Fluctuation-Response Design Rules for Nonequilibrium Flows

Fuente: arXiv
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Autori principali: Yang, Ying-Jen, Dill, Ken A.
Natura: Preprint
Pubblicazione: 2026
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author Yang, Ying-Jen
Dill, Ken A.
author_facet Yang, Ying-Jen
Dill, Ken A.
contents Biological machines like molecular motors and enzymes operate in dynamic cycles representable as stochastic flows on networks. Current stochastic dynamics describes such flows on fixed networks. Here, we develop a scalable approach to network design in which local transition rates can be systematically varied to achieve global dynamical objectives. It is based on the fluctuation-response duality in the recent Caliber Force Theory -- a path-entropy variational formalism for nonequilibria. This approach scales efficiently with network complexity and gives new insights, for example revealing the transition from timing- to branching-dominated fluctuations in a kinesin motor model.
format Preprint
id arxiv_https___arxiv_org_abs_2602_10957
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Fluctuation-Response Design Rules for Nonequilibrium Flows
Yang, Ying-Jen
Dill, Ken A.
Statistical Mechanics
Biological Physics
Biological machines like molecular motors and enzymes operate in dynamic cycles representable as stochastic flows on networks. Current stochastic dynamics describes such flows on fixed networks. Here, we develop a scalable approach to network design in which local transition rates can be systematically varied to achieve global dynamical objectives. It is based on the fluctuation-response duality in the recent Caliber Force Theory -- a path-entropy variational formalism for nonequilibria. This approach scales efficiently with network complexity and gives new insights, for example revealing the transition from timing- to branching-dominated fluctuations in a kinesin motor model.
title Fluctuation-Response Design Rules for Nonequilibrium Flows
topic Statistical Mechanics
Biological Physics
url https://arxiv.org/abs/2602.10957