Measuring irreversibility by counting: a random coarse-graining framework
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909803783127040 |
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| author | Bao, Ruicheng Ohga, Naruo Ito, Sosuke |
| author_facet | Bao, Ruicheng Ohga, Naruo Ito, Sosuke |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_11586 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Measuring irreversibility by counting: a random coarse-graining framework Bao, Ruicheng Ohga, Naruo Ito, Sosuke Statistical Mechanics Mesoscale and Nanoscale Physics Soft Condensed Matter Biological Physics 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. |
| title | Measuring irreversibility by counting: a random coarse-graining framework |
| topic | Statistical Mechanics Mesoscale and Nanoscale Physics Soft Condensed Matter Biological Physics |
| url | https://arxiv.org/abs/2508.11586 |