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Rapid Mixing from Spectral Independence beyond the Boolean Domain

Weiming Feng, Heng Guo, Yitong Yin, Chihao Zhang

2021Year
18Citations
25Top-tier citations

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 q-colourings mixes in polynomial-time for the family of triangle-free graphs with maximum degree ∆ provided q ≥ (α * + δ )∆ where α * ≈ 1.763 is the unique solution to α * = exp (1/α * ) and δ > 0 is any constant. This is the first efficient algorithm for sampling proper q-colourings in this regime with possibly unbounded ∆. Our main tool of establishing spectral independence is the recursive coupling by Goldberg, Martin, and Paterson [GMP05].

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