吉林大学学报(理学版)

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高维样本协方差矩阵极限谱密度的显式表达式

高瑞梅1, 吕堂红1, 胡江2   

  1. 1. 长春理工大学 理学院, 长春 130022; 2. 东北师范大学 数学与统计学院, 长春 130024
  • 收稿日期:2015-08-03 出版日期:2016-05-26 发布日期:2016-05-20
  • 通讯作者: 吕堂红 E-mail:lvtanghong@163.com

Explicit Expression of Limiting Spectral Density of High Dimensional Sample Covariance Matrices

GAO Ruimei1, LV Tanghong1, HU Jiang2   

  1. 1. College of Science, Changchun University of Science and Technology, Changchun 130022, China;2. School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China
  • Received:2015-08-03 Online:2016-05-26 Published:2016-05-20
  • Contact: LV Tanghong E-mail:lvtanghong@163.com

摘要:

用Stieltjes变换给出一般高维样本协方差矩阵的极限密度函数的显示表达式, 包括: 样本元素独立且均值为0, 方差为常数的样本协方差矩阵; 一个样本协方差矩阵与单位阵的和; 样本元素方差不等但只取两值的样本协方差矩阵; 两个不同的样本协方差矩阵之和.

关键词: 随机矩阵, 极限谱密度函数, 样本协方差矩阵

Abstract:

Using the method of Stieltjes transform, we gave the explicit expressions of the limiting spectral density functions of the general high dimensional sample covariance matrices, which included: the sample covariance matrix whose elements were independent with zero mean and constant variance; the sum of a sample covariance matrix and a unit matrix; the sample covariance matrix which satisfied that the variance of the elements were different but only had two values; the sum of two different sample covariance matrices.

Key words: random matrix, limiting spectral density (LSD) function, sample covariance matrix

中图分类号: 

  • O211.4