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Foundational THEOREM Mathematics & foundations v5

Calibration is Forced by a Unique Fixed Point

The lambda=1 calibration is the unique fixed point of substitutivity

The lambda=1 calibration is the unique fixed point of substitutivity.

Equations

[ J(xy)+J(x/y)=2J(x)J(y)+2J(x)+2J(y) ]

Recognition Composition Law.

Derivation chain (Lean anchors)

Each row links to the corresponding Lean 4 declaration in the Recognition Science canon. A resolved anchor has a green check; an unresolved anchor flags a registry/canon mismatch.

  1. 1 lambda=1 is unique fixpoint theorem checked
    IndisputableMonolith.Foundation.SubstitutivityForcing.lambda_one_is_unique_fixpoint Open theorem →
  2. 2 Calibration forced from fixpoint theorem checked
    IndisputableMonolith.Foundation.SubstitutivityForcing.calibration_forced_from_fixpoint Open theorem →

Narrative

1. Setting

Calibration is Forced by a Unique Fixed Point is anchored in Foundation.SubstitutivityForcing. The page is not a loose explainer: it is a public map from the Recognition Science forcing chain into one Lean-checked declaration bundle. The primary anchor determines what is proved, and the surrounding declarations show how the result is used.

2. Equations

(E1)

$$ J(xy)+J(x/y)=2J(x)J(y)+2J(x)+2J(y) $$

Recognition Composition Law.

3. Prediction or structural target

  • Structural target: Foundation.SubstitutivityForcing must keep resolving in the Lean canon, and all downstream pages that cite this anchor must continue to type-check.

This page is currently a structural derivation. Where the claim has direct empirical content, the prediction table gives the measurable target; otherwise the claim is a formal bridge inside the Lean canon.

4. Formal anchor

The primary anchor is Foundation.SubstitutivityForcing..lambda_one_is_unique_fixpoint.

/-- `λ = 1` is the unique positive real satisfying `λ = λ⁻¹`. -/
theorem lambda_one_is_unique_fixpoint :
    ∀ lam : ℝ, 0 < lam → lam = lam⁻¹ → lam = 1 := by
  intro lam hlam_pos hlam_eq
  have h1 : lam * lam = 1 := by
    have : lam * lam⁻¹ = 1 := mul_inv_cancel₀ (ne_of_gt hlam_pos)
    rw [← hlam_eq] at this; exact this
  nlinarith [sq_nonneg (lam - 1)]

/-- **Theorem**: Among the Aczél family cosh(λt), λ = 1 is the unique

5. What is inside the Lean module

Key theorems:

  • substitutivity_from_ledger
  • lambda_one_is_unique_fixpoint
  • calibration_forced_from_fixpoint

6. Derivation chain

7. Falsifier

Any alternative calibration constant breaks lambda_one_is_unique_fixpoint.

8. Where this derivation stops

Below this page the chain reduces to the RS forcing sequence: J-cost uniqueness, phi forcing, the eight-tick cycle, and the D=3 recognition substrate. If any upstream theorem changes, this page must be versioned rather than patched silently. The published URL is stable, but the version field is the contract.

9. Reading note

The minimal way to audit this page is to open the first Lean anchor and then walk the supporting declarations listed above. If the primary theorem is a module-level anchor, the key theorems section names the internal declarations that carry the mathematical load. This keeps the public derivation readable without severing it from the proof object.

10. Audit path

To audit calibration-fixed-point, start with the primary Lean anchor Foundation.SubstitutivityForcing.lambda_one_is_unique_fixpoint. Then inspect the theorem names listed in the module-content section. The page is intentionally built so the public explanation is not a substitute for the proof object; it is a map into it. The mathematical dependency is the same in every case: reciprocal cost fixes J, J fixes the phi-ladder, the eight-tick cycle fixes the recognition clock, and the domain theorem listed above supplies the last step. If that last step is empirical, the falsifier section names what observation would break it. If that last step is formal, a Lean-checkable counterexample is the relevant failure mode.

Falsifier

A formal recognition ledger with a calibration fixed point different from lambda=1, while still satisfying substitutivity and reciprocal balance, refutes the calibration fixed-point theorem.

Related derivations

References

  1. lean Recognition Science Lean library (IndisputableMonolith)
    https://github.com/jonwashburn/shape-of-logic
    Public Lean 4 canon used by Pith theorem pages.
  2. paper Uniqueness of the Canonical Reciprocal Cost
    Washburn, J.; Zlatanovic, B.
    Axioms (MDPI) (2026)
    Peer-reviewed paper anchoring the J-cost uniqueness theorem.
  3. spec Recognition Science Full Theory Specification
    https://recognitionphysics.org
    High-level theory specification and public program context for Recognition Science derivations.

How to cite this derivation

  • Stable URL: https://pith.science/derivations/calibration-fixed-point
  • Version: 5
  • Published: 2026-05-14
  • Updated: 2026-05-15
  • JSON: https://pith.science/derivations/calibration-fixed-point.json
  • YAML source: pith/derivations/registry/bulk/calibration-fixed-point.yaml

@misc{pith-calibration-fixed-point, title = "Calibration is Forced by a Unique Fixed Point", author = "Recognition Physics Institute", year = "2026", url = "https://pith.science/derivations/calibration-fixed-point", note = "Pith Derivations, version 5" }