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arXiv 1506.02017math.OAmath.PR
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非厄米特随机矩阵的特征值与非正规算子的Brown测度:厄米特约化与线性化方法

Eigenvalues of non-hermitian random matrices and Brown measure of non-normal operators: hermitian reduction and linearization method

Serban Belinschi, Piotr Sniady, Roland Speicher

摘要:

本文研究了Voiculescu自由概率论中某些非厄米算子的Brown测度.这些算子通常表现为某些非厄米特随机矩阵集合的 *-矩的极限,而布朗测度则给出了随机矩阵极限特征值分布的一个典型候选。我们的算子的一个突出的类是由 *-自由变元中的多项式给出的。其他显式例子包括R-对角元素和椭圆元素,其中布朗测度是已知的,以及一类新的三角椭圆元素。我们的方法计算布朗措施是基于严格的数学处理的厄米减少方法,考虑在物理文献中,结合从属思想和线性化技巧。

英文摘要:

We study the Brown measure of certain non-hermitian operators arising from Voiculescu's free probability theory. Usually those operators appear as the limit in *-moments of certain ensembles of non-hermitian random matrices, and the Brown measure gives then a canonical candidate for the limit eigenvalue distribution of the random matrices. A prominent class for our operators is given by polynomials in *-free variables. Other explicit examples include R-diagonal elements and elliptic elements, for which the Brown measure was already known, and a new class of triangular-elliptic elements. Our method for the calculation of the Brown measure is based on a rigorous mathematical treatment of the hermitian reduction method, as considered in the physical literature, combined with subordination ideas and the linearization trick.

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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