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A note on Roman domination in graphs

Authors: Hua-ming Xing; Xin Chen; Xue-Gang Chen;

A note on Roman domination in graphs

Abstract

The main result of the paper is the solution of the problem about a characterization of simple graphs for which \(\gamma_{R}(G) = \gamma(G) + k\) [\textit{E. J. Cockayne} et al., Discrete Math. 278, 11--22 (2004; Zbl 1036.05034)]. Let \(G\) be a connected graph of order \(n\) with the domination number \(\gamma(G) \geq 2.\) The authors of the paper under review give necessary and sufficient conditions for the equality \(\gamma_{R}(G) = \gamma(G) + k\). Here \(\gamma_{R}(G)\) is the Roman domination number of \(G\) and \(k\) is an integer such that \( 2 \leq k \leq \gamma(G).\) A Roman dominating function on a graph \(G = (V,E)\) is a function \(f : V \rightarrow \{0, 1, 2\} \) satisfying the condition that every vertex \(u\) for which \(f(u) = 0\) is adjacent to at least one vertex \(v\) for which \(f(v) = 2.\) The idea is that numbers \(1\) and \(2\) represent either one or two Roman legions stationed at a given location (vertex \(v\)). The weight of a Roman dominating function is the sum of the values \(f(v)\) where \(v\) runs over all \(V.\) The minimum weight of a Roman dominating function on a graph \(G\) is called the Roman domination number of \(G.\) The definition of a Roman dominating function is given implicitly in [\textit{J. Arquilla} and \textit{H. Fredricksen}, Military Operations Research 1 , 3--17 (1995)].

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Keywords

Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Roman domination, domination number, Discrete Mathematics and Combinatorics, Domination number, Domination, Theoretical Computer Science

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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!
18
Top 10%
Top 10%
Average
hybrid