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Article Dans Une Revue Journal of Statistical Mechanics: Theory and Experiment Année : 2022

Dynamical equivalence classes for Markov jump processes

Résumé

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.
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Dates et versions

hal-03377149 , version 1 (21-03-2024)

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Citer

Gatien Verley. Dynamical equivalence classes for Markov jump processes. Journal of Statistical Mechanics: Theory and Experiment, 2022, 2202 (2), pp.023211. ⟨10.1088/1742-5468/ac4981⟩. ⟨hal-03377149⟩
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