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arXiv 2403.08503cond-mat.dis-nn
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自旋玻璃中的小场混沌:来自超度量树的普适性预测及与数值模拟的比较

Small field chaos in spin glasses: universal predictions from the ultrametric tree and comparison with numerical simulations

Miguel Aguilar-Janita, Silvio Franz, Victor Martin-Mayor, Javier Moreno-Gordo, Giorgio Parisi, Federico Ricci-Tersenghi, Juan J. Ruiz-Lorenzo

AI总结:

本文研究自旋玻璃在小磁场下的混沌行为,利用RSB理论证明其仅依赖零场重叠概率函数$P(q)$,并基于Bolthausen-Sznitman coalescent高效采样预测小场性质,数值模拟验证了该普适性预测。

摘要:

我们研究了自旋玻璃的Gibbs态在外加磁场下的混沌行为,研究区域为场强与$1/\sqrt{N}$成比例的交叉区域,其中$N$为系统尺寸。我们表明,Replica Symmetry Breaking (RSB) 理论对混沌行为提供了普适性预测:这些预测仅依赖于零场重叠概率函数$P(q)$,且独立于系统的其他特征。仅以$P(q)$作为输入,我们能够解析地定量预测小场下态的统计特性。在无穷体积极限下,每个自旋玻璃样本由无限个具有树状结构的态来表征。我们基于Bolthausen-Sznitman coalescent的表示,通过高效采样生成了相应的概率分布。由此,我们能够定量计算交叉区域中存在磁场时的性质、小场下的重叠概率分布,以及随场强增加的去相关程度。为了检验我们的计算,我们模拟了Bethe晶格自旋玻璃和4D Edwards-Anderson模型,发现两者均与普适性预测高度吻合。

英文摘要:

We study the chaotic behavior of the Gibbs state of spin-glasses under the application of an external magnetic field, in the crossover region where the field intensity scales proportional to $1/\sqrt{N}$, being $N$ the system size. We show that Replica Symmetry Breaking (RSB) theory provides universal predictions for chaotic behavior: they depend only on the zero-field overlap probability function $P(q)$ and are independent of other features of the system. Using solely $P(q)$ as input we can analytically predict quantitatively the statistics of the states in a small field. In the infinite volume limit, each spin-glass sample is characterized by an infinite number of states that have a tree-like structure. We generate the corresponding probability distribution through efficient sampling using a representation based on the Bolthausen-Sznitman coalescent. In this way, we can compute quantitatively properties in the presence of a magnetic field in the crossover region, the overlap probability distribution in the presence of a small field and the degree of decorrelation as the field is increased. To test our computations, we have simulated the Bethe lattice spin glass and the 4D Edwards-Anderson model, finding in both cases excellent agreement with the universal predictions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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