𝛀 strictly positive definite, i.e., a Riemann matrix.
6: 35.2 Laplace Transform
35.2.1 g ( 𝐙 ) = 𝛀 etr ( 𝐙 𝐗 ) f ( 𝐗 ) d 𝐗 ,
7: 35.6 Confluent Hypergeometric Functions of Matrix Argument
35.6.2 Ψ ( a ; b ; 𝐓 ) = 1 Γ m ( a ) 𝛀 etr ( 𝐓 𝐗 ) | 𝐗 | a 1 2 ( m + 1 ) | 𝐈 + 𝐗 | b a 1 2 ( m + 1 ) d 𝐗 , ( a ) > 1 2 ( m 1 ) , 𝐓 𝛀 .
35.6.8 𝛀 | 𝐓 | c 1 2 ( m + 1 ) Ψ ( a ; b ; 𝐓 ) d 𝐓 = Γ m ( c ) Γ m ( a c ) Γ m ( c b + 1 2 ( m + 1 ) ) Γ m ( a ) Γ m ( a b + 1 2 ( m + 1 ) ) , ( a ) > ( c ) + 1 2 ( m 1 ) > m 1 , ( c b ) > 1 .
8: 1.5 Calculus of Two or More Variables
and the second order term in (1.5.18) is positive definite (negative definite), that is, …
9: 35.4 Partitions and Zonal Polynomials
10: 18.34 Bessel Polynomials
The full system satisfies orthogonality with respect to a (not positive definite) moment functional; see Evans et al. (1993, (2.7)) for the simple expression of the moments μ n . …