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Diffusive limits for stochastic kinetic equtions

New challenges in PDE: Deterministic dynamics and randomness in high and infinite dimensional systems October 19, 2015 - October 30, 2015

October 19, 2015 (11:00 AM PDT - 12:00 PM PDT)
Speaker(s): Arnaud Debussche (Ecole Normale Supérieure de Rennes)
Location: MSRI: Simons Auditorium



In this talk, we consider kinetic equations containing random
terms. The kinetic models contain a small parameter and it is well
known that, after scaling, when this parameter goes to zero the limit
problem is a diffusion equation in the PDE sense, ie a parabolic equation
of second order. A smooth noise is added, accounting for external perturbation.
It scales also with the small parameter. It is expected that the limit
equation is then a stochastic parabolic equation where the noise is in
Stratonovitch form.
Our aim is to justify in this way several SPDEs commonly used.
We first treat linear equations with multiplicative noise. Then show how
to extend the methods to nonlinear equations or to the more physical
case of a random forcing term.
The results have been obtained jointly with S. De Moor and J. Vovelle

24931?type=thumb Debussche_Notes 391 KB application/pdf Download
Video/Audio Files


H.264 Video 14369.mp4 307 MB video/mp4 rtsp://videos.msri.org/data/000/024/537/original/14369.mp4 Download
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