Diffusion limit for the radiative transfer equation perturbed by a Markovian process
Arnaud Debussche (ENS Rennes, IRMAR), Sylvain De Moor (ENS Rennes,, IRMAR), Julien Vovelle (CNRS, ICJ)

TL;DR
This paper investigates the stochastic diffusive limit of a non-linear kinetic radiative transfer equation perturbed by a Markovian process, demonstrating convergence to a stochastic non-linear fluid limit under suitable scaling.
Contribution
It extends the perturbed test-functions method to analyze the stochastic diffusive limit of a non-linear radiative transfer equation with Markovian perturbations.
Findings
Proves convergence in law to a stochastic non-linear fluid limit.
Generalizes the perturbed test-functions method for stochastic kinetic equations.
Provides a rigorous mathematical framework for stochastic radiative transfer limits.
Abstract
We study the stochastic diffusive limit of a kinetic radiative transfer equation, which is non-linear, involving a small parameter and perturbed by a smooth random term. Under an appropriate scaling for the small parameter, using a generalization of the perturbed test-functions method, we show the convergence in law to a stochastic non-linear fluid limit.
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Taxonomy
TopicsGas Dynamics and Kinetic Theory · Radiative Heat Transfer Studies · Mathematical Biology Tumor Growth
