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

abstract: Given an $n\times n$ 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 $x$. It is known from the work by Śniady and Tao--Vu that the ESD of $X_n/\sqrt{n}+M_n$ converges to the Brown measure of $x+c$, where $c$ is Voiculescu's circular operator. We obtain a formula for the Brown measure of $x+c$ which provides a description of the limit distribution. This answers a question of Biane--Lehner for arbitrary operator $x$. Generalizing the case of circular and semi-circular operators, we also consider a family of twisted elliptic operators that are $*$-free from $x$. For an arbitrary twisted elliptic operator $g$, possible degeneracy then prevents a direct calculation of the Brown measure of $x+g$. We instead show that the whole family of Brown measures are the push-forward measures of the Brown measure of $x+c$ under a family of self-maps of the plane, which could possibly be singular. We calculate explicit formula for the case $x$ is self-adjoint. 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 $x$ is assumed to be self-adjoint. The approach is based on a Hermitian reduction and subordination functions.

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Publication Details

Journal
American Journal of Mathematics
Published
2026-01-23
DOI
https://doi.org/10.1353/ajm.2026.a980771
Primary Topic
Random Matrices and Applications
Type
article
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article

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

Ping Zhong
American Journal of Mathematics
Random Matrices and Applications
article

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

Ping Zhong
article en

Abstract

abstract: Given an $n\times n$ 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 $x$. It is known from the work by Śniady and Tao--Vu that the ESD of $X_n/\sqrt{n}+M_n$ converges to the Brown measure of $x+c$, where $c$ is Voiculescu's circular operator. We obtain a formula for the Brown measure of $x+c$ which provides a description of the limit distribution. This answers a question of Biane--Lehner for arbitrary operator $x$. Generalizing the case of circular and semi-circular operators, we also consider a family of twisted elliptic operators that are $*$-free from $x$. For an arbitrary twisted elliptic operator $g$, possible degeneracy then prevents a direct calculation of the Brown measure of $x+g$. We instead show that the whole family of Brown measures are the push-forward measures of the Brown measure of $x+c$ under a family of self-maps of the plane, which could possibly be singular. We calculate explicit formula for the case $x$ is self-adjoint. 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 $x$ is assumed to be self-adjoint. The approach is based on a Hermitian reduction and subordination functions.

American Journal of MathematicsVol. 148(1)
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Brown measure of the sum of an elliptic operator and a free random variable in a finite von Neumann algebra — Ping Zhong · American Journal of Mathematics (2026) | TGRS Research Map | TGRS