Entropy Production in Random Billiards
arXiv:1904.08924 · doi:10.3934/dcds.2020319
Abstract
We introduce a class of random mechanical systems called random billiards to study the problem of quantifying the irreversibility of nonequilibrium macroscopic systems. In a random billiard model, a point particle evolves by free motion through the interior of a spatial domain, and reflects according to a reflection operator, specified in the model by a Markov transition kernel, upon collision with the boundary of the domain. We derive a formula for entropy production rate that applies to a general class of random billiard systems. This formula establishes a relation between the purely mathematical concept of entropy production rate and textbook thermodynamic entropy, recovering in particular Clausius' formulation of the second law of thermodynamics. We also study an explicit class of examples whose reflection operator, referred to as the Maxwell-Smolukowski thermostat, models systems with boundary thermostats kept at possibly different temperatures. We prove that, under certain mild regularity conditions, the class of models are uniformly ergodic Markov chains and derive formulas for the stationary distribution and entropy production rate in terms of geometric and thermodynamic parameters.
arXiv comment30 pages, 9 figures
References in corpus (11)
- Stochastic thermodynamics, fluctuation theorems, and molecular machines
- Non-Equilibrium Statistical Mechanics of Anharmonic Chains Coupled to Two Heat Baths at Different Temperatures
- Stochastic thermodynamics of single enzymes and molecular motors
- Entropy Production in Non-Linear, Thermally Driven Hamiltonian Systems
- Exponential Convergence to Non-Equilibrium Stationary States in Classical Statistical Mechanics
- Fluctuations of the Entropy Production in Anharmonic Chains
- Billiards in a general domain with random reflections
- Nonequilibrium Energy Profiles for a Class of 1-D Models
- Entropy Production in Mesoscopic Stochastic Thermodynamics: Nonequilibrium Kinetic Cycles Driven by Chemical Potentials, Temperatures, and Mechanical Forces
- A Model of Heat Conduction
- Sub-exponential mixing of open systems with particle-disk interactions