English

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 νx\nu_x and νv\nu_v. The diffusion process is anomalous (non Gaussian) but with a defined scaling properties i.e. P(x,t)=1/tνxFx(x/tνx)P(|{\bf x}|,t) = 1/t^{\nu_x}F_x(|{\bf x}|/t^{\nu_x}) and similarly for velocity.

Keywords

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)