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Brown measure of the sum of an elliptic operator and a free random variable in a finite von Neumann algebra (2108.09844v4)

Published 22 Aug 2021 in math.OA, math-ph, math.MP, and math.PR

Abstract: Given a $n\times n$ random matrix $X_n$ with i.i.d. entries of unit variance, the circular law says that the empirical spectral distribution (ESD) of $X_n/\sqrt{n}$ converges to the uniform measure on the unit disk. Let $M_n$ be a deterministic matrix that converges in $$-moments to an operator $x_0$. It is known from the work by \'{S}niady and Tao-Vu that the ESD of $X_n/\sqrt{n}+M_n$ converges to the Brown measure of $x_0+c$, where $c$ is Voiculescu's circular operator. We obtain a formula for the Brown measure of $x_0+c$ which provides a description of the limit distribution. This answers a question of Biane-Lehner for arbitrary operator $x_0$. Generalizing the case of circular and semi-circular operators, we also consider a family of twisted elliptic operators that are $$-free from $x_0$. For an arbitrary twisted elliptic operator $g$, possible degeneracy then prevents a direct calculation of the Brown measure of $x_0+g$. We instead show that the whole family of Brown measures are the push-forward measures of the Brown measure of $x_0+c$ under a family of self-maps of the plane, which could possibly be singular. We calculate explicit formula for the case $x_0$ is selfadjoint. In addition, we prove that the Brown measure of the sum of an $R$-diagonal operator and a twisted elliptic element is supported in a deformed ring where the inner boundary is a circle and the outer boundary is an ellipse. These results generalize some known results about free additive Brownian motions where the free random variable $x_0$ is assumed to be selfadjoint. The approach is based on a Hermitian reduction and subordination functions.

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