OAI/Analysis/BoundedHochschild/CompletelyBoundedRows.lean

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6 declarations, 0 contain sorry, 0 declared as axioms

The finite-row consequence of complete boundedness

The definition uses the usual entrywise amplifications on actual C*-matrix algebras. In the properly infinite case, the proved isometry columns turn this definition into precisely the row estimate needed for right averaging.

  1. def OAI.BoundedHochschild.KadisonRingrose.CompletelyBoundedEstimate line 24

    Source documentation

    A uniform bound on all entrywise matrix amplifications of a linear map.

    def CompletelyBoundedEstimate (T : M →L[ℂ] M) (C : ℝ) : Prop :=
    …
  2. lemma OAI.BoundedHochschild.KadisonRingrose.left_isometry_norm line 28
  3. lemma OAI.BoundedHochschild.KadisonRingrose.columnRow_mul_isometry line 44
  4. lemma OAI.BoundedHochschild.KadisonRingrose.columnCompression_row line 54
  5. theorem OAI.BoundedHochschild.KadisonRingrose.finiteRowBound_of_completelyBounded line 66

    Source documentation

    Complete boundedness implies the finite-row estimate used by the module projection, via the actual finite matrix amplifications already constructed.

    theorem finiteRowBound_of_completelyBounded (e : StrongDual ℂ X ≃ₗᵢ⋆[ℂ] M)
        (hno : NoFiniteCentralSummand M) (T : M →L[ℂ] M) {C : ℝ}
        (hT : CompletelyBoundedEstimate T C) : HasFiniteRowBound T C := by
    …

    Mentions: OAI.BoundedHochschild.KadisonRingrose.NoFiniteCentralSummand, OAI.BoundedHochschild.KadisonRingrose.CompletelyBoundedEstimate, OAI.BoundedHochschild.KadisonRingrose.HasFiniteRowBound

  6. theorem OAI.BoundedHochschild.KadisonRingrose.finiteRightAverage_norm_of_completelyBounded line 90

    Source documentation

    The finite elementary averages in the module projection are bounded by any complete bound for the original linear map.

    theorem finiteRightAverage_norm_of_completelyBounded
        (e : StrongDual ℂ X ≃ₗᵢ⋆[ℂ] M) (hno : NoFiniteCentralSummand M)
        (m : Fin (n + 1) → M) (hm : ∑ i, m i * star (m i) = 1)
        (T : M →L[ℂ] M) {C : ℝ} (hT : CompletelyBoundedEstimate T C) :
        ‖finiteRightAverage m T‖ ≤ C := by
    …

    Mentions: OAI.BoundedHochschild.KadisonRingrose.NoFiniteCentralSummand, OAI.BoundedHochschild.KadisonRingrose.CompletelyBoundedEstimate, OAI.BoundedHochschild.KadisonRingrose.finiteRightAverage