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Auteurs principaux: Archambault, Aubin, Crauste-Thibierge, Caroline, Ciliberto, Sergio, Bellon, Ludovic
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2407.06672
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author Archambault, Aubin
Crauste-Thibierge, Caroline
Ciliberto, Sergio
Bellon, Ludovic
author_facet Archambault, Aubin
Crauste-Thibierge, Caroline
Ciliberto, Sergio
Bellon, Ludovic
contents We describe an experiment on an underdamped mechanical oscillator used as an information engine. The system is equivalent to an inertial Brownian particle confined in a harmonic potential whose center is controlled by a feedback protocol which measures the particle position at a specific sampling frequency $1/τ$. Several feedback protocols are applied and the power generated by the engine is measured as a function of the oscillator parameters and the sampling frequency. The optimal parameters are then determined. The results are compared to the theoretical predictions and numerical simulations on overdamped systems. We highlight the specific effects of inertia, which can be used to increase the amount of power extracted by the engine. In the regime of large $τ$, we show that the produced work has a tight bound determined by information theories.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06672
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Inertial effects in discrete sampling information engines
Archambault, Aubin
Crauste-Thibierge, Caroline
Ciliberto, Sergio
Bellon, Ludovic
Statistical Mechanics
We describe an experiment on an underdamped mechanical oscillator used as an information engine. The system is equivalent to an inertial Brownian particle confined in a harmonic potential whose center is controlled by a feedback protocol which measures the particle position at a specific sampling frequency $1/τ$. Several feedback protocols are applied and the power generated by the engine is measured as a function of the oscillator parameters and the sampling frequency. The optimal parameters are then determined. The results are compared to the theoretical predictions and numerical simulations on overdamped systems. We highlight the specific effects of inertia, which can be used to increase the amount of power extracted by the engine. In the regime of large $τ$, we show that the produced work has a tight bound determined by information theories.
title Inertial effects in discrete sampling information engines
topic Statistical Mechanics
url https://arxiv.org/abs/2407.06672