Statistical-thermodynamical foundations of anomalous diffusion
Damian H. Zanette

TL;DR
This paper demonstrates that Tsallis' generalized statistics offers a natural framework for describing anomalous diffusion, deriving mechanisms for Levy-like superdiffusion and solving related nonlinear equations.
Contribution
It introduces a maximum-entropy formalism within Tsallis' statistics to model anomalous diffusion and derive underlying mechanisms for Levy-like superdiffusion.
Findings
Provides a mathematical formulation for Levy-like superdiffusion
Derives mechanisms underlying anomalous diffusion
Solves the nonlinear Fokker-Planck equation using generalized statistics
Abstract
It is shown that Tsallis' generalized statistics provides a natural frame for the statistical-thermodynamical description of anomalous diffusion. Within this generalized theory, a maximum-entropy formalism makes it possible to derive a mathematical formulation for the mechanisms that underly Levy-like superdiffusion, and for solving the nonlinear Fokker-Planck equation.
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