A unifying picture of generalized thermodynamic uncertainty relations
A.C. Barato, R. Chetrite, A. Faggionato, D. Gabrielli

TL;DR
This paper develops a unified framework for generalized thermodynamic uncertainty relations (GTURs) applicable to time-periodic Markov chains, extending and strengthening previous bounds for a broad class of functionals beyond currents.
Contribution
It introduces new methods to derive universal lower bounds on fluctuations in time-periodic Markov processes, generalizing existing GTURs and providing a comprehensive comparison of different bounds.
Findings
Derived stronger bounds for fluctuations in time-periodic systems.
Extended GTURs to more general functionals and protocols.
Unified various existing GTURs into a comprehensive framework.
Abstract
The thermodynamic uncertainty relation is a universal trade-off relation connecting the precision of a current with the average dissipation at large times. For continuous time Markov chains (also called Markov jump processes) this relation is valid in the time-homogeneous case, while it fails in the time-periodic case. The latter is relevant for the study of several small thermodynamic systems. We consider here a time-periodic Markov chain with continuous time and a broad class of functionals of stochastic trajectories, which are general linear combinations of the empirical flow and the empirical density. Inspired by the analysis done in our previous work [1], we provide general methods to get local quadratic bounds for large deviations, which lead to universal lower bounds on the ratio of the diffusion coefficient to the squared average value in terms of suitable universal rates,…
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