Cycle counts and affinities in stochastic models of nonequilibrium systems

Patrick Pietzonka, Jules Guioth, and Robert L. Jack
Phys. Rev. E 104, 064137 – Published 27 December 2021

Abstract

For nonequilibrium systems described by finite Markov processes, we consider the number of times that a system traverses a cyclic sequence of states (a cycle). The joint distribution of the number of forward and backward instances of any given cycle is described by universal formulas which depend on the cycle affinity, but are otherwise independent of system details. We discuss the similarities and differences of this result to fluctuation theorems, and generalize the result to families of cycles, relevant under coarse graining. Finally, we describe the application of large deviation theory to this cycle-counting problem.

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  • Received 2 August 2021
  • Accepted 8 December 2021

DOI:https://doi.org/10.1103/PhysRevE.104.064137

©2021 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Patrick Pietzonka1, Jules Guioth1,2, and Robert L. Jack1,3

  • 1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, United Kingdom
  • 2Univ. Lyon, ÉNS de Lyon, Univ. Claude Bernard, CNRS, Laboratoire de Physique, F-69342 Lyon, France
  • 3Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom

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Issue

Vol. 104, Iss. 6 — December 2021

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