Proposes a new theory linking valuation and uncertainty across mathematical and physical systems, suggesting new frameworks.
Existing theories generally regard valuation as an approximate method, and attribute uncertainty to observation limitations, incomplete information or systematic constraints. This paper proposes a minimalist, self-consistent and globally closed axiom system. It proves that valuation is not an optional technique, but a logical necessity of hierarchical structure; uncertainty is not a defect, but an inherent hierarchical difference between the high-order global total envelope and the low-order mathematical-physical distribution package. This paper defines core concepts including global total envelope, mathematical-physical distribution package, hierarchical difference, downward projection and projection number. It establishes the axioms of global completeness, hierarchical uncertainty, valuation, projection uniqueness, and evolutionary distribution of mathematical-physical entities. It demonstrates that high-order states can only be expressed by interval, range and steady-state domain valuation, while a single downward projection inevitably generates a unique accurate projection number. This paper unifies the origin of all valuation phenomena in various fields, and points out that the persistent pursuit of precision by low-order mathematical-physical systems precisely reflects that contemporary mathematical and physical systems have not yet broken through the limitations of the low-order framework.
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Zhenmin Wang (2026) studied this question.
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