{ "id": "1711.08815", "version": "v1", "published": "2017-11-23T19:44:18.000Z", "updated": "2017-11-23T19:44:18.000Z", "title": "Positive association of the oriented percolation cluster in randomly oriented graphs", "authors": [ "François Bienvenu" ], "categories": [ "math.PR", "math.CO" ], "abstract": "Consider any fixed graph whose edges have been randomly and independently oriented, and write $\\{S \\leadsto i\\}$ to indicate that there is an oriented path going from a vertex $s \\in S$ to vertex $i$. Narayanan (2016) proved that for any set $S$ and any two vertices $i$ and $j$, $\\{S \\leadsto i\\}$ and $\\{S \\leadsto j\\}$ are positively correlated. His proof relies on the Ahlswede-Daykin inequality, a rather advanced tool of probabilistic combinatorics. In this short note, I give an elementary proof of the following, stronger result: writing $V$ for the vertex set of the graph, for any source set $S$, the events $\\{S \\leadsto i\\}$, $i \\in V$, are positively associated -- meaning that the expectation of the product of increasing functionals of the family $\\{S \\leadsto i\\}$ for $i \\in V$ is greater than the product of their expectations. To show how this result can be used in concrete calculations, I also detail the example of percolation from the leaves of the randomly oriented complete binary tree of height $n$. Positive association makes it possible to use the Stein--Chen method to find conditions for the size of the percolation cluster to be Poissonian in the limit as $n$ goes to infinity.", "revisions": [ { "version": "v1", "updated": "2017-11-23T19:44:18.000Z" } ], "analyses": { "subjects": [ "60C05", "60K35", "82B43", "05C05" ], "keywords": [ "oriented percolation cluster", "randomly oriented graphs", "positive association", "randomly oriented complete binary tree", "proof relies" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable" } } }