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Robustness of the Critical Behaviour in the Stochastic Greenberg-Hastings Cellular Automaton Model

机译:随机Greenberg-Hastings元胞自动机模型中临界行为的鲁棒性

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We study a stochastic version of the Greenberg-Hastings cellular automaton, a simple model of wave propagation in reaction-diffusion media. Despite its apparent simplicity, its global dynamics displays various complex behaviours. Here, we investigate the influence of temporary or definitive failures of the cells of the grid. We show that a continuous decrease of the probability of excitation of cells triggers a drastic change of behaviour, driving the system from an "active" to an "extinct" steady state. Simulations show that this phenomenon is a nonequilibrium phase transition that belongs to directed percolation universality class. Observations show an amazing robustness of the critical behaviour with regard to topological perturbations: not only is the phase transition occurrence preserved, but its universality class remains directed percolation. We also demonstrate that the position of the critical threshold can be easily predicted as it decreases linearly with the inverse of the average number of neighbours per cell.
机译:我们研究了Greenberg-Hastings细胞自动机的随机版本,这是一种在反应扩散介质中传播的简单模型。尽管它看起来很简单,但是它的全球动态却显示出各种复杂的行为。在这里,我们调查网格单元的临时或确定性故障的影响。我们表明,细胞激发概率的不断降低会触发行为的急剧变化,从而将系统从“活动”状态驱动到“绝灭”状态。仿真表明,该现象是一种非平衡相变,属于有向渗流普遍性类别。观察结果表明,对于拓扑扰动,临界行为具有惊人的鲁棒性:不仅保留了相变事件的发生,而且其通用性类别仍然是定向渗流。我们还证明了临界阈值的位置很容易预测,因为它随每个单元的平均邻居数的倒数线性减小。

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