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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 σ[0,2)\sigma\in[0,2) and σ[0,)\sigma\in[0,\infty) 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

R2 v1 2026-06-28T09:43:14.211Z