OAI/Analysis/KadisonKastler/RecoveryRowDrift.lean
6 declarations, 0 contain sorry, 0 declared as axioms
Recovery-row drift from the actual errors of the unitary powers
- theorem
OAI.KadisonKastler.diagonalAmplification_coordinate_compatibilityline 20Source documentation
The diagonal amplification applies the original operator in each coordinate.
theorem diagonalAmplification_coordinate_compatibility (h : H →L[ℂ] H) (x : Generator.FiniteHilbert (Fin n) H) (a : Fin n) : h (x a) = (hilbertMatrix (diagonalAmplification (n := Fin n) h) x) a := by …Mentions: OAI.Generator.FiniteHilbert, OAI.KadisonKastler.hilbertMatrix, OAI.KadisonKastler.diagonalAmplification
- theorem
OAI.KadisonKastler.normalized_phase_row_errorline 36Source documentation
Coordinate compatibility transports a phase sum of power errors to the error of the corresponding normalized row.
theorem normalized_phase_row_error (h : H →L[ℂ] H) (T : Generator.FiniteHilbert (Fin n) H →L[ℂ] Generator.FiniteHilbert (Fin n) H) (hcoord : ∀ x : Generator.FiniteHilbert (Fin n) H, ∀ a, h (x a) = (T x) a) (χ : I → Ω → ℂ) (X Y : I → Generator.FiniteHilbert (Fin n) H) (s t : ℝ) (z : Ω) (a : Fin n) : h (s • (t • finitePhaseSum χ X z) a) - s • (t • finitePhaseSum χ Y z) a = s • (t • finitePhaseSum χ (fun r => T (X r) - Y r) z) a := by …Mentions: OAI.Generator.FiniteHilbert, OAI.KadisonKastler.finitePhaseSum
- theorem
OAI.KadisonKastler.recoveryForwardRows_drift_leline 51Source documentation
A uniform power-error bound in RMS gives the same bound for the actual forward recovery rows after the independent scalar phase and coordinate choice.
theorem recoveryForwardRows_drift_le (M : VonNeumannAlgebra H) (h : H →L[ℂ] H) (T : Generator.FiniteHilbert (Fin n) H →L[ℂ] Generator.FiniteHilbert (Fin n) H) (hcoord : ∀ x : Generator.FiniteHilbert (Fin n) H, ∀ a, h (x a) = (T x) a) (v : Θ → unitary (Algebra (matrixVonNeumann (ι := Fin n) M))) …Mentions: OAI.Generator.FiniteHilbert, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.matrixVonNeumann
- theorem
OAI.KadisonKastler.recoveryBackwardRows_drift_leline 79Source documentation
The adjoint power errors control the backward rows, with comparison vector
T ξas needed in the scalar quadratic estimate.theorem recoveryBackwardRows_drift_le (M : VonNeumannAlgebra H) (h : H →L[ℂ] H) (T : Generator.FiniteHilbert (Fin n) H →L[ℂ] Generator.FiniteHilbert (Fin n) H) (hcoord : ∀ x : Generator.FiniteHilbert (Fin n) H, ∀ a, h (x a) = (T x) a) (v : Θ → unitary (Algebra (matrixVonNeumann (ι := Fin n) M))) …Mentions: OAI.Generator.FiniteHilbert, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.matrixVonNeumann
- theorem
OAI.KadisonKastler.eventually_recoveryForwardRows_drift_leline 110Source documentation
Finitely many eventual power bounds give the eventual forward-row bound with the same arbitrary error tolerance.
theorem eventually_recoveryForwardRows_drift_le (M : VonNeumannAlgebra H) (l : Filter J) (h : H →L[ℂ] H) (T : Generator.FiniteHilbert (Fin n) H →L[ℂ] Generator.FiniteHilbert (Fin n) H) (hcoord : ∀ x : Generator.FiniteHilbert (Fin n) H, ∀ a, h (x a) = (T x) a) (v : J → Θ → unitary (Algebra (matrixVonNeumann (ι := Fin n) M))) …Mentions: OAI.Generator.FiniteHilbert, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.matrixVonNeumann
- theorem
OAI.KadisonKastler.eventually_recoveryBackwardRows_drift_leline 136Source documentation
The same finite intersection of eventual events controls the backward rows.
theorem eventually_recoveryBackwardRows_drift_le (M : VonNeumannAlgebra H) (l : Filter J) (h : H →L[ℂ] H) (T : Generator.FiniteHilbert (Fin n) H →L[ℂ] Generator.FiniteHilbert (Fin n) H) (hcoord : ∀ x : Generator.FiniteHilbert (Fin n) H, ∀ a, h (x a) = (T x) a) (v : J → Θ → unitary (Algebra (matrixVonNeumann (ι := Fin n) M))) …Mentions: OAI.Generator.FiniteHilbert, OAI.KadisonKastler.Algebra, OAI.KadisonKastler.matrixVonNeumann