Documentation

MIPRE.Background.LIDT.Co.SelfImprovement.Theorems.Results.HelperCompleteness.Bracketed

Helper completeness: bracketed mass identities, the SDP, and reduced reductions #

The exact bracketed reindexing of the helper-stage mass, the paper-shaped completeness assemblies, the SDP statement lem:sdp with complementary slackness, and the reduced addInU reduction used by the surrounding self-improvement theorem: the counterpart of the vendored SelfImprovement/Theorems/Results/HelperCompleteness/Bracketed.lean (under MIPRE/Background/LIDT/MIPStarRE/LDT/) in the port of planning/c6b-plan.md (milestone M10, section "Port conventions").

A strategy is a SymStrat params 𝔓 K; T, Hhat and Z are local, in 𝔓, and the joint operators are strategy.state.L and strategy.state.R in K β†’L[β„‚] K. The vendored Hhat.liftLeft is Hhat.liftLeft strategy.state, and subMeasMass, ConsRel, BipartiteSSCRel and CompletenessAtLeast are those of the state. The vendored Matrix.sum_mul/Matrix.mul_sum regrouping is Finset.sum_mul/Finset.mul_sum, and the averaging step of helper_mass_eq_avg_pointwise_sandwich_sum is the keystone's ev_leftTensor_averageOperatorOverDistribution, in place of the vendored ev_opTensor_averageOperatorOverDistribution_left at B = 1. The vendored file has no swap or density hypotheses.

The SDP producer. The vendored sdp_statement_with_slackness is unconditional: it is finite-dimensional Slater duality, through the canonical block SDP of the matrix realization and the bridge SelfImprovement/Theorems/Results/SdpMatrixBridge.lean. Here it is M9's summed semidefinite form: Theorem 10 (MIPRE/Foundations/SummedSdp.lean, MIPRE/Background/Orthonormalization/SdpMaximizer.lean), pulled back to the first player's algebra by Doubling.exists_isSummedSdp_A (Co/Doubling/Sdp.lean) and read as the SDP statement by SdpStatementWithSlackness.of_isSummedSdp (Co/SelfImprovement/Theorems/Statements.lean). Theorem 10 maximizes over the faithful trace of a finite pair (reports/c6b-paper-proofs.md, Β§5.1 and Β§5.3), so sdp_statement_with_slackness and sdp_slackness_measurement take hS : strategy.state.toBipartite.IsFinitePair after strategy. Neither needs the absence of abelian projections, ΞΆ > 0 or the doubling.

Dropped vendored files. The pairing script reads only ported files, so the two vendored inputs of the SDP producer that have no Co file are recorded here.

"Dropped" means that no Co declaration uses these files, which a constant-closure walk over the built oleans confirms. They stay in the build's import closure through the classical imports: Co AddInUStep34AndTransfer/{Factored,Selected,Transfer,Variance}, AddInUPointConsistency and HelperSSC/Core import their vendored counterparts for classical lemmas, and each of those reaches the vendored AddInUStep34AndTransfer/Factored, which imports the vendored version of this file, which imports SdpMatrixBridge and through it MatrixRealization/Canonical/Saturated … MatrixRealization/Base. Likewise MakingMeasurementsProjective/NaimarkCore, dropped by M8, stays in the closure through Co SelfImprovement/Defs β†’ vendored SelfImprovement/Defs. Moving those classical declarations into modules that import neither would remove them (planning/c6b-plan.md, "Departures in M10 and M11").

Not ported #

Every declaration of the vendored file has a counterpart here.

References #

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

Exact Hhat reindexing for the helper-stage left-placed mass.

Expanding Hhat = E_u H^u through subMeasMass (Hhat.liftLeft S) = ev (L Hhat.total), swapping the placement through the polynomial sum, and pulling the ev through the per-outcome point average gives the paper identity

⟨ψ| Hhat βŠ— I |ψ⟩ = E_u Ξ£_h ⟨ψ| H^u_h βŠ— I |ψ⟩,

where H^u_h = A^u_{h(u)} Β· T_h Β· A^u_{h(u)} is sandwichedPolynomialOutcomeOperatorAt. This is the algebraic opening of the helper-stage completeness chain at references/ldt-paper/self_improvement.tex, lines 354--356.

