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

Fuente: arXiv
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Autori principali: Butori, Federico, Luongo, Eliseo
Natura: Preprint
Pubblicazione: 2024
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author Butori, Federico
Luongo, Eliseo
author_facet Butori, Federico
Luongo, Eliseo
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07206
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mean-Field Magnetohydrodynamics Models as Scaling Limits of Stochastic Induction Equations
Butori, Federico
Luongo, Eliseo
Probability
Mathematical Physics
Analysis of PDEs
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.
title Mean-Field Magnetohydrodynamics Models as Scaling Limits of Stochastic Induction Equations
topic Probability
Mathematical Physics
Analysis of PDEs
url https://arxiv.org/abs/2406.07206