Litcius/Paper detail

Mutual Linearity of Nonequilibrium Network Currents

Pedro E. Harunari, Sara Dal Cengio, Vivien Lecomte, Matteo Polettini

2024Physical Review Letters21 citationsDOIOpen Access PDF

Abstract

For continuous-time Markov chains and open unimolecular chemical reaction networks, we prove that any two stationary currents are linearly related upon perturbations of a single edge's transition rates, arbitrarily far from equilibrium. We extend the result to nonstationary currents in the frequency domain, provide and discuss an explicit expression for the current-current susceptibility in terms of the network topology, and discuss possible generalizations. In practical scenarios, the mutual linearity relation has predictive power and can be used as a tool for inference or model proof testing.

Topics & Concepts

LinearityNon-equilibrium thermodynamicsStatistical physicsCurrent (fluid)InferenceTopology (electrical circuits)Markov chainComputer sciencePhysicsPower (physics)Markov processEnhanced Data Rates for GSM EvolutionFrequency domainMathematicsQuantum mechanicsThermodynamicsTelecommunicationsArtificial intelligenceMachine learningComputer visionStatisticsCombinatoricsAdvanced Thermodynamics and Statistical MechanicsNeural dynamics and brain functionGene Regulatory Network Analysis
Mutual Linearity of Nonequilibrium Network Currents | Litcius