OAI/Analysis/KadisonKastler/RandomizedQuadratic.lean
3 declarations, 0 contain sorry, 0 declared as axioms
The quadratic estimate from the actual randomized recovery family
- theorem
OAI.KadisonKastler.hilbertMatrix_diagonalAmplification_eqline 19Source 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
- theorem
OAI.KadisonKastler.diagonalAmplification_isSelfAdjointline 26Source 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
- theorem
OAI.KadisonKastler.randomized_recovery_quadratic_boundline 40Source documentation
The two actual eventual row-error estimates, the scalar derivation bound, and the constructed recovery family imply the
282δquadratic 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