Core Concept:This study demonstrates that fundamental physical constants (such as fine-structure constant and G) are not hard-coded base parameters, but evolutionary macroscopic rigidities emergent from global causal-chain networks. Expecting to precisely deduce universal constants locally through structural mathematical formulas is logically impossible, as scaling limits always induce mathematical truncation and distortion. Engineering Implementation:Genuine underlying principles cannot be comprehensively applied to practical engineering once decoupled from real-world empirical inputs. Humanity must rely on macro-observational statistics to execute localized probability-domain hedging. In specific isomorphic topologies—such as semiconductor transistors, biological membrane ion channels, and topological insulator edge states—we can utilize endogenous causal-chain strain mechanisms to actively break through the parameters and limits constraints manifested by large-number statistical convergence.
Yue Lu (Fri,) studied this question.