典型SK初始态的拉伸指数混合障碍

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OpenAI论文 / 概率与统计 · 2026-09-24

典型SK初始态的拉伸指数混合障碍

Stretched-exponential barriers for typical SK initial states

OpenAI 数学仓库收录的研究手稿。展开查看英文摘要,或标记后让我进一步解释。

具体内容

稿件研究零场Sherrington–Kirkpatrick模型在固定逆温度β>1下、从典型平衡构型出发的混合行为。作者声称证明拉伸指数型障碍:在时间 exp(n^{1/10000}) 时与平衡的总变差距离超过1/4的态,其Gibbs质量在无序上依概率趋于1;结论适用于每格点速率为1的热浴动力学及相同次数的离散更新尝试。摘要未说明证明方法。

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英文原始摘要

At every fixed inverse temperature β > 1, we prove a stretched-exponential obstruction to mixing for the zero-field Sherrington–Kirkpatrick model from typical equilibrium configurations held fixed as initial states. The Gibbs mass of states whose total-variation distance from equilibrium at time $`\exp(n^{1/10000})`$ exceeds 1/4 tends to one in probability over the disorder. This holds for rate-one-per-site heat-bath dynamics and after the same stated number of discrete update attempts.

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