将边界电流同步解释为麦克斯韦恶魔

Yuki Yasuda, Tsubasa Kohyama
{"title":"将边界电流同步解释为麦克斯韦恶魔","authors":"Yuki Yasuda, Tsubasa Kohyama","doi":"arxiv-2408.01133","DOIUrl":null,"url":null,"abstract":"This study has applied information thermodynamics to a bivariate linear\nstochastic differential equation (SDE) that describes a synchronization\nphenomenon of sea surface temperatures (SSTs) between the Gulf Stream and the\nKuroshio Current, which is referred to as the boundary current synchronization\n(BCS). Information thermodynamics divides the entire system fluctuating with\nstochastic noise into subsystems and describes the interactions between these\nsubsystems from the perspective of information transfer. The SDE coefficients\nhave been estimated through regression analysis using observational and\nnumerical simulation data. In the absence of stochastic noise, the solution of\nthe estimated SDE shows that the SSTs relax toward zero without oscillating.\nThe estimated SDE can be interpreted as a Maxwell's demon system, with the Gulf\nStream playing the role of the \"Particle\" and the Kuroshio Current playing the\nrole of the \"Demon.\" This interpretation gives the asymmetric roles of both\nocean currents. The Gulf Stream forces the SST of the Kuroshio Current to be in\nphase. By contrast, the Kuroshio Current maintains the phase by interfering\nwith the relaxation of the Gulf Stream SST. In the framework of Maxwell's\ndemon, the Gulf Stream is interpreted as being measured by the Kuroshio\nCurrent, whereas the Kuroshio Current is interpreted as performing feedback\ncontrol on the Gulf Stream. When the Gulf Stream and the Kuroshio Current are\ncoupled in an appropriate parameter regime, synchronization is realized with\natmospheric and oceanic noise as the driving source.","PeriodicalId":501166,"journal":{"name":"arXiv - PHYS - Atmospheric and Oceanic Physics","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interpretation of the Boundary Current Synchronization as a Maxwell's Demon\",\"authors\":\"Yuki Yasuda, Tsubasa Kohyama\",\"doi\":\"arxiv-2408.01133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study has applied information thermodynamics to a bivariate linear\\nstochastic differential equation (SDE) that describes a synchronization\\nphenomenon of sea surface temperatures (SSTs) between the Gulf Stream and the\\nKuroshio Current, which is referred to as the boundary current synchronization\\n(BCS). Information thermodynamics divides the entire system fluctuating with\\nstochastic noise into subsystems and describes the interactions between these\\nsubsystems from the perspective of information transfer. The SDE coefficients\\nhave been estimated through regression analysis using observational and\\nnumerical simulation data. In the absence of stochastic noise, the solution of\\nthe estimated SDE shows that the SSTs relax toward zero without oscillating.\\nThe estimated SDE can be interpreted as a Maxwell's demon system, with the Gulf\\nStream playing the role of the \\\"Particle\\\" and the Kuroshio Current playing the\\nrole of the \\\"Demon.\\\" This interpretation gives the asymmetric roles of both\\nocean currents. The Gulf Stream forces the SST of the Kuroshio Current to be in\\nphase. By contrast, the Kuroshio Current maintains the phase by interfering\\nwith the relaxation of the Gulf Stream SST. In the framework of Maxwell's\\ndemon, the Gulf Stream is interpreted as being measured by the Kuroshio\\nCurrent, whereas the Kuroshio Current is interpreted as performing feedback\\ncontrol on the Gulf Stream. When the Gulf Stream and the Kuroshio Current are\\ncoupled in an appropriate parameter regime, synchronization is realized with\\natmospheric and oceanic noise as the driving source.\",\"PeriodicalId\":501166,\"journal\":{\"name\":\"arXiv - PHYS - Atmospheric and Oceanic Physics\",\"volume\":\"32 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Atmospheric and Oceanic Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.01133\",\"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 - Atmospheric and Oceanic Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.01133","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

本研究将信息热力学应用于描述湾流与黑潮之间海面温度同步现象的双变量线性随机微分方程(SDE),该现象被称为边界流同步(BCS)。信息热力学将随随机噪声波动的整个系统划分为若干子系统,并从信息传递的角度描述子系统之间的相互作用。利用观测数据和数值模拟数据,通过回归分析估算出 SDE 系数。在没有随机噪声的情况下,估计的 SDE 的解表明,SST 向零松弛,没有振荡。估计的 SDE 可以解释为麦克斯韦魔鬼系统,湾流扮演 "粒子 "角色,黑潮扮演 "魔鬼 "角色。这种解释给出了两种洋流的不对称作用。湾流迫使黑潮的 SST 处于同相状态。与此相反,黑潮通过干扰湾流 SST 的松弛来维持相位。在麦克斯韦妖框架中,湾流被解释为由黑潮测量,而黑潮则被解释为对湾流进行反馈控制。当湾流和黑潮在适当的参数机制下耦合时,以大气和海洋噪声为驱动源,可实现同步。
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
Interpretation of the Boundary Current Synchronization as a Maxwell's Demon
This study has applied information thermodynamics to a bivariate linear stochastic differential equation (SDE) that describes a synchronization phenomenon of sea surface temperatures (SSTs) between the Gulf Stream and the Kuroshio Current, which is referred to as the boundary current synchronization (BCS). Information thermodynamics divides the entire system fluctuating with stochastic noise into subsystems and describes the interactions between these subsystems from the perspective of information transfer. The SDE coefficients have been estimated through regression analysis using observational and numerical simulation data. In the absence of stochastic noise, the solution of the estimated SDE shows that the SSTs relax toward zero without oscillating. The estimated SDE can be interpreted as a Maxwell's demon system, with the Gulf Stream playing the role of the "Particle" and the Kuroshio Current playing the role of the "Demon." This interpretation gives the asymmetric roles of both ocean currents. The Gulf Stream forces the SST of the Kuroshio Current to be in phase. By contrast, the Kuroshio Current maintains the phase by interfering with the relaxation of the Gulf Stream SST. In the framework of Maxwell's demon, the Gulf Stream is interpreted as being measured by the Kuroshio Current, whereas the Kuroshio Current is interpreted as performing feedback control on the Gulf Stream. When the Gulf Stream and the Kuroshio Current are coupled in an appropriate parameter regime, synchronization is realized with atmospheric and oceanic noise as the driving source.
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
Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river Super Resolution On Global Weather Forecasts Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability? Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data
×
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