Quasipotential and exit time for 2D Stochastic Navier-Stokes equations driven by space time white noise

Abstract

We are dealing with the Navier-Stokes equation in a bounded regular domain $D$ of ${ℝ}^2$, perturbed by an additive Gaussian noise $\partial w^{\delta }∕\partial t$, that is white in time and colored in space. We assume that the correlation radius of the noise gets smaller and smaller as $\delta \searrow 0$, so that the noise converges to the white noise in space and time. For every $\delta >0$ we introduce the large deviation action functional $S_{0,T}^{\delta }$ and the corresponding quasi-potential $U_{\delta }$ and, by using arguments from relaxation and $\Gamma$-convergence we show that $U_{\delta }$ converges to a limiting quasi-potential $U_0$, in spite of the fact that the Navier-Stokes equation has no meaning in the space of square integrable functions, when perturbed by space-time white noise. Moreover, in the case of periodic boundary conditions the limiting functional $U_0$ is explicitly computed.

Finally, we apply these results to estimate the asymptotics of the expected exit time of the solution of the stochastic Navier-Stokes equation from a basin of attraction of an asymptotically stable point for the unperturbed system.

This talk is based on a joint work with Sandra Cerrai and Mark Freidlin.