This paper is devoted the study of the mean field limit for many-particle systems undergoing jump, drift or diffusion processes, as well as combinations of them. The main results are quantitative estimates on the decay of fluctuations around the deterministic limit and of correlations between particles, as the number of particles goes to infinity. To this end we introduce a general functional framework which reduces this question to the one of proving a purely functional estimate on some abstract generator operators (consistency estimate) together with fine stability estimates on the flow of the limiting nonlinear equation (stability estimates). Then we apply this method to a Boltzmann collision jump process (for Maxwell molecules), to a Mc...
The Ensemble Kalman filter is a sophisticated and powerful data assimilation method for filtering hi...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
This paper is devoted to the study of propagation of chaos and mean-field limit for systems of indis...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
In this chapter a novel, rigorous approach to analyse the validity of continuum approximations for d...
This thesis studies various problems related to the asymptotic behaviour and derivation of mean fiel...
In this thesis we study mean field interacting particle systems and their McKean-Vlasov limiting pro...
Motivated by several applications, including neuronal models, we consider the McKean-Vlasov limit fo...
International audienceWe consider the error arising from the approximation of an N-particle dynamics...
The article deals with the propagation of chaos for a system of interacting particles. Under suitabl...
International audienceIn the nonlinear diffusion framework, stochastic processes of McKean-Vlasov ty...
The Ensemble Kalman filter is a sophisticated and powerful data assimilation method for filtering hi...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
This paper is devoted to the study of propagation of chaos and mean-field limit for systems of indis...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
In this chapter a novel, rigorous approach to analyse the validity of continuum approximations for d...
This thesis studies various problems related to the asymptotic behaviour and derivation of mean fiel...
In this thesis we study mean field interacting particle systems and their McKean-Vlasov limiting pro...
Motivated by several applications, including neuronal models, we consider the McKean-Vlasov limit fo...
International audienceWe consider the error arising from the approximation of an N-particle dynamics...
The article deals with the propagation of chaos for a system of interacting particles. Under suitabl...
International audienceIn the nonlinear diffusion framework, stochastic processes of McKean-Vlasov ty...
The Ensemble Kalman filter is a sophisticated and powerful data assimilation method for filtering hi...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
We provide analytical approximations for the law of the solutions to a certain class of scalar McKea...