The conclusion is exact (not approximate) and depends on no input-consistency or SDP hypotheses.

theorem MIPRE.LIDT.Co.SelfImprovement.sandwichedPolynomialOutcomeOperatorAt_sum_eq_bracketed {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (T : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓) (u : MIPStarRE.LDT.Point params) :
βˆ‘ h : MIPStarRE.LDT.Polynomial params, sandwichedPolynomialOutcomeOperatorAt params strategy T u h = βˆ‘ a : MIPStarRE.LDT.Fq params, ((strategy.pointMeasurement u).outcome a * βˆ‘ h : MIPStarRE.LDT.Polynomial params with h.toFun u = a, T.outcome h) * (strategy.pointMeasurement u).outcome a

Operator-level fiberwise reindexing identity for the per-point sandwich operator. Inside each fiber {h : h u = a} the inner A^u_{h(u)} is constant (equal to A^u_a), and Finset.sum_mul/Finset.mul_sum pull this constant factor through the sum over T_h. Mirrors the operator-level computation in sandwichedPolynomialOutcomeOperatorAt_sum_le_one.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_pointwise_sandwich_sum_eq_bracketed {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (T : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓) (u : MIPStarRE.LDT.Point params) :
βˆ‘ h : MIPStarRE.LDT.Polynomial params, strategy.state.ev (strategy.state.L (sandwichedPolynomialOutcomeOperatorAt params strategy T u h)) = βˆ‘ a : MIPStarRE.LDT.Fq params, strategy.state.ev (strategy.state.L (((strategy.pointMeasurement u).outcome a * βˆ‘ h : MIPStarRE.LDT.Polynomial params with h.toFun u = a, T.outcome h) * (strategy.pointMeasurement u).outcome a))

Per-point bracketing identity for the helper-stage left-placed mass.

Fiberwise reindexing by h ↦ h(u) and pulling A^u_a Β· _ Β· A^u_a through the sum, the placement, and ev give the paper identity at a fixed point u:

Ξ£_h ⟨ψ| H^u_h βŠ— I |ψ⟩ = Ξ£_a ⟨ψ| (A^u_a Β· T_{[h(u) = a]} Β· A^u_a) βŠ— I |ψ⟩,

where H^u_h = A^u_{h(u)} Β· T_h Β· A^u_{h(u)} is sandwichedPolynomialOutcomeOperatorAt, and the bracketed T_{[h(u) = a]} = Ξ£_{h : h u = a} T_h is the inner fiber sum.

This is the identity eq:bracketize-the-expression of references/ldt-paper/self_improvement.tex, lines 356--358, at a fixed point u (before averaging). The conclusion is exact and depends on no input-consistency, SDP, or self-consistency hypotheses.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_mass_eq_avg_pointwise_bracketed_sum {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (T : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓) :
strategy.state.subMeasMass (SubMeas.liftLeft strategy.state (averagedSandwichedPolynomialSubMeas params strategy T)) = MIPStarRE.LDT.avgOver (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) fun (u : MIPStarRE.LDT.Point params) => βˆ‘ a : MIPStarRE.LDT.Fq params, strategy.state.ev (strategy.state.L (((strategy.pointMeasurement u).outcome a * βˆ‘ h : MIPStarRE.LDT.Polynomial params with h.toFun u = a, T.outcome h) * (strategy.pointMeasurement u).outcome a))

Bracketed form of the helper-stage Hhat βŠ— I mass identity.

Combines helper_mass_eq_avg_pointwise_sandwich_sum with the per-point bracketing identity helper_pointwise_sandwich_sum_eq_bracketed:

⟨ψ| Hhat βŠ— I |ψ⟩ = E_u Ξ£_a ⟨ψ| (A^u_a Β· T_{[h(u) = a]} Β· A^u_a) βŠ— I |ψ⟩,

where T_{[h(u) = a]} = Ξ£_{h : h u = a} T_h. This is the second equality in the displayed completeness chain at references/ldt-paper/self_improvement.tex, lines 354--358, composed with eq:bracketize-the-expression. The conclusion is exact and depends on no input-consistency, SDP, or self-consistency hypotheses.

The named bracketed helper-completeness quantity is exactly the helper-stage Hhat βŠ— I mass for the averaged sandwiched family.

This is the Lean form of the equality labelled eq:bracketize-the-expression, after composing the fiberwise reindexing with the preceding expansion of Hhat as the average of the pointwise sandwiched submeasurements.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_hhat_vs_z_of_bracketed_cauchy_schwarz_and_complementary_slackness {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (eps delta : ℝ) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusion params strategy T Hhat Z eps delta) (hmove_left : |helperFirstMovedCompletenessQuantity params strategy T.toSubMeas - helperBracketedCompletenessQuantity params strategy T.toSubMeas| ≀ 2 * √delta) (hremove_right : |helperLinearizedCompletenessQuantity params strategy T.toSubMeas - helperFirstMovedCompletenessQuantity params strategy T.toSubMeas| ≀ √delta) (hslack : βˆ€ (h : MIPStarRE.LDT.Polynomial params), T.outcome h * averagedPointOperator params strategy h = T.outcome h * Z) :
strategy.state.ev (strategy.state.L Z) - 3 * √delta ≀ strategy.state.subMeasMass (SubMeas.liftLeft strategy.state Hhat)

The paper-shaped Hhat-versus-Z comparison assembled from the bracketed expression, the two Cauchy--Schwarz estimates, and complementary slackness.

