Vertices of Degree k in Random Unlabeled Trees

Konstantinos Panagiotou, Makrand Sinha

Research output: Contribution to journalArticlepeer-review


Let Hn be the class of vertex-rooted unlabeled trees with n vertices, and denote by Hn a tree that is drawn uniformly at random from this set. In this work we study the number degk (Hn) of vertices of degree k in Hn. In particular, for k = O ((frac(log n, log log n))1 / 2) we show exponential-type bounds for the probability that degk (Hn) deviates from its expectation. On the technical side, our proofs are based on the analysis of a randomized algorithm that generates unlabeled trees in the so-called Boltzmann model. The analysis of such algorithms is quite well-understood for classes of labeled graphs. Comparable algorithms for unlabeled classes are unfortunately much more complex. We demonstrate in this work that they can be analyzed very precisely for classes of unlabeled graphs as well.

Original languageEnglish (US)
Pages (from-to)41-45
Number of pages5
JournalElectronic Notes in Discrete Mathematics
StatePublished - Aug 1 2009
Externally publishedYes


  • Boltzmann Sampling
  • Degree Sequence
  • Random Unlabeled Trees

ASJC Scopus subject areas

  • Discrete Mathematics and Combinatorics
  • Applied Mathematics


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