ArticleProceedings of the National Academy of Sciences of the United States of America2024
Milestoning estimators of dissipation in systems observed at a coarse resolution.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Identification and quantification of irreversibility in stochastic systems.Physical chemistry chemical physics : PCCP · 2026Review
- Evidence and quantification of memory effects in competitive first-passage events.Science advances · 2025Article
- Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025Review
- Comment on "Inferring broken detailed balance in the absence of observable currents".Nature communications · 2024Article
- General theory for localizing the where and when of entropy production meets single-molecule experiments.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Milestoning estimators of dissipation in systems observed at a coarse resolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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5 authors.
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Abstract
Many nonequilibrium, active processes are observed at a coarse-grained level, where different microscopic configurations are projected onto the same observable state. Such "lumped" observables display memory, and in many cases, the irreversible character of the underlying microscopic dynamics becomes blurred, e.g., when the projection hides dissipative cycles. As a result, the observations appear less irreversible, and it is very challenging to infer the degree of broken time-reversal symmetry. Here we show, contrary to intuition, that by ignoring parts of the already coarse-grained state space we may-via a process called milestoning-improve entropy-production estimates. We present diverse examples where milestoning systematically renders observations "closer to underlying microscopic dynamics" and thereby improves thermodynamic inference from lumped data assuming a given range of memory, and we hypothesize that this effect is quite general. Moreover, whereas the correct general physical definition of time reversal in the presence of memory remains unknown, we here show by means of physically relevant examples that at least for semi-Markov processes of first and second order, waiting-time contributions arising from adopting a naive Markovian definition of time reversal generally must be discarded.
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