Linear statistics and pushed Coulomb gas at the edge of beta random matrices: four paths to large deviations
Abstract
The Airy point process, , describes the eigenvalues at the edge of the Gaussian ensembles of random matrices for large matrix size . We study the probability distribution function (PDF) of linear statistics for large parameter . We show the large deviation forms and for the cumulant generating function and the PDF. We obtain the exact rate function using four apparently different methods (i) the electrostatics of a Coulomb gas (ii) a random Schr\"odinger problem, i.e. the stochastic Airy operator (iii) a cumulant expansion (iv) a non-local non-linear differential Painlev\'e type equation. Each method was independently introduced to obtain the lower tail of the KPZ equation. Here we show their equivalence in a more general framework. Our results are obtained for a class of functions , the monotonous soft walls, containing the monomials and the exponential and equivalently describe the response of a Coulomb gas pushed at its edge. The small behavior of the excess energy exhibits a change at between a non-perturbative hard wall like regime for (third order free-to-pushed transition) and a perturbative deformation of the edge for (higher order transition). Applications are given, among them: (i) truncated linear statistics such as , leading to a formula for the PDF of the ground state energy of noninteracting fermions in a linear plus random potential (ii) interacting spinless fermions in a trap at the edge of a Fermi gas (iii) traces of large powers of random matrices.
Keywords
Cite
@article{arxiv.1811.00509,
title = {Linear statistics and pushed Coulomb gas at the edge of beta random matrices: four paths to large deviations},
author = {Alexandre Krajenbrink and Pierre Le Doussal},
journal= {arXiv preprint arXiv:1811.00509},
year = {2019}
}
Comments
Main text : 8 pages. Supp mat : 49 pages