$1$-independent percolation on $\mathbb{Z}^2 \times K_n$
Victor Falgas-Ravry, Vincent Pfenninger

TL;DR
This paper investigates the critical probability for 1-independent percolation on grid-structured graphs, establishing its limit for certain graph sequences and connecting it to longstanding open questions in percolation theory.
Contribution
It determines the limit of the 1-independent critical percolation probability on imes K_n as n approaches infinity, and extends results to weakly pseudorandom graphs, addressing a question posed by Balister and Bollobe1s.
Findings
The limit of p_{1,c}( imes K_n) as n 0.5358.
The limit remains the same for weakly pseudorandom graphs with certain degree conditions.
Results resolve a problem on long path emergence in imes K_n and discuss open problems in the field.
Abstract
A random graph model on a host graph H is said to be 1-independent if for every pair of vertex-disjoint subsets A,B of E(H), the state of edges (absent or present) in A is independent of the state of edges in B. For an infinite connected graph H, the 1-independent critical percolation probability is the infimum of the p in [0,1] such that every 1-independent random graph model on H in which each edge is present with probability at least p almost surely contains an infinite connected component. Balister and Bollob\'as observed in 2012 that is nonincreasing and tends to a limit in [1/2, 1] as d tends to infinity. They asked for the value of this limit. We make progress towards this question by showing that \[\lim_{n\rightarrow \infty}p_{1,c}(\mathbb{Z}^2\times K_n)=4-2\sqrt{3}=0.5358\ldots \ .\] In fact, we show that the equality above remains true…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
