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MIPRE.Background.LIDT.Co.MainInductionStep.Theorems.RestrictedProbabilities.AnswerValued

Section 6 — Answer-valued restricted probability statement #

The answer-valued form of the restricted-probability bookkeeping for the main induction step: the counterpart of MIPRE/Background/LIDT/MIPStarRE/LDT/MainInductionStep/Theorems/RestrictedProbabilities/AnswerValued.lean in the port of planning/c6b-plan.md (milestone M12, section "Port conventions").

Translation #

A strategy is a SymStrat params.next 𝔓 K or an AnswerSymStrat params.next 𝔓 K (Co/Test/StrategyCore.lean), whose state is the symmetric model strategy.state : SymModel 𝔓 K; the vendored qBipartiteConsDefect strategy.state A B and bipartiteConsError strategy.state 𝒟 A B are strategy.state.qBipartiteConsDefect A B and strategy.state.bipartiteConsError 𝒟 A B, and errors are real numbers (the vendored Error := ℝ). Every restriction keeps the state (xRestrictedAnswerSymStrat_state, xRestrictedAnswerSymStratOfAnswer_state, by rfl), so each restricted defect is a defect of strategy.state. The classical names (mainInductionError, sliceTransverseDirectionWeight, sliceConditioningLoss, weighted_bound_to_average, weighted_embedded_average_le_full_average, avgOver_uniform_restrictedDiagonalSample_append, one_le_k_of_mainInductionError_lt_one, mainInductionSuccessorBound_pred) are the vendored ones, imported through Co RestrictedProbabilities/Base and Co InductionParameterBounds/MainError and reached through explicit open lists. No vendored statement here has a swap, density or normalization hypothesis, so none is dropped. The vendored file-wide respectTransparency false is not needed: the file sets no option.

Two threaded hypotheses #

answerSuccessorRestrictedSliceConclusions applies the predecessor AnswerMainInductionHypothesis (Co MainInductionStep/Statements.lean), which quantifies only over strategies whose model is a finite pair without abelian projections in its first player's operators. So it takes, right after strategy, hS : strategy.state.toBipartite.IsFinitePair and hA : NoAbelianProj strategy.state.toBipartite.opsA, and passes them unchanged to each slice xRestrictedAnswerSymStratOfAnswer params strategy x, whose state is strategy.state by definition. It does not take 1 ≤ params.d: the hypothesis is applied, not proved, here. Its universe binder is AnswerMainInductionHypothesis.{uF, uP, uK}, with 𝔓 : Type uP and K : Type uK, where the vendored one is .{uF, uι}. Every other declaration holds for any symmetric model: restriction neither orthonormalizes nor solves a semidefinite program.

Proofs that differ from the vendored ones #

Not ported #

Every declaration of the vendored file has a counterpart here.

References #

In LionSR/MIPStarRE at commit 507e8122, not in this repository:

The answer-valued slice has the same axis-parallel failure probability as the legacy restricted slice.

The answer-valued slice has the same self-consistency failure probability as the legacy restricted slice.

The answer-valued slice has the same verifier-visible diagonal failure probability as the legacy restricted slice after evaluating line answers at the base point.

The weighted average of the answer-valued restricted axis-parallel slice errors is bounded by the ambient axis-parallel test error.

The weighted average of the answer-valued restricted diagonal slice errors is bounded by the ambient diagonal-line test error.

Data answer-valued weighted restricted axis/diagonal bounds into the public answer-valued restricted-probabilities statement.

theorem MIPRE.LIDT.Co.MainInductionStep.answerRestrictedProbabilities {𝔓 : Type uP} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type uK} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params.next 𝔓 K) (eps delta gamma : ℝ) (hgood : strategy.IsGood eps delta gamma) :
AnswerRestrictedProbabilitiesStatement params strategy eps delta gamma

Answer-valued version of lem:restricted-probabilities.

Answer-valued successor restrictions #

The preceding lemmas start from an ordinary successor strategy and build the answer-valued slice profile used in the current Section 6 successor route. For the simultaneous answer-valued induction theorem, the successor strategy itself has answer-valued diagonal measurements. The next definitions and lemmas record the corresponding restricted-probability theorem without replacing that diagonal measurement by an ordinary low-degree realization.

Slice-wise error profile obtained by restricting an answer-valued successor strategy.

This is the answer-valued analogue of AnswerRestrictedFailureProfile, but with source strategy AnswerSymStrat params.next 𝔓 K and slices xRestrictedAnswerSymStratOfAnswer.

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    Average restricted axis-parallel error over answer-valued successor slices.

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      Average restricted self-consistency error over answer-valued successor slices.

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        Average restricted diagonal-line error over answer-valued successor slices.

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          Restricted-probabilities statement for an answer-valued successor strategy.

          This is a Lean-only statement needed for the simultaneous answer-valued induction route. It has the same three averaged conclusions as the restricted probabilities lemma (\label{lem:restricted-probabilities}), with xRestrictedAnswerSymStratOfAnswer as the slice strategy.

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            The weighted average of the answer-valued successor restricted axis-parallel slice errors is bounded by the ambient answer-valued axis-parallel test error.

            Averaging the self-consistency defect over answer-valued successor restrictions recovers the ambient answer-valued self-consistency defect.

            The j-restricted diagonal defect of the x-restricted answer-valued successor slice at the sample s is the ambient defect at the embedded index and the sample with the height appended to its base.

            Per-index diagonal-line consistency defect of the x-restricted answer-valued successor slice at index j, averaged over the restricted diagonal sample space.

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              Per-index diagonal-line consistency defect of the ambient answer-valued successor strategy at index j, averaged over the ambient restricted diagonal sample space.

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                Averaging the restricted per-index diagonal error of the answer-valued successor slices over the slice height gives the ambient per-index error at the embedded index.

                The average over slice heights of the answer-valued successor slices' diagonal failure probability is the average over embedded indices of the ambient per-index error.

                The weighted average of the answer-valued successor restricted diagonal slice errors is bounded by the ambient answer-valued diagonal-line test error.

                Assemble the weighted answer-valued successor restricted-probability bounds into the averaged statement.

                theorem MIPRE.LIDT.Co.MainInductionStep.answerSuccessorRestrictedProbabilities {𝔓 : Type uP} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type uK} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : AnswerSymStrat params.next 𝔓 K) (eps delta gamma : ℝ) (hgood : strategy.IsGood eps delta gamma) :
                AnswerSuccessorRestrictedProbabilitiesStatement params strategy eps delta gamma

                Answer-valued restricted-probabilities theorem for an answer-valued successor strategy.

                This is the restricted-probability input needed by a simultaneous answer-valued proof of the main induction theorem. It is a construction from the answer-valued successor strategy's own goodness hypotheses, not an additional theorem assumption.

                Recursive predecessor conclusions for the answer-valued successor slices.

                Paper origin: references/ldt-paper/inductive_step.tex:441-454, in the answer-valued successor interface used by the simultaneous induction route.

                This theorem is the formal content of the recursive call: from the answer-valued restricted-probabilities theorem and the predecessor answer-valued induction hypothesis, it obtains the main-induction conclusion for every restricted slice. The hypotheses k ≥ 1 and 400 * params.m * params.d ≤ k are derived here from the nontrivial successor branch, rather than being stored in a source theorem statement. The model hypotheses hS hA, which the predecessor hypothesis requires of each slice, pass to the slices unchanged, a slice having the ambient state.