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Quantitative common-test error obstruction for synthetic parity

Lax342547.SyntheticRankTransfer · concepts/Lax342547/SyntheticRankTransfer.lean · lax-342547

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    Natural Language Statement

    Lemma

    On one common reference law, parity and all small coordinate-slice tests are incompatible once the synthetic identity exceeds the sum of local ranks. Separate empirical density caps and variance bounds transfer every test. Their total prediction and comparison errors must then be at least one. This is a conditional finite transfer theorem; constructing the actual synthetic reference law and its empirical test couplings remains necessary.

    Concept map
    93 concepts
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    Exact-image bounds for independent affinecolumnsOrdered atom products in the actualgradient formPoint atoms and finite flavor distributionsSparse unselected primal vectors in barredspaces lie in the pinsBarred response spaces and the actualobstruction rank budgetThe exact space of binary base momentsRank control for the frozen baseline onprimal inputsFormal ordered product bits realizesymmetric correctionsBounded allowed derivatives preserving theactual linearized responseAllowed channel changes and the actual tableinjection testsMarginal transfer of common affine-slice testsConcrete cut-space testers and the orderedmixer formConcrete coordinates, quadratic testers, andthe self-Gram formNumerical recipes prescribe the concretegradients on witness atomsThe affine minus-column law at a fixed plusframeExact conditioning costs and recovery offinite probability massesEntropy progress for residual pair lawsCut profiles and the constant kernelThe full linearized response on pairs ofactual cut profilesFull response obstructions are effectiveprofiles plus selected atomsFinite empirical variance from atwo-coefficient comparisonEntropy along feasible mixture lines,including new supportFull feasible support and finite informationprojectionExact image pins in nominal coefficientspacesFinite linear images and their uniform-lawdensity boundsFinite independent sampling and vertexexception tailsAmbient symmetries and frame marginalsFresh key directions are independent modulotable spacesBaseline bilinear extensions retaining allfrozen rows and columnsBaseline contractions on the selected atomsThe symmetric binary gradient formGram-conditioned columns and theirrank-failure probabilityTwo-sided Gram normalization forindividually injective framesThe binary hole relationPaying the reference-image conditioning anddimension costsUniform injective frames and channeltranspose failureFresh point-ray spans are disjoint from thenominal table spacesLow-rank Boolean moments have boundedlabel supportTriangle relations separate into individuallabel blocksBoolean point moments with restricted basecoordinatesThe 3K+28 baseline bound in the actualnominal coordinatesPrimal blocks of the nominal spaces andtheir bounded table partSquared restriction cost for independent uniteventsEndpoint projections of paired pure-responseannihilatorsActual paired-witness key spaces satisfy thebaseline hypothesesBinary prescriptions at all endpoints of apaired scalar recipeFull paired witness lists and scalar recipeequationsSparse pin exclusions with arbitrary basecoefficientsSparse residual contractions belong to theactual primal pinsRetractions with bounded rank on theprimal inputsExact images mixing independent injectiveframesJoint minus images after exposing severalplus framesPrimal projections and preservation ofeffective spacesPure obstructions on the actual pair of cutprofilesWalsh bounds for independent image lawsand separated phasesExtracting fresh label coefficients throughpin quotientsRank of a tensor killed in two quotientspacesRank-controlled pure forms on the actualbarred quotientsBounded baselines for both actual crossorientationsActual frame observations realize thenominal channel contractionsRaw matrix frames and their tensorrealizationThe finite uniform raw-vertex lawOriginal retained-cell laws from finite PMFsGradient residuals vanish on effective profilesand selected atomsCoupled scalar recipes give consistent atomgradientsJoint reference image caps across both signsand all drawsThe full reference cap for exact pin eventsFinite relative entropy and support costsRemoving selected atoms leaves onlyunselected component labelsMatrix representations and the boundedresidual rank ingredientsUnrestricted linearized solutions for actualscalar recipesRank loss under restriction of a bilinear formImage caps inside original retained cellsSelected tensor blocks of actual pureobstructionsA selected affine ray determines its momentblockSubtracting selected atoms preserves pureannihilationSelected label coefficients agree across thecut profileInterpolation of finitely many binary selectorlabelsSmall affine slices force globalcross-coefficient rankNumerical cross tables, injection flags, andunary admissibilityUnselected sparse vectors cannot concealfresh key coefficientsA uniform label budget for all sparse pinvectorsConsistent symmetric binary prescriptions ontwo witness listsQuantitative common-test error obstructionfor synthetic parityTable contractions on effective profiles andtheir full extensionsTable coordinates and private channelcomplementsMajority intersections in the cyclic taggeometryPure bilinear responses detect quotienttensorsQuotient extractors isolate individual tensorlabel blocksWell-defined channel contractions onprojected tensor spacesAdmissible pair lawsOrthogonality and finite Walsh correlationboundsWitness atoms and their numerical testerrecords
    Proven claimDefinitionThis conceptRelated conceptA → B: B builds on A
    Evidence

    This concept declares 6 statements. Each proof establishes one of them relative to its assumptions.

