Effective fluctuation and response theory
Matteo Polettini, Massimiliano Esposito

TL;DR
This paper develops a framework for analyzing thermodynamic systems with limited information, introducing effective affinities and fluctuation relations that hold even when full system details are unknown, with practical measurement procedures.
Contribution
It introduces effective affinities and fluctuation relations for marginally observed systems modeled as Markov jump processes, extending thermodynamic analysis beyond complete information.
Findings
Effective affinities satisfy an integral fluctuation relation.
At stalling, a fluctuation-dissipation relation holds despite broken reciprocity.
The paper provides explicit formulas and measurement procedures for effective affinities.
Abstract
The response of thermodynamic systems perturbed out of an equilibrium steady-state is described by the reciprocal and the fluctuation-dissipation relations. The so-called fluctuation theorems extended the study of fluctuations far beyond equilibrium. All these results rely on the crucial assumption that the observer has complete information about the system. Such a precise control is difficult to attain, hence the following questions are compelling: Will an observer who has marginal information be able to perform an effective thermodynamic analysis? Given that such observer will only establish local equilibrium amidst the whirling of hidden degrees of freedom, by perturbing the stalling currents will he/she observe equilibrium-like fluctuations? We model the dynamics of open systems as Markov jump processes on finite networks. We establish that: 1) While marginal currents do not obey a…
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