论文标题
使用差分代数的双曲线拉格朗日相干结构的改进的数值方法
An improved numerical method for hyperbolic Lagrangian Coherent Structures using Differential Algebra
论文作者
论文摘要
在动态系统中,确定可以对附近行为显示最大影响的流动区域是有利的。已经引入了双曲线拉格朗日相干结构,以获得二维表面,这些表面在具有任意时间依赖性的三维动力系统中最大化排斥或吸引力。但是,计算它们的数值方法需要获得与系统相关的衍生物,通常是通过差异差异来执行的,这可能导致明显的数值误差和数值噪声。在本文中,我们介绍了一种新的方法,用于使用称为DA-LCS的差分代数对双曲线拉格朗日相干结构进行数值计算。作为一种自动正向分化的一种形式,它允许直接计算流量的泰勒膨胀,其衍生物和相关应变张量的特征向量,所有衍生物均以代数和机器的精度获得所有衍生物。它没有有关系统的先验信息,例如变分方程或显式导数。我们证明,与从文献中得出的一系列测试用例中,与有限差异方法相比,这可以为确定的拉格朗日相干结构的准确性提供显着改善。我们还展示了DA-LCS如何在从天体动力学中得出的现实世界中发现其他动力学行为。
In dynamical systems, it is advantageous to identify regions of flow which can exhibit maximal influence on nearby behaviour. Hyperbolic Lagrangian Coherent Structures have been introduced to obtain two-dimensional surfaces which maximise repulsion or attraction in three-dimensional dynamical systems with arbitrary time-dependence. However, the numerical method to compute them requires obtaining derivatives associated with the system, often performed through the approximation of divided differences, which can lead to significant numerical error and numerical noise. In this paper, we introduce a novel method for the numerical calculation of hyperbolic Lagrangian Coherent Structures using Differential Algebra called DA-LCS. As a form of automatic forward differentiation, it allows direct computation of the Taylor expansion of the flow, its derivatives, and the eigenvectors of the associated strain tensor, with all derivatives obtained algebraically and to machine precision. It does so without a priori information about the system, such as variational equations or explicit derivatives. We demonstrate that this can provide significant improvements in the accuracy of the Lagrangian Coherent Structures identified compared to finite-differencing methods in a series of test cases drawn from the literature. We also show how DA-LCS uncovers additional dynamical behaviour in a real-world example drawn from astrodynamics.