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 contribution | CONVERGENCE OF NON - BIPARTITE MAPS VIA SYMMETRIZATION OF LABELEDTREES |
|---|---|
| Original language | English |
| Pages (from-to) | 653-683 |
| Number of pages | 31 |
| Journal | Annales Henri Lebesgue |
| Volume | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 2021 |
Keywords
- Brownian map
- Brownian snake
- Invariance principle
- Random planar maps
- Random trees
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