pith. sign in
module module high

IndisputableMonolith.Papers.GCIC.GCICDerivation

show as:
view Lean formalization →

GCICDerivation assembles the derivation of GCIC results from Recognition Science primitives on graphs. It shows J-cost minimization forces constant positive fields and incorporates discrete gauge from 8-tick neutrality plus phi-self-similarity. Researchers on holographic models or discrete scaling in RS cite the module for closing the GCIC paper gap. The structure composes lemmas from GraphRigidity and ReducedPhasePotential into statements such as gcic_from_forcing_chain.

claimOn a finite connected graph $G$ with positive field $x$, the ratio energy $C_G[x] = 0$ if and only if $x$ is constant. The reduced phase potential is defined by $J̃_b(δ) = cosh(λ · d_ℤ(δ)) - 1$ where $λ = ln b$ and $d_ℤ$ is distance to the nearest integer. Discrete gauge identification $r ~ r + n · ln φ$ follows from 8-tick neutrality and φ-self-similarity.

background

The module sits inside the GCIC Response paper treatment of Gap A on dynamical discrete identification. It imports Cost for the J functional, GraphRigidity for ratio-energy vanishing, ReducedPhasePotential for the phase-mismatch induced by discrete scaling quotients, and DiscreteGauge for the 8-tick neutrality mechanism. GraphRigidity states: 'Machine-verified proof that on any finite connected graph, the ratio energy C_G[x] = Σ J(x_v/x_w) vanishes if and only if x is a constant positive field.' ReducedPhasePotential supplies J̃_b(δ) = cosh(lam · d_ℤ(δ)) − 1.

proof idea

This is a derivation module whose argument assembles imported results rather than introducing new core proofs. It applies the rigidity lemma to obtain constant-field conclusions, composes the reduced potential with phase-alignment statements, and invokes the discrete-gauge result to reach gcic_from_forcing_chain and the listed sibling lemmas.

why it matters in Recognition Science

The module supplies the mathematical backbone that feeds BrainHolography, which derives that every local ledger region encodes global state and that accessible information scales with surface area. It closes GCIC Gap A by linking the forcing chain (T7 eight-tick octave, T6 phi self-similarity) to the discrete gauge and constant-field statements required for the holographic derivation.

scope and limits

used by (1)

From the project-wide theorem graph. These declarations reference this one in their body.

depends on (4)

Lean names referenced from this declaration's body.

declarations in this module (15)