Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jmva.2006.06.001
Title: On limit theorem for the eigenvalues of product of two random matrices
Authors: Bai, Z.D. 
Miao, B.
Jin, B.
Keywords: Large dimensional random matrices
Limiting spectral distribution
Product of random matrices
Issue Date: Jan-2007
Citation: Bai, Z.D., Miao, B., Jin, B. (2007-01). On limit theorem for the eigenvalues of product of two random matrices. Journal of Multivariate Analysis 98 (1) : 76-101. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jmva.2006.06.001
Abstract: The existence of limiting spectral distribution (LSD) of the product of two random matrices is proved. One of the random matrices is a sample covariance matrix and the other is an arbitrary Hermitian matrix. Specially, the density function of LSD of Sn Wn is established, where Sn is a sample covariance matrix and Wn is Wigner matrix. © 2006 Elsevier Inc. All rights reserved.
Source Title: Journal of Multivariate Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/105257
ISSN: 0047259X
DOI: 10.1016/j.jmva.2006.06.001
Appears in Collections:Staff Publications

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