OAI/Analysis/LipschitzHilbert/Trees/SourceStrongDyadicMaximal.lean
11 declarations, 0 contain sorry, 0 declared as axioms
Finite rectangular maximal averages on the actual nested line grids. The constants are uniform in both scale cutoffs.
- def
OAI.LipschitzHilbert.DyadicLineGrid.verticalMaximalline 11 - def
OAI.LipschitzHilbert.DyadicLineGrid.strongDyadicMaximalline 14 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.verticalMaximal_measurableline 18 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.strongDyadicMaximal_measurableline 22 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.verticalMaximal_energyline 27 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.strongDyadicMaximal_energyline 49Source documentation
The composition of the two actual dyadic maximal operators has squared L² norm at most sixteen, independently of the number of scales.
theorem strongDyadicMaximal_energy (qx qy topx topy : ℤ) (Nx Ny : ℕ) {f : ℝ×ℝ → ℝ} (hfmeas : Measurable f) (hf : MemLp f 2 (volume.prod volume)) : MemLp (strongDyadicMaximal qx qy topx topy Nx Ny f) 2 (volume.prod volume) ∧ (∫ z, (strongDyadicMaximal qx qy topx topy Nx Ny f z)^2 ∂volume.prod volume) ≤ 16*∫ z, (f z)^2 ∂volume.prod volume := by …Mentions: OAI.LipschitzHilbert.DyadicLineGrid.strongDyadicMaximal
- theorem
OAI.LipschitzHilbert.DyadicLineGrid.abs_cellMean_le_dyadicMaximalline 62 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.horizontalMaximal_nonnegline 71 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.verticalMaximal_nonnegline 74 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.strongDyadicMaximal_nonnegline 77 - theorem
OAI.LipschitzHilbert.DyadicLineGrid.cellMean_monoline 83Source documentation
Monotonicity of a literal cell average; integrability is only needed on the one cell in question.
theorem cellMean_mono (q k : ℤ) (x : ℝ) {f g : ℝ → ℝ} (hf : IntegrableOn f (cell q k (index q k x))) (hg : IntegrableOn g (cell q k (index q k x))) (hfg : ∀ y∈cell q k (index q k x), f y≤g y) : cellMean q k f x≤cellMean q k g x := by …Mentions: OAI.LipschitzHilbert.DyadicLineGrid.cell, OAI.LipschitzHilbert.DyadicLineGrid.index, OAI.LipschitzHilbert.DyadicLineGrid.cellMean