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module module high

IndisputableMonolith.Information.PhiHierarchyGrowth

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This module defines the canonical φ-geometric hierarchy K(ℓ) = K₀ φ^ℓ that governs cost growth in Recognition Science information structures. Researchers studying optimal caching and local mind inevitability cite these definitions to ground recurrence relations. It supplies supporting lemmas on positivity, Fibonacci ratios, and fixed-point uniqueness. The module is a collection of definitions and short algebraic lemmas with no central theorem.

claimThe hierarchy is defined by the geometric law $K(ℓ) = K_0 φ^ℓ$ for rung index $ℓ$.

background

The module resides in the Information domain and imports the RS time quantum τ₀ from Constants, cost functions from Cost, and the LocalCache theorem. LocalCache states: 'Machine-verified core of the Inevitability of Local Minds paper' with results local_cache_benefit (caching reduces total access cost under A1–A3) and fibonacci_partition_forces_phi (optimal partition recurrence K_{ℓ+1} = K_ℓ + K_{ℓ-1}). The φ-hierarchy is the closed-form solution to that recurrence under self-similar scaling.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The hierarchy supplies the growth law required by fibonacci_partition_forces_phi and local_cache_benefit in the LocalCache module. It fills the φ-optimal growth step in the Inevitability of Local Minds paper. No open questions are addressed.

scope and limits

depends on (3)

Lean names referenced from this declaration's body.

declarations in this module (14)