OAI/Analysis/KadisonKastler/TracialSpectralAveraging.lean

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Finite matrix averaging of rounded spectral sums

  1. theorem OAI.KadisonKastler.exists_scalar_average_of_rounded_partition line 20

    Source documentation

    A common matrix-algebra remainder controls the norm error of a whole spectral sum after one finite average.

    theorem exists_scalar_average_of_rounded_partition (τ : TracialRepresentation M)
        (Q : CornerPartition (identityProjection M)) (q : Fin Q.size → AlgebraProjection M)
        (hq : ∀ i, q i ≤ Q.piece i) {n : ℕ} [Nonempty (Fin n)]
        (E : MatrixUnitSystem (Fin n) (Algebra M))
        (hmem : ∀ i, (q i).val ∈ E.algebra)
        (c : Fin Q.size → ℂ) (η : ℝ)
        (hη : (τ.trace (partitionRemainder Q q hq).val).re ≤ η) :
        ∃ (A : FiniteInnerAverage M) (z : ℂ),
          ‖A.apply (∑ i, c i • (Q.piece i).val.val) - z • (1 : H →L[ℂ] H)‖ ≤
            (∑ i, ‖c i‖) * η := by
    …

    Mentions: OAI.KadisonKastler.Algebra, OAI.KadisonKastler.partitionRemainder, OAI.KadisonKastler.FiniteInnerAverage