Optimal finite-time Maxwell's demons in Langevin systems

We identify the optimal protocols to achieve the minimum entropy production in finite-time information exchange processes in Langevin systems, on the basis of optimal transport theory. Our general results hold even for non-Gaussian cases, while we derive a concise expression of the minimum entropy production for Gaussian processes. In particular, we apply our results to Maxwell's demons that perform measurement and feedback, and demonstrate Gaussian and non-Gaussian models of optimal demons operating in finite time. Our results provide a general strategy for controlling Langevin systems, including colloidal particles and biomolecules, in a thermodynamically optimal manner beyond the quasistatic limit.

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Publication Details

Journal
Physical Review Research
Published
2025-05-19
DOI
https://doi.org/10.1103/physrevresearch.7.023159
Citations
3
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
3.97

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article

Optimal finite-time Maxwell's demons in Langevin systems

Takuya Kamijima, Ken Funo, Asuka Takatsu, Takahiro Sagawa
3 citations
Physical Review Research
Advanced Thermodynamics and Statistical Mechanics
3.97
article

Optimal finite-time Maxwell's demons in Langevin systems

Takuya Kamijima, Ken Funo, Asuka Takatsu, Takahiro Sagawa
article en
3 citations

Abstract

We identify the optimal protocols to achieve the minimum entropy production in finite-time information exchange processes in Langevin systems, on the basis of optimal transport theory. Our general results hold even for non-Gaussian cases, while we derive a concise expression of the minimum entropy production for Gaussian processes. In particular, we apply our results to Maxwell's demons that perform measurement and feedback, and demonstrate Gaussian and non-Gaussian models of optimal demons operating in finite time. Our results provide a general strategy for controlling Langevin systems, including colloidal particles and biomolecules, in a thermodynamically optimal manner beyond the quasistatic limit.

Physical Review ResearchVol. 7(2)
RIKEN Center for Advanced Intelligence Project (JP), Tokyo Metropolitan University (JP), The University of Tokyo (JP)
Japan Science and Technology Corporation, University of Tokyo, Japan Society for the Promotion of Science, Division of Materials Research, Core Research for Evolutional Science and Technology, Exploratory Research for Advanced Technology
Openalex Percentile: Top 7%
Advanced Thermodynamics and Statistical Mechanics
3.97
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Optimal finite-time Maxwell's demons in Langevin systems — Takuya Kamijima, Ken Funo, et al. · Physical Review Research (2025) | TGRS Research Map | TGRS