. In this paper we consider a particle moving in a random distribution of obstacles. Each obstacle generates an inverse power law potential " s jxj s , where " is a small parameter and s ? 2. Such a rescaled potential is truncated at distance " fl \Gamma1 , where fl 2]0; 1[ is suitably large. We assume also that the scatterer density is diverging as " \Gammad+1 , where d is the dimension of the physical space. We prove that, as " ! 0 (the Boltzmann-Grad limit), the probability density of a test particle converges to a solution of the linear (uncutoffed) Boltzmann equation with the cross section relative to the potential V (x) = jxj \Gammas . 1. Introduction It is well known how interesting and challenging...
We study the evolution of a quantum particle interacting with a random potential in the low density ...
ABSTRACT. We consider a classical system of point particles interacting by means of a short range po...
We study the time evolution of a quantum particle in a Gaussian random environment. We show that in ...
We consider the problem of deriving the linear Boltzmann equation from the Lorentz process with hard...
We consider the problem of deriving the linear Boltzmann equation from the Lorentz process with hard...
AbstractWe consider the problem of deriving the linear Boltzmann equation from the Lorentz process w...
We consider a classical system of point particles interacting by means of a short range potential. W...
In this article the linear Boltzmann equation is derived for a particle interacting with a Gaussian ...
We consider a Lorentz gas in the plane where the scatterers have random positions on a square lattic...
The linear Boltzmann equation describes the macroscopic transport of a gas of non-interacting point ...
18 pagesInternational audienceIn this note, we propose a slightly different proof of Gallavotti's th...
This thesis aims to give full and complete details of the first proof that the particle density for ...
International audienceWe construct and study the stochastic force field generated by a Poisson distr...
This paper considers an integral form of the linear, space-inhomogeneous Boltzmann equation with inf...
Abstract. The two-dimensional, periodic Lorentz gas, is the dynamical sys-tem corresponding with the...
We study the evolution of a quantum particle interacting with a random potential in the low density ...
ABSTRACT. We consider a classical system of point particles interacting by means of a short range po...
We study the time evolution of a quantum particle in a Gaussian random environment. We show that in ...
We consider the problem of deriving the linear Boltzmann equation from the Lorentz process with hard...
We consider the problem of deriving the linear Boltzmann equation from the Lorentz process with hard...
AbstractWe consider the problem of deriving the linear Boltzmann equation from the Lorentz process w...
We consider a classical system of point particles interacting by means of a short range potential. W...
In this article the linear Boltzmann equation is derived for a particle interacting with a Gaussian ...
We consider a Lorentz gas in the plane where the scatterers have random positions on a square lattic...
The linear Boltzmann equation describes the macroscopic transport of a gas of non-interacting point ...
18 pagesInternational audienceIn this note, we propose a slightly different proof of Gallavotti's th...
This thesis aims to give full and complete details of the first proof that the particle density for ...
International audienceWe construct and study the stochastic force field generated by a Poisson distr...
This paper considers an integral form of the linear, space-inhomogeneous Boltzmann equation with inf...
Abstract. The two-dimensional, periodic Lorentz gas, is the dynamical sys-tem corresponding with the...
We study the evolution of a quantum particle interacting with a random potential in the low density ...
ABSTRACT. We consider a classical system of point particles interacting by means of a short range po...
We study the time evolution of a quantum particle in a Gaussian random environment. We show that in ...