OAI/Analysis/KadisonSimilarity/Representation/KaplanskyStrongSequence.lean

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Sequential Kaplansky approximation on a separable Hilbert space

Finite-vector Kaplansky approximation applied to increasing finite sets of dense vectors gives an actual strongly convergent sequence. Every source term satisfies the exact norm bound of the target operator.

  1. theorem OAI.KadisonSimilarity.kaplansky_strong_sequence line 25

    Source documentation

    Every member of a represented bicommutant is a strong sequential limit of source elements, with the exact source norm bound preserved.

    theorem kaplansky_strong_sequence
        (σ : A →⋆ₐ[ℂ] (H →L[ℂ] H))
        (T : H →L[ℂ] H) (hT : T ∈ representationVonNeumannAlgebra σ) :
        ∃ a : ℕ → A, (∀ n, ‖a n‖ ≤ ‖T‖) ∧
          ∀ x : H, Tendsto (fun n => σ (a n) x) atTop (𝓝 (T x)) := by
    …

    Mentions: OAI.KadisonSimilarity.representationVonNeumannAlgebra

  2. theorem OAI.KadisonSimilarity.isometricExtension_strong_tendsto line 53

    Source documentation

    Strong convergence survives extension by zero to the common L² model.

    theorem isometricExtension_strong_tendsto
        (J : H →ₗᵢ[ℂ] K) (T : ℕ → H →L[ℂ] H) (S : H →L[ℂ] H)
        (hstrong : ∀ x : H, Tendsto (fun n => T n x) atTop (𝓝 (S x))) :
        ∀ y : K, Tendsto (fun n => isometricExtension J (T n) y) atTop
          (𝓝 (isometricExtension J S y)) := by
    …

    Mentions: OAI.KadisonSimilarity.isometricExtension