Stochastic thermodynamics based on incomplete information: Generalized Jarzynski equality with measurement errors with or without feedback
C. W. W\"achtler, P. Strasberg, T. Brandes

TL;DR
This paper extends stochastic thermodynamics by deriving a generalized Jarzynski equality that accounts for measurement errors and feedback, demonstrating how these factors alter fluctuation relations in driven systems.
Contribution
It introduces a measurement model based on Bayesian inference to derive a generalized fluctuation relation, incorporating measurement errors and feedback effects in stochastic thermodynamics.
Findings
Generalized fluctuation relation for measured work with errors
Standard Jarzynski equality modified by measurement inaccuracies
Feedback control relation valid only for a superobserver with complete information
Abstract
In the derivation of fluctuation relations, and in stochastic thermodynamics in general, it is tacitly assumed that we can measure the system perfectly, i.e., without measurement errors. We here demonstrate for a driven system immersed in a single heat bath, for which the classic Jarzynski equality holds, how to relax this assumption. Based on a general measurement model akin to Bayesian inference we derive a general expression for the fluctuation relation of the measured work and we study the case of an overdamped Brownian particle and of a two-level system in particular. We then generalize our results further and incorporate feedback in our description. We show and argue that, if measurement errors are fully taken into account by the agent who controls and observes the system, the standard Jarzynski-Sagawa-Ueda relation should be formulated…
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.
