OAI/Analysis/BoundedHochschild/PositiveNormalParts.lean
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.
- lemma
OAI.BoundedHochschild.KadisonRingrose.normalPart_diagonalline 33 - lemma
OAI.BoundedHochschild.KadisonRingrose.normalComplement_diagonalline 50 - def
OAI.BoundedHochschild.KadisonRingrose.positiveNormalPartline 77Source 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 := … - def
OAI.BoundedHochschild.KadisonRingrose.positiveSingularPartline 83Source 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 := … - lemma
OAI.BoundedHochschild.KadisonRingrose.positiveNormalPart_eqline 88 - lemma
OAI.BoundedHochschild.KadisonRingrose.positiveSingularPart_eqline 95 - lemma
OAI.BoundedHochschild.KadisonRingrose.positiveNormalPart_normalline 103 - theorem
OAI.BoundedHochschild.KadisonRingrose.positive_normal_of_dominatedline 109Source 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