Entropy production related properties of first passage process
Yunxin Zhang

TL;DR
This paper investigates how entropy production influences key properties of first passage processes in stochastic thermodynamics, providing approximate formulas and uncertainty relations for mean first passage time and total jumps.
Contribution
It introduces approximated expressions for FPT and TNJ, and establishes uncertainty relations in the context of nonequilibrium birth-death processes.
Findings
Mean FPT decreases exponentially with entropy production.
Mean TNJ initially decreases exponentially then approaches a limit.
CVs of FPT and TNJ exhibit exponential decay or tend to one depending on bias.
Abstract
With nontrivial entropy production, first passage process is one of the most common nonequilibrium process in stochastic thermodynamics. Using one dimensional birth and death precess as a model framework, approximated expressions of mean first passage time (FPT), mean total number of jumps (TNJ), and their coefficients of variation (CV), are obtained for the case far from equilibrium. Consequently, uncertainty relations for FPT and TNJ are presented. Generally, mean FPT decreases exponentially with entropy production, while mean TNJ decreases exponentially first and then tends to a starting site dependent limit. For forward biased process, the CV of TNJ decreases exponentially with entropy production, while that of FPT decreases exponentially first and then tends to a starting site dependent limit. For backward biased process, both CVs of FPT and TNJ tend to one for large absolute…
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.
Taxonomy
TopicsNeural Networks and Applications
