Dynamical systems of N particles in R-D interacting by a singular pair potential of mean field type are considered. The systems are assumed to be of gradient type and the existence of a macroscopic limit in the many particle limit is established for a large class of singular interaction potentials in stochastic as well as deterministic settings. The main assumption on the potentials is an appropriate notion of quasi-convexity. When D = 1 the convergence result is sharp when applied to strongly singular repulsive interactions and for a general dimension D the result applies to attractive interactions with Lipschitz singular interaction potentials, leading to stochastic particle solutions to the corresponding macroscopic aggregation equations...
Nous étudions des limites de grande échelle de systèmes de particules en interaction. Dans chaque mo...
We consider general stochastic systems of interacting particles with noise which are relevant as mod...
We consider general stochastic systems of interacting particles with noise which are relevant as mod...
In this work we give a proof of the mean-field limit for λ-convex potentials using a purely variatio...
In this work, generalizing the techniques introduced by Jabir-Talay-Tomasevic [3], we prove the well...
This thesis studies various problems related to the asymptotic behaviour and derivation of mean fiel...
We study large scale limits for interacting particle systems. In each model, we consider mean field ...
We consider the (kinetic) continuum limit for a class of stochastic interacting particle systems. We...
Motivated by a probabilistic approach to K\ue4hler-Einstein metrics we consider a general nonequilib...
In this thesis several systems of interacting particles are considered. The manuscript is divided in...
We consider the (kinetic) continuun limit for a clas of stochastic interacting particle systems. We ...
The study of large interacting particle systems has broad applications in many scientific fields suc...
These notes are devoted to a summary on the mean-field limit of large ensembles of interacting parti...
A new non-conservative stochastic reaction-diffusion system in which two families of random walks in...
The trend to equilibrium in large time is studied for a large particle system associated to a Vlasov...
Nous étudions des limites de grande échelle de systèmes de particules en interaction. Dans chaque mo...
We consider general stochastic systems of interacting particles with noise which are relevant as mod...
We consider general stochastic systems of interacting particles with noise which are relevant as mod...
In this work we give a proof of the mean-field limit for λ-convex potentials using a purely variatio...
In this work, generalizing the techniques introduced by Jabir-Talay-Tomasevic [3], we prove the well...
This thesis studies various problems related to the asymptotic behaviour and derivation of mean fiel...
We study large scale limits for interacting particle systems. In each model, we consider mean field ...
We consider the (kinetic) continuum limit for a class of stochastic interacting particle systems. We...
Motivated by a probabilistic approach to K\ue4hler-Einstein metrics we consider a general nonequilib...
In this thesis several systems of interacting particles are considered. The manuscript is divided in...
We consider the (kinetic) continuun limit for a clas of stochastic interacting particle systems. We ...
The study of large interacting particle systems has broad applications in many scientific fields suc...
These notes are devoted to a summary on the mean-field limit of large ensembles of interacting parti...
A new non-conservative stochastic reaction-diffusion system in which two families of random walks in...
The trend to equilibrium in large time is studied for a large particle system associated to a Vlasov...
Nous étudions des limites de grande échelle de systèmes de particules en interaction. Dans chaque mo...
We consider general stochastic systems of interacting particles with noise which are relevant as mod...
We consider general stochastic systems of interacting particles with noise which are relevant as mod...