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arXiv 2602.19249cond-mat.softcond-mat.stat-mech
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关于活性膜的统计力学:一些选定结果

On the Statistical Mechanics of Active Membranes: Some Selected Results

University of Houston(休斯顿大学);University of Pennsylvania(宾夕法尼亚大学)

Sreekanth Ramesh, Prashant K. Purohit, Yashashree Kulkarni

AI总结:

本文通过非平衡统计力学框架,推导了活性膜的四个基本机械特性,揭示了波动谱在理解被动和主动膜力学中的作用。

摘要:

生物膜和囊泡在生命系统中扮演着核心角色,形成动态界面,调节细胞组织和功能。基于平衡统计力学和线性弹性理论的经典膜力学描述已深入揭示了膜形态以及热波动对细胞功能的作用。然而,真实的生物膜远离平衡,持续受到能量消耗蛋白驱动的主动过程影响。在本工作中,我们采用非平衡统计力学框架来建模活性膜,并推导出四个表征其机械行为的基本性质的解析表达式:(a)张力面积关系,(b)波动幅度的均方值,(c)法向量的相关性,以及(d)持久长度。这些结果共同突显了波动谱作为揭示被动和主动膜力学的基础作用。此外,这些结果为分析和解释基于波动的活性膜行为检测提供了理论基础。

英文摘要:

Biological membranes and vesicles play a central role in living systems, forming dynamic interfaces that regulate cellular organization and function. Classical descriptions of membrane mechanics that are rooted in equilibrium statistical mechanics and linear elasticity have yielded deep insights into membrane morphology and the role of thermal fluctuations on cellular function. However, real biological membranes operate far from equilibrium, continuously driven by active processes powered by energy consuming proteins. In this work, we employ a nonequilibrium statistical mechanics framework to model active membranes and derive analytical expressions for four fundamental properties that characterize their mechanical behavior: (a) the tension area relation, (b) the mean square amplitude of fluctuations, (c) correlation of normal vectors, and (d) the persistence length. These results collectively highlight the utility of fluctuation spectra as a starting point for elucidating membrane mechanics in both passive and active settings. Moreover, these results provide a theoretical basis for analyzing and interpreting fluctuation based assays of active membrane behavior.

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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