Setting of the Poincaré section for accurately calculating the phase of rhythmic spatiotemporal dynamics

Takahiro Arai, Yoji Kawamura, Toshio Aoyagi
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Abstract

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.
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为准确计算节奏时空动态的相位而设置波因卡雷截面
极限周期振荡器的同步分析在物理、化学和生命科学等许多领域都很普遍。它依赖于利用测量进行的相位计算。然而,由于尚未建立相位计算的标准化方法,因此无法分析时空动态的同步性。空间结构的存在使确定应使用哪些测量值来精确计算相位变得更加复杂。为了解决这个问题,我们探索了一种从单个空间网格点的测量时间序列中计算相位的方法。当测量时间序列与 Poincar\'e 截面相交时,相位在事件时间之间线性增加。计算相位与基于等时线的相位之间的差异,是由等时线与 Poincar\'e 截面之间的差异引起的,使用极限周期解附近的线性近似值进行评估。我们发现,当从主导整个时空动态节奏的区域进行测量时,差异很小。此外,我们还研究了另一种方法,即将 Poincar\'e 部分应用于通过对整个时空动态进行正交分解而获得的时间序列。我们提出了两种利用主要成分分析的分解方案。为了说明问题,我们通过弱耦合 FitzHugh-Nagumoreaction-diffusion 模型模拟的、表现出目标波或振荡点的时空动态测量来计算相位。
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