Brown Measures of Free Circular and Multiplicative Brownian Motions with Self-Adjoint and Unitary Initial Conditions
arXiv:1908.08150
Abstract
Let be a Ginibre ensemble and let be a Hermitian random matrix independent from such that converges in distribution to a self-adjoint random variable . For each , the random matrix converges in -distribution to , where is the circular variable of variance , free from . We use the Hamilton-Jacobi method to compute the Brown measure of . The Brown measure has a density that is constant along the vertical direction inside the support. The support of the Brown measure of is related to the subordination function of the free additive convolution of , where is the semicircular variable of variance , free from . Furthermore, the push-forward of by a natural map is the law of . Let be the Brownian motion on the general linear group and let be a unitary random matrix independent from such that converges in distribution to a unitary random variable . The random matrix converges in -distribution to where is the free multiplicative Brownian motion, free from . We compute the Brown measure of , extending the recent work by Driver-Hall-Kemp, which corresponds to the case . The measure has a density of the special form \[\frac{1}{r^2}w_t(θ)\] in polar coordinates in its support. The support of is related to the subordination function of the free multiplicative convolution of where is the free unitary Brownian motion, free from . The push-forward of by a natural map is the law of . We compute the explicit formula for the special case where is Haar unitary. The support of the Brown measure of is an annulus; in its support, the density in polar coordinates is given by \[\frac{1}{2πt}\frac{1}{r^2}.\]