arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2509.03464math.CO
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$\mathbb{Z}^n$中警察获胜集的分类

A Classification of Winning Sets of Cops in $\mathbb{Z}^n$

Kenzie Fontenot, Iris Nguyen, Cody Olsen

AI总结:

本研究聚焦$\mathbb{Z}^n$格图上的警察与小偷无限博弈,引入坐标匹配策略,提出警察密度概念,证明零密度配置可捕获小偷,并给出$\mathbb{Z}^n$中警察获胜集的完整充要分类。

摘要:

警察与小偷博弈是图上的一类追逃博弈,已在有限场景下得到广泛研究,尤其是通过警察数概念展开的研究。本文探讨该博弈的无限变体,聚焦于格图$\mathbb{Z}^n$。由于$\mathbb{Z}^n$的警察数为无穷大,我们将研究重点转向“警察密度”概念,考察在保证可捕获小偷的前提下,警察的布置可以有多稀疏。我们引入“坐标匹配”框架作为核心策略,证明存在密度为零的警察配置,可确保最终捕获小偷。在此基础上,我们给出$\mathbb{Z}^n$中警察获胜集的完整分类,基于警察在各坐标方向上的无限分布,给出捕获小偷的充要条件。最后,我们提出了进一步的研究方向,包括小偷对警察布置施加空间限制的博弈变体。

英文摘要:

The game of Cops and Robbers is a pursuit-evasion game on graphs that has been extensively studied in finite settings, particularly through the concept of cop number. In this paper, we explore infinite variants of the game, focusing on the lattice graph $\mathbb{Z}^n$. Since the cop number of $\mathbb{Z}^n$ is infinite, we shift attention to the notion of \emph{cop density}, examining how sparsely cops may be placed while still guaranteeing capture. We introduce the framework of \emph{coordinate matching} as a central strategy and prove the existence of density-zero configurations of cops that ensure eventual capture of the robber. Building on this, we provide a complete classification of winning cop sets in $\mathbb{Z}^n$, showing necessary and sufficient conditions for capture based on infinite distributions of cops across coordinate directions. We conclude with directions for further study, including variations of the game where the robber imposes spatial restrictions on cop placement.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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