The limiting distributions of large heavy Wigner and arbitrary random matrices

TL;DR

This paper studies the asymptotic joint distributions of large heavy Wigner matrices and arbitrary independent matrices, extending free probability tools with traffic distributions to characterize their limits.

Contribution

It introduces a framework using traffic distributions to analyze the joint limits of heavy Wigner and arbitrary matrices, providing explicit formulas and recursion relations.

Findings

Characterization of joint *-distributions depending on traffic distributions.

Explicit combinatorial formulas for joint moments.

Recursion formulas for moments when Y_N matrices are diagonal.

Abstract

The model of heavy Wigner matrices generalizes the classical ensemble of Wigner matrices: the sub-diagonal entries are independent, identically distributed along to and out of the diagonal, and the moments its entries are of order 1/N, where N is the size of the matrices. Adjacency matrices of Erd\"os-Renyi sparse graphs and matrices with properly truncated heavy tailed entries are examples of heavy Wigner matrices. We consider a family X_N of independent heavy Wigner matrices and a family Y_N of arbitrary random matrices, independent of X_N, with a technical condition (e.g. the matrices of Y_N are deterministic and uniformly bounded in operator norm, or are deterministic diagonal). We characterize the possible limiting joint *-distributions of (X_N,Y_N) in the sense of free probability. We find that they depend on more than the *-distribution of Y_N. We use the notion of distributions of traffics and their free product to quantify the information needed on Y_N and to infer the limiting distribution of (X_N,Y_N). We give an explicit combinatorial formula for joint moments of heavy Wigner and independent random matrices. When the matrices of Y_N are diagonal, we give recursion formulas for these moments. We deduce a new characterization of the limiting eigenvalues distribution of a single heavy Wigner.