4.3 Article

Large deviations for empirical measures of mean-field Gibbs measures

期刊

STOCHASTIC PROCESSES AND THEIR APPLICATIONS
卷 130, 期 2, 页码 503-520

出版社

ELSEVIER
DOI: 10.1016/j.spa.2019.01.008

关键词

Large deviations; Empirical measure; U-statistics; Interacting particle systems; McKean-Vlasov equation; Mean-field Gibbs measure

资金

  1. CSC
  2. NSFC [11731009, 11571262]

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In this paper, we show that the empirical measure of mean-field model satisfies the large deviation principle with respect to the weak convergence topology or the stronger Wasserstein metric, under the strong exponential integrability condition on the negative part of the interaction potentials. In contrast to the known results we prove this without any continuity or boundedness condition on the interaction potentials. The proof relies mainly on the law of large numbers and the exponential decoupling inequality of de la Pena for U-statistics. (C) 2019 Elsevier B.V. All rights reserved.

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