English

Local algorithms for independent sets are half-optimal

Probability 2019-11-05 v2 Distributed, Parallel, and Cluster Computing Combinatorics

Abstract

We show that the largest density of factor of i.i.d. independent sets on the d-regular tree is asymptotically at most (log d)/d as d tends to infinity. This matches the lower bound given by previous constructions. It follows that the largest independent sets given by local algorithms on random d-regular graphs have the same asymptotic density. In contrast, the density of the largest independent sets on these graphs is asymptotically 2(log d)/d. We also prove analogous results for Poisson-Galton-Watson trees, which yield bounds for local algorithms on sparse Erdos-Renyi graphs.

Keywords

Cite

@article{arxiv.1402.0485,
  title  = {Local algorithms for independent sets are half-optimal},
  author = {Mustazee Rahman and Balint Virag},
  journal= {arXiv preprint arXiv:1402.0485},
  year   = {2019}
}

Comments

Exposition has been clarified in the new version

R2 v1 2026-06-22T03:00:10.160Z