Diffusion-approximation for a kinetic equation with perturbed velocity redistribution process
Nils Caillerie, Julien Vovelle (UMPA-ENSL)

TL;DR
This paper derives a diffusion approximation for a kinetic equation with stochastic velocity perturbations, resulting in a stochastic PDE for the density, under certain mixing conditions.
Contribution
It introduces a novel diffusion-approximation framework for kinetic equations with stochastic velocity perturbations, linking microscopic randomness to macroscopic stochastic PDEs.
Findings
Established diffusion limit under mixing hypotheses
Derived a stochastic PDE for the macroscopic density
Validated the approximation through rigorous analysis
Abstract
We derive the hydrodynamic limit of a kinetic equation with a stochastic, short range perturbation of the velocity operator. Under some mixing hypotheses on the stochastic perturbation, we establish a diffusion-approximation result: the limit we obtain is a parabolic stochastic partial differential equation on the macroscopic parameter, the density here.
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Taxonomy
TopicsGas Dynamics and Kinetic Theory · Mathematical Biology Tumor Growth · Stochastic processes and financial applications
