1990
DOI: 10.1214/aop/1176990632
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The Russo-Seymour-Welsh Theorem and the Equality of Critical Densities and the "Dual" Critical Densities for Continuum Percolation on $|mathbb{R}^2$

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Cited by 54 publications
(40 citation statements)
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“…A milestone within percolation theory was reached in 1980 with Kesten's proof that the thresholds for the existence of an infinite primal and an infinite dual component coincide [5]. Analogous results have since been obtained for models of percolation in the continuum of R 2 , such as Poisson Boolean percolation with bounded radii [8] and Poisson Voronoi percolation [2]. In our previous work [1], we characterized the phase transition of the 2 dimensional Poisson Boolean model in terms of crossing probabilities.…”
Section: Introductionmentioning
confidence: 90%
“…A milestone within percolation theory was reached in 1980 with Kesten's proof that the thresholds for the existence of an infinite primal and an infinite dual component coincide [5]. Analogous results have since been obtained for models of percolation in the continuum of R 2 , such as Poisson Boolean percolation with bounded radii [8] and Poisson Voronoi percolation [2]. In our previous work [1], we characterized the phase transition of the 2 dimensional Poisson Boolean model in terms of crossing probabilities.…”
Section: Introductionmentioning
confidence: 90%
“…continuum percolation) can be defined by taking a Poisson set of points W C ]R2 of intensity I and letting W be the set of points in the plane at distance at most r from W. Here, r is the parameter of the modeL (Alternatively, one may fix r = 1, say, and let the intensity of the Poisson process be the parameter, but this is essentially the same, by scaling.) The RussoSeymour-Welsh theorem is known for this model [1], [77], but the critical value of the parameter has not been identified. A nice feature which the model shares with Voronoi percolation is invariance under rotations.…”
Section: Thus It Is Natural To Askmentioning
confidence: 97%
“…Finally, for a fixed L > 2R, as A 1" oo, So, by Harris' FKG inequality (see Roy [11] for a generalization which allows us to apply the inequality in our model), (a), (b) and (c) along with the preceding discussion, imply that for A > A0, some point in S(0, 0) is in an infinite occupied cluster with probability at least 1/2. Since, with positive probability, we can connect a ray in S(0, 0) to the ray ~0, we have, for ), > A0, ~0 is in an infinite occupied cluster with positive probability, i.e., A ~ A0 < oe.…”
Section: )~C < C~mentioning
confidence: 70%