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Double domination in maximal outerplanar graphs

Authors: Zhuang Wei; Zheng Qiuju;

Double domination in maximal outerplanar graphs

Abstract

Abstract In graph G G , a vertex dominates itself and its neighbors. A subset S ⊆ V ( G ) S\subseteq V\left(G) is said to be a double-dominating set of G G if S S dominates every vertex of G G at least twice. The double domination number γ × 2 ( G ) {\gamma }_{\times 2}\left(G) is the minimum cardinality of a double dominating set of G G . We show that if G G is a maximal outerplanar graph on n ≥ 3 n\ge 3 vertices, then γ × 2 ( G ) ≤ 2 n 3 {\gamma }_{\times 2}\left(G)\le ⌊\frac{2n}{3}⌋ . Further, if n ≥ 4 n\ge 4 , then γ × 2 ( G ) ≤ min n + t 2 , n − t {\gamma }_{\times 2}\left(G)\le \min \left\{⌊\frac{n+t}{2}⌋,n-t\right\} , where t t is the number of vertices of degree 2 in G G . These bounds are shown to be tight. In addition, we also study the case that G G is a striped maximal outerplanar graph.

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Keywords

Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), maximal outerplanar graph, 05c69, QA1-939, double domination, Mathematics, striped maximal outerplanar graph

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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