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arXiv 2301.00563cond-mat.stat-mechcond-mat.dis-nn
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具有淬火无序的全非对称简单排他过程中输运系数的样本间涨落

Sample-to-sample fluctuations of transport coefficients in the totally asymmetric simple exclusion process with quenched disorder

Issei Sakai, Takuma Akimoto

AI总结:

本文研究淬火无序环境下全非对称简单排他过程的输运性质,利用平均场近似和更新理论给出电流与扩散系数的解析表达式,并揭示其非自平均效应及样本间涨落服从Weibull分布。

摘要:

我们考虑淬火随机能量景观上的全非对称简单排他过程。我们证明电流和扩散系数不同于均匀环境中的结果。利用平均场近似,我们在粒子密度较低或较高时解析地得到了格点密度。因此,电流和扩散系数分别由粒子或空穴的稀薄极限描述。然而,在中间区域,由于多体效应,电流和扩散系数不同于单粒子动力学的结果。在中间区域,电流几乎恒定并达到最大值。此外,在中间区域,扩散系数随粒子密度增大而减小。我们基于更新理论得到了最大电流和扩散系数的解析表达式。最深的能量深度在决定最大电流和扩散系数方面起着核心作用。因此,最大电流和扩散系数关键地依赖于无序,即非自平均。基于极值理论,我们发现最大电流和扩散系数的样本间涨落由Weibull分布刻画。我们证明,随着系统尺寸增大,最大电流和扩散系数的无序平均收敛到零,并量化了最大电流和扩散系数的非自平均效应程度。

英文摘要:

We consider the totally asymmetric simple exclusion processes on quenched random energy landscapes. We show that the current and the diffusion coefficient differ from those for homogeneous environments. Using the mean-field approximation, we analytically obtain the site density when the particle density is low or high. As a result, the current and the diffusion coefficient are described by the dilute limit of particles or holes, respectively. However, in the intermediate regime, due to the many-body effect, the current and the diffusion coefficient differ from those for single-particle dynamics. The current is almost constant and becomes the maximal value in the intermediate regime. Moreover, the diffusion coefficient decreases with the particle density in the intermediate regime. We obtain analytical expressions for the maximal current and the diffusion coefficient based on the renewal theory. The deepest energy depth plays a central role in determining the maximal current and the diffusion coefficient. As a result, the maximal current and the diffusion coefficient depend crucially on the disorder, i.e., non-self-averaging. Based on the extreme value theory, we find that sample-to-sample fluctuations of the maximal current and diffusion coefficient are characterized by the Weibull distribution. We show that the disorder averages of the maximal current and the diffusion coefficient converge to zero as the system size is increased and quantify the degree of the non-self-averaging effect for the maximal current and the diffusion coefficient.

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