Oscillatory behavior in discrete slow power-law models

Discrete mathematical slow oscillatory models are proposed to describe biological interactions between two populations by considering power-law functions. Conditions for slow convergence to the equilibrium point are imposed on model parameters. Moreover, to obtain oscillatory solutions we prove that model exponents may be parameterized by only one parameter. As a by-product, we also discover a family of functions that can be regarded as a two-dimensional generalization of the Schwarzian derivative. Diverse particular model cases are analyzed numerically in order to show orbital solutions. Finally, applications for biochemical and population models are presented.