Eigenvalue distributions of high-dimensional matrix processes driven by fractional Brownian motion

Author:

Song Jian123ORCID,Yao Jianfeng123ORCID,Yuan Wangjun123ORCID

Affiliation:

1. Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, Shandong 266237, P. R. China

2. School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, P. R. China

3. Department of Mathematics, University of Luxembourg, Maison du Nombre 6, Avenue de la Fonte L-4364, Esch-sur-Alzette, Luxembourg

Abstract

In this paper, we study high-dimensional behavior of empirical spectral distributions [Formula: see text] for a class of [Formula: see text] symmetric/Hermitian random matrices, whose entries are generated from the solution of stochastic differential equation driven by fractional Brownian motion with Hurst parameter [Formula: see text]. For Wigner-type matrices, we obtain almost sure relative compactness of [Formula: see text] in [Formula: see text] following the approach in [1]; for Wishart-type matrices, we obtain tightness of [Formula: see text] on [Formula: see text] by tightness criterions provided in Appendix B. The limit of [Formula: see text] as [Formula: see text] is also characterized.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

NSFC RFIS

ERC Consolidator

Publisher

World Scientific Pub Co Pte Ltd

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