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arXiv 1505.06110cond-mat.stat-mech
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具有随机容量的零程过程中的凝析油形成

Condensate formation in a zero-range process with random site capacities

Shamik Gupta, Mustansir Barma

摘要:

我们研究了淬火无序对零程过程的影响。零程过程是一个相互作用的粒子在一维周期晶格上进行有偏跳跃的系统,无序通过随机容量进入晶格。在通常的ZRP中,位置可以容纳任意数量的粒子,并且对于一类跳跃率和足够高的密度,稳定状态表现出包含粒子总数的有限分数的凝聚。这里考虑的无序零程过程的站点具有从帕累托分布随机选择的有限容量。从模型的精确稳态测量,我们确定了冷凝物形成的条件,在参数方面,涉及相互作用(通过跳跃率)和随机性(通过站点容量的分布)。我们的预测支持从一个直接的数值采样的稳态和从蒙特卡罗模拟得到的结果。我们的研究表明,对于一个给定的实现无序,冷凝物可以重新定位的子集的网站具有最大的容量。我们还研究了观察凝聚所需的临界密度的样本到样本的变化,并表明相应的分布服从标度,并具有高斯或列维稳定的形式取决于相关参数的值。

英文摘要:

We study the effect of quenched disorder on the zero-range process (ZRP), a system of interacting particles undergoing biased hopping on a one-dimensional periodic lattice, with the disorder entering through random capacities of sites. In the usual ZRP, sites can accommodate an arbitrary number of particles, and for a class of hopping rates and high enough density, the steady state exhibits a condensate which holds a finite fraction of the total number of particles. The sites of the disordered zero-range process considered here have finite capacities chosen randomly from the Pareto distribution. From the exact steady state measure of the model, we identify the conditions for condensate formation, in terms of parameters that involve both interactions (through the hop rates) and randomness (through the distribution of the site capacities). Our predictions are supported by results obtained from a direct numerical sampling of the steady state and from Monte Carlo simulations. Our study reveals that for a given realization of disorder, the condensate can relocate on the subset of sites with largest capacities. We also study sample-to-sample variation of the critical density required to observe condensation, and show that the corresponding distribution obeys scaling, and has a Gaussian or a Levy-stable form depending on the values of the relevant parameters.

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