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Cop numbers of periodic graphs
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abstract
A \emph{periodic graph} ${\cal G}=(G_0, G_1, G_2, \dots)$ with period $p$ is an infinite periodic sequence of graphs $G_i = G_{i + p} = (V,E_i)$, where $i \geq 0$. The graph $G=(V,\cup_i E_i)$ is called the footprint of ${\cal G}$. Recently, the arena where the Cops and Robber game is played has been extended from a graph to a periodic graph; in this case, the \emph{cop number} is also the minimum number of cops sufficient for capturing the robber. We study the connections and distinctions between the cop number $c({\cal G})$ of a periodic graph ${\cal G}$ and the cop number $c(G)$ of its footprint $G$ and establish several facts. For instance, we show that the smallest periodic graph with $c({\cal G}) = 3$ has at most $8$ nodes; in contrast, the smallest graph $G$ with $c(G) = 3$ has $10$ nodes. We push this investigation by generating multiple examples showing how the cop numbers of a periodic graph ${\cal G}$, the subgraphs $G_i$ and its footprint $G$ can be loosely tied. Based on these results, we derive upper bounds on the cop number of a periodic graph from properties of its footprint such as its treewidth.
Forward citations
Cited by 2 Pith papers
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Temporal Graph Realization With Bounded Stretch
The paper defines Stretched Temporal Graph Realization (STGR), proves it is NP-hard to approximate within sublinear factors in the period, and provides approximation, fixed-parameter, and local-search algorithms.
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Exploring Temporal Graphs with Frequent and Regular Edges
A temporal graph in which every edge appears at least once every F timesteps can be explored in F(2n-3) steps, and this is tight up to an additive constant.
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