theorem
rcarleson'_restrict
{p : NNReal}
(hp : p ∈ Set.Ioo 1 2)
{f : ℝ → ℂ}
(f_periodic : Function.Periodic f (2 * Real.pi))
(hf : MeasureTheory.MemLp f (↑p) (MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi))))
:
MeasureTheory.eLpNorm (carlesonOperatorReal K f) (↑p) (MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi))) ≤ 2 * ↑(C_carleson_hasStrongType 4 p) * MeasureTheory.eLpNorm f (↑p) (MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi)))
theorem
distribution_carlesonOperatorReal_le
{δ ε p : NNReal}
(δpos : 0 < δ)
(hp : p ∈ Set.Ioo 1 2)
{g : ℝ → ℂ}
(g_periodic : Function.Periodic g (2 * Real.pi))
(g_measurable : MeasureTheory.AEStronglyMeasurable g MeasureTheory.volume)
(hg :
MeasureTheory.eLpNorm g (↑p) (MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi))) ≤ ↑(C_distribution_carlesonOperatorReal_le δ ε p))
:
MeasureTheory.distribution (carlesonOperatorReal K g) (↑δ) (MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi))) ≤ ↑ε
theorem
C_control_approximation_effect_le
{δ ε p : NNReal}
:
↑(C_control_approximation_effect δ ε p) ≤ ↑(C_distribution_carlesonOperatorReal_le (2 * Real.pi * (↑δ / 2) / 2).toNNReal (ε / 2) p)
theorem
control_approximation_effect
{δ ε : NNReal}
(δpos : 0 < δ)
{g : ℝ → ℂ}
(g_measurable : MeasureTheory.AEStronglyMeasurable g MeasureTheory.volume)
(g_periodic : Function.Periodic g (2 * Real.pi))
{p : NNReal}
(hp : p ∈ Set.Ioo 1 2)
(g_bound :
MeasureTheory.eLpNorm g (↑p) (MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi))) ≤ ↑(C_control_approximation_effect δ ε p))
:
MeasureTheory.distribution (fun (x : ℝ) => ⨆ (N : ℕ), ‖partialFourierSum N g x‖ₑ) (↑δ)
(MeasureTheory.volume.restrict (Set.Ioc 0 (2 * Real.pi))) ≤ ↑ε