Arithmetic oscillations of the chemical distance in long-range percolation on $\mathbb Z^d$
Marek Biskup, Andrew Krieger

TL;DR
This paper studies the chemical distance in long-range percolation on lattices, revealing oscillatory scaling behavior and arithmetic rigidity of shortest paths, with results on the dependence on model parameters.
Contribution
It establishes the asymptotic behavior of chemical distances in long-range percolation, showing oscillations and hierarchical path structures, and disproves the conjecture that a certain scaling function is constant.
Findings
Chemical distance scales as ig(rac{1}{eta}ig)(\, ext{log}\, r)^\, ext{Delta} for large r.
The scaling function _eta(r) is non-constant and depends on eta.
Shortest paths exhibit hierarchical, dyadic structure leading to arithmetic rigidity.
Abstract
We consider a long-range percolation graph on where, in addition to the nearest-neighbor edges of , distinct are connected by an edge independently with probability asymptotic to , for , and a norm on . We first show that, for all but a countably many , the graph-theoretical (a.k.a. chemical) distance between typical vertices at -distance is, with high probability as , asymptotic to , where and is a positive, bounded and continuous function subject to for . The proof parallels that in a continuum version of the model where a similar scaling was shown earlier by the first author and J. Lin. This work also conjectured that…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
