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The polynomial growth of the infinite long-range percolation cluster

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arxiv 2311.14352 v2 pith:B3I4AAZK submitted 2023-11-24 math.PR

classification math.PR
keywords criticalgrowthlong-rangepercolationbetacaseconnectedexponent
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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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  1. Uniqueness and dimension for the geodesic of the critical long-range percolation metric

    math.PR 2025-06 conditional novelty 7.0 of 10

    For the critical long-range percolation metric, geodesics are almost surely unique and every geodesic has Hausdorff dimension equal to the distance exponent theta.

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