English

Recognizing generating subgraphs revisited

Discrete Mathematics 2018-11-13 v1 Combinatorics

Abstract

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 SBXS \cup B_{X} and SBYS \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 wWCW(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.

Keywords

Cite

@article{arxiv.1811.04433,
  title  = {Recognizing generating subgraphs revisited},
  author = {Vadim E. Levit and David Tankus},
  journal= {arXiv preprint arXiv:1811.04433},
  year   = {2018}
}

Comments

22 pages, 2 figures. arXiv admin note: text overlap with arXiv:1401.0294