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Ergodic theory and visualization. I. Mesochronic plots for visualization of ergodic partition and invariant sets

机译:遍历理论和可视化。 I.等时图用于遍历分区和不变集的可视化

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We present a computational study of a visualization method for invariant sets based on ergodic partition theory, first proposed by Mezicacute (Ph.D. thesis, Caltech, 1994) and Mezicacute and Wiggins [Chaos 9, 213 (1999)]. The algorithms for computation of the time averages of observables on phase space are developed and used to provide an approximation of the ergodic partition of the phase space. We term the graphical representation of this approximation-based on time averages of observables-a mesochronic plot (from Greek: meso-mean, chronos-time). The method is useful for identifying low-dimensional projections (e.g., two-dimensional slices) of invariant structures in phase spaces of dimensionality bigger than two. We also introduce the concept of the ergodic quotient space, obtained by assigning a point to every ergodic set, and provide an embedding method whose graphical representation we call the mesochronic scatter plot. We use the Chirikov standard map as a well-known and dynamically rich example in order to illustrate the implementation of our methods. In addition, we expose applications to other higher dimensional maps such as the Froeacuteschle map for which we utilize our methods to analyze merging of resonances and, the three-dimensional extended standard map for which we study the conjecture on its ergodicity [I. Mezicacute, Physica D 154, 51 (2001)]. We extend the study in our next paper [Z. Levnajicacute and I. Mezicacute, e-print arXiv:0808.2182] by investigating the visualization of periodic sets using harmonic time averages. Both of these methods are related to eigenspace structure of the Koopman operator [I. Mezicacute and A. Banaszuk, Physica D 197, 101 (2004)].
机译:我们提出了一种基于遍历划分理论的不变集可视化方法的计算研究,该方法最早由Mezicacute(博士学位论文,Caltech,1994)以及Mezicacute和Wiggins提出[Chaos 9,213(1999)]。开发了用于计算相空间上的可观测时间平均值的算法,并将其用于提供相空间遍历划分的近似值。我们将这种近似表示法表示为基于可观测时间平均数的中时曲线(来自希腊语:meso-mean,chronos-time)。该方法对于识别尺寸大于2的相空间中的不变结构的低维投影(例如,二维切片)是有用的。我们还介绍了遍历商空间的概念,该遍历商空间是通过为每个遍历集分配一个点而获得的,并提供了一种嵌入方法,其图形表示称为中时散点图。为了说明我们方法的实现,我们将Chirikov标准图用作一个众所周知的动态丰富的示例。此外,我们将应用程序展示给其他更高维度的地图,例如Froeacuteschle地图(我们使用我们的方法来分析共振的合并)以及三维扩展标准地图(我们用于研究其遍历性[I. Mezicacute,Physica D 154,51(2001)。我们将在下一篇论文中扩展研究[Z. Levnajicacute和I. Mezicacute,电子版arXiv:0808.2182],通过研究使用谐波时间平均值的周期集的可视化。这两种方法都与库普曼算子的本征空间结构有关。 Mezicacute和A. Banaszuk,物理学D 197,101(2004)。

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