Skip to main content

Abstract

Using the symmetric form of the Lovász Local Lemma, one can conclude that a k-uniform hypergraph \(\mathcal{H}\) admits a proper 2-colouring if the maximum degree (denoted by Δ) of \(\mathcal{H}\) is at most \(\frac{2^k}{8k}\) independently of the size of the hypergraph. However, this argument does not give us an algorithm to find a proper 2-colouring of such hypergraphs. We call a hypergraph linear if no two hyperedges have more than one vertex in common.

In this paper, we present a deterministic polynomial time algorithm for 2-colouring every k-uniform linear hypergraph with \(\Delta \le 2^{k-k^{\epsilon}}\), where 1/2 < ε< 1 is any arbitrary constant and k is larger than a certain constant that depends on ε. The previous best algorithm for 2-colouring linear hypergraphs is due to Beck and Lodha [4]. They showed that for every δ> 0 there exists a c > 0 such that every linear hypergraph with Δ ≤ 2k − δk and \(k > c\log\log(|E(\mathcal{H})|)\), can be properly 2-coloured deterministically in polynomial time.

Research of the first author is supported by a NSERC graduate scholarship and research grants of Prof. D. Thérien, the second author is supported by a Canada Research Chair in graph theory. We would like to thank an anonymous referee for pointing out the reference [10].

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Alon, N.: A parallel algorithmic version of the Local Lemma. Random Structures and Algorithms 2, 367–379 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  2. Alon, N., Spencer, J.: The Probabilistic Method. Wiley, New York (1992)

    MATH  Google Scholar 

  3. Beck, J.: An algorithmic approach to the Lovász Local Lemma. Random Structures and Algorithms 2(4), 343–365 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  4. Beck, J., Lodha, S.: Efficient proper 2-coloring of almost disjoint hypergraphs. In: SODA, pp. 598–605 (2002)

    Google Scholar 

  5. Erdös, P., Lovász, L.: Problems and results on 3-chromatic hypergraphs and some related questions. In: H., A., et al. (eds.) Infinite and Finite sets. Colloq. Math. Soc. J. Bolyai, vol. 11, pp. 609–627 (1975)

    Google Scholar 

  6. Erdös, P., Selfridge, J.: On a combinatorial game. Journal of Combinatorial Theory (A) 14, 298–301 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  7. Harary, F., Palmer, E.: Graphical Enumeration, 1st edn. Academic Press, London (1973)

    MATH  Google Scholar 

  8. Molloy, M., Reed, B.: Further algorithmic aspects of the Local Lemma. In: STOC, pp. 524–529 (1998)

    Google Scholar 

  9. Molloy, M., Reed, B.: Graph Colouring and the Probabilistic Method. Springer, Heidelberg (2002)

    Book  MATH  Google Scholar 

  10. Radhakrishnan, J., Srinivasan, A.: Improved bounds and algorithms for hypergraph 2-coloring. Random Structures and Algorithms 16, 4–32 (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

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chattopadhyay, A., Reed, B.A. (2007). Properly 2-Colouring Linear Hypergraphs. In: Charikar, M., Jansen, K., Reingold, O., Rolim, J.D.P. (eds) Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. APPROX RANDOM 2007 2007. Lecture Notes in Computer Science, vol 4627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74208-1_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74208-1_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74207-4

  • Online ISBN: 978-3-540-74208-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics