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Exponential mixing for the randomly forced NLS equation

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arxiv 2506.10318 v2 pith:UDKWH5JI submitted 2025-06-12 math.AP math.DSmath.OCmath.PR

Exponential mixing for the randomly forced NLS equation

classification math.AP math.DSmath.OCmath.PR
keywords exponentialforcedrandomlyequationmixingpropertiesrandomasymptotic
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This paper investigates exponential mixing of the invariant measure for randomly forced nonlinear Schr\"{o}dinger equation, with damping and random noise localized in space. Our study emphasizes the crucial role of exponential asymptotic compactness and control properties in establishing the ergodic properties of random dynamical systems. This work extends the series [16, 47] on the statistical behavior of randomly forced dispersive equations.

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Cited by 3 Pith papers

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  1. Exponential mixing for the stochastic Allen--Cahn equation with localized white noise

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    The 1D stochastic Allen-Cahn equation with localized white noise admits a unique invariant measure and its Markov process is exponentially mixing.

  2. Exponential mixing for nonlinear Schr\"odinger equations perturbed by bounded degenerate noise

    math.AP 2026-04 unverdicted novelty 7.0

    Exponential mixing to a unique invariant measure is established for locally damped NLS with bounded degenerate noise on two modes using a new criterion based on asymptotic compactness of the linearized system.

  3. A note on the strong Feller property via the moment method

    math.PR 2026-05 unverdicted novelty 3.0

    Proves the strong Feller property for the Markov process of the 1D stochastic heat equation using Malliavin calculus combined with the moment method.