Large deviations at the edge for 1D gases and tridiagonal random matrices at high temperature

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Authors: Charlie Dworaczek Guera, Ronan Memin
Cited by: 0

Abstract

We consider a model for a gas of N confined particles subject to a two-body repulsive interaction, namely the one-dimensional log or Riesz gas. We are interested in the so-called high temperature regime, i.e. when the inverse temperature is given by βN=2α∕N for some α>0. We establish, in the log case, a large deviation (LD) principle and moderate deviations estimates for the largest particle xmax when appropriately rescaled. Our result is in the continuity of [13, 58] where such estimates were shown for the largest particle of the β-ensemble at fixed βN=β>0 and βN≫N−1 respectively. We show that the corresponding rate function is the same as in the case of iid particles. We also provide LD estimates in the Riesz case. Additionally, we consider related models of symmetric tridiagonal random matrices with independent entries having Gaussian tails; for which we establish the LD principle for the top eigenvalue. In a certain specialization of the entries, we recover the result for the largest particle of the log-gas. We show that LD are created by a few entries taking abnormally large values.

Fields of Study & Subjects

Random Matrices and Applications Stochastic processes and statistical mechanics Statistical Mechanics and Entropy

Publication details

Journal / source
Electronic Journal of Probability
Volume
31
Issue
none
Pages
1–27
Publication date
1 January 2026
Language
EN