Using linear and nonlinear decompositions in state-space for calculating minimal dimension embedding of chaotic attractor

The theoretic ground of a locally topological method for defining a minimal attractor embedding dimension on the basis of linear and nonlinear decompositions in state-space of a dynamic system is proposed. The computer confirmation of the theoretical results is presented.