English

Broadcasting in random recursive dags

Machine Learning 2025-02-05 v3 Machine Learning Social and Information Networks

Abstract

A uniform kk-{\sc dag} generalizes the uniform random recursive tree by picking kk parents uniformly at random from the existing nodes. It starts with kk ''roots''. Each of the kk roots is assigned a bit. These bits are propagated by a noisy channel. The parents' bits are flipped with probability pp, and a majority vote is taken. When all nodes have received their bits, the kk-{\sc dag} is shown without identifying the roots. The goal is to estimate the majority bit among the roots. We identify the threshold for pp as a function of kk below which the majority rule among all nodes yields an error c+o(1)c+o(1) with c<1/2c<1/2. Above the threshold the majority rule errs with probability 1/2+o(1)1/2+o(1).

Cite

@article{arxiv.2306.01727,
  title  = {Broadcasting in random recursive dags},
  author = {Simon Briend and Luc Devroye and Gabor Lugosi},
  journal= {arXiv preprint arXiv:2306.01727},
  year   = {2025}
}