Brandon Schneider
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baa2652727
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formalize: 4-primitive framework for Erdős–Rényi random graphs in Lean
Formalized the 4-primitive framework applied to Erdős–Rényi random graphs
G(n,p) in Lean.
Lean file: 0-Core-Formalism/lean/Semantics/ExtensionScaffold/Math/FourPrimitiveErdosRenyi.lean
Formalization includes:
- Field primitive (ρ(x⃗)): edge density field
- Shear primitive (G = AᵀA): Laplacian deformation metric
- Packet primitive (Γᵢ): adjacency matrix encoding
- Spectral primitive (C = UΛUᵀ): eigenbasis decomposition
Definitions:
- FieldPrimitive: edge density
- ShearPrimitive: Gram matrix AᵀA
- PacketPrimitive: adjacency matrix
- SpectralPrimitive: eigen decomposition
- spectralRadius, spectralGap, algebraicConnectivity
- Laplacian matrix
- connectivityThreshold, giantComponentThreshold
- detectPhaseTransition
Theorems (schematic):
- FourPrimitiveFramework_Validation
- SpectralPrimitive_PhaseTransition
- FieldPrimitive_Density
- ShearPrimitive_Deformation
- PacketPrimitive_Encoding
Canonical statement included: The compactified core reduces the stack to
four mutually orthogonal primitives: field state, shear metric, packet
witness, and spectral basis.
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2026-05-08 14:50:02 -05:00 |
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