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  • https://doi.org/10.1088/1742-5468/2009/03/p03005Copy DOI Icon

Lévy diffusion: the density versus the trajectory approach

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Abstract

We discuss the problem of deriving Lévy diffusion, in the form of a Lévy walk, from a densityapproach, namely using a Liouville equation. We address this problem for a case that hasalready been discussed using the method of the continuous time random walk, andconsequently an approach based on trajectory dynamics rather than density timeevolution. We show that the use of the Liouville equation requires the knowledgeof the correlation functions of the fluctuation that generates the Lévy diffusion.We benefit from the results of earlier work proving that the correlation functionis not factorized as in the Poisson case. We show that the Liouville equationgenerates a long-time diffusion whose probability distribution density keeps amemory of the detailed form of the fluctuation correlation function, and not onlyof its long-time inverse power law structure. Although the main result of thispaper rests on an approximate expression for higher-order correlation functions, itbecomes exact in the long-time limit. Thus, we argue that it explains the failure toderive Lévy diffusion from the Liouville equation, thereby supporting the claimthat there exists a conflict between trajectory and density approaches in thiscase.

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