OAI/Analysis/KadisonSimilarity/Tracial/UltrapowerCommutators.lean

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Coordinatewise commutator estimates pass to the Hilbert ultrapower, and then to any reducing closed subspace.

  1. theorem OAI.KadisonSimilarity.hilbertUltraproduct_commutator line 18

    Source documentation

    The actual operator map on the Hilbert ultrapower respects commutators.

    theorem hilbertUltraproduct_commutator (ω : Ultrafilter ι)
        (T X : lp (fun _ : ι => H →L[ℂ] H) ∞) :
        commutator (HilbertUltraproduct.map ω T) (HilbertUltraproduct.map ω X) =
          HilbertUltraproduct.map ω (T * X - X * T) := by
    …

    Mentions: OAI.KadisonSimilarity.commutator

  2. theorem OAI.KadisonSimilarity.norm_hilbertUltraproduct_commutator_le line 29

    Source documentation

    Only an eventual coordinate bound is required, exactly as in the small-corner lifting argument.

    theorem norm_hilbertUltraproduct_commutator_le (ω : Ultrafilter ι)
        (T X : lp (fun _ : ι => H →L[ℂ] H) ∞) {c : ℝ} (hc : 0 ≤ c)
        (hbound : ∀ᶠ i in (ω : Filter ι), ‖commutator (T i) (X i)‖ ≤ c) :
        ‖commutator (HilbertUltraproduct.map ω T) (HilbertUltraproduct.map ω X)‖ ≤ c := by
    …

    Mentions: OAI.KadisonSimilarity.commutator

  3. theorem OAI.KadisonSimilarity.norm_reducing_compression_commutator_le line 41

    Source documentation

    Compression to a reducing subspace preserves a commutator estimate. The operator being tested need not preserve that subspace.

    theorem norm_reducing_compression_commutator_le (V : K →ₗᵢ[ℂ] H)
        (T X : H →L[ℂ] H) (X₀ : K →L[ℂ] K)
        (hXV : X.comp V.toContinuousLinearMap = V.toContinuousLinearMap.comp X₀)
        (hXVstar : X.adjoint.comp V.toContinuousLinearMap =
          V.toContinuousLinearMap.comp X₀.adjoint)
        {c : ℝ} (hbound : ‖commutator T X‖ ≤ c) :
        ‖commutator (V.toContinuousLinearMap.adjoint.comp (T.comp V.toContinuousLinearMap)) X₀‖
          ≤ c := by
    …

    Mentions: OAI.KadisonSimilarity.commutator