Random pseudometrics and applications
Résumé
Let $T$ be a random ergodic pseudometric over $\mathbb R^d$. This setting generalizes the classical \emph{first passage percolation} (FPP) over $\mathbb Z^d$. We provide simple conditions on $T$, the decay of instant one-arms and exponential quasi-independence, that ensure the positivity of its time constants, that is almost surely, the pseudo-distance given by $T$ from the origin is asymptotically a norm. Combining this general result with previously known ones, we prove that
- the known phase transition for Gaussian percolation in the case of fields with positive correlations with exponentially fast decayholds for Gaussian FPP, including the natural Bargmann-Fock model;
- the known phase transition for Voronoi percolation also extends to the associated FPP;
- the same happens for Boolean percolation for radii with exponential tails, a result which was known without this condition.
- We prove the positivity of the constant for random continuous Riemannian metrics, including cases with infinite correlations in dimension $d=2$.
- Finally, we show that the critical exponent for the one-arm, if exists, is bounded above by $d-1$. This holds forbond Bernoulli percolation, planar Gaussian fields, planar Voronoi percolation, and Boolean percolation with exponential small tails.
Domaines
Probabilités [math.PR]Origine | Fichiers produits par l'(les) auteur(s) |
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