Mutual Entropy-Production and Sensing in Bipartite Systems

TL;DR

This paper introduces mutual entropy-production (MEP) as a measure in autonomous bipartite systems, providing analytical expressions and demonstrating its relevance for sensing accuracy through biochemical and electronic models.

Contribution

The paper defines MEP in bipartite systems, derives closed-form expressions in certain regimes, and links MEP rates to sensing accuracy, supported by numerical simulations.

Findings

Closed-form MEP expressions in limiting regimes

Numerical verification of MEP calculations

MEP rates correlate with sensing accuracy

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.