International audienceWe are interested in nonlinear diffusions in which the own law intervenes in the drift. This kind of diffusions corresponds to the hydrodynamical limit of some particle system. One also talks about propagation of chaos. It is well known, for McKean-Vlasov diffusions, that such a propagation of chaos holds on finite-time interval. We here aim to establish a uniform propagation of chaos even if the external force is not convex, with a diffusion coefficient sufficiently large. The idea consists in combining the propagation of chaos on a finite-time interval with a functional inequality, already used by Bolley, Gentil and Guillin. Here, we also deal with a case in which the system at time t = 0 is not chaotic and we show u...
We prove a quantitative propagation of chaos and entropic chaos, uniformly in time, for the spatiall...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
45 pagesIn this article, we are interested in the behavior of a fully connected network of $N$ neuro...
International audienceWe are interested in nonlinear diffusions in which the own law intervenes in t...
The article deals with the propagation of chaos for a system of interacting particles. Under suitabl...
International audienceThe article presents a novel variational calculus to analyze the stability and...
Combining the results of [14] and [10], the trend to equilibrium in large time is studied for a larg...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
The trend to equilibrium in large time is studied for a large particle system associated to a Vlasov...
International audienceBased on a coupling approach, we prove uniform in time propagation of chaos fo...
AbstractA nonlinear diffusion satisfying a normal reflecting boundary condition is constructed and a...
A new non-conservative stochastic reaction-diffusion system in which two families of random walks in...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
AbstractWe study a system of interacting diffusions and show that for a large number of particles it...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
We prove a quantitative propagation of chaos and entropic chaos, uniformly in time, for the spatiall...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
45 pagesIn this article, we are interested in the behavior of a fully connected network of $N$ neuro...
International audienceWe are interested in nonlinear diffusions in which the own law intervenes in t...
The article deals with the propagation of chaos for a system of interacting particles. Under suitabl...
International audienceThe article presents a novel variational calculus to analyze the stability and...
Combining the results of [14] and [10], the trend to equilibrium in large time is studied for a larg...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
The trend to equilibrium in large time is studied for a large particle system associated to a Vlasov...
International audienceBased on a coupling approach, we prove uniform in time propagation of chaos fo...
AbstractA nonlinear diffusion satisfying a normal reflecting boundary condition is constructed and a...
A new non-conservative stochastic reaction-diffusion system in which two families of random walks in...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
AbstractWe study a system of interacting diffusions and show that for a large number of particles it...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
We prove a quantitative propagation of chaos and entropic chaos, uniformly in time, for the spatiall...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
45 pagesIn this article, we are interested in the behavior of a fully connected network of $N$ neuro...