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Foundational THEOREM Mathematics & foundations v5

Recognition Event Cost is Nonnegative

Every recognition event has nonnegative cost; self-recognition costs zero

Every recognition event has nonnegative cost; self-recognition costs zero.

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 Self-recognition zero cost theorem checked
    IndisputableMonolith.Foundation.RecognitionForcing.self_recognition_zero_cost Open theorem →
  2. 2 Nontrivial recognition positive cost theorem checked
    IndisputableMonolith.Foundation.RecognitionForcing.nontrivial_recognition_positive_cost Open theorem →
  3. 3 Cost nonnegative theorem checked
    IndisputableMonolith.Foundation.ObserverForcing.cost_nonneg Open theorem →

Narrative

1. Setting

Recognition Event Cost is Nonnegative is anchored in Foundation.RecognitionForcing. 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.RecognitionForcing 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.RecognitionForcing..self_recognition_zero_cost.

/-- Recognition events with ratio = 1 are cost-free. -/
theorem self_recognition_zero_cost (e : LedgerForcing.RecognitionEvent) :
    e.ratio = 1 → recognition_cost e = 0 := by
  intro h
  simp only [recognition_cost, h, LedgerForcing.J]
  norm_num

/-- Non-trivial recognition has positive cost.
    Uses the fact that J(x) = (x + 1/x)/2 - 1 ≥ 0, with = 0 iff x = 1. -/
theorem nontrivial_recognition_positive_cost (e : LedgerForcing.RecognitionEvent)

5. What is inside the Lean module

Key theorems:

  • self_recognition_zero_cost
  • nontrivial_recognition_positive_cost
  • recognition_is_cost_structure
  • recognition_unique
  • cost_minima_are_recognition
  • global_minimum_is_self_recognition
  • stability_forces_recognition
  • recognition_necessary
  • recognition_forcing_complete
  • ledger_is_minimal_recognition_tracker
  • cost_to_recognition_bridge

Key definitions:

  • recognition_cost
  • Observable
  • ObservableExtractionMechanism
  • RecognitionStructure
  • recognition_from_extraction
  • Configuration
  • config_to_recognition
  • JStableStructure

6. Derivation chain

7. Falsifier

A negative-cost recognition event would refute cost_nonneg; a zero-cost nontrivial event would refute nontrivial_recognition_positive_cost.

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.

11. Why this belongs in the derivations corpus

The corpus is organized around load-bearing consequences, not around file names. This entry is included because Foundation.RecognitionForcing contributes a reusable theorem or definitional bridge that other pages can cite. Keeping the page public gives readers a stable URL, a JSON record, and a direct path into the Lean theorem page. If the entry becomes redundant with a stronger derivation later, the current slug should be retired rather than silently rewritten; the replacement should absorb its anchors and preserve the audit history.

Falsifier

A negative-cost recognition event would refute cost_nonneg; a zero-cost nontrivial event would refute nontrivial_recognition_positive_cost.

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

@misc{pith-event-cost-positivity, title = "Recognition Event Cost is Nonnegative", author = "Recognition Physics Institute", year = "2026", url = "https://pith.science/derivations/event-cost-positivity", note = "Pith Derivations, version 5" }