Invariant measures for a stochastic nonlinear and damped 2D Schr\"odinger equation

TL;DR

This paper establishes the existence of invariant measures for a stochastic nonlinear Schrödinger equation with damping on compact manifolds and domains, using advanced probabilistic and analytical techniques.

Contribution

It introduces the first proof of invariant measures for stochastic NLS on manifolds and domains, employing a modified Faedo-Galerkin method and Krylov-Bogoliubov approach.

Findings

Constructed martingale solutions for the stochastic NLS.

Proved pathwise uniqueness of solutions.

Established existence of invariant measures.

Abstract

We consider a stochastic nonlinear defocusing Schr\"{o}dinger equation with zero-order linear damping, where the stochastic forcing term is given by a combination of a linear multiplicative noise in the Stratonovich form and a nonlinear noise in the It\^o form. We work at the same time on compact Riemannian manifolds without boundary and on relatively compact smooth domains with either the Dirichlet or the Neumann boundary conditions, always in dimension 2. We construct a martingale solution using a modified Faedo-Galerkin's method, following arXiv:1707.05610. Then by means of the Strichartz estimates deduced from arXiv:math/0609455 but modified for our stochastic setting we show the pathwise uniqueness of solutions. Finally, we prove the existence of an invariant measure by means of a version of the Krylov-Bogoliubov method, which involves the weak topology, as proposed by Maslowski and Seidler. This is the first result of this type for stochastic NLS on compact Riemannian manifolds without boundary and on relatively compact smooth domains even for an additive noise. Some remarks on the uniqueness in a particular case are provided as well.