Abstract

We study the connectivity of random subgraphs of the $d$-dimensional Hamming graph $H(d, n)$, which is the Cartesian product of $d$ complete graphs on $n$ vertices. We sample the random subgraph with an i.i.d. Bernoulli bond percolation on $H(d,n)$ with parameter $p$. We identify the window of the transition: when $ np- \log n \to - \infty $ the probability that the graph is connected tends to $0$, while when $ np- \log n \to + \infty $ it converges to $1$. We also investigate the connectivity probability inside the critical window, namely when $ np- \log n \to t \in \mathbb{R} $. We find that the threshold does not depend on $d$, unlike the phase transition of the giant connected component of the Hamming graph (see [1]). Within the critical window, the connectivity probability does depend on $d$. We determine how.

Highlights

  • We study the connectivity of random subgraphs of the d-dimensional Hamming graph H(d, n), which is the Cartesian product of d complete graphs on n vertices

  • We find that the threshold does not depend on d, unlike the phase transition of the giant connected component of the Hamming graph

  • In this paper we investigate the random edge subgraph of d−dimensional Hamming graphs

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Summary

Introduction

In this paper we investigate the random edge subgraph of d−dimensional Hamming graphs. Hamming graphs are defined as follows: Definition 1.1 (Hamming graph). We define the d−dimensional Hamming graph H(d, n) as the graph with vertex set. We study a percolation model on the Hamming graph. The analogous problem was first solved for the Erdos-Rényi Random Graph (ERRG) in [3]. [5, Section 5.3]), but we find that at places the internal geometry of the Hamming graph plays an important role. To overcome this difficulty we use an induction on the dimension d and an exploration of the graph

Main results
Related literature
Poisson convergence of isolated vertices
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