自旋玻璃中的小场混沌:超计量树的普遍预测以及与数值模拟的比较

Miguel Aguilar-Janita, Silvio Franz, Victor Martin-Mayor, Javier Moreno-Gordo, Giorgio Parisi, Federico Ricci-Tersenghi, Juan J. Ruiz-Lorenzo
{"title":"自旋玻璃中的小场混沌:超计量树的普遍预测以及与数值模拟的比较","authors":"Miguel Aguilar-Janita, Silvio Franz, Victor Martin-Mayor, Javier Moreno-Gordo, Giorgio Parisi, Federico Ricci-Tersenghi, Juan J. Ruiz-Lorenzo","doi":"arxiv-2403.08503","DOIUrl":null,"url":null,"abstract":"We study the chaotic behavior of the Gibbs state of spin-glasses under the\napplication of an external magnetic field, in the crossover region where the\nfield intensity scales proportional to $1/\\sqrt{N}$, being $N$ the system size.\nWe show that Replica Symmetry Breaking (RSB) theory provides universal\npredictions for chaotic behavior: they depend only on the zero-field overlap\nprobability function $P(q)$ and are independent of other features of the\nsystem. Using solely $P(q)$ as input we can analytically predict quantitatively\nthe statistics of the states in a small field. In the infinite volume limit,\neach spin-glass sample is characterized by an infinite number of states that\nhave a tree-like structure. We generate the corresponding probability\ndistribution through efficient sampling using a representation based on the\nBolthausen-Snitmann coalescent. In this way, we can compute quantitatively\nproperties in the presence of a magnetic field in the crossover region, the\noverlap probability distribution in the presence of a small field and the\ndegree of decorrelation as the field is increased. To test our computations, we\nhave simulated the Bethe lattice spin glass and the 4D Edwards-Anderson model,\nfinding in both cases excellent agreement with the universal predictions.","PeriodicalId":501066,"journal":{"name":"arXiv - PHYS - Disordered Systems and Neural Networks","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Small field chaos in spin glasses: universal predictions from the ultrametric tree and comparison with numerical simulations\",\"authors\":\"Miguel Aguilar-Janita, Silvio Franz, Victor Martin-Mayor, Javier Moreno-Gordo, Giorgio Parisi, Federico Ricci-Tersenghi, Juan J. Ruiz-Lorenzo\",\"doi\":\"arxiv-2403.08503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the chaotic behavior of the Gibbs state of spin-glasses under the\\napplication of an external magnetic field, in the crossover region where the\\nfield intensity scales proportional to $1/\\\\sqrt{N}$, being $N$ the system size.\\nWe show that Replica Symmetry Breaking (RSB) theory provides universal\\npredictions for chaotic behavior: they depend only on the zero-field overlap\\nprobability function $P(q)$ and are independent of other features of the\\nsystem. Using solely $P(q)$ as input we can analytically predict quantitatively\\nthe statistics of the states in a small field. In the infinite volume limit,\\neach spin-glass sample is characterized by an infinite number of states that\\nhave a tree-like structure. We generate the corresponding probability\\ndistribution through efficient sampling using a representation based on the\\nBolthausen-Snitmann coalescent. In this way, we can compute quantitatively\\nproperties in the presence of a magnetic field in the crossover region, the\\noverlap probability distribution in the presence of a small field and the\\ndegree of decorrelation as the field is increased. To test our computations, we\\nhave simulated the Bethe lattice spin glass and the 4D Edwards-Anderson model,\\nfinding in both cases excellent agreement with the universal predictions.\",\"PeriodicalId\":501066,\"journal\":{\"name\":\"arXiv - PHYS - Disordered Systems and Neural Networks\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Disordered Systems and Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2403.08503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Disordered Systems and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.08503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们研究了自旋玻璃在外加磁场作用下的吉布斯态的混沌行为,在交叉区域,磁场强度的尺度与1/\sqrt{N}$($N$为系统大小)成正比。我们的研究表明,复制对称性破坏(RSB)理论提供了混沌行为的普遍预测:它们只依赖于零磁场重叠概率函数$P(q)$,而与系统的其他特征无关。仅使用$P(q)$作为输入,我们就能定量地分析预测小场中的状态统计。在无限体积极限中,每个自旋玻璃样品都有无数个具有树状结构的状态。我们使用基于波尔索森-斯尼特曼凝聚的表示方法,通过高效采样生成相应的概率分布。通过这种方法,我们可以定量计算交叉区域存在磁场时的特性、存在小磁场时的重叠概率分布以及随着磁场增大的去相关度。为了检验我们的计算结果,我们模拟了贝特晶格自旋玻璃和 4D 爱德华-安德森模型,发现这两种情况都与普遍预测非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Small field chaos in spin glasses: universal predictions from the ultrametric tree and comparison with numerical simulations
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-Snitmann 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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver? Trade-off relations between quantum coherence and measure of many-body localization Soft modes in vector spin glass models on sparse random graphs Boolean mean field spin glass model: rigorous results Generalized hetero-associative neural networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1