Minimal Stochastic Model for Fermi's Acceleration
Statistical Mechanics
2009-11-10 v2 Disordered Systems and Neural Networks
Chaotic Dynamics
Abstract
We introduce a simple stochastic system able to generate anomalous diffusion both for position and velocity. The model represents a viable description of the Fermi's acceleration mechanism and it is amenable to analytical treatment through a linear Boltzmann equation. The asymptotic probability distribution functions (PDF) for velocity and position are explicitly derived. The diffusion process is highly non-Gaussian and the time growth of moments is characterized by only two exponents and . The diffusion process is anomalous (non Gaussian) but with a defined scaling properties i.e. and similarly for velocity.
Cite
@article{arxiv.cond-mat/0307139,
title = {Minimal Stochastic Model for Fermi's Acceleration},
author = {Freddy Bouchet and Fabio Cecconi and Angelo Vulpiani},
journal= {arXiv preprint arXiv:cond-mat/0307139},
year = {2009}
}
Comments
RevTeX4, 4 pages, 2 eps-figures (minor revision)