Some ideas about quantitative convergence of collision models to their mean field limit

Details Some ideas about quantitative convergence of collision models to their mean field limit Some ideas about quantitative convergence of collision models to their mean field limit

2009-02-04

arxiv.org/abs/0902.0721v2

Mathematics

Probability

27 pages, references added and style improved

Scientific paper

We consider a stochastic $N$-particle model for the spatially homogeneous Boltzmann evolution and prove its convergence to the associated Boltzmann equation when $N\to \infty$. For any time $T>0$ we bound the distance between the empirical measure of the particle system and the measure given by the Boltzmann evolution in some homogeneous negative Sobolev space. The control we get is Gaussian, i.e. we prove that the distance is bigger than $x N^{-1/2}$ with a probability of type $O(e^{-x^2})$. The two main ingredients are first a control of fluctuations due to the discrete nature of collisions, secondly a Lipschitz continuity for the Boltzmann collision kernel. The latter condition, in our present setting, is only satisfied for Maxwellian models. Numerical computations tend to show that our results are useful in practice.

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