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On the Complexity of Limit Sets of Cellular Automata Associated with Probability Measures

机译:论概率措施相关的蜂窝自动机限制集的复杂性

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We study the notion of limit sets of cellular automata associated with probability measures (μ-limit sets). This notion was introduced by P. Kurka and A. Maass in [1]. It is a refinement of the classical notion of ω-limit sets dealing with the typical long term behavior of cellular automata. It focuses on the words whose probability of appearance does not tend to 0 as time tends to infinity (the persistent words). In this paper, we give a characterization of the persistent language for non sensitive cellular automata associated with Bernoulli measures. We also study the computational complexity of these languages. We show that the persistent language can be non-recursive. But our main result is that the set of quasi-nilpotent cellular automata (those with a single configuration in their μ-limit set) is neither recursively enumerable nor co-recursively enumerable.
机译:我们研究了与概率测量相关的蜂窝自动机的限制集的概念(μ限位集)。本概念由[1]中的P. Kurka和A. Maass引入。它是对ω-limit集合的经典概念,处理蜂窝自动机的典型长期行为。随着时间的时间倾向于无限(持久的话),它专注于其外观概率不会趋于0的词语。在本文中,我们展示了与Bernoulli测量相关的非敏感蜂窝自动机的持久性语言。我们还研究了这些语言的计算复杂性。我们表明持久性语言可能是非递归的。但我们的主要结果是,这组准尼能蜂窝自动机(在μ极限集中具有单个配置的那些)既不递归才能才能才能识别也不能共递归地枚举。

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