Two-channel totally asymmetric simple exclusion process with site-wise dynamic disorder

Shaweta Garg and Isha Dhiman

Physica A: Statistical Mechanics and its Applications, 2020, vol. 545, issue C

Abstract: Being inspired by the biological process of gene transcription, we investigate the phenomenology of transport on two-channel TASEP in the presence of dynamical defects under symmetric coupling conditions. The continuum mean-field equations are derived and then solved numerically to obtain steady-state phase diagrams. The role of various parameters namely defect (un-)binding constants, lane-changing rates has been thoroughly examined. The defect (un-)binding rates are found to affect the phase boundaries in the phase plane. The effect of system size on the steady-state dynamics of the system has also been analyzed. The theoretical results are validated by performing extensive Monte Carlo simulations.

Keywords: Dynamic disorder; Two-channel TASEPs; Gene transcription; Monte Carlo simulations (search for similar items in EconPapers)
Date: 2020
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/S0378437119318771
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:545:y:2020:i:c:s0378437119318771

DOI: 10.1016/j.physa.2019.123356

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 ().