Mutual Entropy-Production and Sensing in Bipartite Systems

Abstract

We introduce and analyze the notion of mutual entropy-production (MEP) in autonomous systems. Evaluating MEP rates is in general a difficult task due to non-Markovian effects. For bipartite systems, we provide closed expressions in various limiting regimes which we verify using numerical simulations. Based on the study of a biochemical and an electronic sensing model, we suggest that the MEP rates provide a relevant measure of the accuracy of sensing.

9 pages, 6 figures

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• Sensory capacity: an information theoretical measure of the performance of a sensor
• Entropy production and fluctuation theorems for Langevin processes under continuous non-Markovian feedback control
• Stochastic thermodynamics of Langevin systems under time-delayed feedback control: I. Second-law-like inequalities
• Thermodynamic limits to information harvesting by sensory systems
• Entropy production in exactly solvable systems
• The Second Laws for an Information driven Current through a Spin Valve
• Maximum work extraction and implementation costs for non-equilibrium Maxwell's demons
• Violation of Local Detailed Balance Despite a Clear Time-Scale Separation
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• Information Arbitrage in Bipartite Heat Engines
• A universal lower bound on the free energy cost of molecular measurements
• Thermodynamic role of main reaction pathway and multi-body information flow in membrane transport
• Experimental Verification of Demon-Involved Fluctuation Theorems
• Detecting concentration changes with cooperative receptors
• Bounds on the rates of statistical divergences and mutual information via stochastic thermodynamics