OAI/Analysis/KadisonKastler/ClippedCoefficients.lean

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18 declarations, 0 contain sorry, 0 declared as axioms

Spectrally clipped coefficient columns

The actual cutoff preserves the coefficient-column bound, right support, and the relevant quotient image. The final theorem substitutes that cutoff directly into the coefficient drift estimate.

  1. theorem OAI.KadisonKastler.sum_spectralClip_star_mul_le line 27
  2. theorem OAI.KadisonKastler.sum_discarded_star_mul_le line 32
  3. theorem OAI.KadisonKastler.spectralClip_star_column_le_one line 37
  4. theorem OAI.KadisonKastler.discarded_star_column_le_one line 42
  5. def OAI.KadisonKastler.coefficientMatrixMap line 55

    Source documentation

    Entrywise application of a unital star homomorphism to square matrices.

    def coefficientMatrixMap (π : A →⋆ₐ[ℂ] B) :
        CStarMatrix n n A →⋆ₐ[ℂ] CStarMatrix n n B where
    …
  6. theorem OAI.KadisonKastler.coefficientMatrixMap_apply line 76
  7. theorem OAI.KadisonKastler.norm_apply_le_of_star_mul_self_le line 91

    Source documentation

    Operator star-square domination is pointwise domination of norms.

    theorem norm_apply_le_of_star_mul_self_le (X Y : H →L[ℂ] H)
        (hXY : star X * X ≤ star Y * Y) (z : H) : ‖X z‖ ≤ ‖Y z‖ := by
    …
  8. theorem OAI.KadisonKastler.column_contract_of_star_mul_self_le line 105

    Source documentation

    A pointwise star-square bound preserves any vector-column bound.

    theorem column_contract_of_star_mul_self_le {ω : Type*} [Fintype ω]
        (K L : ω → H →L[ℂ] H) (hLK : ∀ w, star (L w) * L w ≤ star (K w) * K w)
        (hK : ∀ z : H, ‖WithLp.toLp 2 (fun w => K w z)‖ ≤ ‖z‖) (z : H) :
        ‖WithLp.toLp 2 (fun w => L w z)‖ ≤ ‖z‖ := by
    …
  9. theorem OAI.KadisonKastler.coefficient_hilbertMatrixHom_apply line 118
  10. def OAI.KadisonKastler.clippedCoefficients line 127
  11. theorem OAI.KadisonKastler.clippedCoefficients_norm line 131
  12. theorem OAI.KadisonKastler.clippedCoefficients_support line 136
  13. theorem OAI.KadisonKastler.clippedCoefficients_column_contract line 142
  14. theorem OAI.KadisonKastler.discardedCoefficients_column_contract line 155
  15. theorem OAI.KadisonKastler.spectralClip_entry_mem line 180

    Source documentation

    Applying the spectral cutoff preserves entrywise membership in the original von Neumann algebra.

    theorem spectralClip_entry_mem (M : VonNeumannAlgebra H)
        (K : CStarMatrix (Fin n) (Fin n) (H →L[ℂ] H)) (hK : ∀ i j, K i j ∈ M)
        {β : ℝ} (hβ : 0 < β) (i j : Fin n) : spectralClip β K i j ∈ M := by
    …

    Mentions: OAI.KadisonKastler.spectralClip

  16. theorem OAI.KadisonKastler.clippedCoefficients_entry_mem line 192
  17. theorem OAI.KadisonKastler.clippedCoefficients_quotient_error line 198
  18. theorem OAI.KadisonKastler.spectralClipped_matrixCommutator_drift_le_sixty_six line 208

    Source documentation

    The drift theorem applied to the actual spectral cutoff of the original coefficient family, with its column and support bounds proved above.

    theorem spectralClipped_matrixCommutator_drift_le_sixty_six {ω : Type*} [Fintype ω]
        {q : ℕ} (M : VonNeumannAlgebra H)
        (hPublished : PublishedCyclicSimilarity.{u, u} (A := Algebra M))
    …

    Mentions: OAI.KadisonKastler.Algebra