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Auteurs principaux: Archambault, Aubin, Crauste-Thibierge, Caroline, Imparato, Alberto, Jarzynski, Christopher, Ciliberto, Sergio, Bellon, Ludovic
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2407.17414
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author Archambault, Aubin
Crauste-Thibierge, Caroline
Imparato, Alberto
Jarzynski, Christopher
Ciliberto, Sergio
Bellon, Ludovic
author_facet Archambault, Aubin
Crauste-Thibierge, Caroline
Imparato, Alberto
Jarzynski, Christopher
Ciliberto, Sergio
Bellon, Ludovic
contents Using a mechanical cantilever submitted to electrostatic feedback control, we investigate the thermodynamic properties of an information engine that extracts work from thermal fluctuations. The cantilever position is rapidly sampled and the feedback is triggered by the first passage of the system across a fixed threshold. The information $ΔI$ associated with the feedback is based on the first-passage-time distribution. In this setting, we derive and experimentally verify two distinct fluctuation theorems that involve $ΔI$ and give a tight bound on the work produced by the engine. Our results extend beyond the specific application to our experiment: we develop a general framework for obtaining fluctuation theorems and work bounds, formulated in terms of probability distributions of protocols rather than underlying measurement outcomes.
format Preprint
id arxiv_https___arxiv_org_abs_2407_17414
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Information engine fueled by first-passage times
Archambault, Aubin
Crauste-Thibierge, Caroline
Imparato, Alberto
Jarzynski, Christopher
Ciliberto, Sergio
Bellon, Ludovic
Statistical Mechanics
Using a mechanical cantilever submitted to electrostatic feedback control, we investigate the thermodynamic properties of an information engine that extracts work from thermal fluctuations. The cantilever position is rapidly sampled and the feedback is triggered by the first passage of the system across a fixed threshold. The information $ΔI$ associated with the feedback is based on the first-passage-time distribution. In this setting, we derive and experimentally verify two distinct fluctuation theorems that involve $ΔI$ and give a tight bound on the work produced by the engine. Our results extend beyond the specific application to our experiment: we develop a general framework for obtaining fluctuation theorems and work bounds, formulated in terms of probability distributions of protocols rather than underlying measurement outcomes.
title Information engine fueled by first-passage times
topic Statistical Mechanics
url https://arxiv.org/abs/2407.17414