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Entropy production and thermodynamic inference for stochastic microswimmers

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Chatzittofi,  Michalis       
Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Agudo-Canalejo,  Jaime       
Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Golestanian,  Ramin       
Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Chatzittofi, M., Agudo-Canalejo, J., & Golestanian, R. (2024). Entropy production and thermodynamic inference for stochastic microswimmers. Physical Review Research, 6(2): L022044. doi:10.1103/PhysRevResearch.6.L022044.


Cite as: https://hdl.handle.net/21.11116/0000-000F-678D-F
Abstract
The question of characterization of the degree of nonequilibrium activity in active matter systems is studied in the context of a stochastic microswimmer model driven by a chemical cycle. The resulting dynamical properties and entropy production rate unravel a complex interplay between the chemical and the hydrodynamic degrees of freedom beyond linear response, which is not captured by conventional phenomenological approaches. By studying the precision-dissipation trade off, a new protocol is proposed in which microscopic chemical driving forces can be inferred experimentally. Our findings highlight subtleties associated with the stochastic thermodynamics of autonomous microswimmers.