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Poisson statistics for beta ensembles on the real line at high temperature

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arxiv 1910.00766 v2 pith:L2NXBYKH submitted 2019-10-02 math.PR

classification math.PR
keywords betaregimetemperatureensembleshighlinelocalpoisson
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abstract

This paper studies beta ensembles on the real line in a high temperature regime, that is, the regime where $\beta N \to const \in (0, \infty)$, with $N$ the system size and $\beta$ the inverse temperature. In this regime, the convergence to the equilibrium measure is a consequence of a recent result on large deviation principle by Liu and Wu (Stochastic Processes and their Applications (2019)). This paper focuses on the local behavior and shows that the local statistics around any fixed reference energy converges weakly to a homogeneous Poisson point process.

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  1. CLT for Circular beta-Ensembles at High Temperature

    math.PR 2019-09 conditional novelty 7.0 of 10

    The scaled fluctuations of the Circular beta-Ensemble at inverse temperature beta/N converge to a Gaussian process with variance <psi, L^{-1} psi>_H, interpolating from the L2 norm to the H^{1/2} norm.

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