3 research outputs found

    Generating subgraphs in chordal graphs

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    A graph GG is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function ww is defined on its vertices. Then GG is ww-well-covered if all maximal independent sets are of the same weight. For every graph GG, the set of weight functions ww such that GG is ww-well-covered is a vector space, denoted WCW(G)WCW(G). Let BB be a complete bipartite induced subgraph of GG on vertex sets of bipartition BXB_{X} and BYB_{Y}. Then BB is generating if there exists an independent set SS such that SβˆͺBXS \cup B_{X} and SβˆͺBYS \cup B_{Y} are both maximal independent sets of GG. In the restricted case that a generating subgraph BB is isomorphic to K1,1K_{1,1}, the unique edge in BB is called a relating edge. Generating subgraphs play an important role in finding WCW(G)WCW(G). Deciding whether an input graph GG is well-covered is co-NP-complete. Hence, finding WCW(G)WCW(G) is co-NP-hard. Deciding whether an edge is relating is NP-complete. Therefore, deciding whether a subgraph is generating is NP-complete as well. A graph is chordal if every induced cycle is a triangle. It is known that finding WCW(G)WCW(G) can be done polynomially in the restricted case that GG is chordal. Thus recognizing well-covered chordal graphs is a polynomial problem. We present a polynomial algorithm for recognizing relating edges and generating subgraphs in chordal graphs.Comment: 13 pages, 1 figure. arXiv admin note: text overlap with arXiv:1401.029

    Recognizing Generating Subgraphs in Graphs without Cycles of Lengths 6 and 7

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    Let BB be an induced complete bipartite subgraph of GG on vertex sets of bipartition BXB_{X} and BYB_{Y}. The subgraph BB is {\it generating} if there exists an independent set SS such that each of SβˆͺBXS \cup B_{X} and SβˆͺBYS \cup B_{Y} is a maximal independent set in the graph. If BB is generating, it \textit{produces} the restriction w(BX)=w(BY)w(B_{X})=w(B_{Y}). Let w:V(G)⟢Rw:V(G) \longrightarrow\mathbb{R} be a weight function. We say that GG is ww-well-covered if all maximal independent sets are of the same weight. The graph GG is ww-well-covered if and only if ww satisfies all restrictions produced by all generating subgraphs of GG. Therefore, generating subgraphs play an important role in characterizing weighted well-covered graphs. It is an \textbf{NP}-complete problem to decide whether a subgraph is generating, even when the subgraph is isomorphic to K1,1K_{1,1} \cite{bnz:related}. We present a polynomial algorithm for recognizing generating subgraphs for graphs without cycles of lengths 6 and 7.Comment: 13 pages, 3 figure

    Recognizing generating subgraphs revisited

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    A graph GG is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function ww is defined on its vertices. Then GG is ww-well-covered if all maximal independent sets are of the same weight. For every graph GG, the set of weight functions ww such that GG is ww-well-covered is a vector space, denoted as WCW(G).WCW(G). Deciding whether an input graph GG is well-covered is co-NP-complete. Therefore, finding WCW(G)WCW(G) is co-NP-hard. A generating subgraph of a graph GG is an induced complete bipartite subgraph BB of GG on vertex sets of bipartition BXB_{X} and BYB_{Y}, such that each of SβˆͺBXS \cup B_{X} and SβˆͺBYS \cup B_{Y} is a maximal independent set of GG, for some independent set SS. If BB is generating, then w(BX)=w(BY)w(B_{X})=w(B_{Y}) for every weight function w∈WCW(G)w \in WCW(G). Therefore, generating subgraphs play an important role in finding WCW(G)WCW(G). The decision problem whether a subgraph of an input graph is generating is known to be NP-complete. In this article, we prove NP-completeness of the problem for graphs without cycles of length 3 and 5, and for bipartite graphs with girth at least 6. On the other and, we supply polynomial algorithms for recognizing generating subgraphs and finding WCW(G)WCW(G), when the input graph is bipartite without cycles of length 6. We also present a polynomial algorithm which finds WCW(G)WCW(G) when GG does not contain cycles of lengths 3, 4, 5, and 7.Comment: 22 pages, 2 figures. arXiv admin note: text overlap with arXiv:1401.029
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