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In the mathematical field of graph theory, the bipartite dimension of a graph G = (VE) 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:

Contents

[edit] Bipartite dimension of some special graphs

The bipartite dimension of a 2n-vertex crown graph equals σ(n), where

\sigma(n)=\min \left\{\,k \mid n \le \binom{k}{\lfloor k/2 \rfloor} \,\right\}

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 d(P_n) = \lfloor n/2 \rfloor, the cycle Cn has d(C_n)=\lceil n/2\rceil, and the complete graph Kn has d(K_n) = \lceil\log n \rceil.

[edit] Computational complexity

Determining d(G) is an optimization problem. The decision problem for bipartite dimension can be phrased as:

INSTANCE: A graph G = (V,E) and a positive integer k.
QUESTION: Does G admit a biclique edge cover containing at most k bicliques?

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 \mathcal{S}=\{S_1,\ldots,S_n\} of subsets of a finite set \mathcal{U}, a set basis for \mathcal{S} is another family of subsets \mathcal{B} = \{B_1,\ldots,B_\ell\} of \mathcal{U}, such that every set Si can be described as the union of some basis elements from \mathcal{B}. The set basis problem is now given as follows:

INSTANCE: A finite set \mathcal{U}, a family \mathcal{S}=\{S_1,\ldots,S_n\} of subsets of \mathcal{U}, and a positive integer k.
QUESTION: Does there exist a set basis of size at most k for \mathcal{S}?

[edit] Estimates

Although 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 \scriptstyle \nu the following holds:

d(G)\ge \frac{\nu^2}{m}.

[edit] References

  • de Caen, Dominique; Gregory, David A.; Pullman, Norman J. (1981), "The Boolean rank of zero-one matrices", in Cadogan, Charles C., 3rd Caribbean Conference on Combinatorics and Computing, Department of Mathematics, University of the West Indies, pp. 169–173, MR0657202 .
  • Jukna, Stasys; Kulikov, A. S. (2009), "On covering graphs with complete bipartite subgraphs", Discrete Mathematics 309: 3399–3403 .
  • Monson, Sylvia D.; Pullman, Norman J.; Rees, Rolf (1995), "A survey of clique and biclique coverings and factorizations of (0,1)-matrices", Bulletin of the ICA 14: 17–86, MR1330781 .
  • Stockmeyer, Larry J. (1975), The set basis problem is NP-complete, Technical Report RC-5431, IBM .

[edit] See also

List of NP-complete problems

[edit] External links




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