Brown measure of the sum of an elliptic operator and a free random variable in a finite von Neumann algebra
arXiv:2108.09844
Abstract
Given an random matrix with i.i.d. entries of unit variance, the circular law says that the empirical spectral distribution (ESD) of converges to the uniform measure on the unit disk. Let be a deterministic matrix that converges in -moments to an operator . It is known from the work by Śniady and Tao--Vu that the ESD of converges to the Brown measure of , where is Voiculescu's circular operator. We obtain a formula for the Brown measure of which provides a description of the limit distribution. This answers a question of Biane--Lehner for arbitrary operator . Generalizing the case of circular and semi-circular operators, we also consider a family of twisted elliptic operators that are -free from . For an arbitrary twisted elliptic operator , possible degeneracy then prevents a direct calculation of the Brown measure of . We instead show that the whole family of Brown measures are the push-forward measures of the Brown measure of under a family of self-maps of the plane, which could possibly be singular. We calculate explicit formula for the case is self-adjoint. In addition, we prove that the Brown measure of the sum of an -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 is assumed to be self-adjoint. The approach is based on a Hermitian reduction and subordination functions.
69 pages, 3 figures, to appear in American Journal of Mathematics