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PreprintarXiv licencearXiv

A method for calculating entropy production without knowing transition rates or dwell times

Abstract

The entropy production rate is central to the study of non-equilibrium systems. This parameter is closely connected to violation of time-reversal symmetry, energy consumption, efficiency, and other properties of interest; in short, it quantifies how far a system is from thermodynamic equilibrium. Standard formulas for the entropy production require knowledge of the system's underlying dynamics, but this knowledge may be hard to acquire in practice. Here, I present a method for inferring the entropy production rate of a Markovian system from the sequence of states that the system occupies on a single long trajectory or many shorter trajectories, and the total time of the trajectory or trajectories. The method does not require knowledge of the dwell times in the various states, the times at which transitions occur, or of the transition rates characterizing the Markov process.

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BibTeX
@misc{biddle2026method,
  title = {{A method for calculating entropy production without knowing transition rates or dwell times}},
  author = {John W. Biddle},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2605.27635},
  eprint = {2605.27635},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.27635},
}
RIS
TY  - UNPB
TI  - A method for calculating entropy production without knowing transition rates or dwell times
AU  - John W. Biddle
PY  - 2026
DA  - 2026/10/23
PB  - arXiv
DO  - 10.48550/arxiv.2605.27635
UR  - https://arxiv.org/abs/2605.27635
AB  - The entropy production rate is central to the study of non-equilibrium systems. This parameter is closely connected to violation of time-reversal symmetry, energy consumption, efficiency, and other properties of interest; in short, it quantifies how far a system is from thermodynamic equilibrium. Standard formulas for the entropy production require knowledge of the system's underlying dynamics, but this knowledge may be hard to acquire in practice. Here, I present a method for inferring the entropy production rate of a Markovian system from the sequence of states that the system occupies on a single long trajectory or many shorter trajectories, and the total time of the trajectory or trajectories. The method does not require knowledge of the dwell times in the various states, the times at which transitions occur, or of the transition rates characterizing the Markov process.
ER  -