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Superdiffusion in Decoupled Continuous Time Random Walks

Abstract

Continuous time random walk models with decoupled waiting time density are studied. When the spatial one jump probability density belongs to the Levy distribution type and the total time transition is exponential a generalized superdiffusive regime is established. This is verified by showing that the square width of the probability distribution (appropriately defined)grows as t2/γt^{2/\gamma} with 0<γ20<\gamma\leq2 when tt\to \infty. An important connection of our results and those of Tsallis' nonextensive statistics is shown. The normalized q-expectation value of x2x^2 calculated with the corresponding probability distribution behaves exactly as t2/γt^{2/\gamma} in the asymptotic limit.Comment: 9 pages (.tex file), 1 Postscript figures, uses revtex.st

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    Last time updated on 02/01/2020