Large deviations principle for the largest eigenvalue of the Gaussian beta-ensemble at high temperature
Cambyse Pakzad

TL;DR
This paper establishes a large deviations principle for the largest eigenvalue of the Gaussian beta-ensemble when the inverse temperature parameter scales between 1/n and 1, revealing its probabilistic behavior at high temperature.
Contribution
It provides the first large deviations result for the largest eigenvalue in the high-temperature regime of the Gaussian beta-ensemble with explicit rate function.
Findings
Largest eigenvalue satisfies a large deviations principle with speed nβ.
Largest eigenvalue converges in probability to 2.
Explicit rate function for the large deviations.
Abstract
We consider the Gaussian beta-ensemble when scales with the number of particles such that . Under a certain regime for , we show that the largest particle satisfies a large deviations principle in with speed and explicit rate function. As a consequence, the largest particle converges in probability to , the rightmost point of the semicircle law.
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
