Global solutions to random 3D vorticity equations for small initial data

Abstract

One proves the existence and uniqueness in (Lp(R3))3, 32<p<2, of a global mild solution to random vorticity equations associated to stochastic 3D Navier–Stokes equations with linear multiplicative Gaussian noise of convolution type, for sufficiently small initial vorticity. This resembles some earlier deterministic results of T. Kato [16] and are obtained by treating the equation in vorticity form and reducing the latter to a random nonlinear parabolic equation. The solution has maximal regularity in the spatial variables and is weakly continuous in (L3∩L3p4p−6)3 with respect to the time variable. Furthermore, we obtain the pathwise continuous dependence of solutions with respect to the initial data. In particular, one gets a locally unique solution of 3D stochastic Navier–Stokes equation in vorticity form up to some explosion stopping time τ adapted to the Brownian motion.