English

Large deviations for the two-dimensional stochastic Navier-Stokes equation with vanishing noise correlation

Probability 2016-03-09 v1

Abstract

We are dealing with the validity of a large deviation principle for the two-dimensional Navier-Stokes equation, with periodic boundary conditions, perturbed by a Gaussian random forcing. We are here interested in the regime where both the strength of the noise and its correlation are vanishing, on a length scale \e\e and \d(\e)\d(\e), respectively, with 0<\e, \d(\e)<<10<\e,\ \d(\e)<<1. Depending on the relationship between \e\e and \d(\e)\d(\e) we will prove the validity of the large deviation principle in different functional spaces.

Keywords

Cite

@article{arxiv.1603.02527,
  title  = {Large deviations for the two-dimensional stochastic Navier-Stokes equation with vanishing noise correlation},
  author = {Sandra Cerrai and Arnaud Debussche},
  journal= {arXiv preprint arXiv:1603.02527},
  year   = {2016}
}
R2 v1 2026-06-22T13:06:27.035Z