Published March 1, 2009 | Version v1
Journal article

Calculating effective diffusivities in the limit of vanishing molecular diffusion

  • 1. Department of Mathematics, Imperial College, London SW7 2AZ (United Kingdom)
  • 2. Mathematics Institute, University of Warwick, Coventry CV4 7AL (United Kingdom)

Description

In this paper we study the problem of the numerical calculation (by Monte Carlo methods) of the effective diffusivity for a particle moving in a periodic divergent-free velocity field, in the limit of vanishing molecular diffusion. In this limit traditional numerical methods typically fail, since they do not represent accurately the geometry of the underlying deterministic dynamics. We propose a stochastic splitting method that takes into account the volume-preserving property of the equations of motion in the absence of noise, and when inertial effects can be neglected. An extension of the method is then proposed for the cases where the noise has a non-trivial time-correlation structure and when inertial effects cannot be neglected. The method of modified equations is used to explain failings of Euler-based methods. The new stochastic geometric integrators are shown to outperform standard Euler-based integrators. Various asymptotic limits of physical interest are investigated by means of numerical experiments, using the new integrators

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2008.10.014

Additional details

Identifiers

DOI
10.1016/j.jcp.2008.10.014;
arXiv
arXiv:0806.3403v1;
PII
S0021-9991(08)00537-8;

Publishing Information

Journal Title
Journal of Computational Physics
Journal Volume
228
Journal Issue
4
Journal Page Range
p. 1030-1055
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40044496
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ASYMPTOTIC SOLUTIONS; CORRELATIONS; DIFFUSION; EQUATIONS OF MOTION; GEOMETRY; MONTE CARLO METHOD; PERIODICITY; STOCHASTIC PROCESSES
Descriptors DEC
CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; MATHEMATICAL SOLUTIONS; MATHEMATICS; PARTIAL DIFFERENTIAL EQUATIONS; VARIATIONS

Optional Information

Copyright
Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.