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Bibliographic Details
Main Authors: Gess, Benjamin, Heydecker, Daniel
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2303.11289
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author Gess, Benjamin
Heydecker, Daniel
author_facet Gess, Benjamin
Heydecker, Daniel
contents The problem of deriving a gradient flow structure for the porous medium equation which is {\em thermodynamic}, in that it arises from the large deviations of some microscopic particle system, is studied. To this end, a rescaled zero-range process with jump rate $g(k)=k^α, α>1$ is considered, and its hydrodynamic limit and dynamical large deviations are shown in the presence of both degenerate and unbounded diffusion. The key superexponential estimate is obtained using pathwise discretised regularity estimates in the spirit of the Aubin-Lions-Simons lemma. This allows to exhibit the porous medium equation as the gradient flow of the entropy in a thermodynamic metric via the energy-dissipation inequality.
format Preprint
id arxiv_https___arxiv_org_abs_2303_11289
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The Porous Medium Equation: Large Deviations and Gradient Flow with Degenerate and Unbounded Diffusion
Gess, Benjamin
Heydecker, Daniel
Probability
The problem of deriving a gradient flow structure for the porous medium equation which is {\em thermodynamic}, in that it arises from the large deviations of some microscopic particle system, is studied. To this end, a rescaled zero-range process with jump rate $g(k)=k^α, α>1$ is considered, and its hydrodynamic limit and dynamical large deviations are shown in the presence of both degenerate and unbounded diffusion. The key superexponential estimate is obtained using pathwise discretised regularity estimates in the spirit of the Aubin-Lions-Simons lemma. This allows to exhibit the porous medium equation as the gradient flow of the entropy in a thermodynamic metric via the energy-dissipation inequality.
title The Porous Medium Equation: Large Deviations and Gradient Flow with Degenerate and Unbounded Diffusion
topic Probability
url https://arxiv.org/abs/2303.11289