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Level decomposition of an distribution produces atoms
Statement
Assume Countable Choice. Fix the admissible kernel defining the quasi-norm. Let , , and let with the space and quasi-norm of The real Hardy space defined by a radial maximal function. Put , let be an integer and let be the Calderon reproducing pair of flatness from Calderon reproducing pair and the telescoping identity in . Fix an admissible grand-maximal order . For put . Then there are a countable family of -atoms and positive coefficients such that
- with ;
- with convergence in ;
- each atom is supported in a fixed dilation of a ball of the Whitney-type ball cover of for the corresponding level , with and vanishing moments through order , and the balls cover with multiplicity at most ;
- the centres and radii are those of Whitney-type ball cover with disjoint small balls and bounded overlap applied to each nonempty .
Facts & Assumptions
Given: Countable Choice, , , admissible , , , an integer , and the fixed reproducing pair with , .
Maximal characterisation: and is Borel and lower semicontinuous, so each is open (Maximal-function characterisations of real Hardy spaces, Measurability and lower semicontinuity of the smooth maximal functions).
Reproducing identity: in , , and for ; the identity and its justification are in Calderon reproducing pair and the telescoping identity in .
For every one has : indeed (Grand maximal test class of order N and the grand maximal function, [F1]).
Whitney-type ball cover of each nonempty : points , radii , pairwise disjoint balls with , comparison for meeting -balls and bounded overlap of the dilated balls (Whitney-type ball cover with disjoint small balls and bounded overlap).
Every with lies in ; the sets decrease in and are open, so is continuous and positive on (Measurability and lower semicontinuity of the smooth maximal functions).
Moment-tail estimate: if with and for , then for every and there is with for . This is the Taylor estimate (using Multivariable Taylor formula with a Lagrange remainder along a line segment separately on real and imaginary parts): expand about , use the vanishing moments, bound the remainder by with the Schwartz decay of and of its derivatives (Schwartz space and its seminorms, Dilations and their normalisations preserve Schwartz space, with scaling identities).
Ball volumes: with , one has and for , by Euclidean balls have positive finite Lebesgue measure and For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it.
A tempered distribution satisfying for all Schwartz tests is represented by an function bounded by . Indeed, density of complex in (Complex finite-simple and smooth compact-support density for finite p) uniquely extends to a bounded complex-linear functional on . Restrict it to , extending inputs by zero; . Apply For , the same representation theorem holds on arbitrary measure spaces at exponent two separately to the real and imaginary parts on real inputs, then combine by complex linearity, to obtain a complex density . Testing with times indicators of measurable subsets (zero where ) gives , hence a.e. Uniqueness of the densities makes them agree on nested cubes; choosing representatives under Countable Choice and discarding their countable union of disagreement null sets glues a globally bounded density. Density and truncation recover the functional on all of . All hypotheses of these suppliers hold under the assumed Countable Choice.
Proof technique: level-set decomposition, telescoping cancellation, Whitney covering and atom normalisation.
Proof
The level sets and scale shells. If , the empty atomic family gives the conclusion, so assume . Put and . By [F1], [F2], and layer cake (summing nonnegative indicators using Monotone convergence for the integral), so every has finite measure. For set , where . The sets are disjoint in . At a fixed , they cover every with for which : indeed, with and one has . After division by this is a test in , so a nonzero value at gives a positive lower bound for for all . Choosing below that bound puts , hence . Since is finite a.e., for a.e. such it is outside for all sufficiently large ; the nested sets therefore give a unique last index with . Points where form a null set, and where the displayed convolution is zero by the grand-maximal definition. Thus the partition the integrand up to a null set, which is all the integral and distributional identities below require. Finally, if , choose so negative that for . Then for , since each point of would force a ball of radius inside . If , set all its pieces to zero.
Local bounds and the two-boundary scale split. For every measurable , To see this, if is outside , use . Otherwise ; choose with and . Then and . Each inner kernel here is exactly a grand-maximal test dilation at cone scale : use for , for , and for . The cone definition of therefore gives . Multiplication by the fixed norms of the outer kernels and proves (1). For write Its norm is at most , uniformly in . Here are the scale details. If a summand can be nonzero at , then . Choose with , so . If also , choose with ; since , . For , the Lipschitz property of distance gives Thus, in any finite interval , at most four non-full boundary terms remain; the consecutive full terms telescope to The support balls of the two endpoint convolutions lie in and , respectively, so (1) bounds both endpoints by . If , only the at most four indices can contribute, and (1) applies directly. If , choose as above. There is no interaction for , while for every . The latter tail in any finite interval telescopes, with both endpoint convolutions localized in the corresponding and bounded by (1); only the two scales are left. These cases prove the uniform bound for every finite partial sum. For , the moment estimate [F7] and [F4] give, for , For , the same sum is at most , using and . The first bound is summable because , and for each fixed only finitely many negative occur because . Thus converges in . The uniform bounds for finite partial sums imply ; by the bounded-distribution representation [F9], is represented by an function with . No pointwise convergence of the infinite scale series is needed.
