The Hardy–Littlewood maximal theorem
ProvedDbarRegularity.maximalFunction_boundsLet be the Hardy–Littlewood maximal function of . carries Lebesgue measure , and is the norm. Then:
- if for some , then for almost every ;
- there is a constant depending only on such that for every and every ,
- for every there is a constant depending only on and such that every has and .
Formalization Note maximalFunction f is valued in ℝ≥0∞; part 3 asserts MemLp (maximalFunction f) p and bounds its eLpNorm. is in ℝ≥0∞, so is included in parts 1 and 3. The constants are in ℝ≥0 and are chosen before (and ). Stein remarks that will do in part 2; the statement asks only for some constant depending on .
import Definitions.Def_DbarRegularity_Setting import Mathlib.Analysis.Calculus.ContDiff.Basic
namespace DbarRegularity
open MeasureTheory Metric Filter Topology
open scoped ENNReal NNReal ContDiff
/-- Stein, *Singular Integrals*, Chapter I, § 1.3, Theorem 1 (p. 5): the Hardy–Littlewood maximal
function `M f` of `f` on `ℝ^d`
(a) is finite almost everywhere when `f ∈ L^p`, `1 ≤ p ≤ ∞`;
(b) is of weak type `(1, 1)`: `|{M f > α}| ≤ (A / α) ‖f‖₁` with `A` depending only on `d`;
(c) is in `L^p` with `‖M f‖_p ≤ A_p ‖f‖_p` when `f ∈ L^p`, `1 < p ≤ ∞`, with `A_p` depending only
on `p` and `d`. -/
theorem maximalFunction_bounds (d : ℕ) :
(∀ p : ℝ≥0∞, 1 ≤ p → ∀ f : EuclideanSpace ℝ (Fin d) → ℂ, MemLp f p →
∀ᵐ x, maximalFunction f x < ⊤) ∧
(∃ A : ℝ≥0, ∀ f : EuclideanSpace ℝ (Fin d) → ℂ, Integrable f → ∀ α : ℝ≥0, 0 < α →
volume {x | (α : ℝ≥0∞) < maximalFunction f x} ≤ (A : ℝ≥0∞) / α * ∫⁻ x, ‖f x‖ₑ) ∧
(∀ p : ℝ≥0∞, 1 < p → ∃ A : ℝ≥0, ∀ f : EuclideanSpace ℝ (Fin d) → ℂ, MemLp f p →
MemLp (maximalFunction f) p ∧
eLpNorm (maximalFunction f) p volume ≤ A * eLpNorm f p volume) := by sorry
end DbarRegularity
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What the Lean code literally says, in plain math · claude-opus-5-5
Read-back: DbarRegularity.maximalFunction_bounds
Setting. Fixed ; functions , Lebesgue measure.
Hypotheses. Only (any natural number, allowed).
Definitions used. maximalFunction (, -valued Hardy–Littlewood maximal function over open balls); MemLp, eLpNorm, Integrable, lower integral .
Conclusion. A conjunction of three statements:
(a) for a.e. .
(b) .
(c) (as an -valued function: a.e.-strongly measurable with finite eLpNorm) and .
Quantifier order: first; in (b) before ; in (c) before .
Degenerate cases. is included in (a) and (c) (true: , ). : pointwise; all three hold trivially (). avoids ENNReal division by ; .
Remarks. MemLp for an ℝ≥0∞-valued function is valid here (ENorm ℝ≥0∞ with ). is lower semicontinuous, hence measurable. The weak bound uses the strict superlevel set , as in the standard statement.
Soundness checks.
- No Bochner integrals or
toRealappear; is the true norm. Constants areℝ≥0, so they cannot be .MemLphypotheses include measurability, so no junk. Nothing is vacuous: functions exist, and the conclusions are non-trivial for . - Constants depend only on (and in (c)), chosen before and : this is the standard Hardy–Littlewood maximal theorem (Stein Ch. I, Thm 1). Plausibly TRUE as written.
Verdict: no mis-formalization observed
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.