Final-fields completeness construction #
This module contains the completeness transport used to fill the completeness
field of SelfImprovementFinalFields. The statements formalize the passage
from helper-stage completeness, through the orthonormalization SDD step, to the
projective final-field completeness estimate in
references/ldt-paper/self_improvement.tex, lines 351--414 and 713--717.
Final-fields completeness construction #
The earlier interface combined several paper-side final-field targets into
one hypothesis block. The lemmas below isolate the completeness field, exposing
the precise analytic ingredient used here — the helper-stage
completeness lower bound on Hhat.liftLeft — and discharging the rest of the
transport algebra (orthonormalization SDD step) with a checked proof.
Concretely, completeness_transport_through_orthonormalization is a generic
transport theorem that lifts completenessTransferSelfConsistentA (already
proved in Preliminaries.SelfConsistency.Extensions) to the
Unit-indexed constant-family setting used by selfImprovement.
final_fields_completeness_of_helper_completeness specializes that to the
self-improvement parameters and yields the precise (1 - nu) - δ - 2 √ε
target on H.toSubMeas.liftLeft.
This does not add an additional residual hypothesis: the hypothesis is the
single named paper estimate hhelperCompleteness, which corresponds to
self_improvement.tex lines
351--414 (helper completeness, especially the Cauchy--Schwarz step at lines
366--414) followed by the projective transfer at lines 713--717. The remaining
final-field constructions (point-consistency, self-closeness, and
projective-residual) are handled by separate named lemmas.
Paper anchors:
references/ldt-paper/self_improvement.texlines 351--414 — helper-stage completeness⟨ψ|Hhat ⊗ I|ψ⟩ ≥ 1 - ν - O(...), with the Cauchy--Schwarz argument fed by the input consistency hypothesis onGandnuat lines 366--414. The blueprint mirror isblueprint/src/chapter/ch07_self_improvement.texlines 101--142.references/ldt-paper/self_improvement.texlines 713--717 — projective transport of completeness fromHhattoHusing strong self-consistency and the orthonormalization SDD bound.
Completeness transport through helper-stage strong self-consistency and the
orthonormalization SDD step, for the Unit-indexed constant-family setting
used by the self-improvement pipeline.
This is the orthonormalization transport ingredient of the final-fields
completeness construction for thm:self-improvement. Given:
hcomplete— completeness of the helper-stage submeasurementAat levelm, expressed assubMeasMass ψ A.liftLeft ≥ m. This is the paper estimate supplied by the Cauchy--Schwarz argument inreferences/ldt-paper/self_improvement.texlines 351--414, especially lines 366--414, which uses the incoming consistency hypothesis onGandnu.hssc— bipartite strong self-consistency ofA, proved by the helper-SSC construction.hsdd— the orthonormalization SDD bound between the left lifts ofAandB(the SDD bound supplied by the orthonormalization step insideselfImprovement).
The conclusion is the projective-stage completeness of B.liftLeft with the
natural sum-of-errors m - δ - 2 √ε from the paper transport.
The proof reduces to completenessTransferSelfConsistentA after rewriting
idxSubMeasMass of a Unit-indexed constant family as subMeasMass.
Final-fields completeness construction.
Given the still-missing helper-stage completeness lower bound on Hhat.liftLeft
together with the helper-stage strong self-consistency of Hhat and the
orthonormalization SDD bound between Hhat.liftLeft and H.toSubMeas.liftLeft
(the latter two are already produced inside selfImprovement), this checked
theorem derives the completeness field of SelfImprovementFinalFields.
The output bound is the natural paper sum
(1 - nu) - selfImprovementHelperError - selfImprovementHelperError
- 2 * sqrt (selfImprovementOrthogonalizationError)
rather than (1 - nu) - selfImprovementError. Comparing the two thresholds is
a separate numerical step on the explicit error definitions
(selfImprovementHelperError, selfImprovementOrthogonalizationError,
selfImprovementError) that does not require any new analytic input.
This isolates the analytic input for the completeness field of
SelfImprovementFinalFields as the single named paper estimate
hhelperCompleteness matching
references/ldt-paper/self_improvement.tex lines 351--414, which is the only
analytic step used by this construction (especially the Cauchy--Schwarz argument
at lines 366--414 that feeds on G/nu and the strategy's input consistency). The
blueprint mirror is blueprint/src/chapter/ch07_self_improvement.tex lines
101--142.
The hypothesis uses the weaker (1 - nu) - selfImprovementHelperError
bookkeeping expected by the final-fields chain. A future helper-completeness
construction may prove the paper's tighter 1 - ν - 3√δ bound and then weaken it
to this threshold.
It does not assume the projective completeness it produces, and it does not restate a combined final-fields hypothesis block.
Literal-threshold completeness construction under the standard unit-interval hypotheses.
This wraps final_fields_completeness_of_helper_completeness with the
numerical absorption final_fields_completeness_error_le_selfImprovementError,
giving exactly the completeness threshold used in
SelfImprovementFinalFields.