CONVERGENCE OF JOINT MOMENTS FOR INDEPENDENT RANDOM PATTERNED MATRICES

成果类型:
Article
署名作者:
Bose, Arup; Hazra, Rajat Subhra; Saha, Koushik
署名单位:
Indian Statistical Institute; Indian Statistical Institute Kolkata
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/10-AOP597
发表日期:
2011
页码:
1607-1620
关键词:
dimensional random matrices
摘要:
It is known that the joint limit distribution of independent Wigner matrices satisfies a very special asymptotic independence, called freeness. We study the joint convergence of a few other patterned matrices, providing a framework to accommodate other joint laws. In particular, the matricial limits of symmetric circulants and reverse circulants satisfy, respectively, the classical independence and the half independence. The matricial limits of Toeplitz and Hankel matrices do not seem to submit to any easy or explicit independence/dependence notions. Their limits are not independent, free or half independent.