General disagreement between the Geometrical Description of Dynamical In-stability -using non affine parameterizations- and traditional Tangent Dynamics
Eduardo Cuervo-Reyes

TL;DR
This paper reveals that geometrical Lyapunov exponents can significantly differ from tangent dynamics exponents when non-affine parameterizations are used, affecting the interpretation of dynamical stability.
Contribution
It demonstrates that non-affine parameterizations cause discrepancies between geometrical and tangent Lyapunov exponents, highlighting potential misinterpretations in stability analysis.
Findings
Geometrical Lyapunov exponents differ from tangent exponents under non-affine parameterizations.
Non-affine parameterizations can lead to false indications of chaos due to parametric resonance.
Results challenge the equivalence of geometrical and tangent stability measures in certain frameworks.
Abstract
In this paper, the general disagreement of the geometrical lyapunov exponent with lyapunov exponent from tangent dynamics is addressed. It is shown in a quite general way that the vector field of geodesic spread is not equivalent to the tangent dynamics vector if the parameterization is not affine and that results regarding dynamical stability obtained in the geometrical framework can differ qualitatively from those in the tangent dynamics. It is also proved in a general way that in the case of Jacobi metric -frequently used non affine parameterization-, satisfies differential equations which differ from the equations of the tangent dynamics in terms that produce parametric resonance, therefore, positive exponents for systems in stable regimes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Differential Geometry Research · Quantum chaos and dynamical systems · Advanced Differential Equations and Dynamical Systems
