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On the Number of Distinct Fringe Subtrees in Binary Search Trees
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Probability Theory and Combinatorics. Institute of Discrete Mathematics, TU Graz, Austria.ORCID iD: 0000-0001-5533-2764
2024 (English)In: 35th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2024) / [ed] Cécile Mailler; Sebastian Wild, Schloss Dagstuhl – Leibniz-Zentrum für Informatik , 2024, Vol. 302, p. 13:1-13:11, article id 13Conference paper, Published paper (Refereed)
Abstract [en]

A fringe subtree of a rooted tree is a subtree that consists of a vertex and all its descendants. The number of distinct fringe subtrees in random trees has been studied by several authors, notably because of its connection to tree compaction algorithms. Here, we obtain a very precise result for binary search trees: it is shown that the number of distinct fringe subtrees in a binary search tree with n leaves is asymptotically equal to (c₁n)/(log n) for a constant c₁ ≈ 2.4071298335, both in expectation and with high probability. This was previously shown to be a lower bound, our main contribution is to prove a matching upper bound. The method is quite general and can also be applied to similar problems for other tree models.

Place, publisher, year, edition, pages
Schloss Dagstuhl – Leibniz-Zentrum für Informatik , 2024. Vol. 302, p. 13:1-13:11, article id 13
Series
Leibniz International Proceedings in Informatics (LIPIcs), ISSN 1868-8969
Keywords [en]
Fringe subtrees, binary search trees, tree compression, minimal DAG, asymptotics
National Category
Discrete Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-547025DOI: 10.4230/LIPIcs.AofA.2024.13Scopus ID: 2-s2.0-85199624452ISBN: 978-3-95977-329-4 (print)OAI: oai:DiVA.org:uu-547025DiVA, id: diva2:1927000
Conference
35th International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2024), June 17-21, 2024, University of Bath, Bath, UK
Funder
Swedish Research Council, 2022-04030Available from: 2025-01-14 Created: 2025-01-14 Last updated: 2025-01-24Bibliographically approved

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Wagner, Stephan

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