ANALYSIS OF THE LIMITING SPECTRAL DISTRIBUTION OF LARGE DIMENSIONAL RANDOM MATRICES

被引:184
|
作者
SILVERSTEIN, JW [1 ]
CHOI, SI [1 ]
机构
[1] N CAROLINA STATE UNIV, RALEIGH, NC 27695 USA
关键词
EIGENVALUES OF RANDOM MATRICES; SPECTRAL DISTRIBUTION; STIELTJES TRANSFORM;
D O I
10.1006/jmva.1995.1058
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
Results on the analytic behavior of the limiting spectral distribution of matrices of sample covariance type, studied in Marcenko and Pastur [2] and Yin [8], are derived. Through an equation defining its Stieltjes transform, it is shown that the limiting distribution has a continuous derivative away from zero, the derivative being analytic wherever it is positive, and resembles root\x-x(o)\ for most cases of x(o) in the boundary of its support. A complete analysis of a way to determine its support, originally outlined in Marenko and Pastur [2], is also presented. (C) 1995 Academic Press, Inc.
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页码:295 / 309
页数:15
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