The Law of Multiplication of Large Random Matrices Revisited

被引:1
|
作者
Pastur, Leonid [1 ,2 ]
机构
[1] Natl Acad Sci Ukraine, B Verkin Inst Low Temp Phys & Engn, 47 Nauky Ave, UA-61103 Kharkiv, Ukraine
[2] Inst Hautes Etud Sci, 35 Rte Chartres, F-91440 Bures Sur Yvettes, France
关键词
random matrices; orthogonal matrices; eigenvalue distribu-tion;
D O I
10.15407/mag19.01.191
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The paper deals with the eigenvalue distribution of the product of two n x n positive definite matrices B tau, tau = +/- 1, rotated with respect to each other by the random orthogonal and Haar distributed matrix. The prob-lem has been considered in several works by using various techniques. We propose a streamlined approach based on the random matrix theory tech-niques and a certain symmetry of the problem. We prove the convergence with probability 1 as n tends to infinity of the Normalized Counting Mea-sure (NCM) of eigenvalues of the product to a non-random limit, derive a functional equation that determines the Stieltjes transform of the limiting NCM of the product in terms of limiting NCMs of the factors B tau, tau = +/- 1, and consider an interesting example.
引用
收藏
页码:191 / 210
页数:20
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