Skip to main content

Path Coupling Using Stopping Times

  • Conference paper
Fundamentals of Computation Theory (FCT 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3623))

Included in the following conference series:

Abstract

We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this approach to two hypergraph problems. We show that the Glauber dynamics for independent sets in a hypergraph mixes rapidly as long as the maximum degree Δ of a vertex and the minimum size m of an edge satisfy m ≥ 2Δ +1. We also state results that the Glauber dynamics for proper q-colourings of a hypergraph mixes rapidly if m ≥ 4 and q > Δ, and if m = 3 and q ≥1.65Δ. We give related results on the hardness of exact and approximate counting for both problems.

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. Bordewich, M., Dyer, M., Karpinski, M.: Path coupling using stopping times and counting independent sets and colourings in hypergraphs (2005), http://arxiv.org/abs/math.PR/0501081

  2. Berman, P., Karpinski, M.: Improved approximation lower bounds on small occurrence optimization. Electronic Colloquium on Computational Complexity 10 (2003), Technical Report TR03-008

    Google Scholar 

  3. Bubley, R.: Randomized algorithms: approximation, generation and counting. Springer, London (2001)

    MATH  Google Scholar 

  4. Bubley, R., Dyer, M.: Graph orientations with no sink and an approximation for a hard case of #SAT. In: Proc. 8th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 1997), pp. 248–257. SIAM, Philadelphia (1997)

    Google Scholar 

  5. Dinur, I., Guruswami, V., Khot, S., Regev, O.: A new multilayered PCP and the hardness of hypergraph vertex cover. In: Proc. 35th ACM Symposium on Theory of Computing (STOC 2003), pp. 595–601. ACM, New York (2003)

    Google Scholar 

  6. Dinur, I., Regev, O., Smyth, C.: The hardness of 3-uniform hypergraph coloring. In: Proc. 43rd Symposium on Foundations of Computer Science (FOCS 2002), pp. 33–42. IEEE, Los Alamitos (2002)

    Chapter  Google Scholar 

  7. Dyer, M., Frieze, A., Hayes, T., Vigoda, E.: Randomly coloring constant degree graphs. In: Proc. 45th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2004), pp. 582–589. IEEE, Los Alamitos (2004)

    Google Scholar 

  8. Dyer, M., Frieze, A., Jerrum, M.: On counting independent sets in sparse graphs. SIAM Journal on Computing 31, 1527–1541 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Dyer, M., Goldberg, L., Greenhill, C., Jerrum, M., Mitzenmacher, M.: An extension of path coupling and its application to the Glauber dynamics for graph colorings. SIAM Journal on Computing 30, 1962–1975 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  10. Dyer, M., Greenhill, C.: On Markov chains for independent sets. Journal of Algorithms 35, 17–49 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  11. Garey, M., Johnson, D.: Computer and intractability. W. H. Freeman and Company, New York (1979)

    Google Scholar 

  12. Hayes, T., Vigoda, E.: Variable length path coupling. In: Proc. 15th Annual ACMSIAM Symposium on Discrete Algorithms (SODA 2004), pp. 103–110. SIAM, Philadelphia (2004)

    Google Scholar 

  13. Hofmeister, T., Lefmann, H.: Approximating maximum independent sets in uniform hypergraphs. In: Brim, L., Gruska, J., Zlatuška, J. (eds.) MFCS 1998. LNCS, vol. 1450, pp. 562–570. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  14. Janson, S., Łuczak, T., Ruciński, A.: Random graphs. Wiley-Interscience, New York (2000)

    MATH  Google Scholar 

  15. Jerrum, M.: A very simple algorithm for estimating the number of k-colorings of a low-degree graph. Random Structure and Algorithms 7, 157–165 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  16. Jerrum, M.: Counting, sampling and integrating: algorithms and complexity. ETH Zürich Lectures in Mathematics, Birkhäuser, Basel (2003)

    Google Scholar 

  17. Krivelevich, M., Nathaniel, R., Sudakov, B.: Approximating coloring and maximum independent sets in 3-uniform hypergraphs. In: Proc. 12th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2001), pp. 327–328. SIAM, Philadelphia (2001)

    Google Scholar 

  18. Luby, M., Vigoda, E.: Fast convergence of the Glauber dynamics for sampling independent sets. Random Structures and Algorithms 15, 229–241 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  19. Mitzenmacher, M., Niklova, E.: Path coupling as a branching process, unpublished manuscript (2002)

    Google Scholar 

  20. Molloy, M.: Very rapidly mixing Markov chains for 2Δ-coloring and for independent sets in a graph with maximum degree 4. Random Structures and Algorithms 18, 101–115 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  21. Salas, J., Sokal, A.: Absence of phase transition for anti-ferromagnetic Potts models via the Dobrushin uniqueness theorem. Journal of Statistical Physics 86, 551–579 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  22. Vigoda, E.: A note on the Glauber dynamics for sampling independent sets.The Electronic Journal of Combinatorics 8, R8(1) (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bordewich, M., Dyer, M., Karpinski, M. (2005). Path Coupling Using Stopping Times. In: Liśkiewicz, M., Reischuk, R. (eds) Fundamentals of Computation Theory. FCT 2005. Lecture Notes in Computer Science, vol 3623. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11537311_3

Download citation

  • DOI: https://doi.org/10.1007/11537311_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28193-1

  • Online ISBN: 978-3-540-31873-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics