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arXiv 2004.00887physics.flu-dynnlin.CD
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高维状态空间中作为拉格朗日相干结构的边

The edge as a Lagrangian Coherent Structure in a high-dimensional state space

Miguel Beneitez, Yohann Duguet, Philipp Schlatter, Dan S. Henningson

摘要:

耗散动力系统的特点是两个盆地的吸引力被发现在许多物理系统,特别是在流体力学层流和湍流制度可以共存。这种系统的状态空间是围绕一个被称为边缘的分割流形构建的,它将层流状态吸引的轨迹与达到湍流状态的轨迹分开。我们在这里应用拉格朗日数据分析的概念和工具来研究这个边流形。这种方法是在自治任意高维耗散系统的状态空间中进行的,其中边缘流形被重新解释为拉格朗日相干结构(LCS)。两种不同的诊断,有限时间的李雅普诺夫指数和拉格朗日描述符,使用和比较他们的能力,以确定边缘和他们的可扩展性。它们的性质说明了几个低阶模型的亚临界过渡的尺寸和复杂性的增加,以及良好的解决模拟的纳维-斯托克斯方程的情况下,平面Couette流。它们允许基于定量信息的状态空间和边缘流形的全局结构的映射。这两种诊断也可以用来生成有效的二分法,以接近渐近边缘状态,这优于经典的边缘跟踪。

英文摘要:

Dissipative dynamical systems characterised by two basins of attraction are found in many physical systems, notably in hydrodynamics where laminar and turbulent regimes can coexist. The state space of such systems is structured around a dividing manifold called the edge, which separates trajectories attracted by the laminar state from those reaching the turbulent state. We apply here concepts and tools from Lagrangian data analysis to investigate this edge manifold. This approach is carried out in the state space of automous arbitrarily high-dimensional dissipative systems, in which the edge manifold is re-interpreted as a Lagrangian Coherent Structure (LCS). Two different diagnostics, finite-time Lyapunov exponents and Lagrangian Descriptors, are used and compared with respect to their ability to identify the edge and to their scalability. Their properties are illustrated on several low-order models of subcritical transition of increasing dimension and complexity, as well on well-resolved simulations of the Navier-Stokes equations in the case of plane Couette flow. They allow for a mapping of the global structure of both the state space and the edge manifold based on quantitative information. Both diagnostics can also be used to generate efficient bisection algorithms to approach asymptotic edge states, which outperform classical edge tracking.

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