Non-equilibrium entropy and irreversibility in generalized stochastic Loewner evolution from an information-theoretic perspective
Yusuke Shibasaki, Minoru Saito

TL;DR
This paper explores the non-equilibrium entropy and irreversibility in generalized stochastic Loewner evolution using information theory, deriving new thermodynamic relations and verifying non-equilibrium behavior through numerical simulations.
Contribution
It introduces an information-theoretic framework for encoding non-equilibrium processes in SLE, deriving entropy production, flux, and reformulating thermodynamic equalities.
Findings
Derived entropy production and flux for 2D SLE trajectories.
Reformulated thermodynamic relations using Kullback-Leibler divergence.
Numerically verified non-equilibrium properties via long-time simulations.
Abstract
The generalized stochastic Loewner evolution (SLE) driven by reversible Langevin dynamics was theoretically investigated in the context of non-equilibrium statistical mechanics. The recent study of the authors revealed that the Loewner evolution enables encoding the non-equilibrium (irreversible) processes into equilibrium (reversible) processes. In this study, by Gibbs entropy-based information-theoretic approaches, we formulated this encoding mechanism of the SLE to discuss its advantages as a mean to better describe non-equilibrium states. After deriving entropy production and flux for the 2D trajectories of the generalized SLE curve, we reformulated the system's entropic properties in terms of the Kullback-Leibler (KL) divergence. We demonstrate that this operation leads to alternative expressions of the Jarzynski equality and the second law of thermodynamics, which are consistent…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Complex Systems and Time Series Analysis
