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Exponential mixing for random nonlinear wave equations: weak dissipation and localized control

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arxiv 2407.15058 v1 pith:UOO4SNOU submitted 2024-07-21 math.AP math.DSmath.OCmath.PR

Exponential mixing for random nonlinear wave equations: weak dissipation and localized control

classification math.AP math.DSmath.OCmath.PR
keywords equationsexponentiallocalizedmixingrandomsystemscontrolcriterion
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We establish a new criterion for exponential mixing of random dynamical systems. Our criterion is applicable to a wide range of systems, including in particular dispersive equations. Its verification is in nature related to several topics, i.e., asymptotic compactness in dynamical systems, global stability of evolution equations, and localized control problems. As an initial application, we exploit the exponential mixing of random nonlinear wave equations with degenerate damping, critical nonlinearity, and physically localized noise. The essential challenge lies in the fact that the weak dissipation and randomness interact in the evolution.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Exponential mixing for Korteweg-de Vries equation with localized noise

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    Weakly damped KdV on a circle with bounded localized random forcing is exponentially mixing: a unique invariant measure exists and attracts all initial data in L2.

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  4. 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.

  5. Stability for the stochastic heat equation with multiplicative noise via finite-dimensional feedback

    math.OC 2026-04 unverdicted novelty 6.0

    Finite-dimensional Fourier-mode feedback stabilizes the stochastic heat equation with multiplicative noise in both mean-square and almost sure senses, yielding explicit decay rates and a new controllability proof.

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