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Level decomposition of an Hp distribution produces atoms

Statement

Assume Countable Choice. Fix the admissible kernel φ defining the Hp quasi-norm. Let n≥1, 0<p≤1, and let f∈Hp(Rn) with the space and quasi-norm of The real Hardy space Hp defined by a radial maximal function. Put s=⌊n(1/p−1)⌋, let K≥n/p be an integer and let Φ,ψ,ψ~ be the Calderon reproducing pair of flatness K from Calderon reproducing pair and the telescoping identity in S′. Fix an admissible grand-maximal order N≥max⁡{N0(n,p,φ), n, ⌊n/p⌋+1}. For r∈Z put Ωr={x:MNf(x)>2r}. Then there are a countable family (aB) of (p,∞,s)-atoms and positive coefficients λB such that

  1. ∑BλBp≤C∥f∥Hpp with C=C(n,p,N,K,φ,Φ)<∞;
  2. f=∑BλBaB with convergence in S′(Rn);
  3. each atom aB is supported in a fixed dilation B⋆=7B of a ball B=B(ξ,ρ(ξ)/2) of the Whitney-type ball cover of Ωr for the corresponding level r, with ∥aB∥L∞≤∣B⋆∣−1/p and vanishing moments through order s, and the balls B cover Ωr with multiplicity at most K(n)=785n;
  4. the centres and radii are those of Whitney-type ball cover with disjoint small balls and bounded overlap applied to each nonempty Ωr.

Facts & Assumptions

Given: Countable Choice, n≥1, 0<p≤1, admissible N≥max⁡(N0(n,p,φ),max⁡(n,⌊n/p⌋+1)), f∈Hp, s=⌊n(1/p−1)⌋, an integer K≥n/p, and the fixed reproducing pair Φ,ψ,ψ~ with ψk(x)=2knψ(2kx), ψ~k(x)=2knψ~(2kx).

[F1]

Maximal characterisation: ∥MNf∥Lp≤C0(n,p,N,φ)∥f∥Hp and MNf is Borel and lower semicontinuous, so each Ωr is open (Maximal-function characterisations of real Hardy spaces, Measurability and lower semicontinuity of the smooth maximal functions).

[F2]

Layer-cake bound: ∑r∈Z2pr∣Ωr∣≤Cp∥MNf∥Lpp, since ∑r2pr∣Ωr∣=∑ν∣Ων∖Ων+1∣∑r≤ν2pr≤Cp∑ν2pν∣Ων∖Ων+1∣≤Cp∫(MNf)p (Measurability and lower semicontinuity of the smooth maximal functions, The real Hardy space Hp defined by a radial maximal function).

[F3]

Reproducing identity: f=∑k∈Zψk∗ψ~k∗f in S′, supp⁡ψk⊆B(0,2−k), and ∫ψ(x)xαdx=0 for ∣α∣≤K; the identity and its justification are in Calderon reproducing pair and the telescoping identity in S′.

[F4]

For every k∈Z one has ∥ψ~k∗f∥L∞≤c2kn/p∥f∥Hp: indeed ∣ψ~k∗f(x)∣p≤inf⁡∣x−y∣≤2−ksup⁡∣y−z∣≤2−k∣ψ~k∗f(z)∣p≤cinf⁡∣x−y∣≤2−kMNf(y)p≤c∣B(x,2−k)∣−1∫B(x,2−k)(MNf)p≤c2kn∥MNf∥pp (Grand maximal test class of order N and the grand maximal function, [F1]).

[F5]

Whitney-type ball cover of each nonempty Ωr: points ξj, radii ρj=ρ(ξj), pairwise disjoint balls B(ξj,ρj/8) with ⋃jB(ξj,ρj/2)=Ωr, comparison ρj/7≤ρν≤7ρj for meeting 3ρ/4-balls and bounded overlap K(n) of the dilated balls B(ξj,3ρj/4) (Whitney-type ball cover with disjoint small balls and bounded overlap).

[F6]

Every x with MNf(x)>2r lies in Ωr; the sets Ωr decrease in r and are open, so dist⁡(⋅,Ωrc) is continuous and positive on Ωr (Measurability and lower semicontinuity of the smooth maximal functions).

[F7]

Moment-tail estimate: if Ψ∈Cc∞ with supp⁡Ψ⊆B(0,1) and ∫Ψ(z)zαdz=0 for ∣α∣≤K, then for every χ∈S and σ>n there is cσ with ∣∫RnΨk(x−y)χ(x)dx∣≤cσ2−k(K+1)(1+∣y∣)−σ for k≥0. This is the Taylor estimate (using Multivariable Taylor formula with a Lagrange remainder along a line segment separately on real and imaginary parts): expand χ about y, use the vanishing moments, bound the remainder by C2−k(K+1)(1+∣y∣)−σ with the Schwartz decay of χ and of its derivatives (Schwartz space and its seminorms, Dilations and their normalisations preserve Schwartz space, with scaling identities).

