Asymptotic shape for the chemical distance and first-passage percolation in random environment
Olivier Garet, Regine Marchand

TL;DR
This paper extends the asymptotic shape theorem for first-passage percolation to random environments formed by supercritical Bernoulli percolation, showing convergence to a deterministic shape and analyzing chemical distances.
Contribution
It generalizes the asymptotic shape result to percolation on random environments and establishes convergence to a deterministic shape independent of the environment.
Findings
Convergence of the renormalized wet points set to a deterministic shape.
Asymptotic shape theorem for chemical distance in supercritical Bernoulli percolation.
Proof of a flat edge result in the shape.
Abstract
The aim of this paper is to generalize the well-known asymptotic shape result for first-passage percolation on to first-passage percolation on a random environment given by the infinite cluster of a supercritical Bernoulli percolation model. We prove the convergence of the renormalized set of wet points to a deterministic shape that does not depend on the random environment. As a special case of the previous result, we obtain an asymptotic shape theorem for the chemical distance in supercritical Bernoulli percolation. We also prove a flat edge result. Some various examples are also given.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Theoretical and Computational Physics
