The Measure-theoretic Identity Underlying Transient Fluctuation Theorems
Benjamin Hertz Shargel

TL;DR
This paper establishes a fundamental measure-theoretic identity that explains the core principles of transient fluctuation theorems in thermodynamics, revealing their mathematical foundations and limitations across various stochastic and deterministic processes.
Contribution
It introduces a general measure-theoretic framework for TFTs, clarifies the role of trajectory transformations, and discusses convergence issues affecting asymptotic fluctuation theorems.
Findings
The identity applies to both deterministic and stochastic processes.
Convergence of moment generating functions is limited to a vertical strip in the complex plane.
Certain biased birth-death processes do not satisfy asymptotic fluctuation theorems.
Abstract
We prove a measure-theoretic identity that underlies all transient fluctuation theorems (TFTs) for entropy production and dissipated work in inhomogeneous deterministic and stochastic processes, including those of Evans and Searles, Crooks, and Seifert. The identity is used to deduce a tautological physical interpretation of TFTs in terms of the arrow of time, and its generality reveals that the self-inverse nature of the various trajectory and process transformations historically relied upon to prove TFTs, while necessary for these theorems from a physical standpoint, is not necessary from a mathematical one. The moment generating functions of thermodynamic variables appearing in the identity are shown to converge in general only in a vertical strip in the complex plane, with the consequence that a TFT that holds over arbitrary timescales may fail to give rise to an asymptotic…
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