Documentation

MIPRE.Background.LIDT.Co.Test.StrategyFailures

Symmetrized-strategy failure probabilities and test bounds #

Failure-probability surrogates and basic low-individual-degree test bounds for the split strategy interface: the counterpart of MIPRE/Background/LIDT/MIPStarRE/LDT/Test/StrategyFailures.lean in the port of planning/c6b-plan.md (milestone M0, section "Port conventions").

The vendored file imports the role register Test/StrategyRole/Algebra.lean (the two-role symmetrization of a two-space strategy, which the port replaces by the doubling of milestone M2), but none of its declarations mentions it: the failure probabilities and IsGood are stated over SymStrat alone. So this file imports only Co/Test/StrategyCore.lean, and the failure probabilities are stated over the ported SymStrat params 𝔓 K, whose state is a symmetric model strategy.state : SymModel 𝔓 K; the defects are the bipartite ones of Co/Test/Defs.lean, with the point answers placed by S.L and the line answers by S.R.

The arithmetic lemma three_summand_bounds_of_average_le is classical; it is restated here (with ℝ for the vendored Error := ℝ) rather than imported, since importing the vendored file would bring in the role register.

Not ported #

Every declaration of the vendored file has a counterpart here. The vendored file declares nothing about the role register, so no role-register-only declaration is dropped.

Symmetrized strategies and tested-branch bounds #

Failure surrogate for the axis-parallel lines test. Point answers on the left factor (S.L), line answers (evaluated at the base point) on the right factor (S.R) of the symmetric model.

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    Failure surrogate for the self-consistency test. Uses the bipartite SSC defect (cross-factor overlap). For projective measurements this equals bipartiteConsError between the same measurement on both factors.

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      Failure surrogate for the diagonal lines test. Averages over the restriction index j ∈ {0, …, m − 1}, then over the j-restricted diagonal test. For each j, direction vectors have the last m − j − 1 coordinates equal to zero.

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        structure MIPRE.LIDT.Co.SymStrat.IsGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] {params : MIPStarRE.LDT.Parameters} [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (eps delta gamma : ℝ) :

        The paper's notion of an (ε,δ,γ)-good symmetric strategy.

        Matches the paper's Definition 3.1: three test-passing bounds with no extra hypotheses. The reparametrization covariance that was formerly listed here is now a structural property of SymStrat, where it belongs (the paper treats diagonal measurements as geometrically covariant by construction).

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          The diagonal-line failure surrogate is nonnegative.

          theorem MIPRE.LIDT.Co.eps_nonneg_of_isGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) {eps delta gamma : ℝ} (hgood : strategy.IsGood eps delta gamma) :
          0 ≤ eps

          A good symmetric strategy has a nonnegative axis-parallel error parameter ε.

          theorem MIPRE.LIDT.Co.delta_nonneg_of_isGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) {eps delta gamma : ℝ} (hgood : strategy.IsGood eps delta gamma) :
          0 ≤ delta

          A good symmetric strategy has a nonnegative self-consistency error parameter δ.

          theorem MIPRE.LIDT.Co.gamma_nonneg_of_isGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) {eps delta gamma : ℝ} (hgood : strategy.IsGood eps delta gamma) :
          0 ≤ gamma

          A good symmetric strategy has a nonnegative diagonal-lines error parameter γ.

          Answer-valued symmetric strategies #

          The answer-valued diagonal-line failure surrogate is nonnegative.

          theorem MIPRE.LIDT.Co.answer_eps_nonneg_of_isGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : AnswerSymStrat params 𝔓 K) {eps delta gamma : ℝ} (hgood : strategy.IsGood eps delta gamma) :
          0 ≤ eps

          A good answer-valued symmetric strategy has a nonnegative axis-parallel error parameter ε.

          theorem MIPRE.LIDT.Co.answer_delta_nonneg_of_isGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : AnswerSymStrat params 𝔓 K) {eps delta gamma : ℝ} (hgood : strategy.IsGood eps delta gamma) :
          0 ≤ delta

          A good answer-valued symmetric strategy has a nonnegative self-consistency error parameter δ.

          theorem MIPRE.LIDT.Co.answer_gamma_nonneg_of_isGood {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace ℂ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : AnswerSymStrat params 𝔓 K) {eps delta gamma : ℝ} (hgood : strategy.IsGood eps delta gamma) :
          0 ≤ gamma

          A good answer-valued symmetric strategy has a nonnegative diagonal-lines error parameter γ.

          theorem MIPRE.LIDT.Co.three_summand_bounds_of_average_le {axis point diagonal eps : ℝ} (haxis : 0 ≤ axis) (hpoint : 0 ≤ point) (hdiagonal : 0 ≤ diagonal) (hmain : (axis + point + diagonal) / 3 ≤ eps) :
          axis ≤ 3 * eps ∧ point ≤ 3 * eps ∧ diagonal ≤ 3 * eps

          If three nonnegative summands have average at most eps, each summand is at most 3 * eps.