OAI/Analysis/KadisonSimilarity/Representation/SpectralSteps.lean

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The spectral-step part of the hyperreflexivity deduction

SpectralStepApproximation isolates exactly the norm approximation by spectral projections that the manuscript uses. It is the step-function specialization of Blackadar, Operator Algebras (2006; revised manuscript February 8, 2017), I.6.1.3--4, with membership of spectral projections from I.9.2.1(iv). The scalar offset is essential: summation by parts gives a total variation of the remaining coefficients at most twice the operator norm.

The spectral approximation and the uniform commutator estimate together imply the hyperreflexivity bound.

  1. def OAI.KadisonSimilarity.spectralStep line 27

    Source documentation

    A scalar offset plus a finite linear combination of spectral projections.

    def spectralStep {n : ℕ} (r : ℝ) (c : Fin n → ℝ) (e : Fin n → H →L[ℂ] H) :
        H →L[ℂ] H := (r : ℂ) • 1 + ∑ i, (c i : ℂ) • e i
  2. def OAI.KadisonSimilarity.SpectralStepApproximation line 31

    Source documentation

    Spectral approximation with a bound on the sum of absolute coefficients.

    def SpectralStepApproximation (P : VonNeumannAlgebra H) : Prop :=
    …
  3. theorem OAI.KadisonSimilarity.commutator_spectralStep line 39

    Source documentation

    The scalar term has zero commutator; the other terms retain their coefficients.

    theorem commutator_spectralStep (T : H →L[ℂ] H) {n : ℕ}
        (r : ℝ) (c : Fin n → ℝ) (e : Fin n → H →L[ℂ] H) :
        commutator T (spectralStep r c e) = ∑ i, (c i : ℂ) • commutator T (e i) := by
    …

    Mentions: OAI.KadisonSimilarity.commutator, OAI.KadisonSimilarity.spectralStep

  4. theorem OAI.KadisonSimilarity.norm_commutator_spectralStep_le line 46

    Source documentation

    A finite spectral sum is controlled by the total variation of its coefficients.

    theorem norm_commutator_spectralStep_le (M : VonNeumannAlgebra H) (T : H →L[ℂ] H)
        {n : ℕ} (r : ℝ) (c : Fin n → ℝ) (e : Fin n → H →L[ℂ] H)
        (he : ∀ i, e i ∈ M.commutant ∧ star (e i) = e i ∧ e i * e i = e i) :
        ‖commutator T (spectralStep r c e)‖ ≤
          (∑ i, |c i|) * offDiagonalSeminorm M T := by
    …

    Mentions: OAI.KadisonSimilarity.commutator, OAI.KadisonSimilarity.spectralStep, OAI.KadisonSimilarity.offDiagonalSeminorm

  5. theorem OAI.KadisonSimilarity.norm_commutator_selfAdjoint_of_spectralSteps line 65

    Source documentation

    The projection approximation yields the claimed sharp scalar-level factor 2 for a selfadjoint input.

    theorem norm_commutator_selfAdjoint_of_spectralSteps (M : VonNeumannAlgebra H)
        (approximation : SpectralStepApproximation M.commutant) (T A : H →L[ℂ] H)
        (hA : A ∈ M.commutant) (hAstar : star A = A) :
        ‖commutator T A‖ ≤ 2 * offDiagonalSeminorm M T * ‖A‖ := by
    …

    Mentions: OAI.KadisonSimilarity.SpectralStepApproximation, OAI.KadisonSimilarity.commutator, OAI.KadisonSimilarity.offDiagonalSeminorm

  6. theorem OAI.KadisonSimilarity.scalarCommutatorNorm_le_four_of_spectralSteps line 97

    Source documentation

    The real/imaginary decomposition now yields the scalar factor 4.

    theorem scalarCommutatorNorm_le_four_of_spectralSteps (M : VonNeumannAlgebra H)
        (approximation : SpectralStepApproximation M.commutant) (T : H →L[ℂ] H) :
        scalarCommutatorNorm M.commutant T ≤ 4 * offDiagonalSeminorm M T := by
    …

    Mentions: OAI.KadisonSimilarity.SpectralStepApproximation, OAI.KadisonSimilarity.scalarCommutatorNorm, OAI.KadisonSimilarity.offDiagonalSeminorm

  7. theorem OAI.KadisonSimilarity.hyperreflexivity_of_spectralSteps_and_arveson line 106

    Source documentation

    Spectral approximation and the uniform commutator estimate imply the hyperreflexivity bound with constant 2 * C.

    theorem hyperreflexivity_of_spectralSteps_and_arveson (M : VonNeumannAlgebra H)
        (approximation : SpectralStepApproximation M.commutant) (T : H →L[ℂ] H)
        {C : ℝ} (hC : 0 ≤ C) (arveson : ArvesonDistanceFormula M T)
        (estimate : CommutatorEstimate M.commutant C) :
        Metric.infDist T (M : Set (H →L[ℂ] H)) ≤ 2 * C * offDiagonalSeminorm M T :=
    …

    Mentions: OAI.KadisonSimilarity.SpectralStepApproximation, OAI.KadisonSimilarity.ArvesonDistanceFormula, OAI.KadisonSimilarity.CommutatorEstimate, OAI.KadisonSimilarity.offDiagonalSeminorm