Strong large deviation principles for pair empirical measures of random walks in the Mukherjee-Varadhan topology

Fuente: arXiv
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Main Authors: Erhard, Dirk, Poisat, Julien
Format: Preprint
Published: 2023
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author Erhard, Dirk
Poisat, Julien
author_facet Erhard, Dirk
Poisat, Julien
contents In this paper we introduce a topology under which the pair empirical measure of a large class of random walks satisfies a strong Large Deviation principle. The definition of the topology is inspired by the recent article by Mukherjee and Varadhan~\cite{MV2016}. This topology is natural for translation-invariant problems such as the downward deviations of the volume of a Wiener sausage or simple random walk, known as the Swiss cheese model~\cite{BBH2001}. We also adapt our result to some rescaled random walks and provide a contraction principle to the single empirical measure despite a lack of continuity from the projection map, using the notion of diagonal tightness.
format Preprint
id arxiv_https___arxiv_org_abs_2304_00814
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Strong large deviation principles for pair empirical measures of random walks in the Mukherjee-Varadhan topology
Erhard, Dirk
Poisat, Julien
Probability
In this paper we introduce a topology under which the pair empirical measure of a large class of random walks satisfies a strong Large Deviation principle. The definition of the topology is inspired by the recent article by Mukherjee and Varadhan~\cite{MV2016}. This topology is natural for translation-invariant problems such as the downward deviations of the volume of a Wiener sausage or simple random walk, known as the Swiss cheese model~\cite{BBH2001}. We also adapt our result to some rescaled random walks and provide a contraction principle to the single empirical measure despite a lack of continuity from the projection map, using the notion of diagonal tightness.
title Strong large deviation principles for pair empirical measures of random walks in the Mukherjee-Varadhan topology
topic Probability
url https://arxiv.org/abs/2304.00814