Das Alaka, Gupte Neelima
Department of Physics, Indian Institute of Technology Madras, Chennai 600036, India.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Apr;87(4):042906. doi: 10.1103/PhysRevE.87.042906. Epub 2013 Apr 8.
The phenomenon of crisis in systems evolving in high-dimensional phase space can show unexpected and interesting features. We study this phenomenon in the context of a system of coupled sine circle maps. We establish that the origins of this crisis lie in a tangent bifurcation in high dimensions, and identify the routes that lead to the crisis. Interestingly, multiple routes to crisis are seen depending on the initial conditions of the system, due to the high dimensionality of the space in which the system evolves. The statistical behavior seen in the phase diagram of the system is also seen to change due to the dynamical phenomenon of crisis, which leads to transitions from nonspreading to spreading behavior across an infection line in the phase diagram. Unstable dimension variability is seen in the neighborhood of the infection line. We characterize this crisis and unstable dimension variability using dynamical characterizers, such as finite-time Lyapunov exponents and their distributions. The phase diagram also contains regimes of spatiotemporal intermittency and spatial intermittency, where the statistical quantities scale as power laws. We discuss the signatures of these regimes in the dynamic characterizers, and correlate them with the statistical characterizers and bifurcation behavior. We find that it is necessary to look at both types of correlators together to build up an accurate picture of the behavior of the system.
在高维相空间中演化的系统的危机现象可能会呈现出意想不到且有趣的特征。我们在耦合正弦圆映射系统的背景下研究这一现象。我们确定这种危机的根源在于高维中的切分岔,并找出导致危机的路径。有趣的是,由于系统演化所在空间的高维性,根据系统的初始条件可以看到多条通向危机的路径。系统相图中观察到的统计行为也因危机的动力学现象而发生变化,这导致在相图中跨越感染线从非扩散行为转变为扩散行为。在感染线附近可以看到不稳定维度的变化。我们使用诸如有限时间李雅普诺夫指数及其分布等动力学特征量来描述这种危机和不稳定维度变化。相图还包含时空间歇性和空间间歇性区域,其中统计量按幂律缩放。我们讨论这些区域在动力学特征量中的特征,并将它们与统计特征量和分岔行为相关联。我们发现有必要同时考虑这两种类型的关联量,以便全面准确地了解系统的行为。