On the inverse problem of competitive modes and the search for chaotic dynamics

Journal article

Generalized competitive modes (GCM) have been used as a diagnostic tool in order to analytically identify parameter regimes which may lead to chaotic trajectories in a given first order nonlinear dynamical system. The approach involves recasting the first order system as a second order nonlinear oscillator system, and then checking to see if certain conditions on the modes of these oscillators is satisfied. In the present paper, we will consider the inverse problem of GCM: If a system of second-order oscillator equations satisfy the GCM conditions, can we then construct a first order dynamical system from it which admits chaotic trajectories? Solving the direct inverse problem is equivalent to finding solutions to a inhomogeneous form of the Euler equations. As there are no general solutions to this PDE system, we instead consider the problem for restricted classes of functions for autonomous systems which, upon obtaining the nonlinear oscillatory representation, we are able to extract at least two of the modes explicitly. We find that these methods often make finding chaotic regimes a much simpler task; many classes of parameter-function regimes that lead to non-chaos are excluded by the competitive modes conditions, and classical knowledge of dynamical systems then allows us to tune the free parameters or functions appropriately in order to obtain chaos. In order to find new hyperchaotic systems, a similar approach is used, but more effort and additional considerations are needed. These results demonstrate one method for constructing new chaotic or hyperchaotic systems.

Authors: Ruks, L; Van Gorder, R

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: World Scientific Publishing
• Journal: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
• Volume: 27
• Pages: 1730032
• Publication date: 2017-10-12
• Acceptance date: 2017-07-31
• DOI: 10.1142/S0218127417300324
• EISSN: 1793-6551
• ISSN: 0218-1274
• Keywords: construction of chaotic systems; generalized competitive modes;; chaotic dynamics; hyperchaos