Locating-dominating sets: from graphs to oriented graphs

preprint2022arXivOpen access

Abstract

A locating-dominating set in an undirected graph is a subset of vertices SS such that SS is dominating and for every u,v∉Su,v \notin S, we have N(u)∩S≠N(v)∩SN(u)\cap S\ne N(v)\cap S. In this paper, we consider the oriented version of the problem. A locating-dominating set in an oriented graph is a set SS such that for every w∈Vw\in V, N[w]−∩S=∅N[w]^-\cap S=\emptyset and for each pair of vertices u,v∈V∖Su,v\in V\setminus S, N−(u)∩S≠N−(v)∩SN^-(u)\cap S\ne N^-(v)\cap S. We consider the following two parameters. Given an undirected graph GG, we look for γ→LD(G)\overset{\rightarrow}γ_{LD}(G) (Γ→LD(G))\overset{\rightarrow}Γ_{LD}(G)) which is the size of the smallest (largest) optimal locating-dominating set over all orientations of GG. In particular, if DD is an orientation of GG, then γ→LD(G)≤γLD(D)≤Γ→LD(G)\overset{\rightarrow}γ_{LD}(G)\leqγ_{LD}(D)\leq\overset{\rightarrow}Γ_{LD}(G). For the best orientation, we prove that, for every twin-free graph GG on nn vertices, γ→LD(G)≤n/2\overset{\rightarrow}γ_{LD}(G)\le n/2 proving a ``directed version'' of a conjecture on γLD(G)γ_{LD}(G). Moreover, we give some bounds for γ→LD(G)\overset{\rightarrow}γ_{LD}(G) on many graph classes and drastically improve the value n/2n/2 for (almost) dd-regular graphs by showing that γ→LD(G)∈O(log⁡d/d⋅n)\overset{\rightarrow}γ_{LD}(G)\in O(\log d/d\cdot n) using a probabilistic argument. While γ→LD(G)≤γLD(G)\overset{\rightarrow}γ_{LD}(G)\leqγ_{LD}(G) holds for every graph GG, we give some graph classes graphs for which Γ→LD(G)≥γLD(G)\overset{\rightarrow}Γ_{LD}(G)\geqγ_{LD}(G) and some for which Γ→LD(G)≤γLD(G)\overset{\rightarrow}Γ_{LD}(G)\leq γ_{LD}(G). We also give general bounds for Γ→LD(G)\overset{\rightarrow}Γ_{LD}(G). Finally, we show that for many graph classes Γ→LD(G)\overset{\rightarrow}Γ_{LD}(G) is polynomial on nn but we leave open the question whether there exist graphs with Γ→LD(G)∈O(log⁡n)\overset{\rightarrow}Γ_{LD}(G)\in O(\log n).

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