Inviscid Limit of the Stochastic Hyperviscous Navier-Stokes Equations and Invariant Measures for the Euler Equations in $\mathbb R^2$

Fuente: arXiv
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Autores principales: Brzeźniak, Zdzisław, Ferrari, Matteo
Formato: Preprint
Publicado: 2024
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author Brzeźniak, Zdzisław
Ferrari, Matteo
author_facet Brzeźniak, Zdzisław
Ferrari, Matteo
contents We prove the existence and some moment estimates for an invariant measure $μ$ for the two-dimensional ($2$D) deterministic Euler equations on the unbounded domain $\mathbb R^2$ and with highly regular initial data. The result is achieved by first showing the existence of Markov stationary processes which solve the hyperviscous $2$D Navier-Stokes equations with kinematic viscosity $ν>0$ and an additive stochastic noise scaling as $\sqrt ν$. We then study the inviscid limit and prove that, as $ν$ tends to $0$, these processes converge, in an appropriate trajectory space, to a pathwise stationary solution to the Euler equations. Its law is the sought invariant measure $μ$.
format Preprint
id arxiv_https___arxiv_org_abs_2409_17697
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Inviscid Limit of the Stochastic Hyperviscous Navier-Stokes Equations and Invariant Measures for the Euler Equations in $\mathbb R^2$
Brzeźniak, Zdzisław
Ferrari, Matteo
Probability
Analysis of PDEs
We prove the existence and some moment estimates for an invariant measure $μ$ for the two-dimensional ($2$D) deterministic Euler equations on the unbounded domain $\mathbb R^2$ and with highly regular initial data. The result is achieved by first showing the existence of Markov stationary processes which solve the hyperviscous $2$D Navier-Stokes equations with kinematic viscosity $ν>0$ and an additive stochastic noise scaling as $\sqrt ν$. We then study the inviscid limit and prove that, as $ν$ tends to $0$, these processes converge, in an appropriate trajectory space, to a pathwise stationary solution to the Euler equations. Its law is the sought invariant measure $μ$.
title Inviscid Limit of the Stochastic Hyperviscous Navier-Stokes Equations and Invariant Measures for the Euler Equations in $\mathbb R^2$
topic Probability
Analysis of PDEs
url https://arxiv.org/abs/2409.17697