Heavy tailed large deviations for time averages of diffusions: the Ornstein-Uhlenbeck case

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1. Verfasser: Ferré, Grégoire
Format: Preprint
Veröffentlicht: 2024
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author Ferré, Grégoire
author_facet Ferré, Grégoire
contents We study large deviations for the time average of the Ornstein-Uhlenbeck process raised to an arbitrary power. We prove that beyond a critical value, large deviations are subexponential in time, with a non-convex rate function whose main coefficient is given by the solution to a Hamilton-Jacobi problem. Although a similar problem was addressed in a recent work, the originality of the paper is to provide a short, self-contained proof of this result through a couple of standard large deviations arguments.
format Preprint
id arxiv_https___arxiv_org_abs_2402_16992
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Heavy tailed large deviations for time averages of diffusions: the Ornstein-Uhlenbeck case
Ferré, Grégoire
Probability
Statistical Mechanics
We study large deviations for the time average of the Ornstein-Uhlenbeck process raised to an arbitrary power. We prove that beyond a critical value, large deviations are subexponential in time, with a non-convex rate function whose main coefficient is given by the solution to a Hamilton-Jacobi problem. Although a similar problem was addressed in a recent work, the originality of the paper is to provide a short, self-contained proof of this result through a couple of standard large deviations arguments.
title Heavy tailed large deviations for time averages of diffusions: the Ornstein-Uhlenbeck case
topic Probability
Statistical Mechanics
url https://arxiv.org/abs/2402.16992