Skip to main content

Randomly Coloring Regular Bipartite Graphs and Graphs with Bounded Common Neighbors

  • Conference paper
Algorithms and Computation (ISAAC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7676))

Included in the following conference series:

  • 1445 Accesses

Abstract

Let G be an n-node graph with maximum degree Δ. The Glauber dynamics for G, defined by Jerrum, is a Markov chain over the k-colorings of G. Many classes of G on which the Glauber dynamics mixes rapidly have been identified. Recent research efforts focus on the important case that Δ ≥ dlog2 n holds for some sufficiently large constant d. We add the following new results along this direction, where ε can be any constant with 0 < ε < 1.

  • Let α ≈ 1.645 be the root of (1 − e − 1/x)2 + 2x e − 1/x = 2. If G is regular and bipartite and k ≥ (α + ε)Δ, then the mixing time of the Glauber dynamics for G is O(nlogn).

  • Let β ≈ 1.763 be the root of x = e 1/x. If the number of common neighbors for any two adjacent nodes of G is at most \(\frac{\epsilon^{1.5}\Delta}{360e}\) and k ≥ (1 + ε)βΔ, then the mixing time of the Glauber dynamics is O(nlogn).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bubley, R., Dyer, M.: Path coupling: a technique for proving rapid mixing in Markov chains. In: Proceedings of the 38th Annual IEEE Symposium on Foundations of Computer Science, pp. 223–231 (1997)

    Google Scholar 

  2. Dyer, M., Frieze, A.: Randomly colouring graphs with lower bounds on girth and maximum degree. In: Proceedings of the 42nd IEEE Symposium on Foundations of Computer Science, pp. 579–587 (2001)

    Google Scholar 

  3. Dyer, M., Frieze, A., Hayes, T.P., Vigoda, E.: Randomly coloring constant degree graphs. In: Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science, pp. 582–589 (2004)

    Google Scholar 

  4. Dyer, M., Greenhill, C., Molloy, M.: Very rapid mixing of the Glauber dynamics for proper colorings on bounded-degree graphs. Random Structure and Algorithms 20(1), 98–114 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  5. Frieze, A., Vera, J.: On randomly colouring locally sparse graphs. Discrete Mathematics and Theoretical Computer Science 8(1), 121–128 (2006)

    MathSciNet  MATH  Google Scholar 

  6. Frieze, A., Vigoda, E.: A survey on the use of Markov chains to randomly sample colorings. In: Grimmett, G., McDiarmid, C. (eds.) Combinatorics, Complexity, and Chance — A Tribute to Dominic Welsh, ch. 4. Oxford University Press (2007)

    Google Scholar 

  7. Hayes, T., Vigoda, E.: A non-Markovian coupling for randomly sampling colorings. In: Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science, pp. 618–627 (2003)

    Google Scholar 

  8. Hayes, T.P.: Local uniformity properties for Glauber dynamics on graph colorings (in submission)

    Google Scholar 

  9. Hayes, T.P.: Randomly coloring graphs of girth at least five. In: Proceedings of the 35th Annual ACM Symposium on Theory of Computing, pp. 269–278 (2003)

    Google Scholar 

  10. Hayes, T.P., Sinclair, A.: A general lower bound for mixing of single site dynamics on graphs. In: Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science, pp. 511–520 (2005)

    Google Scholar 

  11. Hayes, T.P., Vera, J.C., Vigoda, E.: Randomly coloring planar graphs with fewer colors than the maximum degree. In: Proceedings of the 39th Annual ACM Symposium on Theory of Computing, pp. 450–458 (2007)

    Google Scholar 

  12. Hayes, T.P., Vigoda, E.: Variable length path coupling. In: Proceedings of the 15th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 103–110 (2004)

    Google Scholar 

  13. Hayes, T.P., Vigoda, E.: Coupling with stationary distribution and improved sampling for colorings and independent sets. In: Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 971–979 (2005)

    Google Scholar 

  14. Jerrum, M.: A very simple algorithm for estimating the number of k-colorings of a low-degree graph. Random Structure and Algorithms 7(2), 157–166 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  15. Jerrum, M., Sinclair, A.: The Markov chain Monte Carlo method: an approach to approximate counting and integration. In: Hochbaum, D.S. (ed.) Approximation Algorithms for NP-hard Problems, pp. 482–520. PWS Publishing Co. (1996)

    Google Scholar 

  16. Jerrum, M., Valiant, L., Vazirani, V.: Random generation of combinatorial structures from a uniform distribution. Theoretical Computer Science 43, 169–188 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  17. Jerrum, M.R.: Counting, Sampling and Integrating: Algorithms and Complexity. Birkhauser Verlag, Basel (2003)

    Book  MATH  Google Scholar 

  18. Kenyon, C., Mossel, E., Peres, Y.: Glauber dynamics on trees and hyperbolic graphs. In: Proceedings of the 42nd Annual IEEE Symposium on Foundations of Computer Science, pp. 568–578 (2001)

    Google Scholar 

  19. Lau, L.C., Molloy, M.: Randomly Colouring Graphs with Girth Five and Large Maximum Degree. In: Correa, J.R., Hevia, A., Kiwi, M. (eds.) LATIN 2006. LNCS, vol. 3887, pp. 665–676. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  20. Martinelli, F., Sinclair, A.: Mixing time for the solid-on-solid model. In: Proceedings of the 41st Annual ACM Symposium on Theory of Computing, pp. 571–580 (2009)

    Google Scholar 

  21. Sly, A.: Reconstruction for the Potts model. In: Proceedings of the 41st Annual ACM Symposium on Theory of Computing, pp. 581–590 (2009)

    Google Scholar 

  22. Vigoda, E.: Improved bounds for sampling colorings. Journal of Mathematical Physics 41(3), 1555–1569 (2000)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kuo, CC., Lu, HI. (2012). Randomly Coloring Regular Bipartite Graphs and Graphs with Bounded Common Neighbors. In: Chao, KM., Hsu, Ts., Lee, DT. (eds) Algorithms and Computation. ISAAC 2012. Lecture Notes in Computer Science, vol 7676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35261-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35261-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35260-7

  • Online ISBN: 978-3-642-35261-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics