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Poisson statistics at the edge of Gaussian beta-ensembles at high temperature

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arxiv 1804.08214 v5 pith:US5SKJI2 submitted 2018-04-23 math.PR

classification math.PR
keywords betaedgegaussianpoissonpointprocessregimestatistics
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abstract

We study the asymptotic edge statistics of the Gaussian $\beta$-ensemble, a collection of $n$ particles, as the inverse temperature $\beta$ tends to zero as $n$ tends to infinity. In a certain decay regime of $\beta$, the associated extreme point process is proved to converge in distribution to a Poisson point process as $n\to +\infty$. We also extend a well known result on Poisson limit for Gaussian extremes by showing the existence of an edge regime that we did not find in the literature.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Asymptotics of the partition function for $\beta$-ensembles at high temperature

    math.PR 2024-05 unverdicted novelty 7.0 of 10

    Derives all-order large-N asymptotics for the β-ensemble partition function Z_N[V] with Nβ=2P fixed, using loop equations on the thermal equilibrium measure supported on the whole line.

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

    math.PR 2025-07 conditional novelty 6.0 of 10

    For high-temperature 1D log gases, the rescaled largest particle obeys a large deviation principle with the iid rate function x^d - 1, and tridiagonal matrices with Gaussian tails obey the analogous principle with rat...

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