[F8]

Ball volumes: with ωn=∣B(0,1)∣, one has 0<ωn<∞ and ∣B(x,R)∣=ωnRn for R>0, by Euclidean balls have positive finite Lebesgue measure and For a nonzero real c, dilation by c multiplies Lebesgue outer measure by ∣c∣n, and reflection in the origin preserves it.

[F9]

A tempered distribution u satisfying ∣⟨u,χ⟩∣≤D∥χ∥1 for all Schwartz tests is represented by an L∞ function bounded by D. Indeed, density of complex Cc∞ in L1 (Complex finite-simple and smooth compact-support density for finite p) uniquely extends u to a bounded complex-linear functional on L1. Restrict it to L2([−m,m]n), extending inputs by zero; ∥h∥1≤(2m)n/2∥h∥2. Apply For 1<p<∞, 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 gm. Testing with gm‾/∣gm∣ times indicators of measurable subsets (zero where gm=0) gives ∫E∣gm∣≤D∣E∣, hence ∣gm∣≤D a.e. Uniqueness of the L2 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 L1. All hypotheses of these suppliers hold under the assumed Countable Choice.

Proof technique: level-set decomposition, telescoping cancellation, Whitney covering and atom normalisation.

Proof

technique · constructive
1.1F1F2F4F6F8algebraconstruct

The level sets and scale shells. If f=0, the empty atomic family gives the conclusion, so assume f≠0. Put M=MNf and Ωr={M>2r}. By [F1], [F2], and layer cake (summing nonnegative indicators using Monotone convergence for the integral), ∑r∈Z2pr∣Ωr∣≤Cp∥M∥pp≤C∥f∥Hpp, so every Ωr has finite measure. For k∈Z set ak=2−k+1, Ukr={x∈Ωr:dr(x)>ak},Vkr={x∈Ωr+1:dr+1(x)>ak},Erk=Ukr∖Vkr, where dr(x)=dist⁡(x,Ωrc). The sets Erk are disjoint in r. At a fixed k, they cover every y with 0<M(y)<∞ for which ψ~k∗f(y)≠0: indeed, with η=4nψ~(4 ⋅) and tk=2−k+2 one has ηtk=ψ~k. After division by PN(η) this is a test in FN, so a nonzero value at y gives a positive lower bound for M(z) for all ∣z−y∣≤tk. Choosing r below that bound puts B(y,tk)⊂Ωr, hence y∈Ukr. Since M∈Lp is finite a.e., for a.e. such y it is outside Ωr for all sufficiently large r; the nested sets Ukr therefore give a unique last index r with y∈Erk. Points where M=∞ form a null set, and where M=0 the displayed convolution is zero by the grand-maximal definition. Thus the Erk partition the integrand ψ~k∗f up to a null set, which is all the integral and distributional identities below require. Finally, if Ωr≠∅, choose sr so negative that ωnakn>∣Ωr∣ for k<sr. Then Ukr=Erk=∅ for k<sr, since each point of Ukr would force a ball of radius ak inside Ωr. If Ωr=∅, set all its pieces to zero.

