Dynamic phase transitions in simple driven kinetic networks

Abstract

We analyze the probability distribution for entropy production rates of trajectories evolving on a class of out-of-equilibrium kinetic networks. These networks can serve as simple models for driven dynamical systems, which are of particular importance in biological processes, where energy fluxes typically result in non-equilibrium dynamics. By analyzing the fluctuations in the entropy production, we demonstrate the emergence, in a large system size limit, of a dynamic phase transition between two distinct dynamical regimes.

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References in corpus (5)

• Stochastic thermodynamics, fluctuation theorems, and molecular machines
• The large deviation approach to statistical mechanics
• Dynamic first-order phase transition in kinetically constrained models of glasses
• Dynamical phase transition for current statistics in a simple driven diffusive system
• Large deviation function for the entropy production: Optimal trajectory and role of fluctuations

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