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Thick points of the gaussian free field

文献类型:期刊论文

作者Hu, Xiaoyu1; Miller, Jason2; Peres, Yuval3
刊名Annals of probability
出版日期2010-03-01
卷号38期号:2页码:896-926
ISSN号0091-1798
关键词Gaussian free field Thick points Extremal points Hausdorff dimension Fractal Conformal invariance
DOI10.1214/09-aop498
通讯作者Hu, xiaoyu(xyhu@gucas.ac.cn)
英文摘要Let u subset of c be a bounded domain with smooth boundary and let f be an instance of the continuum gaussian free field on u with respect to the dirichlet inner product integral(u) del f(x).del g(x)dx. the set t (a; u) of a-thick points of f consists of those z is an element of u such that the average of f on a disk of radius r centered at z has growth root a/pi log 1/r as r -> 0. we show that for each 0 <= a <= 2 the hausdorff dimension of t (a; u) is almost surely 2 - a, that nu(2-a)(t (a; u)) = infinity when 0 < a <= 2 and nu(2)(t(0; u)) = nu(2)(u) almost surely, where nu(alpha) is the hausdorff-alpha measure, and that t(a; u) is almost surely empty when a > 2. furthermore, we prove that t(a; u) is invariant under conformal transformations in an appropriate sense. the notion of a thick point is connected to the liouville quantum gravity measure with parameter gamma given formally by gamma(dz) = e(root 2 pi gamma f(z)) dz considered by duplantier and sheffield.
WOS关键词ENTROPIC REPULSION ; BROWNIAN-MOTION
WOS研究方向Mathematics
WOS类目Statistics & Probability
语种英语
出版者INST MATHEMATICAL STATISTICS
WOS记录号WOS:000275938300013
URI标识http://www.irgrid.ac.cn/handle/1471x/2409881
专题中国科学院大学
通讯作者Hu, Xiaoyu
作者单位1.Chinese Acad Sci, Dept Math, Beijing 100049, Peoples R China
2.Stanford Univ, Dept Math, Stanford, CA 94305 USA
3.Microsoft Res, Theory Grp, Redmond, WA 98052 USA
推荐引用方式
GB/T 7714
Hu, Xiaoyu,Miller, Jason,Peres, Yuval. Thick points of the gaussian free field[J]. Annals of probability,2010,38(2):896-926.
APA Hu, Xiaoyu,Miller, Jason,&Peres, Yuval.(2010).Thick points of the gaussian free field.Annals of probability,38(2),896-926.
MLA Hu, Xiaoyu,et al."Thick points of the gaussian free field".Annals of probability 38.2(2010):896-926.

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来源:中国科学院大学

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