2.1step 1.1F3F4F6F7F9algebra

Local bounds and the two-boundary scale split. For every measurable A⊆Erk, ∥∫Aψk( ⋅−y)(ψ~k∗f)(y) dy∥∞≤C2r,∥∫AΦm( ⋅−y)(Φm∗f)(y) dy∥∞≤C2r(m=k,k+1).(1) To see this, if y∈Erk is outside Ωr+1, use z=y. Otherwise dr+1(y)≤ak<dr(y); choose z∈Ωr+1c with ∣z−y∣<dr+1(y)+ϵ<dr(y) and ∣z−y∣<2ak. Then z∈Ωr∖Ωr+1 and M(z)≤2r+1. Each inner kernel here is exactly a grand-maximal test dilation at cone scale 2ak: use 4nψ~(4⋅) for ψ~k, 4nΦ(4⋅) for Φk, and 8nΦ(8⋅) for Φk+1. The cone definition of MN therefore gives ∣ψ~k∗f(y)∣+∣Φm∗f(y)∣≤C2r. Multiplication by the fixed L1 norms of the outer kernels ψk and Φm proves (1). For sr≤q≤m write Fr,q,m(x)=∑k=qm∫Erkψk(x−y)(ψ~k∗f)(y) dy. Its L∞ norm is at most C2r, uniformly in r,q,m. Here are the scale details. If a summand can be nonzero at x, then x∈Ωr. Choose ℓ with x∈Uℓ+1r∖Uℓr, so 2−ℓ<dr(x)≤2−ℓ+1. If also x∈Ωr+1, choose ν with x∈Vν+1r∖Vνr; since dr(x)≥dr+1(x), ν≥ℓ. For ν≥ℓ+3, the Lipschitz property of distance gives B(x,2−k)∩Erk=∅ (k≤ℓ−1 or k≥ν+2),B(x,2−k)⊂Erk (ℓ+2≤k≤ν−1). Thus, in any finite interval [q,m], at most four non-full boundary terms remain; the consecutive full terms k=u,…,v telescope to ∑k=uvψk∗ψ~k∗f(x)=Φv+1∗Φv+1∗f(x)−Φu∗Φu∗f(x). The support balls of the two endpoint convolutions lie in Erv and Eru, respectively, so (1) bounds both endpoints by C2r. If ℓ≤ν≤ℓ+2, only the at most four indices ℓ,…,ν+1 can contribute, and (1) applies directly. If x∈Ωr∖Ωr+1, choose ℓ as above. There is no interaction for k≤ℓ−1, while B(x,2−k)⊂Erk for every k≥ℓ+2. The latter tail in any finite interval telescopes, with both endpoint convolutions localized in the corresponding Erk and bounded by (1); only the two scales ℓ,ℓ+1 are left. These cases prove the uniform bound for every finite partial sum. For χ∈S, the moment estimate [F7] and [F4] give, for k≥0, ∑r∣⟨grk,χ⟩∣≤Cχ2−k(K+1−n/p)∥f∥Hp,grk(x)=∫Erkψk(x−y)(ψ~k∗f)(y) dy. For k<0, the same sum is at most Cχ2kn/p∥f∥Hp, using ∥ψk∥1=∥ψ∥1 and ∥ψ~k∗f∥∞≤C2kn/p∥f∥Hp. The first bound is summable because K≥n/p, and for each fixed r only finitely many negative k occur because k≥sr. Thus Fr=∑k≥srgrk converges in S′. The uniform bounds for finite partial sums imply ∣⟨Fr,χ⟩∣≤C2r∥χ∥1; by the bounded-distribution representation [F9], Fr is represented by an L∞ function with ∥Fr∥∞≤C2r. No pointwise convergence of the infinite scale series is needed.

