Level-3 large deviations for the white-forced 2D Navier-Stokes system in a bounded domain

Fuente: arXiv
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Main Author: Zhao, Meng
Format: Preprint
Published: 2025
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author Zhao, Meng
author_facet Zhao, Meng
contents We study the large deviations principle (LDP) of Donsker-Varadhan type for the white-forced Navier-Stokes system in a bounded domain. Under the assumption that the noise is non-degenerate, we establish level-2 and level-3 LDPs with rate functions given by the Donsker-Varadhan formulas. The proof relies on an improved version of Kifer's criterion, a lift argument inspired from [DV83], an improved abstract result on the large-time asymptotics of generalized Markov semigroups, and a delicate approximation scheme utilizing the resolvent operators of the Markov semigroup.
format Preprint
id arxiv_https___arxiv_org_abs_2506_14119
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Level-3 large deviations for the white-forced 2D Navier-Stokes system in a bounded domain
Zhao, Meng
Analysis of PDEs
Probability
We study the large deviations principle (LDP) of Donsker-Varadhan type for the white-forced Navier-Stokes system in a bounded domain. Under the assumption that the noise is non-degenerate, we establish level-2 and level-3 LDPs with rate functions given by the Donsker-Varadhan formulas. The proof relies on an improved version of Kifer's criterion, a lift argument inspired from [DV83], an improved abstract result on the large-time asymptotics of generalized Markov semigroups, and a delicate approximation scheme utilizing the resolvent operators of the Markov semigroup.
title Level-3 large deviations for the white-forced 2D Navier-Stokes system in a bounded domain
topic Analysis of PDEs
Probability
url https://arxiv.org/abs/2506.14119