OAI/Geometry/RCD/Coordinates/CovectorCoefficientRecovery.lean
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Two-center coefficient recovery from the actual affine L2 residual
- theorem
OAI.RegularPointCoordinates.LocalHarmonicL2GradientInput.covector_coefficient_recoveryline 19Source 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