Polynomial approximation of Poincare maps for Hamiltonian systems

Statistics – Computation

Scientific paper

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Celestial Mechanics, Computational Astrophysics, Hamiltonian Functions, Nonlinear Systems, Polynomials, Liapunov Functions, Numerical Analysis, Perturbation Theory, Poincare Spheres, Taylor Series

Scientific paper

Different methods are proposed and tested for transforming a nonlinear differential system, and, more particularly, a Hamiltonian one, into a map without having to integrate the whole orbit as in the well known Poincare return map technique. Piecewise polynomial maps are constructed by coarse-graining the phase surface of section into parallelograms using values of the Poincare maps at the vertices to define a polynomial approximation within each cell. The numerical experiments are in good agreement with both the real symplectic and Poincare maps. The agreement is better when the number of vertices and the order of the polynomial fit increase. Computations of Lyapunov characteristic exponents give a measure of how well the fit approximates the different maps.

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