Theorem 3.8: two cognitive limits of one sequence coincide
ProvedCogCons.coincide_of_convergesTo_of_convergesToLet be a cognitive similarity distance on . If a sequence of thoughts converges to both and , then .
import Mathlib import Definitions.Def_CogCons_similarity_distance open CogCons.CognitiveSimilarityDistance
namespace CogCons
theorem coincide_of_convergesTo_of_convergesTo {C : Type*} (D : CognitiveSimilarityDistance C)
(s : ℕ → C) (x₁ x₂ : C) (h₁ : D.ConvergesTo s x₁) (h₂ : D.ConvergesTo s x₂) :
D.coincide x₁ x₂ := by sorry
end CogConsRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic)
Non-blind read-back — not independent testimony. This read-back was written by the same agent that drafted these Lean statements, not by an independent auditor working blind from the code alone. The author knew the intended meaning while writing it, so it may read that intent into the code. Do not treat it as independent verification; compare the Lean code against the source directly.
For every type and every cognitive similarity distance on (a function with values in and a relation with , symmetry, , and the triangle inequality), every sequence and all : if for every there is with for all , and likewise for , then .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.