Effective drift and diffusivity in non-Gaussian random gradient flows

Details Effective drift and diffusivity in non-Gaussian random gradient flows Effective drift and diffusivity in non-Gaussian random gradient flows

1997-07-07

arxiv.org/abs/cond-mat/9707069v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

15 pages, LATEX2e, 5 figures, uses styles[12pt,epsfig]

Scientific paper

10.1088/0305-4470/31/5/005

We study the long-range effective drift and diffusivity of a particle in a random medium moving subject to a given molecular diffusivity and a local drift. The local drift models the effect of a random electrostatic field on a neutral but polarizable molecule. Although the electrostatic field is assumed to obey Gaussian statistics the induced statistics of the drift velocity field are non-Gaussian. We show that a four-loop perturbation theory calculation of the effective diffusivity is in rather good agreement with the outcome of a numerical simulation for a reasonable range of the disorder parameter. We also measure the effective drift in our simulation and confirm the validity of the ``Einstein relation'' that expresses the equality of the renormalization factors, induced by the random medium, for the effective drift and effective diffusivity, relative to their molecular values. The Einstein relation has previously only been confirmed for Gaussian random drift fields. The simulation result, for our non-Gaussian drift model, is consistent with a previous theoretical analysis showing the Einstein relation should remain true, independently of the precise character of the statistics of the drift velocity field.

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