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Joint matrix-image caps for retained leaf laws

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

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    Natural Language Statement

    Lemma

    Joint fresh linear images flatten to the rank-factor matrix tuples used by Walsh characters. Exact leaf caps give all-rank component image bounds on original retained cells, including the rank-zero normalization case.

    Concept map
    108 concepts; 4 descendants hidden
    100%
    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 budgetCompression preserving allowed pointmoments and the actual cut domainThe 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 testsRank-controlled factorization throughallowed orthogonal channelsCoefficient phases as dot products ofrank-factor imagesJoint retained-cell characters across allcomponentsA bounded-rank pure correction for theactual scalar recipeConcrete 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 massesCompression that fixes pin/key vectors andpreserves target matricesCut profiles and the constant kernelThe full linearized response on pairs ofactual cut profilesFull response obstructions are effectiveprofiles plus selected atomsExact image pins in nominal coefficientspacesFinite linear images and their uniform-lawdensity boundsFinite scalar agreement from binarycharacter boundsAmbient symmetries and frame marginalsFresh key directions are independent modulotable spacesBaseline bilinear extensions retaining allfrozen rows and columnsExact agreement of zero quotient charactersUnary records determine every frozen crossentryBaseline contractions on the selected atomsThe symmetric binary gradient formGram-conditioned columns and theirrank-failure probabilityTwo-sided Gram normalization forindividually injective framesScalar agreement after quotient characterestimatesThe binary hole relationPaying the reference-image conditioning anddimension costsUniform injective frames and channeltranspose failureAppend fresh directions to the independentkey tupleExact leaf entropy bounds joint key andadditional imagesFresh point-ray spans are disjoint from thenominal table spacesLow-rank Boolean moments have boundedlabel supportTriangle relations separate into individuallabel blocksJoint matrix-image caps for retained leaflawsJoint fresh-image entropy on originalretained leaf cellsExtracting a leaf with all remainingexact-image capsAll-rank tuple image caps from exact-pin leafentropyBoolean point moments with restricted basecoordinatesThe 3K+28 baseline bound in the actualnominal coordinatesPrimal blocks of the nominal spaces andtheir bounded table partEndpoint projections of paired pure-responseannihilatorsPaired-frame orbit under the primal anddual actionsActual 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 framesSplit quotient projections preserve coefficientcharactersPrimal projections and preservation ofeffective spacesPure obstructions on the actual pair of cutprofilesWalsh bounds for independent image lawsand separated phasesCompression on the actual barred nominalquotientsExtracting fresh label coefficients throughpin quotientsRank factors independent modulo the actualfrozen spacesRank of a tensor killed in two quotientspacesFull rank coefficient factorizationsRank-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 eventsRemoving selected atoms leaves onlyunselected component labelsThe bounded pure remainder of an actualscalar recipeMatrix representations and the boundedresidual rank ingredientsUnrestricted linearized solutions for actualscalar recipesRank loss under restriction of a bilinear formActual cross Gram characters on frozenunary cellsImage 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 selectorlabelsNumerical cross tables, injection flags, andunary admissibilityUnselected sparse vectors cannot concealfresh key coefficientsA uniform label budget for all sparse pinvectorsLow-rank tester routing along tag starsConsistent symmetric binary prescriptions ontwo witness listsTable contractions on effective profiles andtheir full extensionsTable coordinates and private channelcomplementsMajority intersections in the cyclic taggeometryExplicit low-rank matrices for thewhole-space gradient targetThe fifteen-rank witness tester targetPure bilinear responses detect quotienttensorsQuotient extractors isolate individual tensorlabel blocksWell-defined channel contractions onprojected tensor spacesOrthogonality and finite Walsh correlationboundsWitness atoms and their numerical testerrecords
    Proven claimDefinitionThis conceptRelated conceptA → B: B builds on A
    Evidence

    This concept declares 4 statements. Each proof establishes one of them relative to its assumptions.

