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Online Coloring of Bipartite Graphs with and without Advice

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Computing and Combinatorics (COCOON 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7434))

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Abstract

In the online version of the well-known graph coloring problem, the vertices appear one after the other together with the edges to the already known vertices and have to be irrevocably colored immediately after their appearance. We consider this problem on bipartite, i.e., two-colorable graphs. We prove that 1.13747·log2 n colors are necessary for any deterministic online algorithm to color any bipartite graph on n vertices, thus improving on the previously known lower bound of log2 n + 1 for sufficiently large n.

Recently, the advice complexity was introduced as a method for a fine-grained analysis of the hardness of online problems. We apply this method to the online coloring problem and prove (almost) tight linear upper and lower bounds on the advice complexity of coloring a bipartite graph online optimally or using 3 colors. Moreover, we prove that \(O(\sqrt{n})\) advice bits are sufficient for coloring any graph on n vertices with at most ⌈log2 n⌉ colors.

The research is partially funded by the SNF grant 200021–141089.

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References

  1. Bean, D.R.: Effective Coloration. J. Symbolic Logic 41(2), 469–480 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  2. Böckenhauer, H.-J., Komm, D., Královič, R., Rossmanith, P.: On the Advice Complexity of the Knapsack Problem. In: Fernández-Baca, D. (ed.) LATIN 2012. LNCS, vol. 7256, pp. 61–72. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Böckenhauer, H.-J., Komm, D., Královič, R., Královič, R., Mömke, T.: On the Advice Complexity of Online Problems. In: Dong, Y., Du, D.-Z., Ibarra, O. (eds.) ISAAC 2009. LNCS, vol. 5878, pp. 331–340. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  4. Borodin, A., El-Yaniv, R.: Online Computation and Competitive Analysis. Cambridge University Press (1998)

    Google Scholar 

  5. Dobrev, S., Královič, R., Pardubská, D.: How Much Information about the Future Is Needed? In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds.) SOFSEM 2008. LNCS, vol. 4910, pp. 247–258. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Emek, Y., Fraigniaud, P., Korman, A., Rosén, A.: Online Computation with Advice. In: Albers, S., Marchetti-Spaccamela, A., Matias, Y., Nikoletseas, S., Thomas, W. (eds.) ICALP 2009. LNCS, vol. 5555, pp. 427–438. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Finch, S.R.: Mathematical Constants (Encyclopedia of Mathematics and its Applications). Cambridge University Press, New York (2003)

    Google Scholar 

  8. Forišek, M., Keller, L., Steinová, M.: Advice Complexity of Online Coloring for Paths. In: Dediu, A.-H., Martín-Vide, C. (eds.) LATA 2012. LNCS, vol. 7183, pp. 228–239. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  9. Gyárfás, A., Lehel, J.: On-line and first fit colorings of graphs. Journal of Graph Theory 12(2), 217–227 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  10. Hromkovič, J., Královič, R., Královič, R.: Information Complexity of Online Problems. In: Hliněný, P., Kučera, A. (eds.) MFCS 2010. LNCS, vol. 6281, pp. 24–36. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  11. Kierstead, H.A.: Recursive and on-line graph coloring. In: Ershov, Y.L., Goncharov, S.S., Nerode, A., Remmel, J.B., Marek, V.W., (eds.) Handbook of Recursive Mathematics Volume 2: Recursive Algebra, Analysis and Combinatorics. Studies in Logic and the Foundations of Mathematics, vol. 139, pp. 1233–1269. Elsevier (1998)

    Google Scholar 

  12. Kierstead, H.A., Trotter, W.T.: On-line graph coloring. In: McGeoch, L.A., Sleator, D.D. (eds.) On-line Algorithms. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 7, pp. 85–92. AMS|DIMACS|ACM (1992)

    Google Scholar 

  13. Lovász, L., Saks, M.E., Trotter, W.T.: An on-line graph coloring algorithm with sublinear performance ratio. Discrete Mathematics 75(1–3), 319–325 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  14. Sloane, N.J.A.: Sequence A000073 in The On-Line Encyclopedia of Integer Sequences (2012), Published electronically, http://oeis.org/A000073

  15. Vishwanathan, S.: Randomized online graph coloring. Journal of Algorithms 13(4), 657–669 (1992)

    Article  MathSciNet  MATH  Google Scholar 

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Bianchi, M.P., Böckenhauer, HJ., Hromkovič, J., Keller, L. (2012). Online Coloring of Bipartite Graphs with and without Advice. In: Gudmundsson, J., Mestre, J., Viglas, T. (eds) Computing and Combinatorics. COCOON 2012. Lecture Notes in Computer Science, vol 7434. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32241-9_44

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  • DOI: https://doi.org/10.1007/978-3-642-32241-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32240-2

  • Online ISBN: 978-3-642-32241-9

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