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Critical two-point functions for long-range statistical-mechanical models in high dimensions

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Title: Critical two-point functions for long-range statistical-mechanical models in high dimensions
Authors: Chen, Lung-Chi Browse this author
Sakai, Akira Browse this author →KAKEN DB
Issue Date: Mar-2015
Publisher: Institute of Mathematical Statistics
Journal Title: The Annals of Probability
Volume: 43
Issue: 2
Start Page: 639
End Page: 681
Publisher DOI: 10.1214/13-AOP843
Abstract: We consider long-range self-avoiding walk, percolation and the Ising model on Zd that are defined by power-law decaying pair potentials of the form D(x)≍|x|−d−α with α>0. The upper-critical dimension dc is 2(α∧2) for self-avoiding walk and the Ising model, and 3(α∧2) for percolation. Let α≠2 and assume certain heat-kernel bounds on the n-step distribution of the underlying random walk. We prove that, for d>dc (and the spread-out parameter sufficiently large), the critical two-point function Gpc(x) for each model is asymptotically C|x|α∧2−d, where the constant C∈(0,∞) is expressed in terms of the model-dependent lace-expansion coefficients and exhibits crossover between α<2 and α>2. We also provide a class of random walks that satisfy those heat-kernel bounds.
Type: article
URI: http://hdl.handle.net/2115/57803
Appears in Collections:理学院・理学研究院 (Graduate School of Science / Faculty of Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 坂井 哲

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