OAI/Analysis/KadisonSimilarity/Representation/FactorAssembly.lean

GitHub source file

7 declarations, 0 contain sorry, 0 declared as axioms

The three factor branches

The finite branch records only the fixed trace, matrix presentation, and local published inputs used in the preceding application. The alternatives are the structural factor classification; no alternative assumes an operator estimate.

  1. structure OAI.KadisonSimilarity.FiniteFactorModel line 30

    Source documentation

    The complete finite-factor presentation required for the application.

    structure FiniteFactorModel (P : VonNeumannAlgebra H) where
    …
  2. theorem OAI.KadisonSimilarity.FiniteFactorModel.estimate line 64

    Source documentation

    Every finite presentation gives the concrete represented estimate.

    theorem FiniteFactorModel.estimate [TopologicalSpace.SeparableSpace H]
        {P : VonNeumannAlgebra H} (F : FiniteFactorModel P) :
        CommutatorEstimate P (3 * cornerConstant + 2) := by
    …

    Mentions: OAI.KadisonSimilarity.FiniteFactorModel, OAI.KadisonSimilarity.CommutatorEstimate, OAI.KadisonSimilarity.cornerConstant

  3. structure OAI.KadisonSimilarity.FiniteMatrixFactorModel line 81

    Source documentation

    The structural data of a finite type-I factor in its given representation.

    structure FiniteMatrixFactorModel (P : VonNeumannAlgebra H) where
    …
  4. theorem OAI.KadisonSimilarity.FiniteMatrixFactorModel.estimate line 88
  5. theorem OAI.KadisonSimilarity.CommutatorEstimate.mono line 94

    Source documentation

    Increasing the numerical constant preserves the same estimate.

    theorem CommutatorEstimate.mono {P : VonNeumannAlgebra H} {c C : ℝ}
        (h : CommutatorEstimate P c) (hc : c ≤ C) : CommutatorEstimate P C := by
    …

    Mentions: OAI.KadisonSimilarity.CommutatorEstimate

  6. def OAI.KadisonSimilarity.PublishedFactorCasesInput line 104

    Source documentation

    Precisely the factor alternatives needed downstream. The finite model is supplied by Popa's increasing-matrix subfactor theorem and the listed local inputs; the other two alternatives are projection/type classification.

    def PublishedFactorCasesInput (P : VonNeumannAlgebra H) : Prop :=
    …
  7. theorem OAI.KadisonSimilarity.factor_estimate_of_published_cases line 109

    Source documentation

    All three structural alternatives yield the same fixed factor constant.

    theorem factor_estimate_of_published_cases [TopologicalSpace.SeparableSpace H]
        (P : VonNeumannAlgebra H)
        (cases : PublishedFactorCasesInput P)
        (dickson : DicksonTwoBound (A := P) (RectangularSum H H)) :
    …

    Mentions: OAI.KadisonSimilarity.PublishedFactorCasesInput, OAI.KadisonSimilarity.DicksonTwoBound, OAI.KadisonSimilarity.RectangularSum