Foundation Dalembert Wlogalpha One
The module proves that every calibrated cost function in the d'Alembert family is the canonical reciprocal cost under a coordinate rescaling, so the parameter alpha introduces no new structure.
The Alpha-One Reduction
Foundation d'Alembert wlogalpha one is a established result in Recognition Science. It shows that the family of cost functions that survive calibration is not a family at all: every member is the canonical reciprocal cost J(x) = (x + x⁻¹)/2 − 1, viewed through a rescaling of the multiplicative coordinate. The parameter α, which appears in the calibrated family F_α(x) = (1/α²)(cosh(α ln x) − 1), is a coordinate choice, not a new physical possibility.
The module proves the rescaling identity F_α(x) = (1/α²) · J(x^α) for positive x. The map x ↦ x^α is a group automorphism of the positive reals under multiplication: it preserves products, the identity, and inverses. Setting α = 1 recovers J exactly. The unit-curvature condition G_α''(0) = 1, which fixes the calibration, holds for every nonzero α. These four facts together give the theorem: every calibrated cost is the canonical cost under coordinate rescaling.
The consequence is structural. The five axioms that force J also force that no additional parameter survives the calibration step. The α = 1 reduction is what lets the forcing chain proceed from the unique cost function to the golden ratio, the eight-tick cycle, and the rest of Recognition Science without carrying a free parameter forward.
THEOREM wlog_alpha_eq_one · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
THEOREM cost_alpha_rescaling · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
THEOREM cost_alpha_one_eq_jcost · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
THEOREM costAlphaLog_unit_curvature · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
What this page does not claim
This module does not derive the value of α from first principles. This module does not prove that the canonical cost J is unique without the five axioms. This module does not address the physical recognition-to-linking bridge.
Verify this page
Every tagged claim above names its theorem. To check one yourself rather than trust this page, elaborate the source module with Lean 4 and audit its axiom basis:
$ lake env lean IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
expected axiom basis: [propext, Classical.choice, Quot.sound] (the Lean kernel's standard three; no RS-specific axioms)
A page whose claims cannot be reproduced this way does not ship. In production, every anchor links to the exact declaration in the public source release, and this block carries the build receipt for the page itself.
Derived articles
This page is generated by a question-recursion engine: the questions its answers raise become the next pages. The current agenda, with open targets marked red:
- How does the α = 1 reduction connect to the derivation of the golden ratio phi?
- What role does the group automorphism x ↦ x^α play in the larger forcing chain?
- Does the calibration invariance extend to other normalization conditions beyond unit curvature?
- What is the physical interpretation of the multiplicative coordinate rescaling in recognition events?
MACHINE LAYER · GROUNDED CLAIM TABLE · CLICK TO EXPAND
- THEOREMEvery calibrated cost F_α is the canonical cost J under coordinate rescaling. wlog_alpha_eq_one · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
- THEOREMThe rescaling identity F_α(x) = (1/α²) · J(x^α) holds for positive x. cost_alpha_rescaling · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
- THEOREMSetting α = 1 recovers J exactly. cost_alpha_one_eq_jcost · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean
- THEOREMThe unit-curvature condition G_α''(0) = 1 holds for every nonzero α. costAlphaLog_unit_curvature · IndisputableMonolith/Foundation/DAlembert/WLOGAlphaOne.lean