J-Cost is Additive on Independent Events
Cost composes additively whenever recognition events are independent
Cost composes additively whenever recognition events are independent. Additive regime for independent events.
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 Additive on independent theorem checked
IndisputableMonolith.Foundation.PhiForcingDerived.J_additive_for_independentOpen theorem → -
2 Composition / decomposition theorem checked
IndisputableMonolith.Foundation.PhiForcingDerived.J_composition_decompositionOpen theorem → -
3 Motivates additive composition theorem checked
IndisputableMonolith.Foundation.PhiForcingDerived.J_cost_motivates_additive_compositionOpen theorem →
Narrative
1. Setting
J-Cost is Additive on Independent Events is anchored in Foundation.PhiForcingDerived. 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.PhiForcingDerivedmust 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.PhiForcingDerived..J_additive_for_independent.
composition law reduces to pure additivity (up to the canonical factor 2). -/
theorem J_additive_for_independent (a b : ℝ) (ha : 0 < a) (hb : 0 < b)
(h_independent : J a * J b = 0) :
J (a * b) + J (a / b) = 2 * (J a + J b) := by
have hcomp := J_composition_decomposition a b ha hb
nlinarith [hcomp, h_independent]
/-- **KEY INSIGHT**: The additive structure of J-cost motivates
the additive structure of scale composition.
5. What is inside the Lean module
Key theorems:
ledgerCompose_commledgerCompose_assocclosure_forces_golden_equationclosed_ratio_is_phiJ_composition_decompositionJ_additive_for_independentJ_cost_motivates_additive_compositionphi_forcing_completeminimal_closure_sufficient
Key definitions:
GeometricScaleSequenceledgerComposeJofLedgerComplete
6. Derivation chain
J_additive_for_independent- Additive on independentJ_composition_decomposition- Composition / decompositionJ_cost_motivates_additive_composition- Motivates additive composition
7. Falsifier
Independent recognition events whose joint cost does not equal the sum of individual costs would refute J_additive_for_independent.
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 j-cost-additive-on-independent, start with the primary Lean anchor Foundation.PhiForcingDerived.J_additive_for_independent. 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
Independent recognition events whose joint cost does not equal the sum of individual costs would refute J_additive_for_independent.
Related derivations
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/j-cost-additive-on-independent - Version: 5
- Published: 2026-05-14
- Updated: 2026-05-15
- JSON:
https://pith.science/derivations/j-cost-additive-on-independent.json - YAML source:
pith/derivations/registry/bulk/j-cost-additive-on-independent.yaml
@misc{pith-j-cost-additive-on-independent,
title = "J-Cost is Additive on Independent Events",
author = "Recognition Physics Institute",
year = "2026",
url = "https://pith.science/derivations/j-cost-additive-on-independent",
note = "Pith Derivations, version 5"
}