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STABLE MANIFOLD COMPUTATIONS IN A NON-SMOOTH DYNAMICAL SYSTEM

Stable manifolds of saddle points are important in defining the dynamics of smooth nonlinear dynamical systems [1]. The stable manifold theorem for a fixed point states that there are local stable and unstable manifolds tangent to the eigenspaces of the linearised system at the fixed point. The global stable (and unstable) manifold is given by the union of backward (and forward) mappings in time of the local manifold. If we restrict our attention to two-dimensional Poincare maps of three-dimensional flows, at a saddle point of the map, which corresponds to a saddle-limit cycle of the flow, the linearised system will have one-dimensional stable and unstable eigenspaces. At the saddle the local manifolds are tangent to the eigenvectors and in a neighbourhood of the saddle the local manifolds are therefore approximated by these eigenvectors [2]. A numerical procedure to compute the global stable manifolds derives directly from what we just said: a fixed point of a Poincare map is located with standard numerical algorithms [2] and its eigenvectors are computed. If it is a saddle point then an eigenvector is larger than one in modulus and the other is smaller. The stable eigenspace corresponds to the eigenvalue smaller than one. A number of points approximately lying on the stable manifold are then generated by choosing them close to the saddle in the direction of the stable eigenvector. The global stable manifold can be traced by integrating backward in time such a set of points. Numerical issues can affect the computation of the stable manifold; in particular the ‘stretching’ of the manifolds may reduce the degree of accuracy with which the manifold is reconstructed, but most of these problems have been successfully overcome for smooth systems [2].