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Conflict-Free Colourings of Graphs and Hypergraphs
Published online by Cambridge University Press: 01 September 2009
- JÁNOS PACH
- Affiliation:EPFL-SB-IMB-DCG, CH-1015 Lausanne, Switzerland and Department of Computer Science, City College, 138th Street at Convent Avenue, NY, NY 10031, USA (e-mail: pach@cims.nyu.edu)
- GÁBOR TARDOS
- Affiliation:School of Computing Science, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada and Rényi Institute, 13–15 Reáltanoda utca Budapest, Hungary (e-mail: tardos@cs.sfu.edu)
Abstract
A colouring of the vertices of a hypergraphH is calledconflict-free if each hyperedgeE ofH contains a vertex of ‘unique’ colour that does not get repeated inE. The smallest number of colours required for such a colouring is called theconflict-free chromatic number ofH, and is denoted by χCF(H). This parameter was first introduced by Even, Lotker, Ron and Smorodinsky (FOCS 2002) in ageometric setting, in connection with frequency assignment problems for cellular networks. Here we analyse this notion for general hypergraphs. It is shown that, for every hypergraph withm edges, and that this bound is tight. Better bounds of the order ofm1/t logm are proved under the assumption that the size of every edge ofH is at least 2t − 1, for somet ≥ 3. Using Lovász's Local Lemma, the same result holds for hypergraphs in which the size of every edge is at least 2t − 1 and every edge intersects at mostm others. We give efficient polynomial-time algorithms to obtain such colourings.
Our machinery can also be applied to the hypergraphs induced by the neighbourhoods of the vertices of a graph. It turns out that in this case we need far fewer colours. For example, it is shown that the vertices of any graphG with maximum degree Δ can be coloured with log2+ε Δ colours, so that the neighbourhood of every vertex contains a point of ‘unique’ colour. We give an efficient deterministic algorithm to find such a colouring, based on a randomized algorithmic version of the Lovász Local Lemma, suggested by Beck, Molloy and Reed. To achieve this, we need to (1) correct a small error in the Molloy–Reed approach, (2) restate and re-prove their result in adeterministic form.
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- Information
- Combinatorics, Probability and Computing ,Volume 18 ,Issue 5: New Directions in Algorithms, Combinatorics and Optimization, September 2009, pp. 819 - 834
- Copyright
- Copyright © Cambridge University Press 2009
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