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Explain the Lean theorem `composition_law_equiv_coshAdd` 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 contains the module IndisputableMonolith.Cost.FunctionalEquation with multiple declarations on the J-cost functional equation, including Jcost_G_eq_cosh_sub_one, Jcost_cosh_add_identity, dAlembert_even, dAlembert_double, and dAlembert_product. However, the specific declaration named composition_law_equiv_coshAdd is absent from the provided Lean source. No derivation or explanation of that exact theorem can be given from the canon.

outside recognition

Aspects Recognition does not yet address:

  • declaration composition_law_equiv_coshAdd

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.