Random Block Matrices and Matrix Orthogonal Polynomials

被引:12
|
作者
Dette, Holger [1 ]
Reuther, Bettina [1 ]
机构
[1] Ruhr Univ Bochum, Fak Math, D-44780 Bochum, Germany
关键词
Random block matrices; Matrix orthogonal polynomials; Asymptotic eigenvalue distribution; Strong uniform approximation; Chebyshev matrix polynomials; RECURRENCE COEFFICIENTS; RATIO ASYMPTOTICS; BETA-ENSEMBLES; THEOREM; EIGENVALUES; LAGUERRE; HERMITE;
D O I
10.1007/s10959-008-0189-z
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper we consider random block matrices, which generalize the general beta ensembles recently investigated by Dumitriu and Edelmann (J. Math. Phys. 43:5830-5847, 2002; Ann. Inst. Poincar, Probab. Stat. 41:1083-1099, 2005). We demonstrate that the eigenvalues of these random matrices can be uniformly approximated by roots of matrix orthogonal polynomials which were investigated independently from the random matrix literature. As a consequence, we derive the asymptotic spectral distribution of these matrices. The limit distribution has a density which can be represented as the trace of an integral of densities of matrix measures corresponding to the Chebyshev matrix polynomials of the first kind. Our results establish a new relation between the theory of random block matrices and the field of matrix orthogonal polynomials, which have not been explored so far in the literature.
引用
收藏
页码:378 / 400
页数:23
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