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Mean-Field Magnetohydrodynamics Models as Scaling Limits of Stochastic Induction Equations

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arxiv 2406.07206 v2 pith:J3H4KZSH submitted 2024-06-11 math.PR math-phmath.APmath.MP

classification math.PRmath-phmath.APmath.MP
keywords modelfieldmagneticstochasticcaseequationsinductionlimit
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We study the asymptotic properties of a stochastic model for the induction equations of the magnetic field in a three dimensional periodic domain. The turbulent velocity field driving the electromotive force on the magnetic field is modeled by a noise white in time. For this model we rigorously take a scaling limit leading to a deterministic model. While in case of isotropic turbulence this produces an additional dissipation in the limit model which influences also the decay rate of the Magnetic field in the stochastic model, the case of turbulence devoloped in a preferential direction allows us to find a dynamo effect.

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  1. A scaling limit for Vlasov equations with electrostatic fluctuations

    math.PR 2025-07 conditional novelty 6.0 of 10

    Random electrostatic fluctuations with fixed intensity and vanishing spatial correlation produce velocity diffusion in the Vlasov-Poisson limit, proving a deterministic Vlasov-Fokker-Planck equation.

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