English

Measuring irreversibility by counting: a random coarse-graining framework

Statistical Mechanics 2025-09-25 v2 Mesoscale and Nanoscale Physics Soft Condensed Matter Biological Physics

Abstract

Thermodynamic irreversibility is a fundamental concept in statistical physics, yet its experimental measurement remains challenging, especially for complex systems. We introduce a novel random coarse-graining framework to identify model-free measures of irreversibility in complex many-body systems. These measures are constructed from the asymmetry of cross-correlation functions between suitably chosen observables, providing rigorous lower bounds on entropy production. For many-particle systems, we propose a particularly practical implementation that divides real space into virtual boxes and monitors particle number densities within them, requiring only simple counting from video microscopy, without single-particle tracking, trajectory reconstruction, or prior knowledge of interactions. Owing to its generality and minimal data requirements, the random coarse-graining framework offers broad applicability across diverse nonequilibrium systems.

Keywords

Cite

@article{arxiv.2508.11586,
  title  = {Measuring irreversibility by counting: a random coarse-graining framework},
  author = {Ruicheng Bao and Naruo Ohga and Sosuke Ito},
  journal= {arXiv preprint arXiv:2508.11586},
  year   = {2025}
}

Comments

5+3 pages, 2 figures, some typos are corrected, Fig. 2 has been replaced

R2 v1 2026-07-01T04:52:12.186Z