The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory
Wenping Cui, Jason W. Rocks, Pankaj Mehta

TL;DR
The paper introduces the Perturbative Resolvent Method (PRM), a straightforward perturbative technique for deriving spectral densities of various random matrix ensembles in the large-size limit, simplifying existing derivations.
Contribution
The paper presents the PRM, a new perturbative approach that simplifies the calculation of spectral densities for multiple random matrix ensembles using the cavity method.
Findings
Derived the Wigner Semi-circle Law analytically
Obtained the Marchenko-Pastur Law through the method
Calculated spectral densities for product Wishart matrices
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Quantum optics and atomic interactions
