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Explain the Lean theorem `dAlembert_to_ODE_general_theorem` in module `IndisputableMonolith.Cost.FunctionalEquation`. Write for an educated reader who knows science and programming but may not know Lean. Cover: (1) what the declaration says in plain English, (2) why it matters in Recognition Science, (3) how to read the formal statement, (4) visible dependencies or certificates in the supplied source, and (5) what this declaration does not prove. Cite only declarations present in the supplied Recognition source.

Big AI job. Grok 4.3 reads the canon and writes a Lean-grounded derivation; usually 20 seconds to 2 minutes. Your answer will appear below.
confidence: low outside recognition cached

The supplied source for module IndisputableMonolith.Cost.FunctionalEquation defines multiple supporting lemmas and theorems on d'Alembert-type functional equations, reparametrizations G and H, cosh identities, continuity from log curvature, and ODE uniqueness infrastructure (including deriv_exp_neg, ode_diagonalization, deriv_neg_self_zero, and deriv_pos_self_zero). However, the specific declaration dAlembert_to_ODE_general_theorem does not appear verbatim anywhere in the provided Lean source. No explanation or formal statement of it can be given from the canon.

outside recognition

Aspects Recognition does not yet address:

  • dAlembert_to_ODE_general_theorem

recognition modules consulted

The Recognition library is at github.com/jonwashburn/shape-of-logic. The model is restricted to the supplied Lean source and instructed not to invent theorem names. Treat output as a starting point, not a verified proof.