Information-Optimal Mixing at Low Reynolds Number

Mutual information between particle positions before and after mixing provides a universal assumption-free measure of mixing efficiency at low Reynolds number that accounts for the kinematic reversibility of the Stokes equation. For a generic planar shear flow with time-dependent shear rate, we derive a compact expression for the mutual information as a nonlinear functional of the shearing protocol and solve the associated extremization problem exactly to determine the optimal control under both linear and nonlinear constraints, specifically total shear and total dissipation per unit volume. Remarkably, optimal protocols turn out to be universal and time-reversal symmetric in both cases. Our results establish a minimum energetic cost of erasing information in a broad class of nonequilibrium drift-diffusive systems.

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Publication Details

Journal
Physical Review Letters
Published
2025-06-24
DOI
https://doi.org/10.1103/cl9m-cmhb
Citations
1
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
1.32

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article

Information-Optimal Mixing at Low Reynolds Number

Luca Cocconi, Andrej Vilfan, Yihong Shi
1 citations
Physical Review Letters
Advanced Thermodynamics and Statistical Mechanics
1.32
article

Information-Optimal Mixing at Low Reynolds Number

Luca Cocconi, Andrej Vilfan, Yihong Shi
article en
1 citations

Abstract

Mutual information between particle positions before and after mixing provides a universal assumption-free measure of mixing efficiency at low Reynolds number that accounts for the kinematic reversibility of the Stokes equation. For a generic planar shear flow with time-dependent shear rate, we derive a compact expression for the mutual information as a nonlinear functional of the shearing protocol and solve the associated extremization problem exactly to determine the optimal control under both linear and nonlinear constraints, specifically total shear and total dissipation per unit volume. Remarkably, optimal protocols turn out to be universal and time-reversal symmetric in both cases. Our results establish a minimum energetic cost of erasing information in a broad class of nonequilibrium drift-diffusive systems.

Physical Review LettersVol. 135(3)
Jožef Stefan Institute (SI), Max Planck Institute for Dynamics and Self-Organization (DE)
Alexander von Humboldt-Stiftung, Javna Agencija za Raziskovalno Dejavnost RS
Openalex Percentile: Top 18%
Advanced Thermodynamics and Statistical Mechanics
1.32
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Information-Optimal Mixing at Low Reynolds Number — Luca Cocconi, Andrej Vilfan, et al. · Physical Review Letters (2025) | TGRS Research Map | TGRS