On the single-lane TASEP with generalized update and open boundary conditions

Authors

  • Nina Christova Pesheva* Institute of Mechanics, Bulgarian Academy of Sciences
  • Nadezhda Bunzarova Institute of Mechanics, Bulgarian Academy of Sciences and Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
  • Jordan Brankov Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
  • Vyatcheslav Priezzhev Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia

DOI:

https://doi.org/10.11145/cb.v3i1.655

Abstract

We report on numerical simulation results for the stationary properties of the totally asymmetric simple exclusion process (TASEP) with generalized update (GU) on a simple chain with open boundary conditions (OBC). We note that the application of TASEP to biomolecular processes can be traced back to [1], see alsoВ [2,3], where the model was used to describe directed motion of molecular motors along twisted filaments. The model with generalized update, suggested and studied on a ring in [4,5], includesВ В interaction between nearest-neighborВ  particles. The implementation of OBC leads to a variety of stationary properties of the TASEP with GU, which cannot be observed on a ring. We introduce here a modified left boundary condition which controls the input of particles in the chain, which allows for a smooth transition from the
standard updates to the extreme case of particles gluing in stable clusters. The density distribution of particles along the chain, nearest-neighbor particle-particle correlations, and the fundamental relationship between particle current and density were studied at different values of the parameters. Our numerical simulations reveal broad
and quite unexpected modes of behavior of the system. Simple analytical models for the description of some of the unusual types of behavior are suggested.В  Finally, the possibilities for different applications are mentioned.

[1] C. T. MacDonald, J. H. Gibbs, and A. C. Pipkin, Biopolymers 6, 1 (1968).
[2] Y.-M. Yuan et al., J. Phys.В  A 40,
12351 (2007).
[3] A. E.
Derbyshev et al, J. Stat. Mech., 2012, P05014 (2012);В  Phys.В  Rev. E 91, 022125 (2015).

Author Biographies

Nina Christova Pesheva*, Institute of Mechanics, Bulgarian Academy of Sciences

Department of Mathematical Modeling and

Numerical Simulations

В 

Assoc. Prof.

Nadezhda Bunzarova, Institute of Mechanics, Bulgarian Academy of Sciences and Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia

Department of mathematical modeling and numerical simulations

Downloads

Published

2016-03-29

Issue

Section

Conference Contributions