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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section53.JUpperBoundWeakNorms.Averages

Coarse-graining support: Support.Book.Ch05.Theorems.Section53.JUpperBoundWeakNorms.Averages #

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

Averages #

Cube-average algebra used by the first Section 5.3 lemma.

Linearity of cube averages under cube-set integrability hypotheses.

The public Ch2 average on an open cube agrees with cubeAverage.

theorem HCPolySupport.Book.Ch05.Section53.JUpperBoundWeakNorms.integral_sub_const_eq_integral_cutoff_centered_add_integral_one_sub_cutoff_mul {α : Type u_1} [MeasurableSpace α] {μ : MeasureTheory.Measure α} {φ F : α → ℝ} {c : ℝ} (hF_int : MeasureTheory.Integrable F μ) (hφ_int : MeasureTheory.Integrable φ μ) (hCut_int : MeasureTheory.Integrable (fun (x : α) => φ x * (F x - c)) μ) (hRem_int : MeasureTheory.Integrable (fun (x : α) => (1 - φ x) * F x) μ) (hMean : ∫ (x : α), φ x ∂μ = 1) :
∫ (x : α), F x ∂μ - c = ∫ (x : α), φ x * (F x - c) ∂μ + ∫ (x : α), (1 - φ x) * F x ∂μ

Scalar cutoff insertion behind the centered energy splitting.

theorem HCPolySupport.Book.Ch05.Section53.JUpperBoundWeakNorms.cubeAverage_sub_const_eq_cubeAverage_cutoff_centered_add_cubeAverage_one_sub_cutoff_mul {d : ℕ} (Q : TriadicCube d) {φ F : Vec d → ℝ} {c : ℝ} (hF_int : MeasureTheory.Integrable F (normalizedCubeMeasure Q)) (hφ_int : MeasureTheory.Integrable φ (normalizedCubeMeasure Q)) (hCut_int : MeasureTheory.Integrable (fun (x : Vec d) => φ x * (F x - c)) (normalizedCubeMeasure Q)) (hRem_int : MeasureTheory.Integrable (fun (x : Vec d) => (1 - φ x) * F x) (normalizedCubeMeasure Q)) (hMean : cubeAverage Q φ = 1) :
cubeAverage Q F - c = (cubeAverage Q fun (x : Vec d) => φ x * (F x - c)) + cubeAverage Q fun (x : Vec d) => (1 - φ x) * F x

Cube-average form of mean-one cutoff insertion.

On a child cube, the leftover cutoff factor decomposes as 1 - φ = ((φ)_R - φ) + (1 - (φ)_R).

Descendant partition of the leftover cutoff energy term.

Congruence for descendant averages at a fixed depth.