The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory
Disordered Systems and Neural Networks
2020-12-02 v1 Statistical Mechanics
Statistics Theory
Methodology
Statistics Theory
Abstract
We present a simple, perturbative approach for calculating spectral densities for random matrix ensembles in the thermodynamic limit we call the Perturbative Resolvent Method (PRM). The PRM is based on constructing a linear system of equations and calculating how the solutions to these equation change in response to a small perturbation using the zero-temperature cavity method. We illustrate the power of the method by providing simple analytic derivations of the Wigner Semi-circle Law for symmetric matrices, the Marchenko-Pastur Law for Wishart matrices, the spectral density for a product Wishart matrix composed of two square matrices, and the Circle and elliptic laws for real random matrices.
Keywords
Cite
@article{arxiv.2012.00663,
title = {The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory},
author = {Wenping Cui and Jason W. Rocks and Pankaj Mehta},
journal= {arXiv preprint arXiv:2012.00663},
year = {2020}
}
Comments
15 page, 4 figures