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Distances in critical long range percolation

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arxiv 1303.3995 v2 pith:5SRWNGIT submitted 2013-03-16 math.PR

classification math.PR
keywords betadistancesgraphlongmodelpercolationrangetheta
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abstract

We study the long range percolation model on $\mathbb{Z}$ where sites $i$ and $j$ are connected with probability $\beta |i-j|^{-s}$. Graph distances are now well understood for all exponents $s$ except in the case $s=2$ 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 $n$ grows as a power law $n^{\theta(\beta)}$ up to a multiplicative constant for some exponent $0<\theta(\beta)<1$ as does the diameter of the graph on a box of length $n$.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Rainbow percolation

    math.PR 2026-08 accept novelty 8.0 of 10

    The continuum random connection model at critical inverse-square decay percolates for λβ≥31 and fragments for λβ<1, while its integer-lattice version never percolates at all.

  2. 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.

  3. The polynomial growth of effective resistances in one-dimensional critical long-range percolation

    math.PR 2025-04 conditional novelty 7.0 of 10

    Effective resistances in one-dimensional critical long-range percolation grow as n^{δ(β)} for some δ(β) in (0,1).

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