The Seonggil Framework for Downward Causation: Quantification and Dynamic Control in Multi-Scale Hierarchical Systems

Traditional physics operates heavily on upward reductionism, assuming macroscopic phenomena are merely effective approximations of microscopic dynamics. The Seonggil Framework formally elevates Downward Causation—where macroscopic information, topology, and order strictly constrain and govern microscopic degrees of freedom—to a fundamental, quantifiable, and programmable physical channel. By integrating quantum mutual information, non-commutative parameter control, and open quantum system dynamics, we establish a rigorous axiomatic structure and theorems for multi-scale causality. A Python-based simulation provides computational proof of microscopic state-space compression driven by macroscopic downward feedback.