pith. machine review for the scientific record. sign in
module module high

IndisputableMonolith.Complexity.SAT.Completeness

show as:
view Lean formalization →

This module constructs a fully-determined backpropagation state from any total assignment to the variables of a SAT instance. Researchers developing polynomial-time 3SAT algorithms or propagation-based solvers in the Recognition framework would cite the state-completion functions. It assembles imported CNF, XOR, and isolation structures to define complete states and verify their consistency and reachability properties.

claimGiven a total assignment $σ : Fin n → {0,1}$, the map completeStateFrom(σ) produces a backpropagation state in which every variable receives a definite Boolean value, satisfying the isolation invariant and propagation-graph reachability.

background

The module works inside the SAT setting where instances are built from CNF clauses or XOR parity checks over variables indexed by Fin n. Partial assignments appear as maps to Option Bool, with none marking undetermined entries. Isolation supplies XOR families that geometrically separate variable influences, while Backprop tracks determined values under propagation. The module uses these imported definitions to lift a total assignment into a fully fixed state.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the state-completion mechanism required by the polynomial_time_3sat_algorithm_hypothesis. It closes the passage from arbitrary total assignments to fully determined, consistent backpropagation states, enabling the completeness claim under the geometric isolation invariant.

scope and limits

depends on (6)

Lean names referenced from this declaration's body.

declarations in this module (15)