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