Subsequential scaling limits of simple random walk on the two-dimensional uniform spanning tree
Abstract
The first main result of this paper is that the law of the (rescaled) two-dimensional uniform spanning tree is tight in a space whose elements are measured, rooted real trees continuously embedded into Euclidean space. Various properties of the intrinsic metrics, measures and embeddings of the subsequential limits in this space are obtained, with it being proved in particular that the Hausdorff dimension of any limit in its intrinsic metric is almost surely equal to . In addition, the tightness result is applied to deduce that the annealed law of the simple random walk on the two-dimensional uniform spanning tree is tight under a suitable rescaling. For the limiting processes, which are diffusions on random real trees embedded into Euclidean space, detailed transition density estimates are derived.
Cite
@article{arxiv.1407.5162,
title = {Subsequential scaling limits of simple random walk on the two-dimensional uniform spanning tree},
author = {M. T. Barlow and D. A. Croydon and T. Kumagai},
journal= {arXiv preprint arXiv:1407.5162},
year = {2017}
}
Comments
Published at http://dx.doi.org/10.1214/15-AOP1030 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)