3.1step 2.1F3F4F5F7F8F9algebra

Whitney localization, overlap, and atoms. Fix a nonempty Ωr and take the cover [F5], writing Bj=B(ξj,ρj/2) and Wj=B(ξj,3ρj/4). Then Bj⊂Wj, so the Bj cover Ωr with multiplicity at most the exact constant K(n)=785n from [F5]. For each j, let k0(j) be the unique integer with 2−k0(j)<ρj≤2−k0(j)+1. For k≥sr, put Nj,k={y:dist⁡(y,Bj)<ak} and Arjk={Erk∩Nj,k,k≥k0(j),∅,k<k0(j). Put Rrjk=Arjk∖⋃m>jArmk and grjk(x)=∫Rrjkψk(x−y)(ψ~k∗f)(y) dy. These sets are disjoint and cover Erk: if y∈Erk, choose a covering ball Bj containing y. Then dr(y)>ak=2⋅2−k and dr(y)≤dr(ξj)+∣y−ξj∣<3ρj/2, so 2−k<3ρj/4<ρj and k≥k0(j). Hence y∈Arjk, and the greatest eligible index assigns it to exactly one Rrjk, once the finite overlap below is established. The actual localization neighborhoods Nj,k with k≥k0(j) have uniformly finite overlap. For such an index 2−k<ρj, so ak<2ρj and ∣y−ξj∣<ρj/2+ak<5ρj/2 whenever y∈Nj,k. If two eligible neighborhoods meet, the 1-Lipschitz property of dr gives, for R=max⁡(ρj,ρm) and r0=min⁡(ρj,ρm), R−r0≤∣ξj−ξm∣<12(R+r0)+4r0, so R<11r0. For any finite collection of eligible neighborhoods containing one point y, the disjoint balls B(ξj,ρj/8) therefore have radii at least R/88 and lie in B(y,21R/8). Comparing volumes gives multiplicity at most 231n at every fixed scale. If Arjk≠∅, then k≥k0(j) and the support of ψk∗[(ψ~k∗f)1Rrjk] lies in the ball of radius ρj/2+3⋅2−k<7ρj/2 about ξj, hence in 7Bj. It remains to prove a uniform L∞ estimate for FBj:=∑k≥sr∫Rrjkψk(⋅−y)(ψ~k∗f)(y) dy. We use the following explicit localization estimate. For any set S⊆Rn and integers sr≤q≤m, replacing Erk by Erk∩{y:dist⁡(y,S)<ak} in Fr,q,m still gives an L∞ norm at most C2r. If S=∅, the sum is zero. If S≠∅ and dist⁡(x,S)=0, all kernel-support balls B(x,2−k) lie in these neighborhoods and the sum is the full bounded partial sum. If δ=dist⁡(x,S)>0, choose ℓ with 2−ℓ<δ≤2−ℓ+1. Then B(x,2−k) lies in the neighborhood for k≤ℓ−1 and is disjoint from it for k≥ℓ+2, 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 Jj be all later indices m>j for which Wm∩Wj≠∅. By [F5], #Jj≤K(n) and ρm≥ρj/7. Put ρ∗=min⁡({ρj/7}∪{ρm:m∈Jj})=ρj/7, let k1 be the least integer with ak1<ρ∗/4, and set S=⋃m∈JjBm. Then ρj/7≤ρ∗≤ρj, while ρj/2≤2−k0<ρj and ρ∗/16≤2−k1<ρ∗/8. Hence k0<k1 and 2k1−k0=2−k0/2−k1<112<27, so k1−k0≤7. For every k≥k1 each neighborhood Nm,k with m∈Jj∪{j} lies in Wm. To exclude other later indices without presupposing their radii, a meeting point gives ∣ξm−ξj∣<(ρm+ρj)/2+2ak. Here ak<ρ∗/4≤ρj/28, so this distance is less than 3(ρm+ρj)/4. Thus Wm∩Wj≠∅ and m∈Jj. All indices in Jj are eligible at these scales because 2−k<ρ∗/8≤ρm/8. Consequently the high-scale part is exactly the difference of the two localized sums associated with S∪Bj and S, each bounded by the localization estimate. There are at most seven lower scales k0≤k<k1, each bounded by (1). Thus ∥FBj∥∞≤C♯2r uniformly in r,j. Absolute convergence against Schwartz tests follows by summing [F7] over the disjoint sets Rrjk; for k<0 the bound is Cχ2kn/p∥f∥Hp as above. Each summand is compactly supported in 7Bj and has zero moments through order K by the moments of ψ. Choose the representative of FBj to vanish outside its compact support. That support lies in the closed ball of radius ρj/2+3⋅2−k0(j)<7ρj/2, so it is contained in the open ball 7Bj. For fixed j,k, Rrjk⊂Nj,k is bounded, has finite measure, and ψ~k∗f 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 7Bj and has the same moments, by testing against a smooth compactly supported test equal to each monomial on a neighborhood of the closed ball 7Bj‾ (construct the cutoff from The standard smooth step function). Finally, the sets Rrjk partition the Erk, and the absolute pairing bounds summed over all r,j,k show f=∑r,jFBjin S′. Indeed, for k≥0 the full sum of absolute pairings is bounded by Cχ2−k(K+1−n/p)∥f∥Hp using [F7]; for k<0 it is bounded by Cχ2kn/p∥f∥Hp. Sum in k and apply the Calderon reproducing identity [F3].

4.1step 3.1F8algebra

Atom normalization. Choose an axis-parallel cube Qj centered at ξj with side length 7ρj; it contains 7Bj, and ∣Qj∣/∣7Bj∣=2n/ωn. Enlarge C♯ if needed so that C♯≥C0(2n/ωn)1/p, where C0 is the constant in the preceding L∞ estimate. Put arj=C♯−1∣7Bj∣−1/p2−rFBj,λrj=C♯∣7Bj∣1/p2r. Then supp⁡arj⊆7Bj, ∥arj∥∞≤∣7Bj∣−1/p, and the choice of C♯ gives ∥arj∥∞≤∣Qj∣−1/p. Its moments vanish through order K, hence through s, because s=⌊n(1/p−1)⌋<n/p≤K. Thus arj is a (p,∞,s)-atom in the cube-supported convention of Hp atoms with a prescribed moment order, and f=∑r,jλrjarj in S′.

5.1step 4.1F1F2F5F8algebra

Coefficient bound. Since ∣7Bj∣=7n∣Bj∣ and Bj⊂Wj with multiplicity at most K(n), ∑r,jλrjp=C♯p7n∑r2pr∑j∣Bj∣≤C♯p7nK(n)∑r2pr∣Ωr∣≤C∥f∥Hpp by the layer-cake estimate and [F1]. This proves the coefficient bound.

6.1step 1.1step 3.1step 4.1step 5.1discharge-construct∎

Conclusion. The zero case was handled at the start. For f≠0, steps 3.1 and 4.1 produce the atoms and coefficients, step 5.1 gives the ℓp estimate, and the absolutely convergent distributional sum in step 3.1 equals f. Hence all four claims hold.

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