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 lambda_rec is a balanced root theorem checked
IndisputableMonolith.Constants.LambdaRecDerivation.lambda_rec_is_rootOpen theorem → -
2 Unique positive root theorem checked
IndisputableMonolith.Constants.LambdaRecDerivation.lambda_rec_unique_rootOpen theorem → -
3 Forced by balance theorem checked
IndisputableMonolith.Constants.LambdaRecDerivation.lambda_rec_is_forcedOpen theorem → -
4 Total curvature (Gauss-Bonnet) theorem checked
IndisputableMonolith.Constants.LambdaRecDerivation.total_curvature_gauss_bonnetOpen theorem → -
5 G derivation chain complete theorem checked
IndisputableMonolith.Constants.LambdaRecDerivation.G_derivation_chain_completeOpen 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_poslambda_0_sqbalance_at_lambda_0balance_unique_positive_rootlambda_rec_is_rootlambda_rec_unique_rootlambda_rec_is_forcedangular_deficit_valuetotal_curvature_gauss_bonnetkappa_normalized_eq_oneJ_curv_derivationbalance_determines_lambda
Key definitions:
J_bit_normalizedJ_curvtotalCostbalanceResiduallambda_0KQ3_verticesQ3_faces
6. Derivation chain
lambda_rec_is_root- lambda_rec is a balanced rootlambda_rec_unique_root- Unique positive rootlambda_rec_is_forced- Forced by balancetotal_curvature_gauss_bonnet- Total curvature (Gauss-Bonnet)G_derivation_chain_complete- G derivation chain complete
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
-
lean
Recognition Science Lean library (IndisputableMonolith)
https://github.com/jonwashburn/shape-of-logic
Public Lean 4 canon used by Pith theorem pages. -
paper
Uniqueness of the Canonical Reciprocal Cost
Peer-reviewed paper anchoring the J-cost uniqueness theorem. -
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"
}