scholarly journals Coalescing directed random walks on the backbone of a 1+1-dimensional oriented percolation cluster converge to the Brownian web

Author(s):  
Matthias Birkner ◽  
Nina Gantert ◽  
Sebastian Steiber
2013 ◽  
Vol 18 (0) ◽  
Author(s):  
Matthias Birkner ◽  
Jiri Cerny ◽  
Andrej Depperschmidt ◽  
Nina Gantert

2019 ◽  
Vol 28 (06) ◽  
pp. 811-815
Author(s):  
François Bienvenu

AbstractConsider any fixed graph whose edges have been randomly and independently oriented, and write {S ⇝} to indicate that there is an oriented path going from a vertex s ∊ S to vertex i. Narayanan (2016) proved that for any set S and any two vertices i and j, {S ⇝ i} and {S ⇝ 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 ⇝ i}, i ∊ V, are positively associated, meaning that the expectation of the product of increasing functionals of the family {S ⇝ i} for i ∊ V is greater than the product of their expectations.


Author(s):  
P Mathieu ◽  
A Piatnitski

We consider a supercritical Bernoulli percolation model in , d ≥2, and study the simple symmetric random walk on the infinite percolation cluster. The aim of this paper is to prove the almost sure (quenched) invariance principle for this random walk.


Author(s):  
Mikhail Menshikov ◽  
Serguei Popov ◽  
Andrew Wade
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