Distribution bound for the Hardy–Littlewood maximal function by the large values of f
ProvedDbarRegularity.maximalFunction_distribution_leharmonic-analysismaximal-functionmeasure-theorysingular-integrals
Let be the Hardy–Littlewood maximal function of ,
where is the open ball and is Lebesgue measure. Then for every and every ,
This bounds the distribution function of at level by the integral of over the set where exceeds , with a constant depending only on . In this form it applies to every , in particular to with , where need not be integrable.
Formalization Note. maximalFunction f (from Definitions.Def_DbarRegularity_Setting) takes values in ℝ≥0∞; is in ℝ≥0. The right side is the lower integral of {y | α/2 < ‖f y‖ₑ}.indicator (fun y => ‖f y‖ₑ). No measurability or integrability is assumed on . The case is included.
Preamble
import Definitions.Def_DbarRegularity_Setting
Formal statement
namespace DbarRegularity
open MeasureTheory
open scoped ENNReal NNReal
/-- Distribution bound for the Hardy–Littlewood maximal function in terms of the large values of `f`:
`|{M f > α}| ≤ (2 · 5^d / α) ∫_{|f| > α/2} |f|` for every `f` and every `α > 0`. -/
theorem maximalFunction_distribution_le (d : ℕ) (f : EuclideanSpace ℝ (Fin d) → ℂ) (α : ℝ≥0)
(hα : 0 < α) :
volume {x | (α : ℝ≥0∞) < maximalFunction f x} ≤
2 * (5 : ℝ≥0∞) ^ d / α *
∫⁻ x, {y | (α : ℝ≥0∞) / 2 < ‖f y‖ₑ}.indicator (fun y => ‖f y‖ₑ) x := by sorry
end DbarRegularity
Source
E. M. Stein, Singular Integrals and Differentiability Properties of Functions, Princeton Mathematical Series 30, Princeton University Press (1970), Chapter I, § 1.3, inequality in the proof of Theorem 1 (c), p. 7