Cutoff throughout the high-temperature Sherrington–Kirkpatrick phase
Recorded by the registry's curators from GitHub; the authors did not submit it here.
OpenAI
We prove worst-case total-variation cutoff for the zero-field Gaussian Sherrington--Kirkpatrick heat-bath dynamics at every fixed inverse temperature \(0\leq\beta<1\). With rate-one refresh at each spin, the cutoff location is \(\log n/(2\lambda(\beta))\) for a positive deterministic rate \(\lambda(\beta)\). The location for uniformly chosen single-site update attempts is \(n\) times as large. Convergence is in probability over the disorder.
Claims
PARTIALLY RESOLVED
OP-00033 — Fast mixing of Glauber dynamics for the SK model up to β = 1
Files and sources
- Paper
- math @ fd4aeeb, build/paper.tex ↗
- Posted on GitHub
- 6 October 2026
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