OAI/Analysis/BoundedHochschild/PositiveNormalParts.lean

GitHub source file

8 declarations, 0 contain sorry, 0 declared as axioms

Positive normal and singular parts

The normal-vector projection splits a positive functional into positive normal and singular parts. In particular, any positive functional dominated by a normal positive functional is normal. This supplies the normality criterion for order intervals in the predual compactness argument.

  1. lemma OAI.BoundedHochschild.KadisonRingrose.normalPart_diagonal line 33
  2. lemma OAI.BoundedHochschild.KadisonRingrose.normalComplement_diagonal line 50
  3. def OAI.BoundedHochschild.KadisonRingrose.positiveNormalPart line 77

    Source documentation

    The positive normal part, realized by a projected GNS vector.

    def positiveNormalPart (e : StrongDual ℂ X ≃ₗᵢ⋆[ℂ] M) (ψ : M →ₚ[ℂ] ℂ) :
        M →ₚ[ℂ] ℂ :=
    …
  4. def OAI.BoundedHochschild.KadisonRingrose.positiveSingularPart line 83

    Source documentation

    The remaining positive part, realized by the complementary GNS vector.

    def positiveSingularPart (e : StrongDual ℂ X ≃ₗᵢ⋆[ℂ] M) (ψ : M →ₚ[ℂ] ℂ) :
        M →ₚ[ℂ] ℂ :=
    …
  5. lemma OAI.BoundedHochschild.KadisonRingrose.positiveNormalPart_eq line 88
  6. lemma OAI.BoundedHochschild.KadisonRingrose.positiveSingularPart_eq line 95
  7. lemma OAI.BoundedHochschild.KadisonRingrose.positiveNormalPart_normal line 103
  8. theorem OAI.BoundedHochschild.KadisonRingrose.positive_normal_of_dominated line 109

    Source documentation

    Domination by a positive normal functional forces normality.

    theorem positive_normal_of_dominated (e : StrongDual ℂ X ≃ₗᵢ⋆[ℂ] M)
        (χ ψ : M →ₚ[ℂ] ℂ) (hψ : TraceInPredual e ψ)
        (hle : ∀ a : M, 0 ≤ a → χ a ≤ ψ a) : TraceInPredual e χ := by
    …

    Mentions: OAI.BoundedHochschild.TraceInPredual