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arXiv 1506.04436math.PR
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非Hermite随机矩阵乘积和的极限谱分布

Limiting Spectral Distributions of Sums of Products of Non-Hermitian Random Matrices

H. Kösters, A. Tikhomirov

摘要:

对于固定的$l,m \ge 1$,令$\mathbf{X}_n^{(0)},\mathbf{X}_n^{(1)},\dots,\mathbf{X}_n^{(l)}$是具有独立项的独立随机$n \times n$矩阵,令$\mathbf{F}_n^{(0)} := \mathbf{X}_n^{(0)} (\mathbf{X}_n^{(1)})^{-1} \cdots (\mathbf{X}_n^{(l)})^{-1}$和令$\mathbf{F}_n^{(1)},\dots,\mathbf{F}_n^{(m)}$是与$\mathbf{F}_n^{(0)}$具有相同形式的独立随机矩阵。我们研究了矩阵$\mathbf{F}_n^{(0)}$和$\mathbf{F}_n^{(1)} + \dots + \mathbf{F}_n^{(m)}$作为$n \to \infty$的极限光谱分布。我们的主要结果表明,和$\mathbf{F}_n^{(1)} + \dots + \mathbf{F}_n^{(m)}$具有相同的极限特征值分布的$\mathbf{F}_n^{(0)}$经过适当的重新标度。这扩展了Tikhomirov和Timushev(2014)的最新发现。为了得到我们的结果,我们将最近在Götze,Kösters和Tikhomirov(2014)中引入的一般框架应用于独立随机矩阵及其逆的乘积和。我们建立了极限奇异值和特征值分布的普遍性,我们提供了一个更密切的描述的极限分布的自由概率理论。

英文摘要:

For fixed $l,m \ge 1$, let $\mathbf{X}_n^{(0)},\mathbf{X}_n^{(1)},\dots,\mathbf{X}_n^{(l)}$ be independent random $n \times n$ matrices with independent entries, let $\mathbf{F}_n^{(0)} := \mathbf{X}_n^{(0)} (\mathbf{X}_n^{(1)})^{-1} \cdots (\mathbf{X}_n^{(l)})^{-1}$, and let $\mathbf{F}_n^{(1)},\dots,\mathbf{F}_n^{(m)}$ be independent random matrices of the same form as $\mathbf{F}_n^{(0)}$. We investigate the limiting spectral distributions of the matrices $\mathbf{F}_n^{(0)}$ and $\mathbf{F}_n^{(1)} + \dots + \mathbf{F}_n^{(m)}$ as $n \to \infty$. Our main result shows that the sum $\mathbf{F}_n^{(1)} + \dots + \mathbf{F}_n^{(m)}$ has the same limiting eigenvalue distribution as $\mathbf{F}_n^{(0)}$ after appropriate rescaling. This extends recent findings by Tikhomirov and Timushev (2014). To obtain our results, we apply the general framework recently introduced in Götze, Kösters and Tikhomirov (2014) to sums of products of independent random matrices and their inverses. We establish the universality of the limiting singular value and eigenvalue distributions, and we provide a closer description of the limiting distributions in terms of free probability theory.

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