What is mass? In classical physics, mass was a primitive property of matter. In relativity, it became equivalent to energy. In the Standard Model, it emerges from couplings to the Higgs field. Yet the ontological status of mass—what it is, not merely how it behaves—remains unresolved. Energy-Efficiency Theory (EET) provides a first-principles answer grounded in the dynamics of constraint networks. Mass is not an independent substance but the scalar interface through which ontological inertia becomes externally measurable. Inertia is the resistance of constrained-state energy to constraint reconfiguration (Inertia Ontology v3. 2). Mass is the scalar quantity that encodes this resistance for use in external dynamical laws: m = Ec / v_², where Ec is the total constrained-state energy locked within Type I constraints (Constraint Ontology v2. 0) and v_ is the maximum signal speed of the substrate. This paper develops the complete ontology of mass from the generative foundations of EET Core Rules v5. 6 and the companion ontologies. At L1, mass is defined by three jointly necessary features: it is a scalar, it encodes the total constrained-state energy of a system, and it serves as the interface between ontological inertia and measurable dynamics. We distinguish mass from inertia (mass is the scalar measure; inertia is the vector resistance) and from energy (mass is an interface encoding; energy is the underlying content). Version 3. 1 introduces eight constitutional upgrades anchored in the companion ontologies and validated by independent research (2025–2026): 1. The Elastic/Plastic Inertia Distinction in the Mass Domain. The modulation mG^eff = mG () is constitutionally identified as elastic inertia—a reversible efficiency loss in gravitational coupling when 1. This is fundamentally distinct from plastic inertia—the irreversible accumulation of constraint C (t) that permanently increases the system's total constrained-state energy and thus its inertial mass (Inertia Ontology v3. 2). 2. The Mass-Fixity Spectrum. The constancy of elementary particle masses is constitutionally grounded in the fixity distinction of the Ontology of Particle v3. 1. Absolutely fixated particles possess a singleton internal state space, prohibiting any continuous variation of mass. Partially fixated particles admit discrete excitation spectra; unfixated entities exhibit continuously tunable effective mass. 3. The Graph-Theoretic Signature of Mass. Mass is expressed as the sum of vertex weights in the constraint graph: m ₕ ₕ Ec (v). Mass defect is the reduction in total vertex weight when vertices fuse into a deeper, more efficient constraint configuration (Graph-Theoretic Ontology v2. 4). 4. The Bidirectional Interface Perspective. Mass inherits the bidirectional nature of constraint boundaries (Constraint Ontology v2. 0): the inward dimension encodes mI; the outward dimension encodes mG. Their equivalence at =1 is the natural expression of a single boundary executing both functions optimally. 5. The Fluctuation-Dissipation Foundation of the Equivalence Principle. The equivalence principle mI = mG is derived as the gravitational manifestation of the Fluctuation-Dissipation Theorem (Statistical Mechanics v2. 0). At =1, the spontaneous fluctuation strength and the linear response function are governed by the same effective temperature, mandating their proportionality. 6. The Mass–Causal Depth–Hierarchical Depth Triad. Mass, causal depth L₂₀ₔₒ₀₋ (Causality v1. 5), and hierarchical depth L (Complexity v2. 0) are unified: m (L) L^ (1. 2). Deeper constraint networks possess exponentially greater mass. 7. The Mass Generation Criticality Theorem. Mass generation is a phase transition requiring 1 criticality plus background condensation (Phase Transition v3. 0). This generalizes the Higgs mechanism: any constraint network background that condenses and couples to previously massless entities generates mass. Independent validation comes from graph-network Higgs analogs (Kleftogiannis \ inertia; constrained-state energy; Higgs mechanism; equivalence principle; mass defect; elastic inertia; plastic inertia; constraint network; mass-fixity spectrum; mass hierarchy scaling; Energy-Efficiency Theory
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Hongpu Yang
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Hongpu Yang (Thu,) studied this question.
www.synapsesocial.com/papers/69f5952971405d493a0002db — DOI: https://doi.org/10.5281/zenodo.19923777