The theory introduces a framework to explain the persistence of complex structures in a universe governed by the second law of thermodynamics, focusing on nucleons as coherence anchors resisting decoherence and catalyzing complexity.
Key concepts include reinterpreting measurement as temporal projection and decoherence as constructive selection, with structure defined as memory.
A coherence potential, Φ_coh, captures entropy flow imbalance, influencing the emergence and stabilization of complexity.
The system evolves through PDEs relating complexity (χ), coherence anchor density (η), and entropy asymmetry potential (Φ_coh), showing stable solutions under certain conditions.
Simulations with spatial nodes and time steps illustrate how complexity emerges in regions with sustained coherence density and is influenced by noise and damping parameters.
Experimental analogs like nuclear spin coherence studies and reaction-diffusion systems support the theory's predictions on coherence-driven complexity emergence.
The theory integrates coherence, entropy asymmetry, and feedback into a testable framework, offering insights into complexity emergence in various systems.
A falsifiable prediction suggests that structure will persist in spin-coherent biological systems only if nuclear spin coherence exceeds a critical time.
Overall, the theory bridges quantum mechanics, thermodynamics, and self-organization, with implications for biological and physical systems.