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An efficient method for recovering Lyapunov vectors from singular vectors

机译:从奇异向量中恢复Lyapunov向量的有效方法

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摘要

Lyapunov vectors are natural generalizations of normal modes for linear disturbances to aperiodic deterministic flows and offer insights into the physical mechanisms of aperiodic flow and the maintenance of chaos. Most standard techniques for computing Lyapunov vectors produce results which are norm-dependent and lack invariance under the linearized flow (except for the leading Lyapunov vector) and these features can make computation and physical interpretation problematic. An efficient, norm-independent method for constructing the n most rapidly growing Lyapunov vectors from n — 1 leading forward and n leading backward asymptotic singular vectors is proposed. The Lyapunov vectors so constructed are invariant under the linearized flow in the sense that, once computed at one time, they are defined, in principle, for all time through the tangent linear propagator. An analogous method allows the construction of the n most rapidly decaying Lyapunov vectors from n decaying forward and n — 1 decaying backward singular vectors. This method is demonstrated using two low-order geophysical models.
机译:Lyapunov向量是对非周期性确定性流动的线性扰动的正常模态的自然概括,并提供了对非周期性流动的物理机制和混沌维持的见解。大多数计算Lyapunov向量的标准技术产生的结果依赖于范数,并且在线性化流下没有不变性(领先的Lyapunov向量除外),这些特征会使计算和物理解释出现问题。提出了一种有效的,与范数无关的方法,该方法可从n_1个前向向前和n个前向后渐近奇异向量构造n个增长最快的Lyapunov向量。这样构造的Lyapunov向量在线性化流下是不变的,从某种意义上说,一旦一次计算,原则上就一直通过切线线性传播器对其进行定义。一种类似的方法允许从n个正向衰减和n-1个反向向后奇异向量构造n个衰减最快的Lyapunov向量。使用两个低阶地球物理模型证明了该方法。

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