Pearcey universality at cusps of polygonal lozenge tilings

IF 3.1 1区 数学 Q1 MATHEMATICS
Jiaoyang Huang, Fan Yang, Lingfu Zhang
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引用次数: 0

Abstract

We study uniformly random lozenge tilings of general simply connected polygons. Under a technical assumption that is presumably generic with respect to polygon shapes, we show that the local statistics around a cusp point of the arctic curve converge to the Pearcey process. This verifies the widely predicted universality of edge statistics in the cusp case. Together with the smooth and tangent cases proved by Aggarwal-Huang and Aggarwal-Gorin, these are believed to be the three types of edge statistics that can arise in a generic polygon. Our proof is via a local coupling of the random tiling with nonintersecting Bernoulli random walks (NBRW). To leverage this coupling, we establish an optimal concentration estimate for the tiling height function around the cusp. As another step and also a result of potential independent interest, we show that the local statistics of NBRW around a cusp converge to the Pearcey process when the initial configuration consists of two parts with proper density growth, via careful asymptotic analysis of the determinantal formulas.

多边形菱形倾斜顶点的皮尔斯普遍性
我们研究了一般简单连接多边形的均匀随机菱形倾斜。在多边形形状通用的技术假设下,我们证明了北极曲线尖点周围的局部统计收敛于皮尔斯过程。这验证了人们广泛预测的尖点情况下边缘统计的普遍性。连同阿加瓦尔-黄和阿加瓦尔-戈林证明的平滑和切线情况,这三种情况被认为是一般多边形中可能出现的三种边缘统计。我们的证明是通过随机平铺与非相交伯努利随机游走(NBRW)的局部耦合进行的。为了利用这种耦合,我们为尖顶周围的平铺高度函数建立了一个最优集中估计。作为另一个步骤,同时也是一个潜在的独立兴趣结果,我们通过对行列式的渐近分析表明,当初始配置由两部分组成并具有适当的密度增长时,尖顶周围的 NBRW 局部统计会收敛于皮尔斯过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
3.30%
发文量
59
审稿时长
>12 weeks
期刊介绍: Communications on Pure and Applied Mathematics (ISSN 0010-3640) is published monthly, one volume per year, by John Wiley & Sons, Inc. © 2019. The journal primarily publishes papers originating at or solicited by the Courant Institute of Mathematical Sciences. It features recent developments in applied mathematics, mathematical physics, and mathematical analysis. The topics include partial differential equations, computer science, and applied mathematics. CPAM is devoted to mathematical contributions to the sciences; both theoretical and applied papers, of original or expository type, are included.
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