Preprint in the OpenAI Math release
Critical slowing down in the Sherrington–Kirkpatrick model
OpenAI
Abstract
At the critical inverse temperature β = 1, we prove slow mixing for zero-field Gaussian Sherrington–Kirkpatrick heat-bath dynamics from typical equilibrium configurations held fixed as initial states. For every deterministic sequence in rate-one-per-site time, the Gibbs mass of initial states whose time-t total-variation distance from equilibrium exceeds 1/4 tends to one in probability over the disorder. The same statement holds for every deterministic integer sequence of uniform-site update attempts.
open until 1 Jan 2028
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