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      Complexity results for generating subgraphs

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          Abstract

          A graph G is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function w is defined on its vertices. Then G is w-well-covered if all maximal independent sets are of the same weight. For every graph G, the set of weight functions w such that G is w-well-covered is a vector space, denoted WCW(G). Let B be a complete bipartite induced subgraph of G on vertex sets of bipartition B_X and B_Y. Then B is generating if there exists an independent set S such that S \cup B_X and S \cup B_Y are both maximal independent sets of G. A relating edge is a generating subgraph in the restricted case that B = K_{1,1}. Deciding whether an input graph G is well-covered is co-NP-complete. Therefore finding WCW(G) is co-NP-hard. Deciding whether an edge is relating is co-NP-complete. Therefore, deciding whether a subgraph is generating is co-NP-complete as well. In this article we discuss the connections among these problems, provide proofs for NP-completeness for several restricted cases, and present polynomial characterizations for some other cases.

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          Most cited references15

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          Some covering concepts in graphs

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            A Characterization of Well Covered Graphs of Girth 5 or Greater

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              Well covered simplicial, chordal, and circular arc graphs

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                Author and article information

                Journal
                2014-01-01
                2016-11-20
                Article
                1401.0294
                01fe6e5d-cb1d-4bd8-904c-df305e0b4955

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                05C69 (Primary) 05C85 (Secondary)
                18 pages, 3 figures, 1 table. arXiv admin note: text overlap with arXiv:1312.7563
                cs.DM math.CO

                Combinatorics,Discrete mathematics & Graph theory
                Combinatorics, Discrete mathematics & Graph theory

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