General Edgeworth expansions with applications to profiles of random trees

Zakhar Kabluchko, Alexander Marynych, Henning Sulzbach

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
228 Downloads (Pure)

Abstract

We prove an asymptotic Edgeworth expansion for the profiles of certain random trees including binary search trees, random recursive trees and plane-oriented random trees, as the size of the tree goes to infinity. All these models can be seen as special cases of the one-split branching random walk for which we also provide an Edgeworth expansion. These expansions lead to new results on mode, width and occupation numbers of the trees, settling several open problems raised in Devroye and Hwang [Ann. Appl. Probab. 16 (2006) 886–918], Fuchs, Hwang and Neininger [Algorithmica 46 (2006) 367–407], and Drmota and Hwang [Adv. in Appl. Probab. 37 (2005) 321–341]. The aforementioned results are special cases and corollaries of a general theorem: an Edgeworth expansion for an arbitrary sequence of random or deterministic functions Ln:Z→R which converges in the mod-ϕ-sense. Applications to Stirling numbers of the first kind will be given in a separate paper.
Original languageEnglish
Pages (from-to)3478-3524
Number of pages47
JournalAnnals of Applied Probability
Volume27
Issue number6
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • Biggins martingale
  • branching random walk
  • central limit theorem
  • Edgeworth expansion
  • mod-phi convergence
  • mode
  • profile
  • random analytic function
  • random tree
  • width

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