Polynomial Mixing for a Weakly Damped Stochastic Nonlinear Schr\"{o}dinger Equation
Probability
2023-04-03 v1 Dynamical Systems
Abstract
This paper is devoted to proving the polynomial mixing for a weakly damped stochastic nonlinear Schr\"{o}dinger equation with additive noise on a 1D bounded domain. The noise is white in time and smooth in space. We consider both focusing and defocusing nonlinearities, respectively, with exponents of the nonlinearity and and prove the polynomial mixing which implies the uniqueness of the invariant measure by using a coupling method.
Keywords
Cite
@article{arxiv.2303.18082,
title = {Polynomial Mixing for a Weakly Damped Stochastic Nonlinear Schr\"{o}dinger Equation},
author = {Jing Guo and Zhenxin Liu},
journal= {arXiv preprint arXiv:2303.18082},
year = {2023}
}
Comments
21 pages, no figure