Abstract
In this paper, we consider m independent random rectangular matrices whose entries are independent and identically distributed standard complex Gaussian random variables and assume the product of the m rectangular matrices is an n by n square matrix. We study the limiting empirical spectral distributions of the product where the dimension of the product matrix goes to infinity, and m may change with the dimension of the product matrix and diverge. We give a complete description for the limiting distribution of the empirical spectral distributions for the product matrix and illustrate some examples.
Original language | English (US) |
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Article number | 125237 |
Journal | Journal of Mathematical Analysis and Applications |
Volume | 502 |
Issue number | 2 |
DOIs | |
State | Published - Oct 15 2021 |
Bibliographical note
Funding Information:The authors would like to thank an anonymous referee for his/her careful reading of the manuscript and suggestion which has improved the layout of the manuscript. The research of Yongcheng Qi was supported in part by NSF Grant DMS-1916014 .
Publisher Copyright:
© 2021 Elsevier Inc.
Keywords
- Eigenvalues
- Empirical spectral distribution
- Non-Hermitian random matrix
- Product of rectangular matrices