Anomalous statistics of particle spreading in quenched random velocity field
M. Ghasemi Nezhadhaghighi
Physica A: Statistical Mechanics and its Applications, 2020, vol. 557, issue C
Abstract:
We study the motion of a random walker in two dimensional randomly oriented Manhattan lattice where each horizontal and vertical link in a regular square lattice is assigned a random direction. This model describes the anomalous diffusion properties of the tracer particles that are driven by a random unidirectional zero mean velocity field. By means of numerical analysis and with the use of qth order moment 〈xq(t)〉∼tqβ, we find the anomalous scaling exponent β=2∕3 that perfectly agrees with previous studies. We develop some precise results to understand the anomalous nature of random motion in random environments. This is done by the study of non-Gaussian properties of the probability density function, logarithmic scaling of the diffusion entropy and weak ergodicity analysis. It is also found that the mean exit times from a bounded domain is related to the fractal nature of the process.
Keywords: Anomalous diffusion; Random walk; Random environment; Super-diffusive process (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437120305100
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:phsmap:v:557:y:2020:i:c:s0378437120305100
DOI: 10.1016/j.physa.2020.124977
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().