Fast Mixing in Ising Models with Negative Spectral Outlier
Research Paper#Statistical Physics, Markov Chain Monte Carlo, Ising Model, Mixing Time🔬 Research|Analyzed: Jan 3, 2026 19:34•
Published: Dec 28, 2025 06:28
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•ArXivAnalysis
This paper addresses the challenge of analyzing the mixing time of Glauber dynamics for Ising models when the interaction matrix has a negative spectral outlier, a situation where existing methods often fail. The authors introduce a novel Gaussian approximation method, leveraging Stein's method, to control the correlation structure and derive near-optimal mixing time bounds. They also provide lower bounds on mixing time for specific anti-ferromagnetic Ising models.
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View Original"The paper develops a new covariance approximation method based on Gaussian approximation, implemented via an iterative application of Stein's method."