Dynamical equivalence classes for Markov jump processes

Author:

Verley Gatien

Abstract

Abstract Two different Markov jump processes driven out of equilibrium by constant thermodynamic forces may have identical current fluctuations in the stationary state. The concept of dynamical equivalence classes emerges from this statement as proposed by Andrieux for discrete-time Markov chains on simple graphs. We define dynamical equivalence classes in the context of continuous-time Markov chains on multigraphs using the symmetric part of the rate matrices that define the dynamics. The freedom on the skew-symmetric part is at the core of the freedom inside a dynamical equivalence class. It arises from different splittings of the thermodynamic forces onto the system’s transitions.

Publisher

IOP Publishing

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Inverse problem in the conditioning of Markov processes on trajectory observables: what canonical conditionings can connect two given Markov generators?;Journal of Statistical Mechanics: Theory and Experiment;2024-01-01

2. Synthetic Data with Nested Markov Chain for CIMA-Based Smart Lighting Control Deployment Simulation;2023 11th International Conference on Information and Communication Technology (ICoICT);2023-08-23

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