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arxiv: 1303.3995 · v2 · pith:5SRWNGITnew · submitted 2013-03-16 · 🧮 math.PR

Distances in critical long range percolation

classification 🧮 math.PR
keywords betadistancesgraphlongmodelpercolationrangetheta
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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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