Entropy production and large deviation function for systems with microscopically irreversible transitions

TL;DR

This paper derives the large deviation function and distribution of entropy production for systems with microscopic irreversibility, specifically TASEP and unicyclic networks, revealing how these depend on system parameters.

Contribution

It introduces a method to compute the large deviation function for entropy production in systems with irreversible transitions using time-dependent transition rates.

Findings

Large deviation function depends on mean entropy production rate.

Distribution tends to Poisson form at low particle rates.

Method applicable to TASEP and unicyclic networks.

Abstract

We obtain the large deviation function for entropy production of the medium and its distribution function for two-site totally asymmetric simple exclusion process(TASEP) and three-state unicyclic network. Since such systems are described through microscopic irreversible transitions, we obtain time-dependent transition rates by sampling the states of these systems at a regular short time interval $\tau$. These transition rates are used to derive the large deviation function for the entropy production in the nonequilibrium steady state and its asymptotic distribution function. The shapes of the large deviation function and the distribution function depend on the value of the mean entropy production rate which has a non-trivial dependence on the particle injection and withdrawal rates in case of TASEP. Further, it is argued that in case of a TASEP, the distribution function tends to be like a Poisson distribution for smaller values of particle injection and withdrawal rates.