丙式方程V4.0:历史内生驱动的普适性理论基于赵付涛物质记忆元公理的统一动力学框架

This paper constructs a unified dynamic framework based on Zhao Futao's Axiom of Material Memory Element. The framework takes "material memory is an inherent property of matter, and historical information is the fundamental driving force of evolution" as the core axiom. Through the strict coupling of the B - type equation (the main equation of state evolution) and the C - type equation (the dynamic equation of environmental gain), it realizes a unified description from microscopic particles to the macroscopic universe, and from physical systems to life and social systems. The core innovation of this framework lies in establishing the mathematical law that "the structure of the main equation is eternal, dimensionally consistent, and all changes are introduced through dimensionless interference terms", thus forcing historical memory to permanently participate in every state operation in the mathematical structure. The historical memory kernel H, as the "ontology" carrying the inherent dimension of the system, together with the environmental modulation coefficients Ξ and η, constitutes a complete description of state evolution. The C - type equation specifically describes how the dimensionless gain coefficient Ξ dynamically evolves under the influence of the system's own historical memory pattern and its coupling with the historical memory patterns of other systems. Research shows that this framework can not only naturally degenerate into an approximation of classical mechanics under ideal conditions, but also self - consistently explain the origins of physical phenomena such as inertia, gravity, and electromagnetic interaction, unifying them as the emergent effects of "resonance" or "conflict" among historical memory patterns. This paper completes the complete mathematical formulation, dimensional consistency proof, comparison with traditional theories of this unified framework, and demonstrates its explanatory power through thought experiments, providing a new underlying paradigm for interdisciplinary complex system research.