Thick points for Gaussian free fields with different cut-offs
Probability
2015-02-11 v2
Abstract
Massive and massless Gaussian free fields can be described as generalized Gaussian processes indexed by an appropriate space of functions. In this article we study various approaches to approximate these fields and look at the fractal properties of the thick points of their cut-offs. Under some sufficient conditions for a centered Gaussian process with logarithmic variance we study the set of thick points and derive their Hausdorff dimension. We prove that various cut-offs for Gaussian free fields satisfy these assumptions. We also give sufficient conditions for comparing thick points of different cut-offs.
Cite
@article{arxiv.1407.5840,
title = {Thick points for Gaussian free fields with different cut-offs},
author = {Alessandra Cipriani and Rajat Subhra Hazra},
journal= {arXiv preprint arXiv:1407.5840},
year = {2015}
}
Comments
23 pages. Major changes done in the lower bound result and some other inconsistencies corrected