Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6.1-sol)
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Radial and nontangential maximal functions of a tempered distribution

Definition

Fix an integer n≥1, work with S(Rn) and S′(Rn) of Schwartz space and its seminorms and Tempered distribution, and let φ∈S(Rn) satisfy ∫Rnφ≠0. For t>0 write φt(x)=t−nφ(x/t),x∈Rn. For f∈S′(Rn) define the radial maximal function Mφ0f(x)=sup⁡t>0∣(f∗φt)(x)∣,x∈Rn, and, for an aperture a≥1, the nontangential maximal function Mφ∗,af(x)=sup⁡t>0 sup⁡∣y−x∣≤at∣(f∗φt)(y)∣,x∈Rn.

Each convolution is the distributional convolution of Convolution of a tempered distribution with a schwartz function. It is well defined: x↦t−nφ(x/t) again lies in S(Rn) by Dilations and their normalisations preserve Schwartz space, with scaling identities, so the pairing of f with the reflected translate of φt exists at every point. Its values are smooth and of polynomial growth by Tempered convolution is smooth with polynomial growth, so each function x↦(f∗φt)(x) is finite at every point and the suprema displayed above are suprema of a nonempty family of real numbers; the radial case is the diagonal y=x of the nontangential case, so Mφ0f≤Mφ∗,af for every a≥1.

The aperture convention is ∣y−x∣≤at with the closed cone, and the normalisation t−n is the one of the sources. Under Countable Choice (The Axiom of Countable Choice (ACω)), each φt has the same integral as φ by Dilations and their normalisations preserve Schwartz space, with scaling identities. This additional mass identity uses that supplier's stated choice premise. No measurability of Mφ0f or Mφ∗,af is asserted here, and the pointwise convolution and maximal-function definitions use no choice principle; the finiteness of the supremum at a point is not claimed, since the family {(f∗φt)(y)} need not be bounded a priori. Apertures a>1 and the grand maximal function are treated in the following items.

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