猝灭无序环境中的两种布朗非高斯扩散

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
X. Luo , X.J. Dai , Y.P. Li , W.Y. Fan , M. Hu , C.Y. Wang
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引用次数: 0

摘要

异常扩散现象在活细胞等淬火无序环境中被广泛观察到,并引起了广泛的关注。本文在时空相关连续时间随机漫步(CTRW)的框架下,研究了两种布朗非高斯扩散。一是当等待时间密度满足弱渐近形式ω(τ) ~ τ−(1+σ)且1<;σ<;2时,其均方位移(MSD)在演化过程中表现出交叉现象,并最终在大时间尺度上随时间线性增加,而其概率密度函数(PDF)呈现出尖角形状。二是当时间密度遵循指数分布ω(τ) ~ exp(−τ)时,其MSD总是随时间线性增加,但其PDF在大时间尺度上呈现广义指数形状并跨越到标准高斯分布。通过对MSD和PDF的计算,对扩散行为进行了分析和讨论。结果表明,前者的异常扩散是由于ω(τ)的弱渐近性质,而后者是由于粒子在初始时刻处于淬火无序环境中的非遍量性。该模型解释了复杂非均匀环境中的随机运动,并再现了生物和物理系统中不同的观测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two types of Brownian yet non-Gaussian diffusion in the quenched disordered environment
Anomalous diffusion has been widely observed in quenched disordered environments such as living cells, and has attracted wide attention. Within the framework of the space–time correlated continuous-time random walk (CTRW), this manuscript studies two types of Brownian yet non-Gaussian diffusion. One is that when the waiting time density satisfies the weak asymptotic form ω(τ)τ(1+σ) with 1<σ<2, its mean-squared displacement (MSD) exhibits a crossover phenomenon during the evolution process and eventually increases linearly with time at large timescales, while its probability density function (PDF) shows a sharp shape. The other is that when the time density follows an exponential distribution ω(τ)exp(τ), its MSD always increases linearly with time, yet its PDF exhibits a generalized exponential shape and crosses over to a standard Gaussian distribution at large timescales. The diffusive behaviors are analyzed and discussed by calculating the MSD and PDF. The results reveal that the anomalous diffusion of the former is due to the weak asymptotic property of ω(τ) while the latter is due to the nonergodicity of particles in the quenched disordered environment at the initial moment. The model explains the random motions in complex inhomogeneous environments and reproduces different observational results in biological and physical systems.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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