English

On Inviscid Limits for the Stochastic Navier-Stokes Equations and Related Models

Analysis of PDEs 2013-02-05 v1 Probability

Abstract

We study inviscid limits of invariant measures for the 2D Stochastic Navier-Stokes equations. As shown in \cite{Kuksin2004} the noise scaling ν\sqrt{{\nu}} is the only one which leads to non-trivial limiting measures, which are invariant for the 2D Euler equations. We show that any limiting measure μ0\mu_{0} is in fact supported on bounded vorticities. Relationships of μ0\mu_{0} to the long term dynamics of Euler in the LL^{\infty} with the weak^{*} topology are discussed. In view of the Batchelor-Krainchnan 2D turbulence theory, we also consider inviscid limits for the weakly damped stochastic Navier-Stokes equation. In this setting we show that only an order zero noise (i.e. the noise scaling ν0\nu^0) leads to a nontrivial limiting measure in the inviscid limit.

Keywords

Cite

@article{arxiv.1302.0542,
  title  = {On Inviscid Limits for the Stochastic Navier-Stokes Equations and Related Models},
  author = {Nathan Glatt-Holtz and Vladimir Sverak and Vlad Vicol},
  journal= {arXiv preprint arXiv:1302.0542},
  year   = {2013}
}