A lower bound for the chemical distance in sparse long-range percolation models
Probability
2007-05-23 v1
Abstract
We consider long-range percolation in dimension , where distinct sites and are connected with probability . Assuming that is translation invariant and that with , we show that the graph distance is at least linear with the Euclidean distance.
Cite
@article{arxiv.math/0409021,
title = {A lower bound for the chemical distance in sparse long-range percolation models},
author = {Noam Berger},
journal= {arXiv preprint arXiv:math/0409021},
year = {2007}
}
Comments
9 pages