Estimating Entropy Production Rates with First-Passage Processes
Izaak Neri

TL;DR
This paper introduces a method using first-passage ratios to accurately estimate entropy production rates in nonequilibrium processes, even at finite thresholds and for non-proportional currents, capturing dissipation more effectively than existing methods.
Contribution
It demonstrates that first-passage ratios can reliably estimate entropy production in finite conditions and regimes far from equilibrium, incorporating non-Markovian effects.
Findings
First-passage ratios estimate a significant fraction of entropy production.
They remain accurate at finite thresholds and for non-proportional currents.
They incorporate non-Markovian statistics, unlike other methods.
Abstract
We consider the problem of estimating the mean entropy production rate in a nonequilibrium process from the measurements of first-passage quantities associated with a single current. For first-passage processes with large thresholds, Refs. [1, 2] identified a ratio of first-passage observables - involving the mean first-passage time, the splitting probability, and the first-passage thresholds - that lower bounds the entropy production rate and is an unbiased estimator of the entropy production rate when applied to a current that is proportional to the stochastic entropy production. Here, we show that also at finite thresholds, a finite number of realisations of the nonequilibrium process, and for currents that are not proportional to the stochastic entropy production, first-passage ratios can accurately estimate the rate of dissipation. In particular, first-passage ratios capture a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