Whitney localization, overlap, and atoms. Fix a nonempty and take the cover [F5], writing and . Then , so the cover with multiplicity at most the exact constant from [F5]. For each , let be the unique integer with . For , put and Put and . These sets are disjoint and cover : if , choose a covering ball containing . Then and , so and . Hence , and the greatest eligible index assigns it to exactly one , once the finite overlap below is established. The actual localization neighborhoods with have uniformly finite overlap. For such an index , so and whenever . If two eligible neighborhoods meet, the 1-Lipschitz property of gives, for and , so . For any finite collection of eligible neighborhoods containing one point , the disjoint balls therefore have radii at least and lie in . Comparing volumes gives multiplicity at most at every fixed scale. If , then and the support of lies in the ball of radius about , hence in . It remains to prove a uniform estimate for . We use the following explicit localization estimate. For any set and integers , replacing by in still gives an norm at most . If , the sum is zero. If and , all kernel-support balls lie in these neighborhoods and the sum is the full bounded partial sum. If , choose with . Then lies in the neighborhood for and is disjoint from it for , leaving only two boundary scales, each bounded by (1). The same estimate holds for the infinite tail: the preceding absolute pairing bounds give distributional convergence, and the uniform finite-sum bounds pass to the limit by the same bounded-distribution representation [F9] used in step 2.1. Let be all later indices for which . By [F5], and . Put , let be the least integer with , and set . Then , while and . Hence and , so . For every each neighborhood with lies in . To exclude other later indices without presupposing their radii, a meeting point gives . Here , so this distance is less than . Thus and . All indices in are eligible at these scales because . Consequently the high-scale part is exactly the difference of the two localized sums associated with and , each bounded by the localization estimate. There are at most seven lower scales , each bounded by (1). Thus uniformly in . Absolute convergence against Schwartz tests follows by summing [F7] over the disjoint sets ; for the bound is as above. Each summand is compactly supported in and has zero moments through order by the moments of . Choose the representative of to vanish outside its compact support. That support lies in the closed ball of radius , so it is contained in the open ball . For fixed , is bounded, has finite measure, and is bounded by [F4], so absolute integrability and Tonelli's theorem for nonnegative measurable functions on a sigma-finite product applied to the absolute values justify each moment integral. The distributional limit is supported in and has the same moments, by testing against a smooth compactly supported test equal to each monomial on a neighborhood of the closed ball (construct the cutoff from The standard smooth step function). Finally, the sets partition the , and the absolute pairing bounds summed over all show Indeed, for the full sum of absolute pairings is bounded by using [F7]; for it is bounded by . Sum in and apply the Calderon reproducing identity [F3].
Atom normalization. Choose an axis-parallel cube centered at with side length ; it contains , and . Enlarge if needed so that , where is the constant in the preceding estimate. Put Then , , and the choice of gives . Its moments vanish through order , hence through , because . Thus is a -atom in the cube-supported convention of atoms with a prescribed moment order, and in .
Coefficient bound. Since and with multiplicity at most , by the layer-cake estimate and [F1]. This proves the coefficient bound.
Conclusion. The zero case was handled at the start. For , steps 3.1 and 4.1 produce the atoms and coefficients, step 5.1 gives the estimate, and the absolutely convergent distributional sum in step 3.1 equals . Hence all four claims hold.
Depends on
- $H^p$ atoms with a prescribed moment order
- The real Hardy space $H^p$ defined by a radial maximal function
- Grand maximal test class of order N and the grand maximal function
- Maximal-function characterisations of real Hardy spaces
- Calderon reproducing pair and the telescoping identity in $\mathcal S'$
- Whitney-type ball cover with disjoint small balls and bounded overlap
- Measurability and lower semicontinuity of the smooth maximal functions
- Convolution of a tempered distribution with a schwartz function
- Tempered convolution is smooth with polynomial growth
- Schwartz space and its seminorms
- Axis-parallel rectangles in $\mathbb{R}^m$ and their volume
- 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
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Dilations and their normalisations preserve Schwartz space, with scaling identities
- For $1 < p < \infty$, the same representation theorem holds on arbitrary measure spaces
- Complex finite-simple and smooth compact-support density for finite p
- Multivariable Taylor formula with a Lagrange remainder along a line segment
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Monotone convergence for the integral
- The standard smooth step function
Used by
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Sources
- Shai Dekel, Gerard Kerkyacharian, George Kyriazis, Pencho Petrushev, A New Proof of the Atomic Decomposition of Hardy Spaces, Constructive Theory of Functions (Sozopol 2016), pp. 59-73 (standard reference, not scraped)
- Mark Williams, Notes on Harmonic Analysis (January 11, 2022) (standard reference, not scraped)