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Understanding deterministic diffusion by correlated random walks

R Klages and N Korabel

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Low-dimensional periodic arrays of scatterers with a moving point particle are ideal models for studying deterministic diffusion. For such systems the diffusion coefficient is typically an irregular function under variation of a control parameter. Here we propose a systematic scheme of how to approximate deterministic diffusion coefficients of this kind in terms of correlated random walks. We apply this approach to two simple examples which are a one-dimensional map on the line and the periodic Lorentz gas. Starting from suitable Green–Kubo formulae we evaluate hierarchies of approximations for their parameter-dependent diffusion coefficients. These approximations converge exactly yielding a straightforward interpretation of the structure of these irregular diffusion coefficients in terms of dynamical correlations.


PACS

05.40.Fb Random walks and Levy flights

05.60.-k Transport processes

05.45.Ac Low-dimensional chaos

02.30.Mv Approximations and expansions

MSC

37D45 Strange attractors, chaotic dynamics

82C41 Dynamics of random walks, random surfaces, lattice animals, etc. (See also 60G50)

Subjects

Mathematical physics

Statistical physics and nonlinear systems

Dates

Issue 23 (14 June 2002)

Received 21 February 2002

Published 31 May 2002



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