A stochastic approach to the (generic) mean-field limit in Bose-Einstein Condensation is described and the convergence of the ground-state energy as well as of its components are established. For the one-particle process on the path space, a total variation convergence result is proved. A strong form of Kac's chaos on path-space for the k-particles probability measures is derived from the previous energy convergence by purely probabilistic techniques notably using a simple chain-rule of the relative entropy. Fisher's information chaos of the fixed-time marginal probability density under the generic mean-field scaling limit and the related entropy chaos result are also deduced
This paper is devoted the study of the mean field limit for many-particle systems undergoing jump, d...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
With the help of simple probabilistic models of Kac and McKean, we discuss the meaning of the genera...
This paper is devoted to establish quantitative and qualitative estimates related to the notion of c...
Within a stochastic approach to Bose-Einstein Condensation we point out some probabilistic counterpa...
This paper is devoted to the study of propagation of chaos and mean-field limit for systems of indis...
In this Note we present the main results from the recent work arxiv:1107.3251, which answers several...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
This thesis concerns various aspects of the Kac model. The Kac model is a Markov jump process for a ...
International audienceWe consider the error arising from the approximation of an N-particle dynamics...
We use a model due to Kac to investigate some properties of the generalized entropy proposed by the ...
We consider a family of stochastic interacting particle systems introduced by Kac as a model for a s...
Let ¯ (N) denote a mean-field measure with potential F . Asymptotic independence properties of the...
Using a probabilistic model due to Kac and called by him a caricature of the dilute hard sphere gas,...
We consider the evolution equations for the moments of the distribution function in a probabilistic ...
This paper is devoted the study of the mean field limit for many-particle systems undergoing jump, d...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
With the help of simple probabilistic models of Kac and McKean, we discuss the meaning of the genera...
This paper is devoted to establish quantitative and qualitative estimates related to the notion of c...
Within a stochastic approach to Bose-Einstein Condensation we point out some probabilistic counterpa...
This paper is devoted to the study of propagation of chaos and mean-field limit for systems of indis...
In this Note we present the main results from the recent work arxiv:1107.3251, which answers several...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
This thesis concerns various aspects of the Kac model. The Kac model is a Markov jump process for a ...
International audienceWe consider the error arising from the approximation of an N-particle dynamics...
We use a model due to Kac to investigate some properties of the generalized entropy proposed by the ...
We consider a family of stochastic interacting particle systems introduced by Kac as a model for a s...
Let ¯ (N) denote a mean-field measure with potential F . Asymptotic independence properties of the...
Using a probabilistic model due to Kac and called by him a caricature of the dilute hard sphere gas,...
We consider the evolution equations for the moments of the distribution function in a probabilistic ...
This paper is devoted the study of the mean field limit for many-particle systems undergoing jump, d...
The propagation of chaos is a central concept of kinetic theory that serves to relate the equations ...
With the help of simple probabilistic models of Kac and McKean, we discuss the meaning of the genera...