The first Cauchy--Schwarz hypothesis moves from the bracketed expression E_u Ξ£_a ⟨ψ, (A^u_a T_[h(u)=a] A^u_a) βŠ— I ψ⟩ to helperFirstMovedCompletenessQuantity. The second removes the remaining right-register copy of A^u_a, giving helperLinearizedCompletenessQuantity. The latter is then identified with the dual mass by the SDP complementary-slackness equation.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_hhat_vs_z_of_self_consistency_and_complementary_slackness {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (eps delta : ℝ) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusion params strategy T Hhat Z eps delta) (hssc : strategy.state.BipartiteSSCRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas delta) (hslack : βˆ€ (h : MIPStarRE.LDT.Polynomial params), T.outcome h * averagedPointOperator params strategy h = T.outcome h * Z) :
strategy.state.ev (strategy.state.L Z) - 3 * √delta ≀ strategy.state.subMeasMass (SubMeas.liftLeft strategy.state Hhat)

The Hhat-versus-Z comparison from point self-consistency and complementary slackness.

This is the helper-completeness comparison at eq:gonna-use-this-later-H-versus-Z with the two Cauchy--Schwarz estimates supplied internally by helper_first_move_abs_sub_bracketed_le_two_sqrt_delta and helper_second_move_abs_sub_first_moved_le_sqrt_delta.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_completeness_of_bracketed_cauchy_schwarz_input_consistency {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (G : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓) (eps delta nu : ℝ) (heps : 0 ≀ eps) (hdelta : 0 ≀ delta) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusion params strategy T Hhat Z eps delta) (hmove_left : |helperFirstMovedCompletenessQuantity params strategy T.toSubMeas - helperBracketedCompletenessQuantity params strategy T.toSubMeas| ≀ 2 * √delta) (hremove_right : |helperLinearizedCompletenessQuantity params strategy T.toSubMeas - helperFirstMovedCompletenessQuantity params strategy T.toSubMeas| ≀ √delta) (hslack : βˆ€ (h : MIPStarRE.LDT.Polynomial params), T.outcome h * averagedPointOperator params strategy h = T.outcome h * Z) (hcons : strategy.state.ConsRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas (polynomialEvaluationFamily params G.toSubMeas) nu) :

Helper-stage completeness from the paper-shaped Cauchy--Schwarz estimates, complementary slackness, and input consistency.

Compared with helper_completeness_of_cauchy_schwarz_input_consistency, this version names the expression before the first Cauchy--Schwarz move exactly as it appears in eq:bracketize-the-expression; the equality with the Hhat-mass is supplied internally by helperBracketedCompletenessQuantity_eq_mass.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_completeness_of_self_consistency_complementary_slackness_input_consistency {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (G : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓) (eps delta nu : ℝ) (heps : 0 ≀ eps) (hdelta : 0 ≀ delta) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusion params strategy T Hhat Z eps delta) (hssc : strategy.state.BipartiteSSCRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas delta) (hslack : βˆ€ (h : MIPStarRE.LDT.Polynomial params), T.outcome h * averagedPointOperator params strategy h = T.outcome h * Z) (hcons : strategy.state.ConsRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas (polynomialEvaluationFamily params G.toSubMeas) nu) :

Helper-stage completeness from point self-consistency, complementary slackness, and input consistency.

This theorem removes the two external Cauchy--Schwarz hypotheses from helper_completeness_of_bracketed_cauchy_schwarz_input_consistency; both are proved from the single point-measurement self-consistency hypothesis.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_slackness_eq_of_helper_with_slackness {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (eps delta : ℝ) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusionWithSlackness params strategy T Hhat Z eps delta) (h : MIPStarRE.LDT.Polynomial params) :
T.outcome h * averagedPointOperator params strategy h = T.outcome h * Z

Extract the orientation of complementary slackness used by the helper completeness proof from the strengthened helper conclusion.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_hhat_vs_z_of_self_consistency_and_helper_slackness {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (eps delta : ℝ) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusionWithSlackness params strategy T Hhat Z eps delta) (hssc : strategy.state.BipartiteSSCRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas delta) :
strategy.state.ev (strategy.state.L Z) - 3 * √delta ≀ strategy.state.subMeasMass (SubMeas.liftLeft strategy.state Hhat)

The Hhat-versus-Z comparison from point self-consistency and a helper conclusion carrying SDP complementary slackness.

