Local Algorithms, Regular Graphs of Large Girth, and Random Regular Graphs

  • Carlos Hoppen
  • Nicholas Wormald


We introduce a general class of algorithms and analyse their application to regular graphs of large girth. In particular, we can transfer several results proved for random regular graphs into (deterministic) results about all regular graphs with sufficiently large girth. This reverses the usual direction, which is from the deterministic setting to the random one. In particular, this approach enables, for the first time, the achievement of results equivalent to those obtained on random regular graphs by a powerful class of algorithms which contain prioritised actions. As a result, we obtain new upper or lower bounds on the size of maximum independent sets, minimum dominating sets, maximum k-independent sets, minimum k-dominating sets and maximum k-separated matchings in r-regular graphs with large girth.

Mathematics Subject Classification (2000)

05C35 05C80 05C69 05C85 


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Copyright information

© János Bolyai Mathematical Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Instituto de Matemática e EstatísticaUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
  2. 2.School of Mathematical SciencesMonash UniversityMelbourneAustralia

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