English

Rapid mixing from spectral independence beyond the Boolean domain

Data Structures and Algorithms 2020-07-17 v1 Probability

Abstract

We extend the notion of spectral independence (introduced by Anari, Liu, and Oveis Gharan [ALO20]) from the Boolean domain to general discrete domains. This property characterises distributions with limited correlations, and implies that the corresponding Glauber dynamics is rapidly mixing. As a concrete application, we show that Glauber dynamics for sampling proper qq-colourings mixes in polynomial-time for the family of triangle-free graphs with maximum degree Δ\Delta provided q(α+δ)Δq\ge (\alpha^*+\delta)\Delta where α1.763\alpha^*\approx 1.763 is the unique solution to α=exp(1/α)\alpha^*=\exp(1/\alpha^*) and δ>0\delta>0 is any constant. This is the first efficient algorithm for sampling proper qq-colourings in this regime with possibly unbounded Δ\Delta. Our main tool of establishing spectral independence is the recursive coupling by Goldberg, Martin, and Paterson [GMP05].

Cite

@article{arxiv.2007.08091,
  title  = {Rapid mixing from spectral independence beyond the Boolean domain},
  author = {Weiming Feng and Heng Guo and Yitong Yin and Chihao Zhang},
  journal= {arXiv preprint arXiv:2007.08091},
  year   = {2020}
}
R2 v1 2026-06-23T17:09:26.081Z