    3 original_leaf_all_rank_block_cap proven

    4 original_leaf_block_cap proven

    Lean source view on GitHub

    1import Lax342547.LeafCellImages
    2import Lax342547.ComponentCharacters
    3import Lax342547.PairedFrames
    4
    5/-!
    6---
    7title: Joint matrix-image caps for retained leaf laws
    8type: lemma
    9---
    10Joint fresh linear images flatten to the rank-factor matrix tuples used by Walsh characters. Exact leaf caps give all-rank component image bounds on original retained cells, including the rank-zero normalization case.
    11-/
    12
    13namespace Lax342547.LeafBlockCaps
    14
    15open Lax342547.MomentSpace Lax342547.ExactPins Lax342547.PushforwardWalsh
    16open Lax342547.RealCellLaws Lax342547.LeafCellImages Lax342547.ComponentCharacters
    17open Lax342547.CoefficientPhase
    18open scoped ENNReal
    19
    20noncomputable def decodedImages {Axis N : Type} {R : Axis → Type} [∀ _a, Fintype (R _a)]
    21 (y : ((Σ a, R a) × N) → Binary) : ∀ a, (R a → Binary) →ₗ[Binary] (N → Binary) :=
    22 fun a => Matrix.mulVecLin (fun n i => y (⟨a,i⟩,n))
    23
    24axiom block_image_fiber {Axis I N : Type} {R : Axis → Type}
    25 [Fintype I] [Fintype N] [∀ _a, Fintype (R _a)]
    26 (F : ∀ a, Matrix I (R a) Binary) (X : ∀ _a, Matrix N I Binary)
    27 (y : ((Σ a, R a) × N) → Binary) : by
    28 classical
    29 exact blockImage F X = y ↔ ∀ a, (X a).mulVecLin.comp (F a).mulVecLin = decodedImages y a
    30
    31axiom block_image_push {Ω Axis I N : Type} {R : Axis → Type}
    32 [Fintype Ω] [Fintype I] [Fintype N] [∀ _a, Fintype (R _a)]
    33 (ρ : Ω → ℝ) (F : ∀ a, Matrix I (R a) Binary) (X : Ω → ∀ _a, Matrix N I Binary)
    34 (y : ((Σ a, R a) × N) → Binary) : by
    35 classical
    36 exact push ρ (fun ω => blockImage F (X ω)) y =
    37 push ρ (freshImage (fun ω a => (X ω a).mulVecLin) (fun a => (F a).mulVecLin))
    38 (decodedImages y)
    39
    40axiom original_leaf_block_cap {Ω Axis I N : Type} {U : Axis → Type}
    41 [Fintype Ω] [Fintype Axis] [Fintype I] [Fintype N]
    42 [∀ a, AddCommGroup (U a)] [∀ a, Module Binary (U a)] [∀ a, FiniteDimensional Binary (U a)]
    43 (p : PMF Ω) (X : Ω → Axis → Matrix N I Binary)
    44 (P : Pin Axis I N) (keys : ∀ a, U a →ₗ[Binary] (I → Binary))
    45 (r : Axis → ℕ) (F : ∀ a, Matrix I (Fin (r a)) Binary)
    46 (hkeys : ∀ a, Function.Injective ((P.space a).mkQ.comp (keys a)))
    47 (hfresh : ∀ a, Function.Injective (((P.space a) ⊔ LinearMap.range (keys a)).mkQ.comp (F a).mulVecLin))
    48 (yk : ∀ a, U a →ₗ[Binary] (N → Binary)) (C : Ω → Prop)
    49 (hCkey : ∀ ω, C ω → ∀ a, (X ω a).mulVecLin.comp (keys a) = yk a)
    50 (ζ : ℝ) (hζ : 0 ≤ ζ) (hζsmall : ζ ≤ 1 / 1000)
    51 (hk : 2 * ζ * (∑ a, Module.finrank Binary (U a)) ≤ (1 / 500 : ℝ))
    52 (ht : 1 ≤ ∑ a, r a)
    53 (hC : (2 : ℝ)^(-(((∑ a, Module.finrank Binary (U a) : ℕ) : ℝ) + 1 / 100) * Fintype.card N) ≤
    54 (p.toOuterMeasure {ω | C ω}).toReal)
    55 (hcap : ∀ Q : Pin Axis I N, 1 ≤ P.relativeRank Q →
    56 p.toOuterMeasure (Q.event (fun ω a => (X ω a).mulVecLin)) ≤
    57 ((2 : ℝ≥0∞)^(-(1 - 2 * ζ) * Fintype.card N)) ^ (P.relativeRank Q))
    58 (y : ((Σ a, Fin (r a)) × N) → Binary) : by
    59 classical
    60 exact push (subtypeWeights (weights p) C) (fun ω => blockImage F (X ω.val)) y ≤
    61 (2 : ℝ)^(-(95/100 : ℝ)*(∑ a, r a)*Fintype.card N)
    62
    63axiom original_leaf_all_rank_block_cap {Ω Axis I N : Type} {U : Axis → Type}
    64 [Fintype Ω] [Fintype Axis] [Fintype I] [Fintype N]
    65 [∀ a, AddCommGroup (U a)] [∀ a, Module Binary (U a)] [∀ a, FiniteDimensional Binary (U a)]
    66 (p : PMF Ω) (X : Ω → Axis → Matrix N I Binary)
    67 (P : Pin Axis I N) (keys : ∀ a, U a →ₗ[Binary] (I → Binary))
    68 (r : Axis → ℕ) (F : ∀ a, Matrix I (Fin (r a)) Binary)
    69 (hkeys : ∀ a, Function.Injective ((P.space a).mkQ.comp (keys a)))
    70 (hfresh : ∀ a, Function.Injective (((P.space a) ⊔ LinearMap.range (keys a)).mkQ.comp (F a).mulVecLin))
    71 (yk : ∀ a, U a →ₗ[Binary] (N → Binary)) (C : Ω → Prop)
    72 (hCkey : ∀ ω, C ω → ∀ a, (X ω a).mulVecLin.comp (keys a) = yk a)
    73 (ζ : ℝ) (hζ : 0 ≤ ζ) (hζsmall : ζ ≤ 1 / 1000)
    74 (hk : 2 * ζ * (∑ a, Module.finrank Binary (U a)) ≤ (1 / 500 : ℝ))
    75 (hC : (2 : ℝ)^(-(((∑ a, Module.finrank Binary (U a) : ℕ) : ℝ) + 1 / 100) * Fintype.card N) ≤
    76 (p.toOuterMeasure {ω | C ω}).toReal)
    77 (hcap : ∀ Q : Pin Axis I N, 1 ≤ P.relativeRank Q →
    78 p.toOuterMeasure (Q.event (fun ω a => (X ω a).mulVecLin)) ≤
    79 ((2 : ℝ≥0∞)^(-(1 - 2 * ζ) * Fintype.card N)) ^ (P.relativeRank Q))
    80 (y : ((Σ a, Fin (r a)) × N) → Binary) : by
    81 classical
    82 exact push (subtypeWeights (weights p) C) (fun ω => blockImage F (X ω.val)) y ≤
    83 (2 : ℝ)^(-(95/100 : ℝ)*(∑ a, r a)*Fintype.card N)
    84
    85end Lax342547.LeafBlockCaps
    86
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