The multiplicative-hardness consequence of conditional MinKT SoI #
This module composes the complete finite spine of Hirahara's conditional MinKT
argument. An admissible primitive clock supplies a polynomial slack-amplified
gap clock, an operational condition-first compiler supplies the paired upper
chain, and one correct ordinary estimator plus time-bounded symmetry of
information supplies the conditional estimator. If the induced threshold
language is in P, NP-hardness of the corresponding multiplicative gap forces
P = NP.
Every remaining research obligation stays explicit in the theorem statement; in particular, this result does not assert the SoI hypothesis, a concrete universal evaluator, estimator efficiency, or multiplicative-gap hardness.
The complete finite multiplicative-hardness consequence of the slack-amplified SoI reduction.
The clock admissibility hypothesis proves that the final conditional clock is both widening and polynomially bounded. Only widening is needed to construct the promise; the polynomial bound remains available as part of the public parameter theorem.
The implementation-level form of the complete consequence. Polynomial-time
encoded query builders and an encoded ordinary estimator construct the induced
threshold language in P, so no separate semantic membership premise remains.
Implementation-level collapse using ordinary estimator correctness only on the plan's paired and condition-only query families.
Replace the abstract ordinary estimator and its encoded implementation by
an FP solver for logarithmic GapMINKT.
The bounded threshold sweep supplies both the Fact 3.4 estimator sandwich and the encoded estimator consumed by the two-query conditional reduction. The operational pair-composition contract proves finiteness of both query families, so no separate source-finiteness premise remains.
Assuming P ≠ NP, the simultaneous SoI, estimator-efficiency, compiler,
and multiplicative-hardness hypotheses are inconsistent. This is the precise
contrapositive needed before a future DistNP ⊆ AvgP → SoI theorem can rule
out Heuristica.
Under P ≠ NP, implementation-level estimator efficiency and
multiplicative hardness rule out the corresponding time-bounded SoI statement.
Under P ≠ NP, an efficient logarithmic GapMINKT solver, the encoded
two-query plan, and multiplicative conditional-gap hardness rule out the
corresponding SoI statement.