Generalized ARRIVAL Problem for Rotor Walks in Path Multigraphs

David Auger, Pierre Coucheney, Loric Duhazé, Kossi Roland Etse
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Abstract

Rotor walks are cellular automata that determine deterministic traversals of particles in a directed multigraph using simple local rules, yet they can generate complex behaviors. Furthermore, these trajectories exhibit statistical properties similar to random walks. In this study, we investigate a generalized version of the reachability problem known as ARRIVAL in Path Multigraphs, which involves predicting the number of particles that will reach designated target vertices. We show that this problem is in NP and co-NP in the general case. However, we exhibit algebraic invariants for Path Multigraphs that allow us to solve the problem efficiently, even for an exponential configuration of particles. These invariants are based on harmonic functions and are connected to the decomposition of integers in rational bases.
路径多图中转子行走的广义到达问题
转子行走是细胞自动机,它使用简单的局部规则确定有向多图中粒子的确定性遍历,但它们会产生复杂的行为。此外,这些轨迹表现出与随机漫步相似的统计特性。在这项研究中,我们研究了被称为路径多图到达的可达性问题的一个广义版本,它涉及到预测到达指定目标顶点的粒子的数量。我们证明了这个问题在一般情况下是NP和协NP的。然而,我们展示了路径多重图的代数不变量,使我们能够有效地解决问题,甚至对于粒子的指数配置。这些变不变量是基于调和函数的,并且与有理数基中的整数分解有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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