## Bernoulli

• Bernoulli
• Volume 23, Number 4B (2017), 3067-3113.

### Distribution of linear statistics of singular values of the product of random matrices

#### Abstract

In this paper we consider the product of two independent random matrices ${\mathbf{X}}^{(1)}$ and ${\mathbf{X}}^{(2)}$. Assume that $X_{jk}^{(q)},1\le j,k\le n,q=1,2$, are i.i.d. random variables with $\mathbb{E}X_{jk}^{(q)}=0,\operatorname{Var}X_{jk}^{(q)}=1$. Denote by $s_{1}({\mathbf{W}}),\ldots,s_{n}({\mathbf{W}})$ the singular values of ${\mathbf{W}}:=\frac{1}{n}{\mathbf{X}}^{(1)}\mathbf{X}^{(2)}$. We prove the central limit theorem for linear statistics of the squared singular values $s_{1}^{2}({\mathbf{W}}),\ldots,s_{n}^{2}({\mathbf{W}})$ showing that the limiting variance depends on $\kappa_{4}:=\mathbb{E}(X_{11}^{(1)})^{4}-3$.

#### Article information

Source
Bernoulli, Volume 23, Number 4B (2017), 3067-3113.

Dates
Revised: February 2016
First available in Project Euclid: 23 May 2017

https://projecteuclid.org/euclid.bj/1495505085

Digital Object Identifier
doi:10.3150/16-BEJ837

Mathematical Reviews number (MathSciNet)
MR3654799

Zentralblatt MATH identifier
06778279

#### Citation

Götze, Friedrich; Naumov, Alexey; Tikhomirov, Alexander. Distribution of linear statistics of singular values of the product of random matrices. Bernoulli 23 (2017), no. 4B, 3067--3113. doi:10.3150/16-BEJ837. https://projecteuclid.org/euclid.bj/1495505085

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