Limiting eigenvalue distribution of the general deformed Ginibre ensemble

Fuente: arXiv
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Main Author: Sarapin, Roman
Format: Preprint
Published: 2024
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author Sarapin, Roman
author_facet Sarapin, Roman
contents Consider the $n\times n$ matrix $X_n=A_n+H_n$, where $A_n$ is a $n\times n$ matrix (either deterministic or random) and $H_n$ is a $n\times n$ matrix independent from $A_n$ drawn from complex Ginibre ensemble. We study the limiting eigenvalue distribution of $X_n$. In arXiv:0807.4898 it was shown that the eigenvalue distribution of $X_n$ converges to some deterministic measure. This measure is known for the case $A_n=0$. Under some general convergence conditions on $A_n$ 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02314
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Limiting eigenvalue distribution of the general deformed Ginibre ensemble
Sarapin, Roman
Mathematical Physics
Probability
60B20
Consider the $n\times n$ matrix $X_n=A_n+H_n$, where $A_n$ is a $n\times n$ matrix (either deterministic or random) and $H_n$ is a $n\times n$ matrix independent from $A_n$ drawn from complex Ginibre ensemble. We study the limiting eigenvalue distribution of $X_n$. In arXiv:0807.4898 it was shown that the eigenvalue distribution of $X_n$ converges to some deterministic measure. This measure is known for the case $A_n=0$. Under some general convergence conditions on $A_n$ 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.
title Limiting eigenvalue distribution of the general deformed Ginibre ensemble
topic Mathematical Physics
Probability
60B20
url https://arxiv.org/abs/2409.02314