Estimating entropy production rates with first-passage processes

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, references (Roldan et al 2015 Phys. Rev. Lett. 115 250602; Neri 2022 SciPost Phys. 12 139) 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 finite fraction of the total entropy production rate in regimes far from thermal equilibrium where thermodynamic uncertainty ratios capture a negligible fraction of the total entropy production rate. Moreover, we show that first-passage ratios incorporate nonMarkovian statistics in the estimated value of the dissipation rate, which is difficult to include in estimates based on Kullback-Leibler divergences. Taken together, we show that entropy production estimation with first-passage ratios complements well estimation methods based on thermodynamic uncertainty ratios and Kullback-Leibler divergences.

Automated summary

This study focuses on estimating the mean entropy production rate in a nonequilibrium process by measuring the first-passage quantities associated with a single current. The research shows that first-passage ratios can accurately estimate the rate of dissipation, even in the presence of nonMarkovian statistics.