Large deviation local limit theorems and limits of biconditioned planar maps

IF 1.8 2区 数学 Q2 STATISTICS & PROBABILITY Annals of Applied Probability Pub Date : 2023-10-01 DOI:10.1214/22-aap1906
Igor Kortchemski, Cyril Marzouk
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引用次数: 2

Abstract

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 on the boundary of the Cramér zone. 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 Łukasiewicz 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 and Guitter on the growth of the typical distances and show furthermore that in all regimes, the scaling limit is the celebrated Brownian sphere.
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双条件平面映射的大偏差局部极限定理和极限
我们首先建立了一个非递减的整数值随机漫步在时刻n处于任意值的概率的新的局部极限估计,其中包括在cram区域边界上的特别大的偏差区。这使我们能够推导出这些随机游走的缩放极限,这些随机游走是由它们在不同状态下n时刻的终端值决定的。我们认为两者都具有独立的利益。然后,我们应用这些结果来获得bienaym -高尔顿-沃森树的Łukasiewicz路径的不变性原则,条件是同时具有固定数量的叶子和顶点,这是理解其大规模几何结构的第一步。最后,我们通过同时固定随机二部平面图的顶点、边和面的数量,推导出在新的条件下随机二部平面图的缩放极限定理。在均匀分布的特殊情况下,我们的结果证实了Fusy和Guitter对典型距离增长的预测,并进一步表明,在所有情况下,标度极限是著名的布朗球。
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来源期刊
Annals of Applied Probability
Annals of Applied Probability 数学-统计学与概率论
CiteScore
2.70
自引率
5.60%
发文量
108
审稿时长
6-12 weeks
期刊介绍: The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.
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