低温Sherrington–Kirkpatrick自由能的极限律

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OpenAI论文 / 概率与统计 · 2026-09-24

低温Sherrington–Kirkpatrick自由能的极限律

The low-temperature Sherrington–Kirkpatrick free-energy limiting law

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Gaussian Ising Sherrington–Kirkpatrick模型的自由能涨落。作者声称:对每个固定逆温度β>1,当系统规模沿所有整数趋于无穷时,自由能减去其期望再除以其标准差,依分布收敛到非退化极限律;并证明其方差除以n^{1/3}收敛到有限正常数。该结果刻画低温自旋玻璃自由能的精细涨落尺度,属概率论与统计物理交叉研究。

AI 产生的研究手稿;收录不表示已完成独立审查或同行评议。

英文原始摘要

For every fixed inverse temperature β > 1, we prove that the zero-field Gaussian Ising Sherrington–Kirkpatrick free energy, centered by its expectation and divided by its standard deviation, converges in distribution to a nondegenerate law as the system size tends to infinity through all integers. We also prove that its variance divided by n1/3 converges to a finite positive constant.

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