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    1import Lax342547.SmallSliceRank
    2import Lax342547.CommonTestTransfer
    3
    4/-!
    5---
    6title: Quantitative common-test error obstruction for synthetic parity
    7type: lemma
    8---
    9On one common reference law, parity and all small coordinate-slice tests
    10are incompatible once the synthetic identity exceeds the sum of local ranks.
    11Separate empirical density caps and variance bounds transfer every test.
    12Their total prediction and comparison errors must then be at least one.
    13This is a conditional finite transfer theorem; constructing the actual
    14synthetic reference law and its empirical test couplings remains necessary.
    15-/
    16
    17namespace Lax342547.SyntheticRankTransfer
    18noncomputable section
    19open Lax342547.MomentSpace Lax342547.SmallSliceRank Lax342547.RelativeEntropy
    20open scoped BigOperators
    21set_option backward.isDefEq.respectTransparency false
    22
    23def indicator {Ω : Type} (C : Ω → Prop) (ω : Ω) : ℝ := by
    24 classical
    25 exact if C ω then 1 else 0
    26
    27def eventMean {Ω : Type} [Fintype Ω] (μ : Ω → ℝ) (C : Ω → Prop) : ℝ :=
    28 ∑ ω,μ ω*indicator C ω
    29
    30abbrev Points (m : ℕ) := Fin m → Binary
    31
    32abbrev Tests (T : Type) (s m : ℕ) :=
    33 (Points m × Points m) ⊕ (T × (Fin (2*s+1) → Fin m) × (Fin (2*s+1) → Fin m))
    34
    35def testCondition {T : Type} [Fintype T] (s m : ℕ)
    36 (F : T → Points m → Points m → Binary) : Tests T s m → Prop
    37 | Sum.inl (x,y) => (∑ l,F l x y) = dotProduct x y
    38 | Sum.inr (l,r,c) => Function.Injective r → Function.Injective c →
    39 HasProducts s (fun x y => F l (liftCoordinates r x) (liftCoordinates c y))
    40
    41axiom incompatible_events {J Ω : Type} [Fintype J] [Fintype Ω]
    42 (μ : Ω → ℝ) (hμ : Probability μ) (C : J → Ω → Prop)
    43 (hincompatible : ∀ ω,¬∀ j,C j ω) : 1 ≤ ∑ j : J,(1-eventMean μ (C j))
    44
    45axiom transferred_incompatible_events {J Ω : Type} [Fintype J] [Fintype Ω]
    46 (A : J → Type) [∀ j,Fintype (A j)]
    47 (μ : Ω → ℝ) (hμ : Probability μ) (C : J → Ω → Prop)
    48 (hincompatible : ∀ ω,¬∀ j,C j ω)
    49 (ρ σ F : ∀ j,A j → ℝ) (hσ : ∀ j,Probability (σ j))
    50 (L ε η : J → ℝ) (hL : ∀ j,0 ≤ L j)
    51 (hcap : ∀ j o,σ j o ≤ L j*ρ j o)
    52 (hvar : ∀ j,(∑ o,ρ j o*(F j o-eventMean μ (C j))^2) ≤ ε j)
    53 (hsuccess : ∀ j,1-η j ≤ ∑ o,σ j o*F j o) :
    54 1 ≤ ∑ j : J,(η j+Real.sqrt (L j*ε j))
    55
    56axiom rank_tests_incompatible {T : Type} [Fintype T] (s m : ℕ)
    57 (F : T → Points m → Points m → Binary) (hm : 2*s*Fintype.card T < m) :
    58 ¬∀ j,testCondition s m F j
    59
    60axiom prediction_error_budget {T Ω : Type} [Fintype T] [Fintype Ω]
    61 (s m : ℕ) (hm : 2*s*Fintype.card T < m)
    62 (μ : Ω → ℝ) (hμ : Probability μ)
    63 (pred : Ω → T → Points m → Points m → Binary)
    64 (A : Tests T s m → Type) [∀ j,Fintype (A j)]
    65 (ρ σ F : ∀ j,A j → ℝ) (hσ : ∀ j,Probability (σ j))
    66 (L ε η : Tests T s m → ℝ) (hL : ∀ j,0 ≤ L j)
    67 (hcap : ∀ j o,σ j o ≤ L j*ρ j o)
    68 (hvar : ∀ j,(∑ o,ρ j o*(F j o-eventMean μ (fun ω => testCondition s m (pred ω) j))^2) ≤ ε j)
    69 (hsuccess : ∀ j,1-η j ≤ ∑ o,σ j o*F j o) :
    70 1 ≤ ∑ j : Tests T s m,(η j+Real.sqrt (L j*ε j))
    71
    72axiom uniform_prediction_error {T Ω : Type} [Fintype T] [Fintype Ω]
    73 (s m : ℕ) (hm : 2*s*Fintype.card T < m)
    74 (μ : Ω → ℝ) (hμ : Probability μ)
    75 (pred : Ω → T → Points m → Points m → Binary)
    76 (A : Tests T s m → Type) [∀ j,Fintype (A j)]
    77 (ρ σ F : ∀ j,A j → ℝ) (hσ : ∀ j,Probability (σ j))
    78 (L ε η : ℝ) (hL : 0 ≤ L)
    79 (hcap : ∀ j o,σ j o ≤ L*ρ j o)
    80 (hvar : ∀ j,(∑ o,ρ j o*(F j o-eventMean μ (fun ω => testCondition s m (pred ω) j))^2) ≤ ε)
    81 (hsuccess : ∀ j,1-η ≤ ∑ o,σ j o*F j o) :
    82 1 ≤ (Fintype.card (Tests T s m) : ℝ)*(η+Real.sqrt (L*ε))
    83
    84axiom exists_error_margin (J : Type) [Fintype J] (L : ℝ) (hL : 0 ≤ L) :
    85 ∃ η : ℝ,0 < η ∧ ∃ ε : ℝ,0 < ε ∧
    86 (Fintype.card J : ℝ)*(η+Real.sqrt (L*ε)) < 1
    87
    88end
    89end Lax342547.SyntheticRankTransfer
    90
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