Documentation

LeanPool.HighContrastHomogenization.Support.Besov.PositiveOverlapBridge

Coarse-graining support: Support.Besov.PositiveOverlapBridge #

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

Disjoint-to-overlap positive Besov bridge #

The basic geometric input is that every ordinary depth-j descendant cube is the scalar-overlap cube of its middle child. This gives the one useful bridge direction: the disjoint depth average is controlled by the overlapping depth average, with only the cardinality loss from the extra generation of centers.

theorem HCPolySupport.cubeBesovPartialNorm_le_three_rpow_mul_overlapPartialNorm {d : ℕ} (Q : TriadicCube d) (s : ℝ) {p q : ENNReal} (hp : 0 < p.toReal) (hq : 1 ≤ q.toReal) (N : ℕ) (u : Vec d → ℝ) :
cubeBesovPartialNorm Q s p q N u ≤ 3 ^ (↑d / p.toReal) * cubeBesovOverlapPartialNorm Q s p q N u
theorem HCPolySupport.cubeBesovDisjointNorm_le_three_rpow_mul_overlapNorm_of_bddAbove {d : ℕ} (Q : TriadicCube d) (s : ℝ) {p q : ENNReal} (hp : 0 < p.toReal) (hq : 1 ≤ q.toReal) (u : Vec d → ℝ) (hBddOverlap : BddAbove (cubeBesovOverlapSeminormValueSet Q s p q u)) :
cubeBesovDisjointNorm Q s p q u ≤ 3 ^ (↑d / p.toReal) * cubeBesovOverlapNorm Q s p q u