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LeanPool.HighContrastHomogenization.Support.Deterministic.CoarsePoincareRHS.ForceLocalization

Coarse-graining support: Support.Deterministic.CoarsePoincareRHS.ForceLocalization #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

noncomputable def HCPolySupport.localizedPositiveBesovForcingSeminormTwoAtDepth {d : ℕ} (Q : TriadicCube d) (s : ℝ) (n : ℕ) (g : Vec d → Vec d) :

Localized descendant L² average of the positive forcing seminorm at a fixed depth. This is the quantity whose parent-cube control carries the small factor 3^{-s n}.

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Instances For

    The square root of the global force bound is the inverse depth weight times the parent positive-Besov seminorm.

    Scale-sharp localization of the positive forcing seminorm: averaging the descendant forcing seminorms costs the inverse positive depth weight, not the positive depth weight.

    theorem HCPolySupport.coarsePoincareRHSLocalCoeff_le_parentHalfLambda_of_mem_descendantsAtDepth {d : ℕ} [NeZero d] {Q R : TriadicCube d} (a : CoeffField d) {s lam Lam : ℝ} (n : ℕ) (hs : 0 < s) (hR : R ∈ descendantsAtDepth Q n) (hEll : IsEllipticFieldOn lam Lam (openCubeSet Q) a) (hData : ∀ j ≤ Q.scale, ∀ S ∈ descendantsAtScale Q j, ∃ (sigmaS : Mat d) (sigmaStarS : Mat d) (kappaS : Mat d), IsCoarseBlockMatrix (openCubeSet S) a (deterministicCoarseBlockMatrix (openCubeSet S) a) ∧ IsSigmaStarCoarse (openCubeSet S) a sigmaStarS ∧ IsKappaCoarse (openCubeSet S) a sigmaStarS kappaS ∧ IsSigmaCoarse (openCubeSet S) a sigmaS sigmaStarS kappaS ∧ IsUnit (Matrix.det sigmaStarS)) (hsum_half : Summable fun (m : ℕ) => geometricWeight (s / 2) 2 m * (maxDescendantSigmaStarInvNormAtScale Q (Q.scale - ↑m) a).rpow 1) :
    theorem HCPolySupport.coarsePoincareRHSIntrinsicEnergyErrorAverage_le_parentHalfCoeff_globalAverage {d : ℕ} [NeZero d] (Q : TriadicCube d) (a : CoeffField d) (u : Vec d → Vec d) {s lam Lam : ℝ} (n : ℕ) (hs : 0 < s) (hEll : IsEllipticFieldOn lam Lam (openCubeSet Q) a) (hData : ∀ j ≤ Q.scale, ∀ S ∈ descendantsAtScale Q j, ∃ (sigmaS : Mat d) (sigmaStarS : Mat d) (kappaS : Mat d), IsCoarseBlockMatrix (openCubeSet S) a (deterministicCoarseBlockMatrix (openCubeSet S) a) ∧ IsSigmaStarCoarse (openCubeSet S) a sigmaStarS ∧ IsKappaCoarse (openCubeSet S) a sigmaStarS kappaS ∧ IsSigmaCoarse (openCubeSet S) a sigmaS sigmaStarS kappaS ∧ IsUnit (Matrix.det sigmaStarS)) (hsum_half : Summable fun (m : ℕ) => geometricWeight (s / 2) 2 m * (maxDescendantSigmaStarInvNormAtScale Q (Q.scale - ↑m) a).rpow 1) (havg_nonneg : ∀ R ∈ descendantsAtDepth Q n, 0 ≤ cubeAverage R (coefficientEnergyDensity a u)) (hint : MeasureTheory.IntegrableOn (coefficientEnergyDensity a u) (cubeSet Q) MeasureTheory.volume) :
    theorem HCPolySupport.coarsePoincare_intrinsicForceMultiplier_sq_le_parentHalfLambda {d : ℕ} [NeZero d] {Q R : TriadicCube d} (a : CoeffField d) {s lam Lam : ℝ} (n : ℕ) (hs : 0 < s) (hR : R ∈ descendantsAtDepth Q n) (hEll : IsEllipticFieldOn lam Lam (openCubeSet Q) a) (hData : ∀ j ≤ Q.scale, ∀ S ∈ descendantsAtScale Q j, ∃ (sigmaS : Mat d) (sigmaStarS : Mat d) (kappaS : Mat d), IsCoarseBlockMatrix (openCubeSet S) a (deterministicCoarseBlockMatrix (openCubeSet S) a) ∧ IsSigmaStarCoarse (openCubeSet S) a sigmaStarS ∧ IsKappaCoarse (openCubeSet S) a sigmaStarS kappaS ∧ IsSigmaCoarse (openCubeSet S) a sigmaS sigmaStarS kappaS ∧ IsUnit (Matrix.det sigmaStarS)) (hsum_half : Summable fun (m : ℕ) => geometricWeight (s / 2) 2 m * (maxDescendantSigmaStarInvNormAtScale Q (Q.scale - ↑m) a).rpow 1) :
    theorem HCPolySupport.coarsePoincareRHSIntrinsicForceErrorAverage_le_parentHalfLambda_of_centeredForceAverageBound {d : ℕ} [NeZero d] (Q : TriadicCube d) (a : CoeffField d) (g : Vec d → Vec d) {s lam Lam : ℝ} (n : ℕ) {B : ℝ} (hs : 0 < s) (hEll : IsEllipticFieldOn lam Lam (openCubeSet Q) a) (hData : ∀ j ≤ Q.scale, ∀ S ∈ descendantsAtScale Q j, ∃ (sigmaS : Mat d) (sigmaStarS : Mat d) (kappaS : Mat d), IsCoarseBlockMatrix (openCubeSet S) a (deterministicCoarseBlockMatrix (openCubeSet S) a) ∧ IsSigmaStarCoarse (openCubeSet S) a sigmaStarS ∧ IsKappaCoarse (openCubeSet S) a sigmaStarS kappaS ∧ IsSigmaCoarse (openCubeSet S) a sigmaS sigmaStarS kappaS ∧ IsUnit (Matrix.det sigmaStarS)) (hsum_half : Summable fun (m : ℕ) => geometricWeight (s / 2) 2 m * (maxDescendantSigmaStarInvNormAtScale Q (Q.scale - ↑m) a).rpow 1) (hforceAvg : (descendantsAverage Q n fun (R : TriadicCube d) => coarsePoincareRHSLocalCenteredForceSeminorm R g s ^ 2) ≤ B) :