CONVERGENCE DE CARTES NON - BIPARTIES VIA LA SYMÉTRISATION D’ARBRES ÉTIQUETÉS

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Abstract

— Fix an odd integer p ≥ 5. Let Mn be a uniform p-angulation with n vertices, endowed with the uniform probability measure on its vertices. We prove that there exists Cp ∈ R+ such that, after rescaling distances by Cp/n1/4, Mn converges in distribution for the Gromov–Hausdorff–Prokhorov topology towards the Brownian map. To prove the pre-ceding fact, we introduce a bootstrapping principle for distributional convergence of random labelled plane trees. In particular, the latter allows to obtain an invariance principle for labeled multitype Galton–Watson trees, with only a weak assumption on the centering of label displacements.

Translated title of the contributionCONVERGENCE OF NON - BIPARTITE MAPS VIA SYMMETRIZATION OF LABELEDTREES
Original languageEnglish
Pages (from-to)653-683
Number of pages31
JournalAnnales Henri Lebesgue
Volume4
DOIs
Publication statusPublished - 1 Jan 2021

Keywords

  • Brownian map
  • Brownian snake
  • Invariance principle
  • Random planar maps
  • Random trees

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