2022
DOI: 10.1088/1367-2630/ac9ed6
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White-noise fluctuation theorem for Langevin dynamics

Abstract: Fluctuation theorems based on time-reversal have provided remarkable insight into the non-equilibrium statistics of thermodynamic quantities like heat, work, and entropy production. These types of laws impose constraints on the distributions of certain trajectory functionals that reflect underlying dynamical symmetries. In this work, we introduce a detailed fluctuation theorem for Langevin dynamics that follows from the statistics of Gaussian white noise rather than from time-reversal. The theorem, which origi… Show more

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Cited by 2 publications
(2 citation statements)
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References 42 publications
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“…(4-7) for modelling the artificial feedback forces. More broadly, understanding the role of delays might also enable the study of perturbative nonlinear non-Markovian stochastic dynamics [32].…”
Section: Delayed Nonlinearitiesmentioning
confidence: 99%
See 1 more Smart Citation
“…(4-7) for modelling the artificial feedback forces. More broadly, understanding the role of delays might also enable the study of perturbative nonlinear non-Markovian stochastic dynamics [32].…”
Section: Delayed Nonlinearitiesmentioning
confidence: 99%
“…Secondly, observation of quantum aspects or preparation of a pure quantum state hinges directly upon decoupling the particle's dynamics from external noise sources. Additionally, control mechanisms also enable the exploration of tweezed nanoparticles as a platform for fundamental physics by introducing additional forces terms to artificially alter the particle's dynamics, allowing the examination of the system response to nonlinear [30] or stochastic driving forces [31,32].…”
Section: Introductionmentioning
confidence: 99%