Fast Convergence to Unanimity in Dense Erdős-Rényi Graphs

October 12, 2022 · Declared Dead · 🏛 arXiv.org

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Authors Ran Tamir arXiv ID 2210.05992 Category cs.DS: Data Structures & Algorithms Cross-listed cs.DC, cs.DM, math.PR Citations 3 Venue arXiv.org Last Checked 4 months ago
Abstract
Majority dynamics on the binomial Erdős-Rényi graph $\mathsf{G}(n,p)$ with $p=λ/\sqrt{n}$ is studied. In this process, each vertex has a state in $\{0,1\}$ and at each round, every vertex adopts the state of the majority of its neighbors, retaining its state in the case of a tie. It was conjectured by Benjamini et al. and proved by Fountoulakis et al. that this process reaches unanimity with high probability in at most four rounds. By adding some extra randomness and allowing the underlying graph to be drawn anew in each communication round, we improve on their result and prove that this process reaches consensus in only three communication rounds with probability approaching $1$ as $n$ grows to infinity. We also provide a converse result, showing that three rounds are not only sufficient, but also necessary.
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