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Radially decreasing kernels are dominated by the maximal function

Statement

Assume Countable Choice (The Axiom of Countable Choice (ACω)).

Let ω≥0 be a measurable, radially nonincreasing, integrable function on Rn: that is, ω(x)=ω(y) whenever ∣x∣=∣y∣ and ω(x)≥ω(y) whenever ∣x∣≤∣y∣. Let f∈Lloc1(Rn). Then for every x∈Rn, ∫Rn∣f(x−y)∣ ω(y) dy≤∥ω∥1 Mf(x), where M is the centered Hardy–Littlewood maximal operator and both sides may be +∞.

Facts & Assumptions

Given: Countable Choice (The Axiom of Countable Choice (ACω)), which is assumed both by the definition of the maximal function [F1] and by the scaling identity [F5]; a radially nonincreasing integrable ω≥0; a function f∈Lloc1(Rn); a point x∈Rn; a height t>0.

[F1]

Mf(x)=sup⁡r>0λ(B(x,r))−1∫B(x,r)∣f∣ dλ, with values in [0,∞] (The centered and uncentered Hardy-Littlewood maximal functions); consequently ∫B(x,r)∣f∣ dλ≤λ(B(x,r))Mf(x) for every r>0 whenever Mf(x)<∞.

[F2]

For measurable A⊆B one has μ(A)≤μ(B) (Measures are monotone), and every Euclidean ball is Lebesgue measurable with 0<λ(B(x,r))<∞ (Euclidean balls have positive finite Lebesgue measure).

[F3]

For measurable g and 0<q<∞, ∫∣g∣q dλ=q∫0∞tq−1λ({∣g∣>t}) dt, both sides possibly +∞; in particular the case q=1 computes ∥ω∥1 (For 0 < p < infinity, the layer-cake formula computes the integral of |f|^p from the distribution function).

[F4]

On a product of σ-finite measure spaces, a nonnegative product-measurable function may be integrated in either order (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F5]

For nonzero real c and Lebesgue measurable E, λ(cE)=∣c∣nλ(E) (For a nonzero real c, dilation by c multiplies Lebesgue outer measure by ∣c∣n, and reflection in the origin preserves it); in particular λ(B(0,r))=rnλ(B(0,1)) for r>0, and t↦tn is continuous.

Proof

technique · direct
1.1F1givenconstruct

Fix x and put g(y):=∣f(x−y)∣ for y∈Rn; then g≥0 is measurable and locally integrable, ∫∣f(x−y)∣ω(y) dy=∫g ω dλ, and substitution z=x−y (with B(x,r)=x−B(0,r) and translation invariance of λ) gives sup⁡r>0λ(B(0,r))−1∫B(0,r)g dλ=sup⁡r>0λ(B(x,r))−1∫B(x,r)∣f∣ dλ=Mf(x), that is, Mg(0)=Mf(x); if ∥ω∥1=0, the nonnegative integrand vanishes almost everywhere and both sides are zero (with the usual zero-times-infinity convention). Otherwise the case Mf(x)=+∞ makes the desired inequality trivial, so assume Mf(x)<∞ and fix a height t>0.

1.2F1F2F5givenalgebra

For t>0 put St:={ω>t} and rt:=sup⁡{∣y∣:y∈St}∈[0,∞], using rt=0 when St=∅. Then rt<∞: if rt=∞, then for every ρ>0 radial monotonicity and the definition of the supremum give B(0,ρ)⊆St, so ∥ω∥1≥t λ(B(0,ρ)) for all ρ, which is impossible because λ(B(0,ρ))→∞ as ρ→∞. Moreover B(0,rt)⊆St⊆B(0,rt+ε) for every ε>0: the first inclusion uses that ∣z∣<rt provides y∈St with ∣y∣>∣z∣ and then ω(z)≥ω(y)>t, and the second uses ∣y∣≤rt for y∈St. Consequently, by monotonicity [F2] and the scaling identity [F5], λ(St)≤λ(B(0,rt+ε))=(rt+ε)nλ(B(0,1))(ε>0),λ(B(0,rt))=rtnλ(B(0,1)), so letting ε↓0 along ε=1/k and using continuity of t↦tn yields λ(St)=λ(B(0,rt)).

2.1F1F2F5step 1.1step 1.2algebra

For every ρ>0 one has ∫B(0,ρ)g dλ≤λ(B(0,ρ))Mg(0)=λ(B(0,ρ))Mf(x) by [F1] and step 1.1, hence for every ε>0 the inclusions of step 1.2 give ∫Stg dλ≤∫B(0,rt+ε)g dλ≤(rt+ε)nλ(B(0,1))Mf(x); letting ε↓0 as in step 1.2 gives ∫Stg dλ≤λ(B(0,rt))Mf(x).

2.2F3step 1.2algebra

The layer-cake identity [F3] applied to ω with q=1, together with λ(St)=λ(B(0,rt)) from step 1.2, gives ∥ω∥1=∫0∞λ(St) dt=∫0∞λ(B(0,rt)) dt.

3.1F4step 2.1step 2.2algebra∎

The pointwise identity ω(y)=∫0∞1St(y) dt for y∈Rn, Tonelli's theorem [F4] applied to the nonnegative product-measurable integrand (y,t)↦g(y)1St(y), and steps 2.1 and 2.2 give ∫g ω dλ=∫0∞ ⁣ ⁣∫Stg dλ dt≤∫0∞λ(B(0,rt))Mf(x) dt=Mf(x)∫0∞λ(B(0,rt)) dt=Mf(x)∥ω∥1, which is the asserted inequality; the case Mf(x)=+∞ was already trivial in step 1.1.

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