arXiv:2208.04800 [math.PR]AbstractReferencesReviewsResources
Distances in $\frac{1}{|x-y|^{2d}}$ percolation models for all dimensions
Published 2022-08-09Version 1
We study independent long-range percolation on $\mathbb{Z}^d$ for all dimensions $d$, where the vertices $u$ and $v$ are connected with probability 1 for $\|u-v\|_\infty=1$ and with probability $p(\beta,\{u,v\})=1-e^{-\beta \int_{u+\left[0,1\right)^d} \int_{v+\left[0,1\right)^d} \frac{1}{\|x-y\|^{2d}} d x d y } \approx \frac{\beta}{\|u-v\|^{2d}}$ for $\|u-v\|_\infty \geq 2$. Let $u \in \mathbb{Z}^d$ be a point with $\|u\|=n$. We show that both the graph distance between the origin $\mathbf{0}$ and $u$ and the diameter of the box $\{0 ,\ldots, n\}^d$ grow like $n^{\theta(\beta)}$, where $0<\theta(\beta ) < 1$. We also show that the graph distance has the same asymptotic growth when two vertices $u,v$ with $\|u-v\|_2 > 1$ are connected with a probability that is close enough to $p(\beta,\{u,v\})$. Furthermore, we determine the asymptotic behavior of $\theta(\beta)$ for large $\beta$.