arXiv · cond-mat/0307139
Minimal Stochastic Model for Fermi's Acceleration
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 $ν_x$ and $ν_v$. The diffusion process is anomalous (non Gaussian) but with a defined scaling properties i.e. $P(|{\bf x}|,t) = 1/t^{ν_x}F_x(|{\bf x}|/t^{ν_x})$ and similarly for velocity.
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Freddy Bouchet, Fabio Cecconi, Angelo Vulpiani. 2004-03-04. Minimal Stochastic Model for Fermi's Acceleration. https://doi.org/10.1103/physrevlett.92.040601
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