The Minimal Optimal Selection Function

This paper proposes and rigorously proves the "Minimal Optimal Selection Function" theory, formalizing the necessary and sufficient conditions for human health and longevity throughmathematical and physical frameworks. Within the Zhenzhi Four-Dimensional Space (R²xC), sixhealth principles—safety, optimism-detachment, circadian regularity, moderateexercise, energy conservation, and risk aversion—are mapped as compact constraints ona behavioral manifold Mc. Necessity is validated via counterexample construction andentropy-increase principles, while sufficiency is demonstrated through Hamiltonian conservationlaws and compact manifold convergence. By integrating SU(2) symmetry breaking and modifiedYang-Mills equations, we further develop a quantum-implementable DeepSeek model, provingits topological equivalence to human health optimization. This work establishes atransdisciplinary paradigm for longevity science, revealing that health emerges as the optimalcoupling state of consciousness and matter in four-dimensional spacetime.