Theoretical Framework
This section outlines the theoretical foundations of CH-ToE: the physical definition of knowledge, the role of λ, and the unification of structure-forming transitions across domains.
CH-ToE proposes that reality behaves as a system of entropy regulation — where structure arises only when uncertainty is reduced under specific constraints. The central claim is that knowledge is not semantic, symbolic, or subjective, but instead a physical quantity defined as:
\[ K = -\Delta S \]
Only entropy reductions that are compressible, recurrent, and predictive count as knowledge events.
Lambda: A Universal Structuring Constant
Across quantum systems, evolutionary processes, and artificial intelligence, CH-ToE identifies a shared cadence in the emergence of structure. This cadence is defined by a dimensionless constant:
\[ \lambda = \frac{\sqrt{8}}{\varphi} \approx 1.748 \]
λ represents the threshold at which entropy reduction transitions into organized, persistent structure. It arises from geometric recursion and entropic symmetry — and recurs across otherwise disjoint domains.
From Collapse to Cognition
When \( dK/dt \geq \lambda \), systems stabilize and structure emerges. When they do not, systems remain brittle or dissolve. CH-ToE classifies the following phase shifts as manifestations of this structuring threshold:
- Wavefunction collapse in quantum mechanics
- Punctuated equilibrium in biological evolution
- Plateau transitions in AI training
- Concept stabilization in human cognition
What CH-ToE Is and Isn’t
CH-ToE is a falsifiable and predictive framework grounded in thermodynamics, information theory, and geometry. It does not introduce new metaphysical categories — only a new way to interpret and link phase transitions across science.
- Explore the Mathematical Framework for derivations and equations
- See Echo Geometry for entropy resonance experiments
- Download the full preprint for details and validation tests