This is the version of eq:gonna-use-this-later-H-versus-Z whose inputs are a single strengthened helper conclusion and point-measurement self-consistency, rather than a separate family of slackness equations.

theorem MIPRE.LIDT.Co.SelfImprovement.helper_completeness_of_self_consistency_helper_slackness_input_consistency {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (G : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓) (eps delta nu : ℝ) (heps : 0 ≀ eps) (hdelta : 0 ≀ delta) {T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓} {Hhat : SubMeas (MIPStarRE.LDT.Polynomial params) 𝔓} {Z : 𝔓} (hhelper : SelfImprovementHelperConclusionWithSlackness params strategy T Hhat Z eps delta) (hssc : strategy.state.BipartiteSSCRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas delta) (hcons : strategy.state.ConsRel (MIPStarRE.LDT.uniformDistribution (MIPStarRE.LDT.Point params)) strategy.pointMeasurement.toIdxSubMeas (polynomialEvaluationFamily params G.toSubMeas) nu) :

Helper-stage completeness from point self-consistency, a helper conclusion carrying SDP complementary slackness, and input consistency.

This theorem removes the standalone hslack hypothesis from helper_completeness_of_self_consistency_complementary_slackness_input_consistency; the slackness equations are read from SelfImprovementHelperConclusionWithSlackness.

theorem MIPRE.LIDT.Co.SelfImprovement.sdp_statement_with_slackness {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (hS : strategy.state.toBipartite.IsFinitePair) :

Paper-origin statement for lem:sdp with complementary slackness.

Paper origin: references/ldt-paper/self_improvement.tex lines 62--88 state \label{lem:sdp} for the primal/dual SDP pair and assert optimal witnesses {T_g}, Z with βˆ‘ g, T_g = I and T_g Z = T_g A_g. Lines 168--190 prove this by Slater strong duality and complementary slackness.

The vendored statement is unconditional: its proof is finite-dimensional Slater duality, through the canonical block SDP of the matrix realization. Here the proof is M9's summed semidefinite form: Theorem 10 (MIPRE.Orthonormalization.exists_isSummedSdp_finitePairA) maximizes over the faithful trace of a finite pair (reports/c6b-paper-proofs.md, Β§5.1 and Β§5.3), so the port needs hS, that the model's bipartite reading is a finite pair. Doubling.exists_isSummedSdp_A pulls the solution back to 𝔓 for A_g = averagedPointOperator params strategy g, which is positive, hence self-adjoint, and SdpStatementWithSlackness.of_isSummedSdp reads it as the statement.

theorem MIPRE.LIDT.Co.SelfImprovement.sdp_slackness_measurement {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ K] [CompleteSpace K] (params : MIPStarRE.LDT.Parameters) [MIPStarRE.LDT.FieldModel params.q] (strategy : SymStrat params 𝔓 K) (hS : strategy.state.toBipartite.IsFinitePair) :
βˆƒ (T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓) (Z : 𝔓), 0 ≀ Z ∧ (βˆ€ (g : MIPStarRE.LDT.Polynomial params), 0 ≀ sdpDualSlackOperator params strategy Z g) ∧ βˆ€ (g : MIPStarRE.LDT.Polynomial params), sdpComplementarySlacknessEquation params strategy T.toSubMeas Z g

Displayed measurement and complementary-slackness conclusion of lem:sdp.

Paper origin: references/ldt-paper/self_improvement.tex lines 82--88 state that the Section 9 SDP admits a primal family {T_g} with βˆ‘ g, T_g = I and a dual operator Z satisfying T_g Z = T_g A_g for every polynomial g. This theorem extracts exactly that complete-measurement and slackness form from sdp_statement_with_slackness. As there, the vendored theorem is unconditional (finite-dimensional Slater duality), and the port takes hS, that the model's bipartite reading is a finite pair, because Theorem 10 uses the faithful trace of a finite pair (reports/c6b-paper-proofs.md, Β§5.1 and Β§5.3).

theorem MIPRE.LIDT.Co.SelfImprovement.addInU {𝔓 : Type u_1} [CStarAlgebra 𝔓] [PartialOrder 𝔓] [StarOrderedRing 𝔓] {K : Type u_2} [NormedAddCommGroup K] [InnerProductSpace β„‚ 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) (T : Measurement (MIPStarRE.LDT.Polynomial params) 𝔓) :
AddInUStatement params strategy T eps delta

Reduced version of lem:add-in-u.

This keeps only the global-variance consequence used downstream, derived from the post-triangle six-step edge-transport chain bound via globalVarianceOfPointsFromTransportChainBound and localVarianceTransportChainBound. The gamma and hgood arguments are retained so that this reduced theorem matches the surrounding self-improvement API and can be strengthened back to the full paper statement without a caller-wide signature change. The selection-dependent transfer inequality from the paper, together with its dependence on an auxiliary family M and the averaged family H, is not formalized here.