Random Attraction in TASEP with Time-varying Hopping Rates

View at publisher
Authors: Lars Grüne, Kilian Pioch, Thomas Kriecherbauer, Michael Margaliot
Cited by: 0
References: 26

Abstract

Abstract. The totally asymmetric simple exclusion principle (TASEP) is a fundamental model in nonequilibrium statistical mechanics. It describes the stochastic unidirectional movement of particles along a 1D chain of ordered sites. We consider the continuous-time version of TASEP with a finite number of sites and with time-varying hopping rates between the sites. We show how to formulate this model as a nonautonomous random dynamical system (NRDS) with a finite state-space. We provide conditions guaranteeing that random pullback and forward attractors of such an NRDS exist and consist of singletons. In the context of the nonautonomous TASEP, these conditions imply almost sure synchronization of the individual random paths. This implies in particular that perturbations that change the state of the particles along the chain are filtered out in the long run. We demonstrate that the required conditions are tight by providing examples where these conditions do not hold and consequently the forward attractor does not exist or the pullback attractor is not a singleton. The results in this paper generalize our earlier results for autonomous TASEP in [ 14 ] and contain these as a special case.

Fields of Study & Subjects

Distributed Sensor Networks and Detection Algorithms Wireless Communication Security Techniques Cognitive Radio Networks and Spectrum Sensing

Publication details

Journal / source
SIAM Journal on Applied Dynamical Systems
Volume
25
Issue
1
Pages
260–278
Publication date
8 January 2026
Language
EN