Top eigenvalue of a random matrix: large deviations and third order phase transition
Abstract
We study the fluctuations of the largest eigenvalue of random matrices in the limit of large . The main focus is on Gaussian -ensembles, including in particular the Gaussian orthogonal (), unitary () and symplectic () ensembles. The probability density function (PDF) of consists, for large , of a central part described by Tracy-Widom distributions flanked, on both sides, by two large deviations tails. While the central part characterizes the typical fluctuations of -- of order --, the large deviations tails are instead associated to extremely rare fluctuations -- of order . Here we review some recent developments in the theory of these extremely rare events using a Coulomb gas approach. We discuss in particular the third-order phase transition which separates the left tail from the right tail, a transition akin to the so-called Gross-Witten-Wadia phase transition found in 2-d lattice quantum chromodynamics. We also discuss the occurrence of similar third-order transitions in various physical problems, including non-intersecting Brownian motions, conductance fluctuations in mesoscopic physics and entanglement in a bipartite system.
Cite
@article{arxiv.1311.0580,
title = {Top eigenvalue of a random matrix: large deviations and third order phase transition},
author = {Satya N. Majumdar and Gregory Schehr},
journal= {arXiv preprint arXiv:1311.0580},
year = {2015}
}
Comments
32 pages, 8 figures, contribution to Statphys25 (Seoul, 2013) proceedings. Revised version where references have been added and typos corrected