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In the mathematical field of graph theory, the bipartite dimension of a graph G = (V, E) is the minimum number of bicliques, that is, complete bipartite subgraphs, needed to cover all edges in E. A collection of bicliques covering all edges in G is called a biclique edge cover, or sometimes biclique cover. The bipartite dimension of G is often denoted by the symbol d(G). An example for a biclique edge cover is given in the following diagrams:
[edit] Bipartite dimension of some special graphsThe bipartite dimension of a 2n-vertex crown graph equals σ(n), where is the inverse function of the central binomial coefficient (DeCaen et al. 1981). Fishburn and Hammer determine the bipartite dimension for some special graphs. For example, the path Pn has [edit] Computational complexityDetermining d(G) is an optimization problem. The decision problem for bipartite dimension can be phrased as:
This problem is NP-complete, even for bipartite graphs, as proved by Orlin. It appears as problem GT18 in Garey and Johnson's classical book on NP-completeness. This decision problem is a rather straightforward reformulation of another decision problem on families of finite sets, the set basis problem, proved to be NP-complete earlier by Stockmeyer, and appearing as problem SP7 in Garey and Johnson's book. Here, for a family
[edit] EstimatesAlthough determining the bipartite dimension is computationally hard, quite a few estimates are available. For instance, Jukna and Kulikov recently established a relation between the size of a maximum matching and the bipartite dimension (Jukna and Kulikov, 2009). More precisely, they showed that for a graph G with m edges that admits a matching of size [edit] References
[edit] See also[edit] External links |
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