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Relaxation under outflow dynamics with random sequential updating

机译:流出动力学下的松弛与随机顺序更新

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In this paper we compare the relaxation in several versions of the Sznajd model (SM) with random sequential updating on the chain and square lattice. We start by reviewing briefly all proposed one-dimensional versions of SM. Next, we compare the results obtained from Monte Carlo simulations with the mean field results obtained by Slanina and Lavicka. Finally, we investigate the relaxation on the square lattice and compare two generalizations of SM, one suggested by Stauffer et al. and another by Galam. We show that there are no qualitative differences between these two approaches, although the relaxation within the Galam rule is faster than within the well known Stauffer et al. rule.
机译:在本文中,我们将Sznajd模型(SM)的多个版本中的松弛与链式和方格上的随机顺序更新进行比较。我们首先简要回顾所有提议的SM一维版本。接下来,我们将通过蒙特卡洛模拟获得的结果与Slanina和Lavicka获得的平均场结果进行比较。最后,我们研究了方格上的弛豫并比较了SM的两种概括,一种由Stauffer等人提出。另一个是盖拉姆。我们显示,尽管Galam规则内的驰豫速度比众所周知的Stauffer等人中的驰豫速度快,但这两种方法之间没有定性差异。规则。

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