Monte Carlo evaluation of FADE approach to anomalous kinetics
M. Marseguerra and
A. Zoia
Mathematics and Computers in Simulation (MATCOM), 2008, vol. 77, issue 4, 345-357
Abstract:
In a wide range of transport phenomena in complex systems, the mean squared displacement of a particles plume has been often found to follow a non-linear relationship of the kind 〈x2(t)∝tα〉, where α may be greater or smaller than 1: these evidences have been described under the generic term of anomalous diffusion. In this paper we focus on subdiffusion, i.e. the case 0<α<1, in presence of an external advective field. Widely adopted models to describe anomalous kinetics are continuous time random walk (CTRW) and its fractional advection–dispersion equation (FADE) asymptotic approximation, which accurately account for experimental results, e.g. in the transport of contaminant particles in porous or fractured media. FADE approximated equations, in particular, admit elegant analytical closed-form solutions for the particle concentration P(x, t). To evaluate the relevance of the approximations which allow to derive the asymptotic FADE equations, we resort to Monte Carlo simulation (which may be regarded as an exact solution of the CTRW model): this comparison shows that the FADE equations represent a less and less accurate asymptotic description of the exact CTRW model as α becomes close to 1. We propose higher-order corrections which lead to modified integral–differential equations and derive new expressions for the moments of P(x, t). These results are validated through comparison with those of Monte Carlo simulation, assumed as reference curves.
Keywords: Fractional kinetics; Anomalous diffusion; CTRW; Advection; Monte carlo (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475407001541
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:77:y:2008:i:4:p:345-357
DOI: 10.1016/j.matcom.2007.03.001
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().