A simple proof of almost percolation on G(n;p)
Mihyun Kang, Tam\'as Makai

TL;DR
This paper provides a simplified proof for the near-percolation phenomenon in bootstrap percolation on random graphs, improving probability bounds with elementary martingale and giant component arguments.
Contribution
It offers a straightforward proof technique that strengthens existing probability bounds for bootstrap percolation on G(n,p).
Findings
Enhanced probability bounds for infected vertices.
Simplified proof approach using martingales.
Improved understanding of percolation thresholds.
Abstract
We consider bootstrap percolation on the binomial random graph with infection threshold , an infection process which starts from a set of initially infected vertices and in each step every vertex with at least infected neighbours becomes infected. We improve the results of Janson, \L uczak, Turova, and Valier (2012) by strengthening the probability bounds on the number of infected vertices at the end of the process, using simple arguments based on martingales and giant components.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Markov Chains and Monte Carlo Methods
