Pith. sign in
module module moderate

IndisputableMonolith.Masses.BaselineDerivation

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Module BaselineDerivation supplies the J recognition cost functional together with T_min, octave_offset, and total geometric content for baseline mass derivations. Researchers constructing the phi-ladder mass formula from the forcing chain cite these objects. The module consists entirely of definitions and elementary properties with no theorems.

claim$J(x) = \frac12(x + x^{-1}) - 1$ (recognition cost), $J(1) = 0$, $J(x) \ge 0$ for $x > 0$, $T_{\min}$ at $D=3$, octave offset, total geometric content at $D=3$, and neutrino baseline integer.

background

The module imports Constants (with $\tau_0 = 1$ tick), AlphaDerivation (deriving $\alpha^{-1}$ from cubic ledger vertex deficits), and Masses.Anchor (canonical mass constants). It introduces the J-cost functional $J(x) = \frac12(x + x^{-1}) - 1$, defined for $x > 0$, along with its basic properties and extensions to $T_{\min}$, octave_offset, and total_geometric_content. These objects sit inside the Masses domain and prepare the phi-ladder mass formula.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the J functional and auxiliary quantities required by the mass derivation chain in Masses.Anchor. It directly implements the J-uniqueness step (T5) of the forcing chain and supports the eight-tick octave (T7) and $D=3$ (T8) structure used for baseline masses.

scope and limits

depends on (3)

Lean names referenced from this declaration's body.

declarations in this module (35)