Abstract

We investigate the marginal distribution of the bottom eigenvalues of the stochastic Airy operator when the inverse temperature ββ tends to 00. We prove that the minimal eigenvalue, whose fluctuations are governed by the Tracy-Widom ββ law, converges weakly, when properly centered and scaled, to the Gumbel distribution. More generally we obtain the convergence in law of the marginal distribution of any eigenvalue with given index kk. Those convergences are obtained after a careful analysis of the explosion times process of the Riccati diffusion associated to the stochastic Airy operator. We show that the empirical measure of the explosion times converges weakly to a Poisson point process using estimates proved in [L. Dumaz and B. Virág. Ann. Inst. H. Poincaré Probab. Statist. 49, 4, 915-933, (2013)]. We further compute the empirical eigenvalue density of the stochastic Airy ensemble on the macroscopic scale when β→0β\to 0. As an application, we investigate the maximal eigenvalues statistics of βNβ_N-ensembles when the repulsion parameter βN→0β_N\to 0 when N→+∞N\to +\infty. We study the double scaling limit N→+∞,βN→0N\to +\infty, β_N \to 0 and argue with heuristic and numerical arguments that the statistics of the marginal distributions can be deduced following the ideas of [A. Edelman and B. D. Sutton. J. Stat. Phys. 127, 6, 1121-1165 (2007)] and [J. A. Ramírez, B. Rider and B. Virág. J. Amer. Math. Soc. 24, 919-944 (2011)] from our later study of the stochastic Airy operator.

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