Linear statistics and pushed Coulomb gas at the edge of beta random matrices: four paths to large deviations
Abstract
The Airyβ point process, ai N2/3 (λi-2), describes the eigenvalues λi at the edge of the Gaussian β ensembles of random matrices for large matrix size N ∞. We study the probability distribution function (PDF) of linear statistics L= Σi t (t-2/3 ai) for large parameter t. We show the large deviation forms E Airy,β[(- L)] (- t2 []) and P( L) (- t2 G(L/t2)) 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 (x)=(u+x)+γ and the exponential (x)=eu+x and equivalently describe the response of a Coulomb gas pushed at its edge. The small u behavior of the excess energy [] exhibits a change at γ=3/2 between a non-perturbative hard wall like regime for γ<3/2 (third order free-to-pushed transition) and a perturbative deformation of the edge for γ>3/2 (higher order transition). Applications are given, among them: (i) truncated linear statistics such as Σi=1N1 ai, leading to a formula for the PDF of the ground state energy of N1 1 noninteracting fermions in a linear plus random potential (ii) (β-2)/r2 interacting spinless fermions in a trap at the edge of a Fermi gas (iii) traces of large powers of random matrices.
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