摘要翻译：
我们用解析方法计算了Sherrington-Kirkpatrick平均场模型的自旋玻璃自由能中大偏差的概率分布，即计算了找到一个强自由能小于最可能系统的指数小概率。这个结果是通过计算配分函数的平均值作为$N$的函数而得到的。在零温下，这一绝对预报与数值结果在定量上有很好的一致性。
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英文标题：
《Large Deviations in the Free-Energy of Mean-Field Spin-Glasses》
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作者：
Giorgio Parisi and Tommaso Rizzo
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Disordered Systems and Neural Networks        无序系统与神经网络
分类描述：Glasses and spin glasses; properties of random, aperiodic and quasiperiodic systems; transport in disordered media; localization; phenomena mediated by defects and disorder; neural networks
眼镜和旋转眼镜；随机、非周期和准周期系统的性质；无序介质中的传输；本地化；由缺陷和无序介导的现象；神经网络
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  We compute analytically the probability distribution of large deviations in the spin-glass free energy for the Sherrington-Kirkpatrick mean field model, i.e. we compute the exponentially small probability of finding a system with intensive free energy smaller than the most likely one. This result is obtained by computing the average value of the partition function to the power $n$ as a function of $n$. At zero temperature this absolute prediction displays a remarkable quantitative agreement with the numerical data.
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PDF链接：
https://arxiv.org/pdf/706.118