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arXiv 1104.1606math.PR
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布朗映射是均匀随机平面四边形剖分的标度极限

The Brownian map is the scaling limit of uniform random plane quadrangulations

Grégory Miermont

摘要:

我们证明了具有$n$面的球的均匀随机四边形化,赋予通常的图距离并由$n^{-1/4}$重正化,对于Gromov-Hausdorff拓扑,收敛为$n\to\infty$分布到一个极限度量空间。我们验证了Le Gall的一个猜想,证明该极限是(在尺度常数以内)所谓的{ \em Brownian map},它是由Marckert & Mokkadem和Le Gall引入的,作为许多随机平面映射模型的尺度极限的最自然候选者。证明强烈依赖于地图中{ \em测地星}的概念,测地星是由几个测地线组成的配置,这些测地线只共享一个公共端点,在其他地方不相交。

英文摘要:

We prove that uniform random quadrangulations of the sphere with $n$ faces, endowed with the usual graph distance and renormalized by $n^{-1/4}$, converge as $n\to\infty$ in distribution for the Gromov-Hausdorff topology to a limiting metric space. We validate a conjecture by Le Gall, by showing that the limit is (up to a scale constant) the so-called {\em Brownian map}, which was introduced by Marckert & Mokkadem and Le Gall as the most natural candidate for the scaling limit of many models of random plane maps. The proof relies strongly on the concept of {\em geodesic stars} in the map, which are configurations made of several geodesics that only share a common endpoint and do not meet elsewhere.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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