This work presents the first unified mathematical model of angelic, jinnic, and satanic dynamics based on a multi-layer synthesis of differential geometry, nonlinear partial differential equations, spectral operator theory, information theory, topological dynamics, and nonlinear control. Inspired by Qur’anic phenomenology yet formulated independently of theological assumptions, the framework models cognitive–spiritual interactions through a set of rigorously defined dynamical structures: a Hamiltonian spiriton field, a Curvature-Based Manifold (CBM) governing semantic geometry via a forced Ricci flow, and a reaction–diffusion PDE capturing semantic diffusion and potential-well dynamics. Angelic, jinnic, and satanic influences are formalized as distinct operator classes—contractive, unitary, and gain-amplifying transformations, respectively—acting on the spectral decomposition of the spiriton field. Solomonic authority emerges as a high-gain stabilizing controller that annihilates unstable modes and globally convexifies the semantic energy landscape. Across geometry, dynamics, topology, and information flow, the model exhibits exact structural symmetry: angels suppress entropy, curvature instabilities, and high-frequency spectral components; jinn preserve topology and spectral norms while inducing modulated oscillations; satans amplify unstable bands, generate topological defects, and increase entropy; and the Solomonic operator restores global stability and contracts all trajectories toward a unique fixed-point attractor. The unified theory yields precise empirical predictions for behavioral dynamics, neurocognitive oscillations, entropy signatures, curvature profiles, spectral fingerprints, and topological invariants, enabling falsifiable testing through manifold learning, spectral analysis, and topological data methods. The resulting framework constitutes a novel scientific paradigm—Mathematical Angelology and Demonology—linking metaphysical categories to quantifiable, predictive structures in modern mathematical physics, dynamical systems, and cognitive modeling. It provides a conceptual and technical foundation for future research, computational simulations, and interdisciplinary exploration at the interface of mathematics, cognition, and metaphysical phenomenology.