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July, 1995 Percolation of Arbitrary Words in $\{0, 1\}^\mathbb{N}$
Itai Benjamini, Harry Kesten
Ann. Probab. 23(3): 1024-1060 (July, 1995). DOI: 10.1214/aop/1176988173

Abstract

Let $\mathscr{G}$ be a (possibly directed) locally finite graph with countably infinite vertex set $\mathfrak{V}$. Let $\{X(v): v \in \mathfrak{V}\}$ be an i.i.d. family of random variables with $P\{X(v) = 1\} = 1 - P\{X(v) = 0\} = p$. Finally, let $\xi = (\xi_1, \xi_2,\ldots)$ be a generic element of $\{0, 1\}^{\mathbb{N}}$; such a $\xi$ is called a word. We say that the word $\xi$ is seen from the vertex $v$ if there exists a self-avoiding path $(v, v_1, v_2, \ldots)$ on $\mathscr{G}$ starting at $v$ and such that $X(v_i) = \xi_i$ for $i \geq 1$. The traditional problem in (site) percolation is whether $P\{(1, 1, 1, \ldots)$ is seen from $v\} > 0$. So-called $AB$-percolation occurs if $P\{(1, 0, 1, 0, 1, 0,\ldots)$ is seen from $v\} > 0$. Here we investigate (a) whether $P\{$all words are seen from $v\} = 1$. We show that both answers are positive if $\mathscr{G} = \mathbb{Z}^d$, or even $\mathbb{Z}^d_+$ with all edges oriented in the "positive direction," when $d$ is sufficiently large. We show that on the oriented $\mathbb{Z}^3_+$ the answer to (a) is negative, but we do not know the answer to (b) on $\mathbb{Z}^3_+$. Various graphs $\mathscr{G}$ are constructed (almost all of them trees) for which the set of words $\xi$ which can be seen from a given $v$ (or from some $v$) is large, even though it is w.p.1 not the set of all words.

Citation

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Itai Benjamini. Harry Kesten. "Percolation of Arbitrary Words in $\{0, 1\}^\mathbb{N}$." Ann. Probab. 23 (3) 1024 - 1060, July, 1995. https://doi.org/10.1214/aop/1176988173

Information

Published: July, 1995
First available in Project Euclid: 19 April 2007

zbMATH: 0832.60095
MathSciNet: MR1349161
Digital Object Identifier: 10.1214/aop/1176988173

Subjects:
Primary: 60K35

Keywords: Graphs , Oriented percolation , percolation , trees , words

Rights: Copyright © 1995 Institute of Mathematical Statistics

Vol.23 • No. 3 • July, 1995
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