2010
DOI: 10.1007/s10955-010-0109-3
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Equilibration, Generalized Equipartition, and Diffusion in Dynamical Lorentz Gases

Abstract: We prove approach to thermal equilibrium for the fully Hamiltonian dynamics of a dynamical Lorentz gas, by which we mean an ensemble of particles moving through a d-dimensional array of fixed soft scatterers that each possess an internal harmonic or anharmonic degree of freedom to which moving particles locally couple. We establish that the momentum distribution of the moving particles approaches a MaxwellBoltzmann distribution at a certain temperature T , provided that they are initially fast and the scattere… Show more

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Cited by 15 publications
(42 citation statements)
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“…We view the states of the scatterer that the particle successively visits as independent and identically distributed random variables and fix the distance between two consecutive scatterers met by the particle. In [DBP11], it was shown, for a Markov chain which is a cut version of the one we consider in Section 2, that it captures the essential features of the behaviour of the original system very well, both in terms of the evolution of the momentum distribution of the particle and of its diffusive spatial displacement.…”
Section: Introductionmentioning
confidence: 94%
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“…We view the states of the scatterer that the particle successively visits as independent and identically distributed random variables and fix the distance between two consecutive scatterers met by the particle. In [DBP11], it was shown, for a Markov chain which is a cut version of the one we consider in Section 2, that it captures the essential features of the behaviour of the original system very well, both in terms of the evolution of the momentum distribution of the particle and of its diffusive spatial displacement.…”
Section: Introductionmentioning
confidence: 94%
“…The leading coefficients of this expansion were computed in [DBP11]. In the following proposition, we provide detailed control on the error terms, in particular their behaviour in M and in α * .…”
Section: The Markov Chain Description and Weak Coupling Limitmentioning
confidence: 99%
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