Self-attracting self-avoiding walk
Probability
2018-12-11 v2
Abstract
This article is concerned with self-avoiding walks (SAW) on that are subject to a self-attraction. The attraction, which rewards instances of adjacent parallel edges, introduces difficulties that are not present in ordinary SAW. Ueltschi has shown how to overcome these difficulties for sufficiently regular infinite-range step distributions and weak self-attractions. This article considers the case of bounded step distributions. For weak self-attractions we show that the connective constant exists, and, in , carry out a lace expansion analysis to prove the mean-field behaviour of the critical two-point function, hereby addressing a problem posed by den Hollander.
Cite
@article{arxiv.1712.07673,
title = {Self-attracting self-avoiding walk},
author = {Alan Hammond and Tyler Helmuth},
journal= {arXiv preprint arXiv:1712.07673},
year = {2018}
}