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This paper advances the theoretical framework for analyzing stochastic excursions in out-of-equilibrium systems, bridging statistical mechanics and quantum physics through rigorous counting statistics. By deriving explicit formulas for moments of observables and fluctuation theorems at single-excursion levels, it provides essential tools for modeling complex dynamics in fields ranging from biological motors to three-qubit absorption refrigerators. The work deepens our understanding of thermodynamic trade-offs between entropy production and dynamical activity within quantum thermal machines.
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Framework for fluctuating times and counting observables in stochastic excursions

arXiv3 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2506.05160v3 Announce Type: replace-cross Abstract: Many natural systems exhibit dynamics characterized by alternating phases or recurring sets of states. Describing the fluctuations of such systems over stochastic trajectories is necessary across diverse fields, from biological motors to quantum thermal machines. In an accompanying Letter, we introduced the notion of stochastic excursions$-$a framework to analyze out of equilibrium processes via sub-trajectories. Through counting observables, this framework captures finite-time fluctuations and trajectory-level behavior, which provides insights into thermodynamical trade-offs between thermodynamic quantities of interest, such as entropy production and dynamical activity. In this work, we enhance this formalism by providing a suite of technical results on how to efficiently compute excursion-related quantities. Our analytical results provide explicit formulas for general moments of counting variables and excursion duration, as well as their covariance and conditional moments. We show that excursion statistics recover full counting statistics results, and uncover a relation between fluctuations of counting observables at single-excursion level and the steady state diffusion coefficient (noise). We also discuss a fluctuation theorem for individual excursions and show that it implies a modified thermodynamic uncertainty relation at the excursion level. In addition, we explore how analyzing excursions and using the results developed here can yield insights into three problems of interest: the three-qubit absorption refrigerator, cellular sensing, and birth-and-death processes.

Abstract:Many natural systems exhibit dynamics characterized by alternating phases or recurring sets of states. Describing the fluctuations of such systems over stochastic trajectories is necessary across diverse fields, from biological motors to quantum thermal machines. In an accompanying Letter, we introduced the notion of stochastic excursions$-$a framework to analyze out of equilibrium processes via sub-trajectories. Through counting observables, this framework captures finite-time fluctuations and trajectory-level behavior, which provides insights into thermodynamical trade-offs between thermodynamic quantities of interest, such as entropy production and dynamical activity. In this work, we enhance this formalism by providing a suite of technical results on how to efficiently compute excursion-related quantities. Our analytical results provide explicit formulas for general moments of counting variables and excursion duration, as well as their covariance and conditional moments. We show that excursion statistics recover full counting statistics results, and uncover a relation between fluctuations of counting observables at single-excursion level and the steady state diffusion coefficient (noise). We also discuss a fluctuation theorem for individual excursions and show that it implies a modified thermodynamic uncertainty relation at the excursion level. In addition, we explore how analyzing excursions and using the results developed here can yield insights into three problems of interest: the three-qubit absorption refrigerator, cellular sensing, and birth-and-death processes.

Companion paper to arXiv:2505.06208

Statistical Mechanics (cond-mat.stat-mech); Quantum Physics (quant-ph)

arXiv:2506.05160 [cond-mat.stat-mech]

(or arXiv:2506.05160v3 [cond-mat.stat-mech] for this version)

https://doi.org/10.48550/arXiv.2506.05160 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.1103/jydr-1853 Focus to learn more DOI(s) linking to related resources

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