English

Improving thermodynamic bounds using correlations

Statistical Mechanics 2022-01-10 v2

Abstract

We discuss how to use correlations between different physical observables to improve recently obtained thermodynamics bounds, notably the fluctuation-response inequality (FRI) and the thermodynamic uncertainty relation (TUR). We show that increasing the number of measured observables will always produce a tighter bound. This tighter bound becomes particularly useful if one of the observables is a conserved quantity, whose expectation is invariant under a given perturbation of the system. For the case of the TUR, we show that this applies to any function of the state of the system. The resulting correlation-TUR takes into account the correlations between a current and a non-current observable, thereby tightening the TUR. We demonstrate our finding on a model of the F1\text{F}_1-ATPase molecular motor, a Markov jump model consisting of two rings and transport through a two-dimensional channel. We find that the correlation-TUR is significantly tighter than the TUR and can be close to an equality even far from equilibrium.

Keywords

Cite

@article{arxiv.2104.04169,
  title  = {Improving thermodynamic bounds using correlations},
  author = {Andreas Dechant and Shin-ichi Sasa},
  journal= {arXiv preprint arXiv:2104.04169},
  year   = {2022}
}

Comments

18 pages, 7 figures

R2 v1 2026-06-24T00:59:25.124Z