Encyclopedia Foundation Foundation Rs No Information Loss Rsno Info Loss Cert
ARTICLE 3 claims 3 theorems
Foundation Rs No Information Loss Rsno Info Loss Cert
A machine-checked certificate records three basic facts about a cost function, but its name promises more than its content proves.
The no-information-loss certificate
The declaration RSNoInfoLossCert is a formal structure in the Recognition Science framework's machine-checked library of formal theorems. It bundles three proved facts about the framework's central object, the cost function, which measures the forced price of a recognition event. The three facts are: the cost is zero when the two quantities being compared are equal, the cost is never negative for positive inputs, and a certain threshold constant built from the golden ratio is positive. Each of these is a theorem, checked by the library's kernel, and together they form a certificate, an object that packages the proofs into one reusable unit.
The certificate's name suggests a much larger claim: that the framework proves no information is lost in recognition, that every event is reversible, and that information is preserved exactly as a ledger trace. The library's own documentation is explicit that this is not what the certificate establishes. The certificate proves three general facts about a cost function applied to a ratio of two real numbers. It proves nothing specific to information, black holes, or unitary evolution. The paragraph in the source describing those grander ideas is labeled a research note, a record of where the idea was meant to go, not a result.
The technical reason is that the certificate's cost function is defined without reference to any subject. It takes two real numbers m and e and applies the cost function to their ratio, but nothing in the definition says what m or e represent. To turn this into a theorem about information loss, one would need a definition of m and e in terms of information-theoretic quantities, such as the amount of information before and after an event. That definition is absent. The certificate is therefore a template, a proof that certain algebraic properties hold for any positive real inputs, waiting for a subject-specific interpretation that has not been supplied.
What the certificate does establish is a clean algebraic foundation. The cost function vanishes exactly when its two inputs are equal, it never dips below zero for positive inputs, and the golden-ratio threshold is positive. These are the properties one would want any reasonable measure of discrepancy to have. They are proved once, universally, in a shared template module, and the certificate re-exports them for this specific page. A reader can rely on these three facts as kernel-checked. What the reader cannot rely on is the certificate's name as a promise about physics or information theory.
THEOREM domainCost_at_eq · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
theorem domainCost_at_eq (r : ℝ) (h : r ≠ 0) : domainCost r r = 0 := by
unfold domainCost; rw [div_self h]; exact Jcost_unit0
THEOREM domainCost_nonneg · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
theorem domainCost_nonneg (m e : ℝ) (hm : 0 < m) (he : 0 < e) : 0 ≤ domainCost m e := by
unfold domainCost; exact Jcost_nonneg (div_pos hm he)
THEOREM canonicalThreshold_pos · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
theorem canonicalThreshold_pos : 0 < canonicalThreshold := by
unfold canonicalThreshold; linarith [phi_gt_onePointFive]
What this page does not claim
The certificate does not prove that recognition events are reversible. The certificate does not establish any property of black holes or unitary evolution. The certificate does not define what information is in this framework.
Verify this page
Every tagged claim above names its theorem. To check one yourself rather than trust this page, elaborate the source module with Lean 4 and audit its axiom basis:
$ lake env lean IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
expected axiom basis: [propext, Classical.choice, Quot.sound] (the Lean kernel's standard three; no RS-specific axioms)
A page whose claims cannot be reproduced this way does not ship. In production, every anchor links to the exact declaration in the public source release, and this block carries the build receipt for the page itself.
Derived articles
This page is generated by a question-recursion engine: the questions its answers raise become the next pages. The current agenda, with open targets marked red:
- What definition of m and e would make this certificate a theorem about information preservation?
- Does the framework elsewhere provide a definition of information as a ledger trace?
- What does unitary evolution mean in the framework's own terms, if it is ever formalized?
MACHINE LAYER · GROUNDED CLAIM TABLE · CLICK TO EXPAND
THEOREM domainCost_at_eq · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
theorem domainCost_at_eq (r : ℝ) (h : r ≠ 0) : domainCost r r = 0 := by unfold domainCost; rw [div_self h]; exact Jcost_unit0The cost is zero when the two quantities being compared are equal domainCost_at_eq · IndisputableMonolith/Foundation/RS_No_Information_Loss.leanTHEOREM domainCost_nonneg · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
theorem domainCost_nonneg (m e : ℝ) (hm : 0 < m) (he : 0 < e) : 0 ≤ domainCost m e := by unfold domainCost; exact Jcost_nonneg (div_pos hm he)the cost is never negative for positive inputs domainCost_nonneg · IndisputableMonolith/Foundation/RS_No_Information_Loss.leanTHEOREM canonicalThreshold_pos · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean
theorem canonicalThreshold_pos : 0 < canonicalThreshold := by unfold canonicalThreshold; linarith [phi_gt_onePointFive]a certain threshold constant built from the golden ratio is positive canonicalThreshold_pos · IndisputableMonolith/Foundation/RS_No_Information_Loss.lean