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Global and Local Multiple SLEs for 4 and Connection Probabilities for Level Lines of GFF

机译:全球和本地多个SLES用于4个和GFF级别线路的连接概率

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This article pertains to the classification of multiple Schramm-Loewner evolutions (SLE). We construct the pure partition functions of multiple SLE with (0,4] and relate them to certain extremal multiple SLE measures, thus verifying a conjecture from Bauer etal. (J Stat Phys 120(5-6):1125-1163, 2005) and Kytola and Peltola (Commun Math Phys 346(1):237-292, 2016). We prove that the two approaches to construct multiple SLEsthe global, configurational construction of Kozdron and Lawler (Universality and renormalization, vol 50 of Fields institute communications. American Mathematical Society, Providence, 2007) and Lawler (J Stat Phys 134(5-6): 813-837, 2009) and the local, growth process construction of Bauer etal. (2005), Dubedat (Commun Pure Appl Math 60(12):1792-1847, 2007), Graham (J Stat Mech Theory 2007(3):P03008, 2007) and Kytola and Peltola (2016)agree. The pure partition functions are closely related to crossing probabilities in critical statistical mechanics models. With explicit formulas in the special case of =4, we show that these functions give the connection probabilities for the level lines of the Gaussian free field (GFF) with alternating boundary data. We also show that certain functions, known as conformal blocks, give rise to multiple SLE4 that can be naturally coupled with the GFF with appropriate boundary data.
机译:本文涉及多个Schramm-Loewner演进(SLE)的分类。我们用(0,4]构造多个SLE的纯分区功能,并将它们与某些极值多的SLE措施相关联,从而验证了Bauer Etal的猜测。(J STEM Phys 120(5-6):1125-1163,2005)和Kytola和Peltola(Comm Math Phys 346(1):237-292,2016)。我们证明这两种方法构建了多次Slesthe全球,科兹德隆和律师的配置建设(普遍性和重整化,Fields Institute Communications的Vol 50。美国数学会,普罗维登斯,2007年)和律师(J STEM PHORM 134(5-6):813-837,2009)和BAUER ETAL的当地增长过程建设。(2005),DUBEDAT(纯粹的APPL MATH 60) 12):1792-1847,2007),格雷厄姆(J STAT MECH理论2007(3):P03008,2007)和Kytola和Peltola(2016年)同意。纯分区功能与关键统计力学模型中的交叉概率密切相关。在特殊情况下,在= 4的特殊情况下,我们表明这些功能给出了连接专业版具有交替边界数据的高斯自由领域(GFF)的水平线的技能。我们还表明某些功能,称为共形块,产生多个SLE4,其可以通过适当的边界数据与GFF自然地耦合。

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