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涨落主导的相序动力学:起伏表面上的硬核被动滑块

Dynamics of fluctuation-dominated phase ordering: hard-core passive sliders on a fluctuating surface.

作者信息

Chatterjee Sakuntala, Barma Mustansir

机构信息

Department of Theoretical Physics, Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai-400005, India.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jan;73(1 Pt 1):011107. doi: 10.1103/PhysRevE.73.011107. Epub 2006 Jan 23.

Abstract

We study the dynamics of a system of hard-core particles sliding downwards on a one-dimensional fluctuating interface, which in a special case can be mapped to the problem of a passive scalar advected by a Burgers fluid. Driven by the surface fluctuations, the particles show a tendency to cluster, but the hard-core interaction prevents collapse. We use numerical simulations to measure the autocorrelation function in steady state and in the aging regime, and space-time correlation functions in steady state. We have also calculated these quantities analytically in a related surface model. The steady-state autocorrelation is a scaling function of t/L(z), where L is the system size and z is the dynamic exponent. Starting from a finite intercept, the scaling function decays with a cusp, in the small argument limit. The finite value of the intercept indicates the existence of long-range order in the system. The space-time correlation, which is a function of r/L and t/L(z), is nonmonotonic in t for fixed r. The aging autocorrelation is a scaling function of t(1) and t(2) where t(1) is the waiting time and t(2) is the time difference. This scaling function decays as a power law for t(2)>>t(1); for t(1)>>t(2), it decays with a cusp as in steady state. To reconcile the occurrence of strong fluctuations in the steady state with the fact of an ordered state, we measured the distribution function of the length of the largest cluster. This shows that fluctuations never destroy ordering, but rather the system meanders from one ordered configuration to another on a relatively rapid time scale.

摘要

我们研究了一维波动界面上向下滑动的硬核粒子系统的动力学,在特殊情况下,该系统可映射为被动标量在伯格斯流体中平流的问题。在表面波动的驱动下,粒子表现出聚集的趋势,但硬核相互作用阻止了粒子的坍缩。我们使用数值模拟来测量稳态和老化状态下的自相关函数,以及稳态下的时空相关函数。我们还在一个相关的表面模型中对这些量进行了解析计算。稳态自相关是t/L(z)的标度函数,其中L是系统大小,z是动力学指数。从小的自变量极限开始,标度函数从一个有限截距开始以尖点形式衰减。截距的有限值表明系统中存在长程序。时空相关是r/L和t/L(z)的函数,对于固定的r,它在时间t上是非单调的。老化自相关是t(1)和t(2)的标度函数,其中t(1)是等待时间,t(2)是时间差。对于t(2)>>t(1),这个标度函数按幂律衰减;对于t(1)>>t(2),它如在稳态下一样以尖点形式衰减。为了使稳态中强波动的出现与有序状态的事实相协调,我们测量了最大团簇长度的分布函数。这表明波动从未破坏有序性,而是系统在相对较快的时间尺度上从一种有序构型蜿蜒到另一种有序构型。

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