Computing Lyapunov Exponents using Weighted Birkhoff Averages
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866917774979235840 |
|---|---|
| author | Sander, E. Meiss, J. D. |
| author_facet | Sander, E. Meiss, J. D. |
| contents | The Lyapunov exponents of a dynamical system measure the average rate of exponential stretching along an orbit. Positive exponents are often taken as a defining characteristic of chaotic dynamics. However, the standard orthogonalization-based method for computing Lyapunov exponents converges slowly -- if at all. Many alternatively techniques have been developed to distinguish between regular and chaotic orbits, though most do not compute the exponents. We compute the Lyapunov spectrum in three ways: the standard method, the weighted Birkhoff average (WBA), and the ``mean exponential growth rate for nearby orbits'' (MEGNO). The latter two improve convergence for nonchaotic orbits, but the WBA is fastest. However, for chaotic orbits the three methods convergence at similar, slow rates. Though the original MEGNO method does not compute Lyapunov exponents, we show how to reformulate it as a weighted average that does. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08496 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Computing Lyapunov Exponents using Weighted Birkhoff Averages Sander, E. Meiss, J. D. Chaotic Dynamics Dynamical Systems 34C37, 37C29, 37J45, 70H09 The Lyapunov exponents of a dynamical system measure the average rate of exponential stretching along an orbit. Positive exponents are often taken as a defining characteristic of chaotic dynamics. However, the standard orthogonalization-based method for computing Lyapunov exponents converges slowly -- if at all. Many alternatively techniques have been developed to distinguish between regular and chaotic orbits, though most do not compute the exponents. We compute the Lyapunov spectrum in three ways: the standard method, the weighted Birkhoff average (WBA), and the ``mean exponential growth rate for nearby orbits'' (MEGNO). The latter two improve convergence for nonchaotic orbits, but the WBA is fastest. However, for chaotic orbits the three methods convergence at similar, slow rates. Though the original MEGNO method does not compute Lyapunov exponents, we show how to reformulate it as a weighted average that does. |
| title | Computing Lyapunov Exponents using Weighted Birkhoff Averages |
| topic | Chaotic Dynamics Dynamical Systems 34C37, 37C29, 37J45, 70H09 |
| url | https://arxiv.org/abs/2409.08496 |