2024/09/03 by Sarapin, Roman
#60B20 #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph) #Probability (math.PR)
paper · doi:10.48550/arxiv.2409.02314
Consider the n× n matrix Xn=An+Hn, where An is a n× n matrix (either deterministic or random) and Hn is a n× n matrix independent from An drawn from complex Ginibre ensemble. We study the limiting eigenvalue distribution of Xn. In arXiv:0807.4898 it was shown that the eigenvalue distribution of Xn converges to some deterministic measure. This measure is known for the case An=0. Under some general convergence conditions on An we prove a formula for the density of the limiting measure. We also obtain an estimation on the rate of convergence of the distribution. The approach used here is based on supersymmetric integration.