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arXiv 1404.7013math.PR
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关于随机矩阵椭圆律的一个推广

On one generalization of the elliptic law for random matrices

Friedrich Götze, Alexey Naumov, Alexander Tikhomirov

摘要:

本文考虑$m\ge 2$独立大实随机矩阵与元素的独立向量$(X_{jk}^{(q)},X_{kj}^{(q)})$的乘积。条目$X_{jk}^{(q)},X_{kj}^{(q)}$与$ρ=\mathbb E X_{jk}^{(q)}X_{kj}^{(q)}$相关。这类乘积的本征值经验谱分布的极限分布不依赖于$ρ$,而等于均匀分布在单位圆上的随机变量的$m$次方的分布。

英文摘要:

We consider the products of $m\ge 2$ independent large real random matrices with independent vectors $(X_{jk}^{(q)},X_{kj}^{(q)})$ of entries. The entries $X_{jk}^{(q)},X_{kj}^{(q)}$ are correlated with $ρ=\mathbb E X_{jk}^{(q)}X_{kj}^{(q)}$. The limit distribution of the empirical spectral distribution of the eigenvalues of such products doesn't depend on $ρ$ and equals to the distribution of $m$th power of the random variable uniformly distributed on the unit disc.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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