paper

On the Brown measure of , with selfadjoint and free Poisson

arXiv:2512.23528

Abstract

Let be freely independent selfadjoint elements in a -probability space, where has free Poisson distribution of parameter . We pursue a methodology for computing the Brown measure of , which relies on the matrix-valued subordination function of the hermitization of , and on the fact that has an explicitly described left inverse . Our main point is that the Brown measure of becomes more approachable when it is reparametrized via a certain change of variable , with open subsets of , where and are defined in terms of the aforementioned left inverse , and contains the support of the absolutely continuous part of Brown measure. More precisely, we find (with some conditions on the distribution of ) the following formula: \[ f(s + i \, t) =\frac{1}{2 π}\left[\frac{1}{t}\left(\frac{\partial α}{\partial s} +\frac{\partial β}{\partial t}\right)-\frac{1}{t}-\fracβ{t^2}\right], \ \ s + i \, t \in \mathcal{M}, \] where is the density of the absolutely continuous part of the Brown measure and the functions are the real and respectively the imaginary part of . We show that if has an atom with , then the Brown measure of has an atom of mass at the same point . Moreover we prove that if is the list of atoms of with mass bigger than , then the Brown measure of is supported on .

Major revision: main assumption is changed, in the new version we describe the atoms of the Brown measure