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 ordinary estimator, correct on the plan's own queries, 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 SoI hypothesis is satisfiable on its own (it holds trivially for a machine that describes nothing), so the theorems here are not vacuous on that account; the remaining hypotheses are what constrain the machines.
The estimator is required to be correct only on the plan's paired and
condition-only queries, whose clocks dominate their output lengths. Correctness
on every instance cannot hold for these ordinary parameters
(not_satisfiesBounds_ordinaryParameters).
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.
Former name of P_eq_NP_of_multiplicative_hard_of_SoI_of_implementations,
which now requires estimator correctness only on the plan's queries.
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
threshold sweep needs every query of the plan to have finite ordinary
complexity; that is the explicit premise hfinite. It holds when the ordinary
machine can print strings within the queries' clocks, which dominate their
output lengths.
Assuming P ≠ NP, the simultaneous SoI, estimator-efficiency, compiler,
and multiplicative-hardness hypotheses are inconsistent. This is the
contrapositive form a future DistNP ⊆ AvgP → SoI theorem (for machines also
meeting the other hypotheses) would combine with to 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.