Moderate deviation principles for stochastic 2D hydrodynamics type systems with multiplicative Lévy noise

Fuente: arXiv
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Autori principali: Li, Yue, Shang, Shijie
Natura: Preprint
Pubblicazione: 2025
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author Li, Yue
Shang, Shijie
author_facet Li, Yue
Shang, Shijie
contents In this paper, we establish a moderate deviation principle for an abstract nonlinear equation forced by random noise of Lévy type. This type of equation covers many hydrodynamical models, including stochastic 2D Navier-Stokes equations, stochastic 2D MHD equations, the stochastic 2D magnetic Bérnard problem, and also several stochastic shell models of turbulence. This paper gets rid of the compact embedding assumption on the associated Gelfand triple. The weak convergence method plays an important role.
format Preprint
id arxiv_https___arxiv_org_abs_2502_07137
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Moderate deviation principles for stochastic 2D hydrodynamics type systems with multiplicative Lévy noise
Li, Yue
Shang, Shijie
Probability
60H15, 60F10, 60J75, 37L55
In this paper, we establish a moderate deviation principle for an abstract nonlinear equation forced by random noise of Lévy type. This type of equation covers many hydrodynamical models, including stochastic 2D Navier-Stokes equations, stochastic 2D MHD equations, the stochastic 2D magnetic Bérnard problem, and also several stochastic shell models of turbulence. This paper gets rid of the compact embedding assumption on the associated Gelfand triple. The weak convergence method plays an important role.
title Moderate deviation principles for stochastic 2D hydrodynamics type systems with multiplicative Lévy noise
topic Probability
60H15, 60F10, 60J75, 37L55
url https://arxiv.org/abs/2502.07137