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Random interlacements on transient weighted graphs: 0-1 laws and FKG inequality

Orphée Collin

Abstract

We study some properties of the random interlacement model on a transient weighted graph, which was introduced by A. Teixeira in ["Interlacement percolation on transient weighted graphs", Augusto Teixeira, Electronic Journal of Probability (2009)]. We give a simple proof of the FKG-property and discuss the occurrence of several 0-1 laws for non-local events. We show in particular a 0-1 law for some increasing non-local events, without any assumption.

Random interlacements on transient weighted graphs: 0-1 laws and FKG inequality

Abstract

We study some properties of the random interlacement model on a transient weighted graph, which was introduced by A. Teixeira in ["Interlacement percolation on transient weighted graphs", Augusto Teixeira, Electronic Journal of Probability (2009)]. We give a simple proof of the FKG-property and discuss the occurrence of several 0-1 laws for non-local events. We show in particular a 0-1 law for some increasing non-local events, without any assumption.
Paper Structure (25 sections, 17 theorems, 109 equations)

This paper contains 25 sections, 17 theorems, 109 equations.

Key Result

Lemma 2

Let $(\mathcal{X},\mathcal{F} , \le)$ and $(\mathcal{Y}, \mathcal{G} , \le)$ be two mesurable spaces, equiped with orders. Let $X$ be an $\mathcal{X}$-valued random variable and let $f:\mathcal{X} \to \mathcal{Y}$ be a measurable and non-decreasing function. If $X$ satifies the FKG inequality, then

Theorems & Definitions (42)

  • Remark 1
  • Lemma 2
  • Theorem 3
  • proof
  • Example 4
  • Theorem 5
  • Theorem 6
  • Remark 7
  • Theorem 8
  • Remark 9
  • ...and 32 more