Distances in critical long range percolation
Probability
2015-11-10 v2
Abstract
We study the long range percolation model on where sites and are connected with probability . Graph distances are now well understood for all exponents except in the case where the model exhibits non-trivial self-similar scaling. Establishing a conjecture of Benjamini and Berger \cite{BenBer:01}, we prove that the typical distance from site 0 to grows as a power law up to a multiplicative constant for some exponent as does the diameter of the graph on a box of length .
Cite
@article{arxiv.1303.3995,
title = {Distances in critical long range percolation},
author = {Jian Ding and Allan Sly},
journal= {arXiv preprint arXiv:1303.3995},
year = {2015}
}
Comments
A number of revisions have been implemented in Version 2