Signals of Detailed Balance Violation in Nonequilibrium Stationary States: Subtle, Manifest, and Extraordinary
arXiv:2402.14738 · doi:10.1088/1751-8121/ad5ac8
Abstract
The evolution of physical systems are often modeled by simple Markovian processes. When settled into stationary states, the probability distributions of such systems are time independent, by definition. However, they do not necessarily fall within the framework of equilibrium statistical mechanics. Instead, they may be non-equilibrium steady states (NESS). One distinguished feature of NESS is the presence of time reversal asymmetry (TRA) and persistent probability current loops. These loops lead naturally to the notion of probability angular momenta, which play a role on the same footing as the noise covariance in stochastic processes. Illustrating with simulations of simple models and physical data, we present ways to detect these signals of TRA, from the subtle to the prominent.
50 pages, 7 figures, invited submission to Special Issue
References in corpus (5)
- Probability currents as principal characteristics in the statistical mechanics of non-equilibrium steady states
- Hierarchical Bounds on Entropy Production Inferred from Partial Information
- Nonequilibrium oscillations, probability angular momentum, and the climate system
- Exact results for a simple epidemic model on a directed network: Explorations of a system in a non-equilibrium steady state
- Coarsening of "clouds" and dynamic scaling in a far-from-equilibrium model system