Documentation

LeanPool.HighContrastHomogenization.Support.Besov.Duality.ProjectionLimit

Coarse-graining support: Support.Besov.Duality.ProjectionLimit #

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

theorem HCPolySupport.cubeProjection_abs_le_of_abs_le_on_cubeSet {d : ℕ} (Q : TriadicCube d) (j : ℕ) (g : Vec d → ℝ) (C : ℝ) (hbound : ∀ x ∈ cubeSet Q, |g x| ≤ C) (x : Vec d) :
x ∈ cubeSet Q → |cubeProjection Q j g x| ≤ C
theorem HCPolySupport.cubeLpNorm_cubeProjection_le {d : ℕ} (Q : TriadicCube d) (p : ENNReal) (u : Vec d → ℝ) (j : ℕ) (hp : 1 ≤ p) (hpTop : p ≠ ⊤) (hu : MeasureTheory.MemLp u p (normalizedCubeMeasure Q)) :
theorem HCPolySupport.cubeBesovPairing_sub_right_of_integrableOn {d : ℕ} (Q : TriadicCube d) (f g h : Vec d → ℝ) (hfg : MeasureTheory.IntegrableOn (fun (x : Vec d) => f x * g x) (cubeSet Q) MeasureTheory.volume) (hfh : MeasureTheory.IntegrableOn (fun (x : Vec d) => f x * h x) (cubeSet Q) MeasureTheory.volume) :
(cubeBesovPairing Q f fun (x : Vec d) => g x - h x) = cubeBesovPairing Q f g - cubeBesovPairing Q f h