Rapid Mixing for Colorings via Spectral Independence
Zongchen Chen, Andreas Galanis, Daniel Stefankovic, Eric Vigoda
摘要
The spectral independence approach of Anari et al. (2020) utilized recent results on high-dimensional expanders of Alev and Lau (2020) and established rapid mixing of the Glauber dynamics for the hardcore model defined on weighted independent sets. We develop the spectral independence approach for colorings, and obtain new algorithmic results for the corresponding counting/sampling problems.
Let α * ≈ 1.763 denote the solution to exp(1/x) = x and let α > α * . We prove that, for any trianglefree graph G = (V, E) with maximum degree ∆, for all q ≥ α∆ + 1, the mixing time of the Glauber dynamics for q-colorings is polynomial in n = |V |, with the exponent of the polynomial independent of ∆ and q. In comparison, previous approximate counting results for colorings held for a similar range of q (asymptotically in ∆) but with larger girth requirement or with a running time where the polynomial exponent depended on ∆ and q (exponentially). One further feature of using the spectral independence approach to study colorings is that it avoids many of the technical complications in previous approaches caused by coupling arguments or by passing to the complex plane; the key improvement on the running time is based on relatively simple combinatorial arguments which are then translated into spectral bounds.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper21
- Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore ModelNima Anari, Kuikui Liu, Shayan Oveis GharanFOCS 2020 · 被引用 97 次
- Optimal mixing of Glauber dynamics: entropy factorization via high-dimensional expansionZongchen Chen, Kuikui Liu, Eric VigodaSTOC 2021 · 被引用 61 次
- On Mixing of Markov Chains: Coupling, Spectral Independence, and Entropy FactorizationAntonio Blanca, Pietro Caputo, Zongchen Chen, Daniel Parisi 等SODA 2022 · 被引用 41 次
- Entropic independence: optimal mixing of down-up random walksNima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham 等STOC 2022 · 被引用 21 次
- Hypercontractivity on high dimensional expandersMitali Bafna, Max Hopkins, Tali Kaufman, Shachar LovettSTOC 2022 · 被引用 20 次
它引用的顶会 Paper3
- Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore ModelNima Anari, Kuikui Liu, Shayan Oveis GharanFOCS 2020 · 被引用 97 次
- Rapid Mixing of Glauber Dynamics up to Uniqueness via ContractionZongchen Chen, Kuikui Liu, Eric VigodaFOCS 2020 · 被引用 38 次
- Improved analysis of higher order random walks and applicationsVedat Levi Alev, Lap Chi LauSTOC 2020 · 被引用 6 次
相关 Paper
- Rapid Mixing from Spectral Independence beyond the Boolean DomainWeiming Feng, Heng Guo, Yitong Yin, Chihao ZhangSODA 2021 · 被引用 18 次
- Rapid mixing of Glauber dynamics via spectral independence for all degreesXiaoyu Chen, Weiming Feng, Yitong Yin, Xinyuan ZhangFOCS 2021 · 被引用 16 次
- On sampling two spin models using the local connective constantCharilaos EfthymiouSODA 2026
- Flip Dynamics for Sampling Colorings: Improving (11/6 - ε) Using A Simple MetricCharlie Carlson, Eric VigodaSODA 2025 · 被引用 2 次
- Fast Sampling of b-Matchings and b-Edge CoversZongchen Chen, Yuzhou GuSODA 2024 · 被引用 5 次
