Ramanujan’s real period functions plus Picard—Fuchs differential equations and Gaussian hypergeometric functions generate a wide range of simple hypergeometric manifolds (henceforward PFHM) consisting of two-dimensional coupled subsystems combined in a single three-dimensional system with dihedral symmetry. We argue that PFHM could be used to elucidate the homoclinic paths equipped with stable, closed and constrained orbits that characterize the dynamical behavior of a large number of physical and biological systems. Since PFHM encompasses coupled subsystems with Hamiltonian interactions that are reciprocal in nature, the options for the total system’s energetic conformation are restrained. Therefore, energetic changes in a subsystem are inversely correlated with energetic changes in another subsystem. This balanced, inverse energetic reciprocity could be used to elucidate the unusual behavior of quantum entangled particles and the thermodynamic constraints dictating the final shape of frustrated proteins. Also, the thermodynamic paths of apparently isolated systems can be influenced by feedback mechanisms from hidden subsystems that exert their influence and can be quantified, even without full knowledge of every control parameter. PHFM can be methodologically treated in terms of cycle attractors, shedding new light on well-known physical phenomena like the dynamical behavior of monostatic bodies. Yet, the possibility to analyze two-dimensional paths in terms of three-dimensional routes could be useful to assess the ubiquitous occurrence of the Turing’s reaction-diffusion model in biological systems. We suggest that PFHM might stand for a general mathematical apparatus shaping the phase space of various real dynamical paths, with applications in digital imaging, cryptography and memory storing.