Fluctuating Entropy Production on the Coarse-Grained Level: Inference and Localization of Irreversibility DOI Creative Commons
Julius Degünther, Jann van der Meer, Udo Seifert

et al.

arXiv (Cornell University), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Stochastic thermodynamics provides the framework to analyze thermodynamic laws and quantities along individual trajectories of small but fully observable systems. If level fails capture all relevant degrees freedom, some form effective, coarse-grained dynamics naturally emerges for which principles stochastic generally cease be applicable straightforwardly. Our work unifies notion entropy production an trajectory with that a by establishing based on snippets Markovian events as fundamental building blocks. A key asset trajectory-based fluctuating is ability localize contributions total in time space. As illustration potential application inference we introduce method detection hidden driving. The applies equally even odd variables and, therefore, includes peculiar case underdamped Langevin dynamics.

Language: Английский

Fluctuating entropy production on the coarse-grained level: Inference and localization of irreversibility DOI Creative Commons
Julius Degünther, Jann van der Meer, Udo Seifert

et al.

Physical Review Research, Journal Year: 2024, Volume and Issue: 6(2)

Published: May 16, 2024

Stochastic thermodynamics provides the framework to analyze thermodynamic laws and quantities along individual trajectories of small but fully observable systems. If level fails capture all relevant degrees freedom, some form effective, coarse-grained dynamics naturally emerges for which principles stochastic generally cease be applicable straightforwardly. Our work unifies notion entropy production an trajectory with that a by establishing based on snippets Markovian events as fundamental building blocks. A key asset trajectory-based fluctuating is ability localize contributions total in time space. As illustration potential application inference we introduce method detection hidden driving. The applies equally even odd variables and, therefore, includes peculiar case underdamped Langevin dynamics. Published American Physical Society 2024

Language: Английский

Citations

10
Thermodynamic bounds on the asymmetry of cross-correlations with dynamical activity and entropy production DOI
Jie Gu

Physical review. E, Journal Year: 2024, Volume and Issue: 109(4)

Published: April 4, 2024

Entropy production and dynamical activity are two complementary aspects in nonequilibrium physics. The asymmetry of cross-correlation, serving as a distinctive feature nonequilibrium, also finds widespread utility. In this Letter, we establish thermodynamic bounds on the normalized cross-correlation terms entropy rate. These demonstrate broad applicability offer experimental testability.

Language: Английский

Citations

2
Thermodynamic bounds on the asymmetry of cross-correlations with dynamical activity and entropy production DOI Creative Commons
Jie Gu

arXiv (Cornell University), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Entropy production and dynamical activity are two complementary aspects in nonequilibrium physics. The asymmetry of cross-correlation, serving as a distinctive feature nonequilibrium, also finds widespread utility. In this Letter, we establish thermodynamic bounds on the normalized cross-correlation terms entropy rate. These demonstrate broad applicability, offer experimental testability.

Language: Английский

Citations

1
Information geometric bound on general chemical reaction networks DOI

Tsuyoshi Mizohata,

Tetsuya J. Kobayashi, Louis‐S. Bouchard

et al.

Physical review. E, Journal Year: 2024, Volume and Issue: 109(4)

Published: April 11, 2024

We investigate the convergence of chemical reaction networks (CRNs), aiming to establish an upper bound on their rates. The nonlinear characteristics and discrete composition CRNs pose significant challenges in this endeavor. To circumvent these complexities, we adopt information geometric perspective, utilizing natural gradient formulate a system. This system effectively determines for dynamics CRNs. corroborate our methodology through numerical simulations, which reveal that constructed converges more rapidly than within particular class reactions. is defined by count chemicals, highest stoichiometric coefficients reactions, total number reactions involved. Further, juxtapose approach with traditional methods, illustrating latter falls short providing CRN Although investigation centers CRNs, widespread presence hypergraphs across various disciplines, ranging from sciences engineering, indicates potential wider applications method, including realm science.

Language: Английский

Citations

0
Wasserstein distance in speed limit inequalities for Markov jump processes DOI
Naoto Shiraishi

Journal of Statistical Mechanics Theory and Experiment, Journal Year: 2024, Volume and Issue: 2024(7), P. 074003 - 074003

Published: July 19, 2024

Abstract The role of the Wasserstein distance in thermodynamic speed limit inequalities for Markov jump processes is investigated. We elucidate nature inequality from three different perspectives by resolving remaining problems. First, we derive a unified general weighted graph, which reproduces both conventional and trade-off relation between current entropy production as its special case. Second, treat setting where tightest bound with has not yet been obtained investigate why such out reach. Third, compare L 1 -Wasserstein overdamped Langevin systems 2 distance, argue that these two have origins, despite their apparent similarity.

Language: Английский

Citations

0
Interference effects in nonequilibrium quantum transport with long-range interactions DOI Open Access

Marisa Ulfa,

Donny Dwiputra

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2866(1), P. 012088 - 012088

Published: Oct. 1, 2024

Abstract We investigate how long-range power-law hopping interaction, ∼ 1/ r a , affects the characteristics of dissipative quantum transport in nonequilibrium setting. The model under consideration is noninteracting bosonic chain subject to thermal baths differing temperature at its boundaries and dephasing noise which applied uniformly all sites. It shown that steady-state current may vary nonmonotonically has peak for finite depending on position cold bath. This site-specific behaviour stems back interference effect caused by parity total sites N positions. fractional nature system, along with interplay between coherent incoherent transport, will affect steady state characterizes transport.

Language: Английский

Citations

0
Stochastic thermodynamics for biological functions DOI Open Access
Yuansheng Cao, Shiling Liang

Quantitative Biology, Journal Year: 2024, Volume and Issue: 13(1)

Published: Dec. 16, 2024

Abstract Living systems operate within physical constraints imposed by nonequilibrium thermodynamics. This review explores recent advancements in applying these principles to understand the fundamental limits of biological functions. We introduce framework stochastic thermodynamics and its developments, followed application various systems. emphasize interconnectedness kinetics energetics this framework, focusing on how network topology, kinetics, influence functions thermodynamically consistent models. discuss examples areas molecular machine, error correction, sensing, collective behaviors. aims bridge physics biology fostering a quantitative understanding

Language: Английский

Citations

0
Fluctuating Entropy Production on the Coarse-Grained Level: Inference and Localization of Irreversibility DOI Creative Commons
Julius Degünther, Jann van der Meer, Udo Seifert

et al.

arXiv (Cornell University), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Stochastic thermodynamics provides the framework to analyze thermodynamic laws and quantities along individual trajectories of small but fully observable systems. If level fails capture all relevant degrees freedom, some form effective, coarse-grained dynamics naturally emerges for which principles stochastic generally cease be applicable straightforwardly. Our work unifies notion entropy production an trajectory with that a by establishing based on snippets Markovian events as fundamental building blocks. A key asset trajectory-based fluctuating is ability localize contributions total in time space. As illustration potential application inference we introduce method detection hidden driving. The applies equally even odd variables and, therefore, includes peculiar case underdamped Langevin dynamics.

Language: Английский

Citations

0