Gaussian deconvolution and the lace expansion for spread-out models

Fuente: arXiv
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Auteurs principaux: Liu, Yucheng, Slade, Gordon
Format: Preprint
Publié: 2023
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author Liu, Yucheng
Slade, Gordon
author_facet Liu, Yucheng
Slade, Gordon
contents We present a new proof of $|x|^{-(d-2)}$ decay of critical two-point functions for spread-out statistical mechanical models on $\mathbb{Z}^d$ above the upper critical dimension, based on the lace expansion and assuming appropriate diagrammatic estimates. Applications include spread-out models of the Ising model and self-avoiding walk in dimensions $d>4$, and spread-out percolation for $d>6$. The proof is based on an extension of the new Gaussian deconvolution theorem we obtained in a recent paper. It provides a technically simpler and conceptually more transparent approach than the method of Hara, van der Hofstad and Slade (2003).
format Preprint
id arxiv_https___arxiv_org_abs_2310_07640
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Gaussian deconvolution and the lace expansion for spread-out models
Liu, Yucheng
Slade, Gordon
Probability
Mathematical Physics
42B05, 60K35, 82B27, 82B41, 82B43
We present a new proof of $|x|^{-(d-2)}$ decay of critical two-point functions for spread-out statistical mechanical models on $\mathbb{Z}^d$ above the upper critical dimension, based on the lace expansion and assuming appropriate diagrammatic estimates. Applications include spread-out models of the Ising model and self-avoiding walk in dimensions $d>4$, and spread-out percolation for $d>6$. The proof is based on an extension of the new Gaussian deconvolution theorem we obtained in a recent paper. It provides a technically simpler and conceptually more transparent approach than the method of Hara, van der Hofstad and Slade (2003).
title Gaussian deconvolution and the lace expansion for spread-out models
topic Probability
Mathematical Physics
42B05, 60K35, 82B27, 82B41, 82B43
url https://arxiv.org/abs/2310.07640