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Ball and cube maximal functions are pointwise comparable

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). There is a constant Cn<∞, depending only on the dimension, such that every Euclidean ball B contains an axis-parallel cube Q1 and is contained in an axis-parallel cube Q2 with ∣Q2∣≤Cn∣Q1∣; explicitly, for B=B(x,r) one may take Q1=Q(x,r/n) and Q2=Q(x,r) and Cn=nn/2. Consequently, for every f∈Lloc1(Rn) and every x∈Rn, M∗f(x)≤CnMc∗f(x),Mc∗f(x)≤CnM∗f(x), and the centred versions satisfy the same two-sided comparison with a constant that is a dimensional power of Cn (with Cn=max⁡{2n/vn,  vnnn/2/2n} and vn=λ(B(0,1)) for a comparison constant; the displayed Cn=nn/2 is the one for the pure cube sandwich, up to dimensional factors). Hence the cube-based and ball-based Muckenhoupt characteristics sup⁡Q⟨w⟩Q⟨w−1/(p−1)⟩Qp−1 and sup⁡B⟨w⟩B⟨w−1/(p−1)⟩Bp−1 differ by at most a dimensional power of such a Cn, and boundedness of the ball maximal operator on Lp(w) is equivalent to boundedness of any cube maximal function.

Facts & Assumptions

Given: Countable Choice, a locally integrable f, and points and radii as below.

[F1]

Q(x,r)=∏i(xi−r,xi+r) has side 2r, Lebesgue measure (2r)n, its dilates satisfy λQ(x,r)=Q(x,λr), and ⟨f⟩Q=∣Q∣−1∫Qf dλ (Axis-parallel cubes, their averages, and cube maximal functions).

[F2]

Mf(x)=sup⁡r>0λ(B(x,r))−1∫B(x,r)∣f∣ and M∗f(x)=sup⁡B∋xλ(B)−1∫B∣f∣, the second supremum over all Euclidean balls containing x (The centered and uncentered Hardy-Littlewood maximal functions).

[F3]

Every ball B(x,r) is Lebesgue measurable with 0<λ(B(x,r))<∞, and λ(B(x,r))=vnrn with vn=λ(B(0,1))∈(0,∞) (Euclidean balls have positive finite Lebesgue measure, For a nonzero real c, dilation by c multiplies Lebesgue outer measure by ∣c∣n, and reflection in the origin preserves it, Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation), since B(x,r)=x+rB(0,1).

[F4]

For a nonnegative measurable g the set function A↦∫Ag dλ is a measure (The indefinite integral of a nonnegative measurable function is a measure), so A⊆B measurable implies ∫Ag dλ≤∫Bg dλ (Measures are monotone).

Proof

technique · direct
1.1F1F3algebra

Sandwiches: for B=B(x,r) one has Q(x,r/n)⊆B(x,r) and B(x,r)⊆Q(x,r), because ∣yi−xi∣<r/n for all i gives ∣y−x∣<n(r/n)=r, and ∣y−x∣<r gives ∣yi−xi∣<r for every i. By [F1] and [F3], ∣Q(x,r)∣=(2r)n and ∣Q(x,r/n)∣=(2r/n)n, so the ratio is nn/2; also ∣Q(x,r)∣/∣B(x,r)∣=2n/vn and ∣B(x,r)∣/∣Q(x,r)∣=vn/2n.

2.1F1F2F4step 1.1algebra

First comparison: fix f∈Lloc1 and x. For every r>0, step 1.1 and [F4] give ∫B(x,r)∣f∣≤∫Q(x,r)∣f∣, hence λ(B(x,r))−1∫B(x,r)∣f∣≤(∣Q(x,r)∣/λ(B(x,r)))⟨∣f∣⟩Q(x,r)=(2n/vn)⟨∣f∣⟩Q(x,r)≤(2n/vn)Mcf(x); taking the supremum over r gives Mf(x)≤(2n/vn)Mcf(x), and the same computation with a ball containing x in place of the centred ball gives M∗f(x)≤(2n/vn)Mc∗f(x).

2.2F1F2F3F4step 1.1algebra

Second comparison: let Q=Q(y,r) contain x. Then Q⊆B(y,nr), and x∈B(y,nr), so by [F2] ⟨∣f∣⟩B(y,nr)≤M∗f(x); moreover Q⊆B(y,nr) and [F4] give ∫Q∣f∣≤∫B(y,nr)∣f∣, hence ⟨∣f∣⟩Q≤(λ(B(y,nr))/∣Q∣)⟨∣f∣⟩B(y,nr)≤(vnnn/2/2n)M∗f(x) by [F3]. Taking the supremum over all Q∋x gives Mc∗f(x)≤(vnnn/2/2n)M∗f(x); for the centred version the same computation with Q=Q(x,r) and B(x,nr) gives Mcf(x)≤(vnnn/2/2n)Mf(x).

3.1F1F2F4step 1.1step 2.1step 2.2algebra∎

Both assertions of the Statement now follow with Cn=max⁡{2n/vn, vnnn/2/2n}, which is finite because vn∈(0,∞): the two-sided pointwise bounds are steps 2.1 and 2.2 (the displayed Cn=nn/2 sandwich constant appears here only through dimensional factors). For the characteristic comparison, let w be a weight, 1<p<∞ and σ=w−1/(p−1); for a cube Q let BQ be a ball with Q⊆BQ and ∣BQ∣≤Cn∣Q∣, and note that [F4] applied to g=w and g=σ gives ⟨w⟩Q⟨σ⟩Qp−1≤(∣BQ∣/∣Q∣)p⟨w⟩BQ⟨σ⟩BQp−1≤Cnpsup⁡B⟨w⟩B⟨σ⟩Bp−1. Conversely every ball B is contained in a cube QB with ∣QB∣≤Cn∣B∣, so monotonicity of both integrals bounds the ball product by Cnp times the cube product; the two suprema therefore differ by at most the dimensional factor Cnp. Finally, because all four maximal functions are pointwise comparable in pairs by constants independent of f, if one of them has finite Lp(w) norm for every f then so do the others, with norms bounded by the corresponding dimensional multiples; this is the asserted equivalence of boundedness.

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