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一类随机矩阵经验分布的强收敛性
引用本文:梁庆文,缪柏其,王大鹏. 一类随机矩阵经验分布的强收敛性[J]. 数学季刊, 2006, 21(1): 28-32
作者姓名:梁庆文  缪柏其  王大鹏
作者单位:Department of Statistics and Finance,University of Science and Technology of China,Hefei 230026,China;Key Lab of Intelligent Computing and Signal Processing of the Ministry of Education,Anhui University,Hefei 230026,China
基金项目:Supported by the NNSF of China(10471135)
摘    要:Let {vij}, i, j = 1, 2,…, be i.i.d. random variables with Ev11= 0, Ev112=1 and ai = (ai1,…,aiM) be random vectors with {aij} being i.i.d. random variables. Define XN=(x1,…, XK) and SN= XNXNT, where The spectral distribution of SN is proven to converge, with probability one, to a nonrandom distribution function under mild conditions.

关 键 词:协方差矩阵样本  经验光谱分布函数  Stieltjes变换  强会聚

Strong Convergence of Empirical Distribution for a Class of Random Matrices
LIANG Qing-wen,MIAO Bai-qi,WANG Da-peng. Strong Convergence of Empirical Distribution for a Class of Random Matrices[J]. Chinese Quarterly Journal of Mathematics, 2006, 21(1): 28-32
Authors:LIANG Qing-wen  MIAO Bai-qi  WANG Da-peng
Affiliation:[1]Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China; [2]Key Lab of intelligent Computing and Signal Processing of the Ministry of Education, AnhuiUniversity, Hefei 230026, China
Abstract:
Keywords:empirical spectral distribution function  sample covariance matrix  Stieltjes transform  strong convergence
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