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On the Arrangement of Cliques in Chordal Graphs with Respect to the Cuts

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Book cover Computing and Combinatorics (COCOON 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3106))

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Abstract

A cut (A,B) (where B = VA) in a graph G(V,E) is called internal, iff there exists a node x in A which is not adjacent to any node in B and there exists a node yB such that it is not adjacent to any node in A. In this paper, we present a theorem regarding the arrangement of cliques in a chordal graph with respect to its internal cuts. Our main result is that given any internal cut (A,B) in a chordal graph G, there exists a clique with κ(G) + 1 nodes (where κ(G) is the vertex connectivity of G) such that it is (approximately) bisected by the cut (A,B). In fact we give a stronger result: For any internal cut (A,B) of a chordal graph, for each i, 0 ≤ iκ(G) +1, there exists a clique K i such that |K i | = κ(G) + 1, |AK i | = i and |BK i | = κ(G) + 1 – i.

An immediate corollary of the above result is that the number of edges in any internal cut (of a chordal graph) should be Ω (k 2), where κ(G) = k. Prompted by this observation, we investigate the size of internal cuts in terms of the vertex connectivity of the chordal graphs. As a corollary, we show that in chordal graphs, if the edge connectivity is strictly less than the minimum degree, then the size of the mincut is at least \( \frac{\kappa(G)(\kappa (G)+1)}{2}\), where κ(G) denotes the vertex connectivity. In contrast, in a general graph the size of the mincut can be equal to κ(G). This result is tight.

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References

  1. Buneman, P.: A characterisation of rigid circuit graphs. Discrete Mathematics 9, 205–212 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  2. Chandran, L.S.: Edge connectivity vs vertex connectivity in chordal graphs. In: Wang, J. (ed.) COCOON 2001. LNCS, vol. 2108, p. 384. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  3. Sunil Chandran, L.: A linear time algorithm for enumerating all the minimum and minimal separators of a chordal graph. In: Wang, J. (ed.) COCOON 2001. LNCS, vol. 2108, pp. 308–317. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  4. Chandran, L.S., Kavitha, T., Subramanian, C.R.: Isoperimetric inequalities and the width parameters of graphs. In: Warnow, T.J., Zhu, B. (eds.) COCOON 2003. LNCS, vol. 2697, pp. 385–395. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Chandrasekaran, R., Tamir, A.: Polynomially bounded algorithms for locating p-centres on a tree. Math. Programming 22, 304–315 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  6. Chartrand, G., Harary, F.: Graphs with prescribed connectivities. In: Erdos, P., Katona, G. (eds.) Theory of Graphs, pp. 61–63. Akademiai Kiado, Budapest (1968)

    Google Scholar 

  7. Golumbic, M.C.: Algorithmic Graph Theory And Perfect Graphs. Academic Press, New York (1980)

    MATH  Google Scholar 

  8. Harary, F.: Graph Theory. Addison-Wesley, Reading (1969)

    Google Scholar 

  9. Kloks, T.: Treewidth. LNCS, vol. 842. Springer, Heidelberg (1994)

    MATH  Google Scholar 

  10. Mohring, R.H.: Graph Problems Related To Gate Matrix Layout And PLA Folding. In: Computational Graph Theory, pp. 17–52. Springer, Wein (1990)

    Google Scholar 

  11. Papadimitriou, C., Yannakakis, M.: Scheduling interval ordered tasks. SIAM Journal of Computing 8, 405–409 (1979)

    Article  MATH  MathSciNet  Google Scholar 

  12. Rose, D.: Triangulated graphs and the elimination process. J. Math. Ana. Appl. 32, 597–609 (1970)

    Article  MATH  Google Scholar 

  13. Rose, D.: A graph theoretic study of the numerical solution of sparse positive definite systems of linear equations. In: Graph Theory and Computing, pp. 183–217. Academic Press, London (1972)

    Google Scholar 

  14. Whitney, H.: Congruent graphs and the connectivity of graphs. American J.Math 54, 150–168 (1932)

    Article  MathSciNet  Google Scholar 

  15. Yannakakis, M.: Computing the minimum Fill–in is NP–complete. SIAM J. on Alge. Discre. Math. 2, 77–79 (1981)

    Article  MATH  MathSciNet  Google Scholar 

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Chandran, L.S., Narayanaswamy, N.S. (2004). On the Arrangement of Cliques in Chordal Graphs with Respect to the Cuts. In: Chwa, KY., Munro, J.I.J. (eds) Computing and Combinatorics. COCOON 2004. Lecture Notes in Computer Science, vol 3106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27798-9_18

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  • DOI: https://doi.org/10.1007/978-3-540-27798-9_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22856-1

  • Online ISBN: 978-3-540-27798-9

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