OAI/Analysis/KadisonKastler/RandomizedQuadratic.lean

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3 declarations, 0 contain sorry, 0 declared as axioms

The quadratic estimate from the actual randomized recovery family

  1. theorem OAI.KadisonKastler.hilbertMatrix_diagonalAmplification_eq line 19

    Source documentation

    The matrix and direct-sum definitions of diagonal amplification agree.

    theorem hilbertMatrix_diagonalAmplification_eq (h : H →L[ℂ] H) :
        hilbertMatrix (diagonalAmplification (n := Fin n) h) =
    …

    Mentions: OAI.KadisonKastler.hilbertMatrix, OAI.KadisonKastler.diagonalAmplification

  2. theorem OAI.KadisonKastler.diagonalAmplification_isSelfAdjoint line 26

    Source documentation

    A symmetric operator remains selfadjoint after diagonal amplification.

    theorem diagonalAmplification_isSelfAdjoint (h : H →L[ℂ] H) (hh : h.IsSymmetric) :
        IsSelfAdjoint (hilbertMatrix (diagonalAmplification (n := Fin n) h)) := by
    …

    Mentions: OAI.KadisonKastler.hilbertMatrix, OAI.KadisonKastler.diagonalAmplification

  3. theorem OAI.KadisonKastler.randomized_recovery_quadratic_bound line 40

    Source documentation

    The two actual eventual row-error estimates, the scalar derivation bound, and the constructed recovery family imply the 282δ quadratic estimate. The row-error hypotheses are the only analytic assembly premises here.

    theorem randomized_recovery_quadratic_bound
        (D : TraceQuotientMap (matrixVonNeumannTrace (ι := Fin n) M τ) σ ω)
    …

    Mentions: OAI.KadisonKastler.TraceQuotientMap, OAI.KadisonKastler.matrixVonNeumannTrace