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L2-normalised H1 atoms have uniformly bounded H1 norm
Statement
Assume Countable Choice. Fix an admissible kernel with and an auxiliary integer order for the grand-maximal characterisation. Let be a -atom supported in a cube : vanishes off , and . Then , with the constant independent of and the atom.
Facts & Assumptions
Given: Countable Choice, the fixed admissible kernel and auxiliary integer order from the statement; also let be a -atom supported in a cube with centre and side , and the functionals and spaces of The real Hardy space defined by a radial maximal function and Grand maximal test class of order N and the grand maximal function.
The test class is with , with ; in particular and, from the componentwise derivative bounds in the seminorm, for every (Grand maximal test class of order N and the grand maximal function).
Every class has a representative defining a tempered distribution, and for the regular distribution of a locally integrable compactly supported the convolution is (Polynomial growth functions define tempered distributions, Convolution of a tempered distribution with a schwartz function).
The stated atom hypotheses give , and ; hence by Cauchy-Schwarz on the finite-measure cube (Cauchy-Schwarz inequality for ).
Once has been established, the maximal-function characterisation gives and and is Borel measurable (Maximal-function characterisations of real Hardy spaces, Measurability and lower semicontinuity of the smooth maximal functions).
The centered Hardy-Littlewood maximal operator satisfies and is Borel measurable for (The centered maximal operator is bounded on for , The centered Hardy-Littlewood maximal function is Borel measurable, The centered and uncentered Hardy-Littlewood maximal functions).
A Euclidean ball of radius is contained in the axis-parallel box of side with the same centre; under Countable Choice that box has Lebesgue measure , and Lebesgue measure is monotone (Axis-parallel rectangles in and their volume, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Measures are monotone).
Under Countable Choice, for a finite positive constant depending only on dimension (Sphere and ball measures scale in Rn).
Proof
Since is supported in the finite-measure cube , [F2] identifies its regular distribution with a tempered distribution; [F3] gives . For every , . Fix and . Split the convolution integral into and the annuli for . The ball inclusions and , together with [F5] and [F7], give since makes the geometric series converge. Taking suprema gives pointwise.
Near region. Put and . By [F6], , since the ball is contained in the corresponding axis-parallel cube. Cauchy-Schwarz together with the bound of [F5] and step 1.1 gives .
Far region, pointwise. Assume ; then every satisfies , so for and on the segment between and one has . If , then and with because and ; if , the same difference is at most by [F1]. Using to write and from [F3], both cases give , and taking suprema over , and yields .
Far region, integration. Covering by the shells , each contained in a cube of side , and using step 2.2 gives .
Combining steps 2.1 and 3.1, , so [F4] gives , independent of and of the atom. Countable Choice is inherited from the maximal-function and measure suppliers [F4]-[F7].
Depends on
- Grand maximal test class of order N and the grand maximal function
- Radial and nontangential maximal functions of a tempered distribution
- The real Hardy space $H^p$ defined by a radial maximal function
- Convolution of a tempered distribution with a schwartz function
- Measurability and lower semicontinuity of the smooth maximal functions
- Maximal-function characterisations of real Hardy spaces
- The centered and uncentered Hardy-Littlewood maximal functions
- The centered maximal operator is bounded on $L^p(\mathbb{R}^n)$ for $1<p<\infty$
- The centered Hardy-Littlewood maximal function is Borel measurable
- Axis-parallel rectangles in $\mathbb{R}^m$ and their volume
- The space $L^p(\mu)$ as the quotient by null functions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Polynomial growth functions define tempered distributions
- Cauchy-Schwarz inequality for $L^2$
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Sphere and ball measures scale in Rn
- Measures are monotone
Used by
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Sources
- Mark Williams, Notes on Harmonic Analysis (January 11, 2022) (standard reference, not scraped)