Permutations in Binary Trees and Split Trees

Authors Michael Albert , Cecilia Holmgren , Tony Johansson, Fiona Skerman



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Author Details

Michael Albert
  • Department of Computer Science, Otago University, New Zealand
Cecilia Holmgren
  • Department of Mathematics, Uppsala University, Uppsala, Sweden
Tony Johansson
  • Department of Mathematics, Uppsala University, Uppsala, Sweden
Fiona Skerman
  • Department of Mathematics, Uppsala University, Uppsala, Sweden

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Michael Albert, Cecilia Holmgren, Tony Johansson, and Fiona Skerman. Permutations in Binary Trees and Split Trees. In 29th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 110, pp. 9:1-9:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.AofA.2018.9

Abstract

We investigate the number of permutations that occur in random node labellings of trees. This is a generalisation of the number of subpermutations occuring in a random permutation. It also generalises some recent results on the number of inversions in randomly labelled trees [Cai et al., 2017]. We consider complete binary trees as well as random split trees a large class of random trees of logarithmic height introduced by Devroye [Devroye, 1998]. Split trees consist of nodes (bags) which can contain balls and are generated by a random trickle down process of balls through the nodes. For complete binary trees we show that asymptotically the cumulants of the number of occurrences of a fixed permutation in the random node labelling have explicit formulas. Our other main theorem is to show that for a random split tree with high probability the cumulants of the number of occurrences are asymptotically an explicit parameter of the split tree. For the proof of the second theorem we show some results on the number of embeddings of digraphs into split trees which may be of independent interest.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Probabilistic algorithms
Keywords
  • random trees
  • split trees
  • permutations
  • inversions
  • cumulant

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References

  1. Nicolas Broutin, Luc Devroye, and Erin McLeish. Weighted height of random trees. Acta Informatica, 45(4):237, 2008. URL: http://dx.doi.org/10.1007/s00236-008-0069-0.
  2. Nicolas Broutin and Cecilia Holmgren. The total path length of split trees. The Annals of Applied Probability, 22(5):1745-1777, 2012. URL: http://dx.doi.org/10.1214/11-aap812.
  3. Xing Shi Cai, Cecilia Holmgren, Svante Janson, Tony Johansson, and Fiona Skerman. Inversions in split trees and conditional Galton-Watson trees. arXiv preprint arXiv:1709.00216, 2017. Google Scholar
  4. Luc Devroye. Universal limit laws for depths in random trees. SIAM Journal on Computing, 28(2):409-432, 1998. URL: http://dx.doi.org/10.1137/s0097539795283954.
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  7. C. Holmgren. Novel characteristics of split trees by use of renewal theory. Electronic Journal of Probability, 17, 2012. URL: http://dx.doi.org/10.1214/ejp.v17-1723.
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