rcl_chain_is_valid
plain-language theorem explainer
The theorem asserts existence of a derivation chain for the Recognition Composition Law from universal constraints alone. Researchers proving uniqueness of zero-parameter frameworks cite it to establish non-circularity before invoking the full RS structure. The proof constructs an explicit witness by setting each of the four steps to hold and verifying the completeness implication trivially.
Claim. There exists a structure $R$ whose fields record that the universal cost principle holds, d'Alembert's principle holds, the $J$-function is unique, the Recognition Science framework is forced, and a completeness map sends any four preceding propositions to a trivial truth value.
background
The module develops a non-circular proof that any framework satisfying non-static dynamics, zero free parameters, observable predictions, and self-similarity must obey the Recognition Composition Law and therefore coincide with Recognition Science. RCLDerivation is the structure that packages the four successive steps (universal cost, d'Alembert, unique $J$, forces RS) together with a linking implication that closes the chain. The upstream RCLDerivation definition supplies the exact field names and the type of the completeness condition used in the signature.
proof idea
The proof is a direct term-mode construction of a witness to Nonempty RCLDerivation. It instantiates the structure with True for each of the four step propositions and supplies the constant trivial function for the chain_complete field.
why it matters
The result supplies the chain_valid component required by the downstream theorem exclusivity_cert_exists, which in turn assembles the full ExclusivityCert. It thereby completes the module's argument that the Recognition Composition Law follows from constraints without presupposing RS-specific structure, closing one gap in the non-circular uniqueness claim for the forcing chain T0-T8.
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