The power spectrum indicator: A new, efficient method for the early detection of chaos
To determine the regular or chaotic nature of the orbits in dynamical systems can be quite an issue. In this article, following Vozikis et al. (2000), we propose a new tool, namely, the Power Spectrum Indicator (PSI), $\psi^2$, that enables us to determine, as early as posible, whether an orbit of a...
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Main Authors: | , , |
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Format: | Journal Article |
Language: | English |
Published: |
01-08-2018
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Subjects: | |
Online Access: | Get full text |
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Summary: | To determine the regular or chaotic nature of the orbits in dynamical systems
can be quite an issue. In this article, following Vozikis et al. (2000), we
propose a new tool, namely, the Power Spectrum Indicator (PSI), $\psi^2$, that
enables us to determine, as early as posible, whether an orbit of a
two-dimensional map is chaotic or not. This new method is based on the
frequency analysis of a data series constucted by recording the logarithm of
the amplification factor of the deviation vector of nearby orbits. Accordingly,
two datasets are recorded and the $\chi^2$-likelyhood of their power spectra is
computed. Ordered orbits have always the same power spectrum, so their $\chi^2
\equiv \psi^2$ acquires a zero value. On the contrary, a chaotic orbit has a
power spectrum that varies with time, hence, chaotic orbits always exhibit a
non-zero $\psi^2$ value. Even as regards "sticky" orbits, the PSI method is
very effective in the early detection of chaos, while the global behavior of
the $\psi^2$ indicator can provide information (also) on the intense of the
chaotic behavior, i.e., on how "strong" or "weak" the associated chaos may be. |
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DOI: | 10.48550/arxiv.1808.00223 |