English

Rapid Mixing of Hypergraph Independent Set

Probability 2019-12-25 v2 Computational Complexity

Abstract

We prove that the the mixing time of the Glauber dynamics for sampling independent sets on nn-vertex kk-uniform hypergraphs is O(nlogn)O(n\log n) when the maximum degree Δ\Delta satisfies Δc2k/2\Delta \leq c 2^{k/2}, improving on the previous bound [BDK06] of Δk2\Delta \leq k-2. This result brings the algorithmic bound to within a constant factor of the hardness bound of [BGG+16] which showed that it is NP-hard to approximately count independent sets on hypergraphs when Δ52k/2\Delta \geq 5 \cdot 2^{k/2}.

Keywords

Cite

@article{arxiv.1610.07999,
  title  = {Rapid Mixing of Hypergraph Independent Set},
  author = {Jonathan Hermon and Allan Sly and Yumeng Zhang},
  journal= {arXiv preprint arXiv:1610.07999},
  year   = {2019}
}

Comments

36 pages, 3 figures