Algorithmic study on liar’s vertex-edge domination problem

Let G = ( V , E ) be a graph. For an edge e = x y ∈ E , the closed neighbourhood of e , denoted by N G [ e ] or N G [ x y ] , is the set N G [ x ] ∪ N G [ y ] . A vertex set L ⊆ V is liar’s vertex-edge dominating set of a graph G = ( V , E ) if for every e i ∈ E , | N G [ e i ] ∩ L | ≥ 2 and for eve...

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Published inJournal of combinatorial optimization Vol. 48; no. 3; p. 25
Main Authors Bhattacharya, Debojyoti, Paul, Subhabrata
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2024
Springer Nature B.V
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ISSN1382-6905
1573-2886
DOI10.1007/s10878-024-01208-9

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Summary:Let G = ( V , E ) be a graph. For an edge e = x y ∈ E , the closed neighbourhood of e , denoted by N G [ e ] or N G [ x y ] , is the set N G [ x ] ∪ N G [ y ] . A vertex set L ⊆ V is liar’s vertex-edge dominating set of a graph G = ( V , E ) if for every e i ∈ E , | N G [ e i ] ∩ L | ≥ 2 and for every pair of distinct edges e i and e j , | ( N G [ e i ] ∪ N G [ e j ] ) ∩ L | ≥ 3 . This paper introduces the notion of liar’s vertex-edge domination which arises naturally from some applications in communication networks. Given a graph G , the Minimum Liar’s Vertex-Edge Domination Problem ( MinLVEDP ) asks to find a liar’s vertex-edge dominating set of G of minimum cardinality. In this paper, we study this problem from an algorithmic point of view. We show that MinLVEDP can be solved in linear time for trees, whereas the decision version of this problem is NP-complete for general graphs, chordal graphs, and bipartite graphs. We further study approximation algorithms for this problem. We propose two approximation algorithms for MinLVEDP in general graphs and p -claw free graphs. On the negative side, we show that the MinLVEDP cannot be approximated within 1 2 ( 1 8 - ϵ ) ln | V | for any ϵ > 0 , unless N P ⊆ D T I M E ( | V | O ( log ( log | V | ) ) . Finally, we prove that the MinLVEDP is APX-complete for bounded degree graphs and p -claw-free graphs for p ≥ 6 .
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ISSN:1382-6905
1573-2886
DOI:10.1007/s10878-024-01208-9