Abstract
In the eternal domination game played on graphs, an attacker attacks a vertex at each turn and a team of guards must move a guard to the attacked vertex to defend it. The guards may only move to adjacent vertices on their turn. The goal is to determine the eternal domination number \(\gamma ^{\infty }_{all}\) of a graph which is the minimum number of guards required to defend against an infinite sequence of attacks.
This paper continues the study of the eternal domination game on strong grids \(P_n\boxtimes P_m\). Cartesian grids \(P_n \,\square \, P_m\) have been vastly studied with tight bounds existing for small grids such as \(k\times n\) grids for \(k\in \{2,3,4,5\}\). It was recently proven that \(\gamma ^{\infty }_{all}(P_n \,\square \, P_m)=\gamma (P_n \,\square \, P_m)+O(n+m)\) where \(\gamma (P_n \,\square \, P_m)\) is the domination number of \(P_n \,\square \, P_m\) which lower bounds the eternal domination number [Lamprou et al. CIAC 2017]. We prove that, for all \(n,m\in \mathbb {N^*}\) such that \(m\ge n\), \(\lfloor \frac{n}{3}\rfloor \lfloor \frac{m}{3}\rfloor +{\varOmega }(n+m)=\gamma _{all}^{\infty } (P_{n}\boxtimes P_{m})=\lceil \frac{n}{3}\rceil \lceil \frac{m}{3}\rceil + O(m\sqrt{n})\) (note that \(\lceil \frac{n}{3}\rceil \lceil \frac{m}{3}\rceil \) is the domination number of \(P_n\boxtimes P_m\)). Our technique may be applied to other “grid-like” graphs.
This work has been partially supported by ANR program “Investments for the Future” under reference ANR-11-LABX-0031-01, the Inria Associated Team AlDyNet. Due to a lack of space, several proofs have been omitted and can be found in [14].
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Notes
- 1.
\(D \subseteq V\) is a dominating set of G if every vertex is in D or adjacent to a vertex in D.
- 2.
\(\alpha (G)\) is the maximum size of an independent set in G.
- 3.
\(\theta (G)\) is the minimum number of complete subgraphs of G whose union covers V(G).
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Mc Inerney, F., Nisse, N., Pérennes, S. (2019). Eternal Domination in Grids. In: Heggernes, P. (eds) Algorithms and Complexity. CIAC 2019. Lecture Notes in Computer Science(), vol 11485. Springer, Cham. https://doi.org/10.1007/978-3-030-17402-6_26
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