OAI/Geometry/RCD/Coordinates/CovectorCoefficientRecovery.lean

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Two-center coefficient recovery from the actual affine L2 residual

  1. theorem OAI.RegularPointCoordinates.LocalHarmonicL2GradientInput.covector_coefficient_recovery line 19

    Source documentation

    Published harmonic gradient control and exact normalization recover the difference B of the radial matrices from the affine commutator residual. The displayed residual is the output of the Sobolev commutator identity.

    theorem LocalHarmonicL2GradientInput.covector_coefficient_recovery
        {K : ℝ} {n : ℕ} {hX : NoncollapsedRCD K n X}
        (hinput : LocalHarmonicL2GradientInput hX) (hn : 2 ≤ n)
        {κ : ℝ} (hκ : 0 ≤ κ) :
        ∃ C : ℝ, 1 ≤ C ∧ ∀ (p : X) (R : ℝ), 0 < R → -κ ≤ K * R ^ 2 →
          ∀ (u : Fin n → SobolevSpace (hausdorff n X) hX.quadratic)
            (N : Euclidean n ≃L[ℝ] Euclidean n),
          IsExactMeanNormalization (hausdorff n X) hX.quadratic
            (sobolevColumnMap (hausdorff n X) hX.quadratic u)
            (ball p (R / 2)) measurableSet_ball N →
          (∀ j, IsSobolevHarmonicOn (hausdorff n X) hX.quadratic (ball p R) (u j)) →
          ∀ η : SobolevSpace (hausdorff n X) hX.quadratic,
    …

    Mentions: OAI.RegularPointCoordinates.NoncollapsedRCD, OAI.RegularPointCoordinates.LocalHarmonicL2GradientInput, OAI.RegularPointCoordinates.SobolevSpace, OAI.RegularPointCoordinates.hausdorff, OAI.RegularPointCoordinates.Euclidean, OAI.RegularPointCoordinates.IsExactMeanNormalization, OAI.RegularPointCoordinates.sobolevColumnMap, OAI.RegularPointCoordinates.IsSobolevHarmonicOn