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LRAT Certificates for Sparse DFAO State Lower Bounds

Abstract

A kernel-checked LRAT refutation of any certified finite-prefix encoding rules out every globally correct DFAO within the same state budget.

Theorem 1.1 (Finite-prefix refutation gives a global bounded-state exclusion).

Proof. Machine-checked in Lean as D5/S0/Certificates/LRATDFAStateLowerBound.no_global_model_at_most_of_prefix_refutation (✓ std3). ∎

Source. Repository-derived.

Commentary.

Here E is a certified encoding of the prefix-model predicate for the sparse problem P at extent e and state budget b. Global correctness implies finite-prefix fitting; the certified encoding turns any prefix model into a satisfying valuation, while the Mathlib LRAT empty-clause proof excludes every such valuation.

Theorem 1.2 (An upper machine and a lower refutation prove exact minimality).

Proof. Machine-checked in Lean as D5/S0/Certificates/LRATDFAStateLowerBound.minimal_state_count_of_prefix_refutation (✓ std3). ∎

Source. Repository-derived.

Commentary.

Here E is a certified encoding of the prefix-model predicate for P at extent e and state budget s minus one. A globally correct machine at the proposed state count supplies the upper bound. Refuting every finite-prefix model below that count supplies the lower bound, so exact typed state minimality follows.

References