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L2-normalised H1 atoms have uniformly bounded H1 norm

Statement

Assume Countable Choice. Fix an admissible kernel φ with ∫φ≠0 and an auxiliary integer order N~≥max⁡{N0(n,1,φ),n+1} for the grand-maximal characterisation. Let a be a (1,2)-atom supported in a cube Q: a vanishes off Q, ∫a=0 and (∣Q∣−1∫Q∣a∣2)1/2≤∣Q∣−1. Then ∥a∥H1=∥Mφ0a∥L1≤Cn,N~,φ, with the constant independent of Q and the atom.

Facts & Assumptions

Given: Countable Choice, the fixed admissible kernel φ and auxiliary integer order N~ from the statement; also let a be a (1,2)-atom supported in a cube Q with centre xQ and side ℓ(Q), and the functionals and spaces of The real Hardy space Hp defined by a radial maximal function and Grand maximal test class of order N and the grand maximal function.

[F1]

The test class is FN~={ψ∈S:PN~(ψ)≤1} with PN~(ψ)=sup⁡x(1+∣x∣)N~max⁡∣α∣≤N~+1∣∂αψ(x)∣, MN~f(x)=sup⁡ψ∈FN~sup⁡t>0sup⁡∣y−x∣≤t∣(f∗ψt)(y)∣ with ψt(u)=t−nψ(u/t); in particular ∣ψ∣≤1 and, from the componentwise derivative bounds in the seminorm, ∣∇ψ(u)∣≤n(1+∣u∣)−N~ for every ψ∈FN~ (Grand maximal test class of order N and the grand maximal function).

[F2]

Every L2 class has a representative defining a tempered distribution, and for the regular distribution of a locally integrable compactly supported a the convolution is (a∗ψt)(y)=∫a(z)ψt(y−z) dz (Polynomial growth functions define tempered distributions, Convolution of a tempered distribution with a schwartz function).

[F3]

The stated atom hypotheses give supp⁡a⊆Q, ∫a=0 and ∥a∥L2≤∣Q∣−1/2; hence ∥a∥L1≤∣Q∣1/2∥a∥L2≤1 by Cauchy-Schwarz on the finite-measure cube (Cauchy-Schwarz inequality for L2).

[F4]

Once MN~a∈L1 has been established, the maximal-function characterisation gives a∈H1 and ∥Mφ0a∥L1≤Cn,N~,φ∥MN~a∥L1 and MN~a is Borel measurable (Maximal-function characterisations of real Hardy spaces, Measurability and lower semicontinuity of the smooth maximal functions).

[F5]

The centered Hardy-Littlewood maximal operator satisfies ∥Mf∥L2≤Cn,2∥f∥L2 and Mf is Borel measurable for f∈Lloc1 (The centered maximal operator is bounded on Lp(Rn) for 1<p<∞, The centered Hardy-Littlewood maximal function is Borel measurable, The centered and uncentered Hardy-Littlewood maximal functions).

[F6]

A Euclidean ball of radius R is contained in the axis-parallel box of side 2R with the same centre; under Countable Choice that box has Lebesgue measure (2R)n, and Lebesgue measure is monotone (Axis-parallel rectangles in Rm and their volume, A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included, Measures are monotone).

[F7]

Under Countable Choice, λ(B(x,r))=cnrn for a finite positive constant cn depending only on dimension (Sphere and ball measures scale in Rn).

Proof

technique · direct
1.1F1F2F3F5F7algebra

Since a∈L2 is supported in the finite-measure cube Q, [F2] identifies its regular distribution with a tempered distribution; [F3] gives ∥a∥L1≤1. For every ψ∈FN~, ∣ψ(u)∣≤(1+∣u∣)−N~. Fix t>0 and ∣y−x∣≤t. Split the convolution integral into ∣y−z∣<t and the annuli 2k−1t≤∣y−z∣<2kt for k≥1. The ball inclusions B(y,t)⊆B(x,2t) and B(y,2kt)⊆B(x,2k+1t), together with [F5] and [F7], give ∣(a∗ψt)(y)∣≤t−n∫B(y,t)∣a(z)∣ dz+∑k≥12−(k−1)N~t−n∫B(y,2kt)∣a(z)∣ dz ≤cn2nM(∣a∣)(x)+cn∑k≥12−(k−1)N~2(k+1)nM(∣a∣)(x)≤Cn,N~M(∣a∣)(x), since N~≥n+1 makes the geometric series converge. Taking suprema gives MN~a≤Cn,N~M(∣a∣) pointwise.

2.1step 1.1F3F5F6

Near region. Put ρn:=4n and Q∗:={x:∣x−xQ∣≤ρnℓ(Q)}. By [F6], ∣Q∗∣≤(2ρnℓ(Q))n=Cn′∣Q∣, since the ball is contained in the corresponding axis-parallel cube. Cauchy-Schwarz together with the L2 bound of [F5] and step 1.1 gives ∫Q∗∣MN~a∣≤∣Q∗∣1/2∥MN~a∥2≤∣Q∗∣1/2Cn,N~∥M(∣a∣)∥2≤Cn,2′∣Q∗∣1/2∥a∥2≤Cn.

2.2step 1.1F1F3F2

Far region, pointwise. Assume r:=∣x−xQ∣≥ρnℓ(Q); then every z∈Q satisfies ∣z−xQ∣≤n ℓ(Q)≤r/4, so for ∣y−x∣≤t and w on the segment between y−z and y−xQ one has ∣w∣≥r−t−r/4. If t≤r/2, then ∣w∣≥r/4 and ∣ψt(y−z)−ψt(y−xQ)∣≤n ℓ(Q)sup⁡∣∇ψt∣ with ∣∇ψt(w)∣=t−n−1∣∇ψ(w/t)∣≤n t−n−1(t/∣w∣)N~≤CN~,nr−n−1 because N~≥n+1 and t≤r/2; if t>r/2, the same difference is at most n ℓ(Q)⋅n(r/2)−n−1≤Cnℓ(Q)r−n−1 by [F1]. Using ∫a=0 to write (a∗ψt)(y)=∫a(z)[ψt(y−z)−ψt(y−xQ)]dz and ∥a∥L1≤1 from [F3], both cases give ∣(a∗ψt)(y)∣≤CN~,nℓ(Q)r−n−1, and taking suprema over ψ∈FN~, t>0 and ∣y−x∣≤t yields MN~a(x)≤CN~,nℓ(Q)r−n−1.

3.1step 2.2algebra

Far region, integration. Covering {r≥ρnℓ(Q)} by the shells {2jρnℓ(Q)≤r<2j+1ρnℓ(Q)}, each contained in a cube of side 4⋅2jρnℓ(Q), and using step 2.2 gives ∫r≥ρnℓ(Q)MN~a≤CN~,nℓ(Q)∑j≥0(2jρnℓ(Q))−n−1(4⋅2jρnℓ(Q))n=CN~,n′.

4.1step 2.1step 3.1F4∎

Combining steps 2.1 and 3.1, ∥MN~a∥L1=∫Q∗∣MN~a∣+∫Rn∖Q∗∣MN~a∣≤Cn,N~<∞, so [F4] gives ∥a∥H1=∥Mφ0a∥L1≤Cn,N~,φ∥MN~a∥L1≤Cn,N~,φ, independent of Q and of the atom. Countable Choice is inherited from the maximal-function and measure suppliers [F4]-[F7].

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