Large deviations principle for the invariant measures of the 2D stochastic Navier-Stokes equations on a torus

Zdzislaw Brzezniak; Sandra Cerrai

doi:10.1016/j.jfa.2017.05.008

Large deviations principle for the invariant measures of the 2D stochastic Navier-Stokes equations on a torus

Zdzislaw Brzezniak, Sandra Cerrai

Mathematics

Research output: Contribution to journal › Article › peer-review

Abstract

We prove here the validity of a large deviation principle for the family of invariant measures associated to a two dimensional Navier-Stokes equation on a torus, perturbed by a smooth additive noise.

Original language	English
Pages (from-to)	1891-1930
Number of pages	40
Journal	Journal of Functional Analysis
Volume	273
Issue number	6
Early online date	8 Jun 2017
DOIs	https://doi.org/10.1016/j.jfa.2017.05.008
Publication status	Published - 15 Sept 2017

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

Access to Document

10.1016/j.jfa.2017.05.008

BC_May02_2017
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Accepted author manuscript, 131 KBLicence: CC BY-NC-ND
1-s2.0-S0022123617302100-main
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Accepted author manuscript, 436 KBLicence: CC BY-NC-ND

Cite this

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