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The polynomial growth of the infinite long-range percolation cluster

Published 24 Nov 2023 in math.PR | (2311.14352v1)

Abstract: We study independent long-range percolation on $\mathbb{Z}d$ where the nearest-neighbor edges are always open and the probability that two vertices $x,y$ with $|x-y|>1$ are connected by an edge is proportional to $\frac{\beta}{|x-y|s}$, where $\beta>0$ and $s> 0$ are parameters. We show that the ball of radius $k$ centered at the origin in the graph metric grows polynomially if and only if $s\geq 2d$. For the critical case $s=2d$, we show that the volume growth exponent is inversely proportional to the distance growth exponent. Furthermore, we provide sharp upper and lower bounds on the probability that the origin and $ne_1$ are connected by a path of length $k$ in the critical case $s=2d$. We use these results to determine the Hausdorff dimension of the critical long-range percolation metric that was recently constructed by Ding, Fan, and Huang [14].

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