{"title":"为准确计算节奏时空动态的相位而设置波因卡雷截面","authors":"Takahiro Arai, Yoji Kawamura, Toshio Aoyagi","doi":"arxiv-2407.16080","DOIUrl":null,"url":null,"abstract":"The synchronization analysis of limit-cycle oscillators is prevalent in many\nfields, including physics, chemistry, and life sciences. It relies on the phase\ncalculation that utilizes measurements. However, the synchronization of\nspatiotemporal dynamics cannot be analyzed because a standardized method for\ncalculating the phase has not been established. The presence of spatial\nstructure complicates the determination of which measurements should be used\nfor accurate phase calculation. To address this, we explore a method for\ncalculating the phase from the time series of measurements taken at a single\nspatial grid point. The phase is calculated to increase linearly between event\ntimes when the measurement time series intersects the Poincar\\'e section. The\ndifference between the calculated phase and the isochron-based phase, resulting\nfrom the discrepancy between the isochron and the Poincar\\'e section, is\nevaluated using a linear approximation near the limit-cycle solution. We found\nthat the difference is small when measurements are taken from regions that\ndominate the rhythms of the entire spatiotemporal dynamics. Furthermore, we\ninvestigate an alternative method where the Poincar\\'e section is applied to\nthe time series obtained through orthogonal decomposition of the entire\nspatiotemporal dynamics. We present two decomposition schemes that utilize the\nprincipal component analysis. For illustration, the phase is calculated from\nthe measurements of spatiotemporal dynamics exhibiting target waves or\noscillating spots, simulated by weakly coupled FitzHugh-Nagumo\nreaction-diffusion models.","PeriodicalId":501065,"journal":{"name":"arXiv - PHYS - Data Analysis, Statistics and Probability","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Setting of the Poincaré section for accurately calculating the phase of rhythmic spatiotemporal dynamics\",\"authors\":\"Takahiro Arai, Yoji Kawamura, Toshio Aoyagi\",\"doi\":\"arxiv-2407.16080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The synchronization analysis of limit-cycle oscillators is prevalent in many\\nfields, including physics, chemistry, and life sciences. It relies on the phase\\ncalculation that utilizes measurements. However, the synchronization of\\nspatiotemporal dynamics cannot be analyzed because a standardized method for\\ncalculating the phase has not been established. The presence of spatial\\nstructure complicates the determination of which measurements should be used\\nfor accurate phase calculation. To address this, we explore a method for\\ncalculating the phase from the time series of measurements taken at a single\\nspatial grid point. The phase is calculated to increase linearly between event\\ntimes when the measurement time series intersects the Poincar\\\\'e section. The\\ndifference between the calculated phase and the isochron-based phase, resulting\\nfrom the discrepancy between the isochron and the Poincar\\\\'e section, is\\nevaluated using a linear approximation near the limit-cycle solution. We found\\nthat the difference is small when measurements are taken from regions that\\ndominate the rhythms of the entire spatiotemporal dynamics. Furthermore, we\\ninvestigate an alternative method where the Poincar\\\\'e section is applied to\\nthe time series obtained through orthogonal decomposition of the entire\\nspatiotemporal dynamics. We present two decomposition schemes that utilize the\\nprincipal component analysis. For illustration, the phase is calculated from\\nthe measurements of spatiotemporal dynamics exhibiting target waves or\\noscillating spots, simulated by weakly coupled FitzHugh-Nagumo\\nreaction-diffusion models.\",\"PeriodicalId\":501065,\"journal\":{\"name\":\"arXiv - PHYS - Data Analysis, Statistics and Probability\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Data Analysis, Statistics and Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.16080\",\"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 - Data Analysis, Statistics and Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.16080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Setting of the Poincaré section for accurately calculating the phase of rhythmic spatiotemporal dynamics
The synchronization analysis of limit-cycle oscillators is prevalent in many
fields, including physics, chemistry, and life sciences. It relies on the phase
calculation that utilizes measurements. However, the synchronization of
spatiotemporal dynamics cannot be analyzed because a standardized method for
calculating the phase has not been established. The presence of spatial
structure complicates the determination of which measurements should be used
for accurate phase calculation. To address this, we explore a method for
calculating the phase from the time series of measurements taken at a single
spatial grid point. The phase is calculated to increase linearly between event
times when the measurement time series intersects the Poincar\'e section. The
difference between the calculated phase and the isochron-based phase, resulting
from the discrepancy between the isochron and the Poincar\'e section, is
evaluated using a linear approximation near the limit-cycle solution. We found
that the difference is small when measurements are taken from regions that
dominate the rhythms of the entire spatiotemporal dynamics. Furthermore, we
investigate an alternative method where the Poincar\'e section is applied to
the time series obtained through orthogonal decomposition of the entire
spatiotemporal dynamics. We present two decomposition schemes that utilize the
principal component analysis. For illustration, the phase is calculated from
the measurements of spatiotemporal dynamics exhibiting target waves or
oscillating spots, simulated by weakly coupled FitzHugh-Nagumo
reaction-diffusion models.