紊流吸引子内的层流混沌鞍。

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Hibiki Kato, Miki U Kobayashi, Yoshitaka Saiki, James A Yorke
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引用次数: 0

摘要

在具有高维混沌吸引子(如流体湍流)的系统中,经常观察到弱混沌(层流)和强混沌(突发)状态之间的间歇性切换。不同于伴随固定点或周期轨道稳定性变化的低维系统的间断性,高维系统的间断性往往出现在较宽的参数范围内。本文考虑了层流态L的骨架作为混沌吸引子X的固有混沌子集S存在的一种情况,即S≠X。我们用混沌鞍座S来描述这种层流态L,其中密集地充满了不同数量的不稳定方向的周期轨道。本研究证明了在流体湍流和相位同步的间歇下存在混沌鞍。此外,我们证实了混沌鞍态在大范围参数下持续存在。此外,湍流模型中还存在一种相同步现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laminar chaotic saddle within a turbulent attractor.

Intermittent switchings between weakly chaotic (laminar) and strongly chaotic (bursty) states are often observed in systems with high-dimensional chaotic attractors, such as fluid turbulence. They differ from the intermittency of a low-dimensional system accompanied by the stability change of a fixed point or a periodic orbit in that the intermittency of a high-dimensional system tends to appear in a wide range of parameters. This paper considers a case where the skeleton of a laminar state L exists as a proper chaotic subset S of a chaotic attractor X, that is, S⊊X. We characterize such a laminar state L by a chaotic saddle S, which is densely filled with periodic orbits of different numbers of unstable directions. This study demonstrates the presence of chaotic saddles underlying intermittency in fluid turbulence and phase synchronization. Furthermore, we confirm that chaotic saddles persist for a wide range of parameters. Also, a kind of phase synchronization turns out to occur in the turbulent model.

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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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