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Ball and cube maximal functions are pointwise comparable
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). There is a constant , depending only on the dimension, such that every Euclidean ball contains an axis-parallel cube and is contained in an axis-parallel cube with ; explicitly, for one may take and and . Consequently, for every and every , and the centred versions satisfy the same two-sided comparison with a constant that is a dimensional power of (with and for a comparison constant; the displayed is the one for the pure cube sandwich, up to dimensional factors). Hence the cube-based and ball-based Muckenhoupt characteristics and differ by at most a dimensional power of such a , and boundedness of the ball maximal operator on is equivalent to boundedness of any cube maximal function.
Facts & Assumptions
Given: Countable Choice, a locally integrable , and points and radii as below.
has side , Lebesgue measure , its dilates satisfy , and (Axis-parallel cubes, their averages, and cube maximal functions).
and , the second supremum over all Euclidean balls containing (The centered and uncentered Hardy-Littlewood maximal functions).
Every ball is Lebesgue measurable with , and with (Euclidean balls have positive finite Lebesgue measure, For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it, Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation), since .
For a nonnegative measurable the set function is a measure (The indefinite integral of a nonnegative measurable function is a measure), so measurable implies (Measures are monotone).
Proof
Sandwiches: for one has and , because for all gives , and gives for every . By [F1] and [F3], and , so the ratio is ; also and .
First comparison: fix and . For every , step 1.1 and [F4] give , hence ; taking the supremum over gives , and the same computation with a ball containing in place of the centred ball gives .
Second comparison: let contain . Then , and , so by [F2] ; moreover and [F4] give , hence by [F3]. Taking the supremum over all gives ; for the centred version the same computation with and gives .
Both assertions of the Statement now follow with , which is finite because : the two-sided pointwise bounds are steps 2.1 and 2.2 (the displayed sandwich constant appears here only through dimensional factors). For the characteristic comparison, let be a weight, and ; for a cube let be a ball with and , and note that [F4] applied to and gives . Conversely every ball is contained in a cube with , so monotonicity of both integrals bounds the ball product by times the cube product; the two suprema therefore differ by at most the dimensional factor . Finally, because all four maximal functions are pointwise comparable in pairs by constants independent of , if one of them has finite norm for every then so do the others, with norms bounded by the corresponding dimensional multiples; this is the asserted equivalence of boundedness.
Depends on
- Axis-parallel cubes, their averages, and cube maximal functions
- The centered and uncentered Hardy-Littlewood maximal functions
- Euclidean balls have positive finite Lebesgue measure
- Measures are monotone
- 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
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The indefinite integral of a nonnegative measurable function is a measure
Used by
- Muckenhoupt Aₚ and A₁ weights Definition
- The weighted maximal function of a doubling weight Definition
- The Aₚ range of a power weight Example
- Aₚ weights are doubling Lemma
- Power decay implies doubling Lemma
- The two defining forms of A₁ agree Lemma
- Unweighted local good-lambda estimate for maximal truncations Lemma
- The Hardy-Littlewood maximal operator characterises Aₚ Theorem
Dependency tree · two levels
47 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Loukas Grafakos, Classical Fourier Analysis, 3rd ed. (Springer GTM 249, 2014) (standard reference, not scraped)
- Juha Kinnunen, Harmonic Analysis (Aalto University lecture notes) (standard reference, not scraped)