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具有有源奥恩斯坦-乌伦贝克粒子的系统的热力学不确定性关系。

Thermodynamic uncertainty relation for systems with active Ornstein-Uhlenbeck particles.

作者信息

Han Hyeong-Tark, Lee Jae Sung, Jeon Jae-Hyung

机构信息

Department of Physics, POSTECH, 77 Cheongam-Ro, Pohang 37673, Republic of Korea.

School of Physics, Korea Institute for Advanced Study, 85 Hoegiro, Seoul 02455, Republic of Korea.

出版信息

PNAS Nexus. 2025 May 22;4(6):pgaf160. doi: 10.1093/pnasnexus/pgaf160. eCollection 2025 Jun.

Abstract

Thermodynamic uncertainty relations (TURs) delineate tradeoff relations between the thermodynamic cost and the magnitude of an observable's fluctuation. While TURs have been established for various nonequilibrium systems, their applicability to systems influenced by active noise remains largely unexplored. Here, we present an explicit expression of TUR for systems with active Ornstein-Uhlenbeck particles (AOUPs). Our findings reveal that active noise introduces modifications to the terms associated with the thermodynamic cost in the TUR expression. The altered thermodynamic cost encompasses not only the conventional entropy production but also the energy consumption induced by the active noise. We examine the capability of this TUR as an accurate estimator of the extent of anomalous diffusion in systems with active noise driven by a constant force in free space. By introducing the concept of a contracted probability density function, we derive a steady-state TUR tailored to this system. Moreover, through the adoption of a new scaling parameter, we enhance and optimize the TUR bound further. Our results demonstrate that active noise tends to hinder accurate estimation of the anomalous diffusion extent. Our study offers a systematic approach for exploring the fluctuation nature of biological systems operating in active environments.

摘要

热力学不确定性关系(TURs)描绘了热力学成本与可观测量涨落幅度之间的权衡关系。虽然已经为各种非平衡系统建立了TURs,但它们对受有源噪声影响的系统的适用性在很大程度上仍未得到探索。在这里,我们给出了具有有源奥恩斯坦 - 乌伦贝克粒子(AOUPs)的系统的TUR的明确表达式。我们的研究结果表明,有源噪声对TUR表达式中与热力学成本相关的项进行了修正。改变后的热力学成本不仅包括传统的熵产生,还包括有源噪声引起的能量消耗。我们研究了这种TUR作为自由空间中由恒定力驱动的有源噪声系统中反常扩散程度的精确估计器的能力。通过引入收缩概率密度函数的概念,我们推导出了适合该系统的稳态TUR。此外,通过采用新的缩放参数,我们进一步增强和优化了TUR界限。我们的结果表明,有源噪声往往会阻碍对反常扩散程度的准确估计。我们的研究为探索在活跃环境中运行的生物系统的涨落性质提供了一种系统方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c57/12202210/3defdfb69644/pgaf160f1.jpg

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