pith. machine review for the scientific record. sign in
Derived THEOREM Fundamental constants v5

Recognition Length lambda_rec

The canonical recognition length is the unique balanced positive root of the curvature-cost equation

The canonical recognition length is the unique balanced positive root of the curvature-cost equation.

Predictions

Quantity Predicted Units Empirical Source
lambda_rec unique positive root length Planck-scale bridge RS Planck-scale matching

Equations

[ \lambda_{\mathrm{rec}}>0,\qquad \mathrm{balance}(\lambda_{\mathrm{rec}})=0 ]

Recognition length as unique balance root.

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_rec is a balanced root theorem checked
    IndisputableMonolith.Constants.LambdaRecDerivation.lambda_rec_is_root Open theorem →
  2. 2 Unique positive root theorem checked
    IndisputableMonolith.Constants.LambdaRecDerivation.lambda_rec_unique_root Open theorem →
  3. 3 Forced by balance theorem checked
    IndisputableMonolith.Constants.LambdaRecDerivation.lambda_rec_is_forced Open theorem →
  4. 4 Total curvature (Gauss-Bonnet) theorem checked
    IndisputableMonolith.Constants.LambdaRecDerivation.total_curvature_gauss_bonnet Open theorem →
  5. 5 G derivation chain complete theorem checked
    IndisputableMonolith.Constants.LambdaRecDerivation.G_derivation_chain_complete Open theorem →

Narrative

1. Setting

The recognition length is the positive root of the balance equation tying curvature cost to ledger closure. The point of the Lean module is not just a number; it proves uniqueness of the positive balanced root.

2. Equations

(E1)

$$ \lambda_{\mathrm{rec}}>0,\qquad \mathrm{balance}(\lambda_{\mathrm{rec}})=0 $$

Recognition length as unique balance root.

3. Prediction or structural target

  • lambda_rec: predicted unique positive root (length); empirical Planck-scale bridge. Source: RS Planck-scale matching

This entry is one of the marquee derivations. The numerical or formal target is explicit, and the falsifier identifies the failure mode.

4. Formal anchor

The primary anchor is Constants.LambdaRecDerivation..lambda_rec_is_root.


theorem lambda_rec_is_root : K lambda_rec = 0 := by
  unfold K lambda_rec ell0
  simp only [one_pow, div_one]
  ring

theorem lambda_rec_unique_root (lambda : ℝ) (hlambda : lambda > 0) :
    K lambda = 0 ↔ lambda = lambda_rec := by
  unfold K lambda_rec ell0
  simp only [one_pow, div_one]

5. What is inside the Lean module

Key theorems:

  • lambda_0_pos
  • lambda_0_sq
  • balance_at_lambda_0
  • balance_unique_positive_root
  • lambda_rec_is_root
  • lambda_rec_unique_root
  • lambda_rec_is_forced
  • angular_deficit_value
  • total_curvature_gauss_bonnet
  • kappa_normalized_eq_one
  • J_curv_derivation
  • balance_determines_lambda

Key definitions:

  • J_bit_normalized
  • J_curv
  • totalCost
  • balanceResidual
  • lambda_0
  • K
  • Q3_vertices
  • Q3_faces

6. Derivation chain

7. Falsifier

A second positive recognition-length root, or a failure of the positive root to satisfy the curvature balance equation, refutes the derivation.

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.

10. Audit path

To audit lambda-rec-derivation, start with the primary Lean anchor Constants.LambdaRecDerivation.lambda_rec_is_root. 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 second positive recognition-length root, or a failure of the positive root to satisfy the curvature balance equation, refutes the derivation.

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/lambda-rec-derivation
  • Version: 5
  • Published: 2026-05-14
  • Updated: 2026-05-15
  • JSON: https://pith.science/derivations/lambda-rec-derivation.json
  • YAML source: pith/derivations/registry/bulk/lambda-rec-derivation.yaml

@misc{pith-lambda-rec-derivation, title = "Recognition Length lambda_rec", author = "Recognition Physics Institute", year = "2026", url = "https://pith.science/derivations/lambda-rec-derivation", note = "Pith Derivations, version 5" }