Solution to the Navier-Stokes equations with random initial data

Abstract

We construct a solution to the spatially periodic $d$-dimensional Navier-Stokes equations with a given distribution of the initial data. The solution takes values in the Sobolev space $H^{\alpha }$, where the index $\alpha \in R$ is fixed arbitrary. The distribution of the initial value is a Gaussian measure on $H^{\alpha }$ whose parameters depend on $\alpha$. The Navier-Stokes solution is then a stochastic process verifying the Navier-Stokes equations almost surely. It is obtained as a limit in distribution of solutions to finite-dimensional ODEs which are Galerkin-type approximations for the Navier-Stokes equations. Moreover, the constructed Navier-Stokes solution $U(t,\omega )$ possesses the property: $$E[f(U(t,\omega ))]={\int }_{H^{\alpha }}f(e^{t\nu \Delta }u)\gamma (du)$$, where $f\in L_1(\gamma )$, $e^{t\Delta }$ is the heat semigroup, $\nu$ is the viscosity in the Navier-Stokes equations, and $\gamma$ is the distribution of the initial data.

This paper has been withdrawn by the author due to an error that the author failed to correct

References in corpus (1)

• Generalized solutions of the Cauchy problem for the Navier-Stokes system and diffusion processes