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arXiv 2203.07927cond-mat.stat-mechphysics.bio-ph
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具有弱涨落关联的非平衡复杂系统的条件熵方法

Conditional entropic approach to nonequilibrium complex systems with weak fluctuation correlation

Yuichi Itto

AI总结:

本文提出一种针对具有弱涨落关联的非平衡复杂系统的条件熵方法,发现弱关联能最大化条件涨落熵,并以细菌内蛋白质扩散等现象为例进行了说明。

摘要:

本文讨论了在大时间尺度上时空涨落量间存在弱关联的非平衡复杂系统的条件熵方法。发现该弱关联构成了使与条件涨落相关的熵最大化的涨落分布。该方法在细菌内蛋白质的扩散现象中得到了说明。针对胚胎中的无膜细胞器和细胞提取物中的微珠,也给出了进一步的示例,它们在扩散中共享涨落的共同性质。

英文摘要:

A conditional entropic approach is discussed for nonequilibrium complex systems with a weak correlation between spatiotemporally fluctuating quantities on a large time scale. The weak correlation is found to constitute the fluctuation distribution that maximizes the entropy associated with the conditional fluctuations. The approach is illustrated in diffusion phenomenon of proteins inside bacteria. A further possible illustration is also presented for membraneless organelles in embryos and beads in cell extracts, which share common natures of fluctuations in their diffusion.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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