A new method to probe the boundary where KAM tori persist by square matrix
Li Hua Yu

TL;DR
This paper introduces an iterative method using square matrices to accurately identify action-angle variables near resonance, enabling better analysis of stability boundaries and KAM tori in nonlinear dynamical systems.
Contribution
The paper presents a novel iterative approach to find action-angle variables near resonance, improving stability analysis beyond traditional perturbation methods.
Findings
Iterative method yields closer agreement with forward integration.
Method converges near stability boundary where conventional methods fail.
Action-angle variables approximate KAM invariants more accurately.
Abstract
The nonlinear dynamics of a system can be analyzed using a square matrix. If off resonance, the lead vector of a Jordan chain in a left eigenspace of the square matrix is an accurate action- angle variable for sufficiently high power order. The deviation from constancy of the action-angle variable provides a measure of the stability of a trajectory. However, near resonance or the stability boundary, the fluctuation increases rapidly and the lead vector no longer represents an accurate action-angle variable. In this paper we show that near resonance or stability boundary, it is possible to find a set of linear combinations of the vectors in the degenerate Jordan chains as the action-angle variables by an iteration procedure so that the fluctuation is minimized. Using the Henon-Heiles problem as an example on resonance, we show that when compared with conventional canonical perturbation…
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Taxonomy
TopicsQuantum chaos and dynamical systems · Theoretical and Computational Physics · Mathematical Dynamics and Fractals
