Contribution to the study of Boltzmann's, Kac's and Keller-Segel's equations with non-linear stochastic differentials equations

This thesis is devoted to the study of the asymptotic of grazing collisions for Kac's and Boltzmann's equations and to the study of the chaos propagation for some sub-critical Keller-Segel equation with non-linear Stochastic Differentials Equations. The first chapter is devoted to the Kac equation with a Maxwellian potential. We start by giving an explicit rate of convergence (than we believe to be optimal) for the asymptotic of grazing collisions. Then, we approximate the solution of Kac's equation in the general case, which allows us to show the chaos propagation for some particle system to this last one in a quantitative way. In the second chapter, we study the asymptotic of grazing collisions for the Boltzmann equation with soft and Coulomb potentials. We also give explicit rates of convergence (which are not optimal).Finally in the third and last chapter, we show the chaos propagation for some sub-critical Keller-Segel equation. To this aim, we use compactness arguments (tightness of the particle system)

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Source https://theses.hal.science/tel-00975091
Author Godinho Pereira, David
Maintainer CCSD
Last Updated May 5, 2026, 16:08 (UTC)
Created May 5, 2026, 16:08 (UTC)
Identifier NNT: 2013PEST1085
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA) ; Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout (BEZOUT) ; Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
creator Godinho Pereira, David
date 2013-11-25T00:00:00
harvest_object_id 5df192a5-72f0-4389-b222-ce61971ee4fe
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-02T00:00:00
set_spec type:THESE