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Transparent diffusion-limited aggregation in one dimension

机译:一维透明扩散限制聚合

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摘要

We introduce a transparent version of diffusion-limited aggregation (DLA) wherein the walkers stick to the aggregate with probability mu less than unity and are allowed to penetrate the aggregate. We study this model in one spatial dimension. We show that the ensemble average of this process is in the steady state only when one takes the average in the instantaneous frame of the lead particle. We calculate this average exactly for mu near one. For small sticking probability, we introduce a mean-field treatment. As opposed to the standard mean-field treatments of DLA, our version, based on our novel ensemble average, shows no singular behaviour and no need for ad-hoc cut-off procedures. This mean-field treatment in quantitatively accurate as long as mu is not too small and qualitatively correct for all mu. We discuss the quantitative breakdown of the mean-field treatment for very small mu and directions towards improvement. The implications of these findings and future directions for research are also discussed. [References: 16]
机译:我们引入了一种透明形式的扩散限制聚集(DLA),其中,步行者以小于单位1的概率黏附到聚集体,并允许其穿透聚集体。我们在一个空间维度上研究此模型。我们表明,只有当一个人在铅粒子的瞬时框架中取平均值时,该过程的整体平均值才处于稳态。我们精确地计算出接近1的亩的平均值。对于较小的粘附概率,我们引入均值场处理。与DLA的标准平均场处理相反,我们的版本基于我们的新的集成平均数,显示没有奇异的行为,也不需要临时截断程序。只要mu不太小,这种定量范围内的均值处理就准确,并且对所有mu都定性正确。我们讨论了非常小的亩均值处理的数量分解以及改进的方向。还讨论了这些发现的含义以及未来的研究方向。 [参考:16]

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