期刊
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
卷 18, 期 12, 页码 3530-3557出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cnsns.2013.05.002
关键词
Invariant manifolds; Nonautonomous systems; Aperiodically time-dependent; Vector fields; Transport barriers
类别
资金
- Spanish Ministry of Science [MICINN-MTM2008-03754, MTM2011-26696, I-Math C3-0104]
- ICMAT Severo Ochoa project [SEV-2011-0087]
- CSIC [ILINK-0145]
- OCEANTECH
- Office of Naval Research [N00014-01-1-0769]
In this paper we develop new techniques for revealing geometrical structures in phase space that are valid for aperiodically time dependent dynamical systems, which we refer to as Lagrangian descriptors. These quantities are based on the integration, for a finite time, along trajectories of an intrinsic bounded, positive geometrical and/or physical property of the trajectory itself. We discuss a general methodology for constructing Lagrangian descriptors, and we discuss a heuristic argument that explains why this method is successful for revealing geometrical structures in the phase space of a dynamical system. We support this argument by explicit calculations on a benchmark problem having a hyperbolic fixed point with stable and unstable manifolds that are known analytically. Several other benchmark examples are considered that allow us the assess the performance of Lagrangian descriptors in revealing invariant tori and regions of shear. Throughout the paper side-by-side comparisons of the performance of Lagrangian descriptors with both finite time Lyapunov exponents (FTLEs) and finite time averages of certain components of the vector field (time averages) are carried out and discussed. In all cases Lagrangian descriptors are shown to be both more accurate and computationally efficient than these methods. We also perform computations for an explicitly three dimensional, aperiodically time-dependent vector field and an aperiodically time dependent vector field defined as a data set. Comparisons with FTLEs and time averages for these examples are also carried out, with similar conclusions as for the benchmark examples. (C) 2013 Elsevier B. V. All rights reserved.
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