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Auteurs principaux: Kortchemski, Igor, Marzouk, Cyril
Format: Preprint
Publié: 2021
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Accès en ligne:https://arxiv.org/abs/2101.01682
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author Kortchemski, Igor
Marzouk, Cyril
author_facet Kortchemski, Igor
Marzouk, Cyril
contents We first establish new local limit estimates for the probability that a nondecreasing integer-valued random walk lies at time $n$ at an arbitrary value, encompassing in particular large deviation regimes. This enables us to derive scaling limits of such random walks conditioned by their terminal value at time $n$ in various regimes. We believe both to be of independent interest. We then apply these results to obtain invariance principles for the Lukasiewicz path of Bienaymé-Galton-Watson trees conditioned on having a fixed number of leaves and of vertices at the same time, which constitutes a first step towards understanding their large scale geometry. We finally deduce from this scaling limit theorems for random bipartite planar maps under a new conditioning by fixing their number of vertices, edges, and faces at the same time. In the particular case of the uniform distribution, our results confirm a prediction of Fusy & Guitter on the growth of the typical distances and show furthermore that in all regimes, the scaling limit is the celebrated Brownian map.
format Preprint
id arxiv_https___arxiv_org_abs_2101_01682
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Large deviation Local Limit Theorems and limits of biconditioned Trees and Maps
Kortchemski, Igor
Marzouk, Cyril
Probability
We first establish new local limit estimates for the probability that a nondecreasing integer-valued random walk lies at time $n$ at an arbitrary value, encompassing in particular large deviation regimes. This enables us to derive scaling limits of such random walks conditioned by their terminal value at time $n$ in various regimes. We believe both to be of independent interest. We then apply these results to obtain invariance principles for the Lukasiewicz path of Bienaymé-Galton-Watson trees conditioned on having a fixed number of leaves and of vertices at the same time, which constitutes a first step towards understanding their large scale geometry. We finally deduce from this scaling limit theorems for random bipartite planar maps under a new conditioning by fixing their number of vertices, edges, and faces at the same time. In the particular case of the uniform distribution, our results confirm a prediction of Fusy & Guitter on the growth of the typical distances and show furthermore that in all regimes, the scaling limit is the celebrated Brownian map.
title Large deviation Local Limit Theorems and limits of biconditioned Trees and Maps
topic Probability
url https://arxiv.org/abs/2101.01682