Invariant measures for stochastic 3D Lagrangian-averaged Navier–Stokes equations with infinite delay
Shuang Yang, Tomás Caraballo, Yangrong Li
Abstract
In this paper we investigate stochastic dynamics and invariant measures for stochastic 3D Lagrangian-averaged Navier–Stokes (LANS) equations driven by infinite delay and additive noise. We first use Galerkin approximations, a priori estimates and the standard Gronwall lemma to show the well-posedness for the corresponding random equation, whose solution operators generate a random dynamical system. Next, the asymptotic compactness for the random dynamical system is established via the Ascoli–Arzelà theorem. Besides, we derive the existence of a global random attractor for the random dynamical system. Moreover, we prove that the random dynamical system is bounded and continuous with respect to the initial values. Eventually, we construct a family of invariant Borel probability measures, which is supported by the global random attractor.