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Ergodicity of some stochastic Fokker-Planck equations with additive common noise

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arxiv 2405.09950 v1 pith:PK56275M submitted 2024-05-16 math.PR

classification math.PR
keywords commonnoisefokker-planckstochasticadditiveconditionaldimensionequations
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In this paper we consider stochastic Fokker-Planck Partial Differential Equations (PDEs), obtained as the mean-field limit of weakly interacting particle systems subjected to both independent (or idiosyncratic) and common Brownian noises. We provide sufficient conditions under which the deterministic counterpart of the Fokker-Planck equation, which corresponds to particle systems that are just subjected to independent noises, has several invariant measures, but for which the stochastic version admits a unique invariant measure under the presence of the additive common noise. The very difficulty comes from the fact that the common noise is just of finite dimension while the state variable, which should be seen as the conditional marginal law of the system given the common noise, lives in a space of infinite dimension. In this context, our result holds true if, in addition to standard confining properties, the mean field interaction term forces the system to be attracted by its conditional mean given the common noise and the intensity of the idiosyncratic noise is small.

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Cited by 2 Pith papers

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

  1. Ergodicity of conditional McKean-Vlasov jump diffusions

    math.PR 2025-09 conditional novelty 6.0 of 10

    Conditional McKean-Vlasov jump diffusions are exponentially contractive in law, and the contraction rate improves as jump noise intensity grows.

  2. Optimal control of mean-field limit of multiagent systems with and without common noise

    math.OC 2025-05 conditional novelty 6.0 of 10

    For a class of SDE-ODE herding systems with multiplicative idiosyncratic and common noise, the finite-particle optimal control problem Gamma-converges to a McKean-Vlasov mean-field optimal control problem.

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