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Littlewood-Paley characterisation of the Hilbert-Sobolev spaces

Statement

Assume Countable Choice (The Axiom of Countable Choice (ACω)). Let n≥1 and s∈R, and let Hs(Rn) be the real-order Bessel-potential space with the exact norm ∥U∥Hs=∥⟨ξ⟩sF(EsU)∥2 of Real-order H^s as weighted Fourier distributions, where ⟨ξ⟩=(1+∣ξ∣2)1/2. Fix the partition of The inhomogeneous dyadic frequency partition and its Littlewood-Paley operators and let ΔjU be the tempered distributions obtained by the multipliers φj. Then for every U∈S′(Rn), U lies in the image of the canonical embedding Es (and is identified with its preimage in Hs) if and only if ∑j≥022js∥ΔjU∥L22<∞, where ∥ΔjU∥L2 denotes the L2 norm of the unique L2 function representing the tempered distribution ΔjU when such a function exists and is set equal to +∞ otherwise (the convention is needed only for the converse direction; for U in the image of Es every ΔjU is a regular L2 distribution, as the proof records), and in that case cn,s,ψ∥U∥Hs2≤∑j≥022js∥ΔjU∥L22≤Cn,s,ψ∥U∥Hs2 with constants depending only on n,s and the partition. The low-frequency block carries the weight 20=1, and the series converges absolutely.

Facts & Assumptions

Given: n≥1, s∈R, the completion Hs(Rn) of S with norm qs, its canonical embedding Es:Hs→S′ and the isometry Js of The Bessel completion embeds canonically in tempered distributions; the fixed partition (φj) and operators Δj of The inhomogeneous dyadic frequency partition and its Littlewood-Paley operators; a tempered distribution U∈S′(Rn).

[F1]

Hs is the normed completion of S under qs(u)=∥⟨ξ⟩su^∥2, Es is the canonical embedding and Js([uj])=lim⁡j⟨ξ⟩sFuj is a surjective linear isometry Hs→L2 (Real-order Bessel-potential completion H^s, The Bessel completion embeds canonically in tempered distributions); the multiplier ⟨D⟩t and the bracket powers are those of Japanese-bracket and Laplacian Bessel-potential operators and Real powers of the Japanese bracket act on Schwartz space.

[F2]

Characterisation: Es is a bijection from Hs onto the set of U∈S′ for which ⟨ξ⟩sFU=ug for some g∈L2, the class g is unique, and then ∥U∥Hs=∥g∥2 (Real-order H^s as weighted Fourier distributions).

[F3]

For U∈S′, ΔjU=F−1(φjFU); each φj∈Cc∞, 0≤φj≤1, supp⁡φj⊂{2j−1≤∣ξ∣≤2j+1} for j≥1 and supp⁡φ0⊂{∣ξ∣≤2}, the sum ∑jφj2 lies in [1/3,1] pointwise with at most three nonzero terms, and ∑jφj=1 (The inhomogeneous dyadic frequency partition and its Littlewood-Paley operators, Existence of a smooth inhomogeneous dyadic frequency partition).

[F4]

Plancherel: F2 and F2−1 are isometries of L2, so ∥g∥2=∥F2g∥2; if a tempered distribution is the regular distribution uH of an L2 function H, its representing L2 class is unique and ∥H∥2 is the corresponding norm (Plancherel theorem, Exact L2 Fourier multiplier norm).

[F5]

The support bounds [F3] give 2j−1≤⟨ξ⟩≤5 2j for j≥1 and 1≤⟨ξ⟩≤5 for j=0. Thus the bracket and the dyadic scale are comparable: ⟨ξ⟩≍n2j for j≥1, and ⟨ξ⟩≍n1 together with 20=1 for j=0; hence cs≤22js⟨ξ⟩−2s≤Cs on each supp⁡φj with constants depending only on n and s (this also covers negative s, since the comparison is two-sided) (Japanese-bracket and Laplacian Bessel-potential operators).

[F6]

Holder's inequality and Cauchy-Schwarz for integrals and finite sums (Complex Holder, Minkowski, and the quotient norm).

[F7]

Tonelli's theorem permits interchanging the nonnegative sums and integrals used below (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F8]

Fourier transformation of a regular L2 distribution agrees with Plancherel (Fourier transform agrees with l one and plancherel transforms); locally integrable densities are determined almost everywhere by their distribution pairings (Locally integrable functions embed in distributions). Cc∞ is dense in S (Smooth compact supports are dense in Schwartz space), and L2 is complete under Countable Choice (Complex Lp completeness and almost-everywhere subsequences).

Proof

technique · direct
1.1F1F2F3F4F8algebra

Forward direction: identification of the pieces. Let U=Es(V) with V∈Hs and let g=Js(V)∈L2, so that ∥U∥Hs=∥g∥2 and ⟨ξ⟩sFU=ug by [F2]. Put h:=⟨ξ⟩−sg; since ⟨ξ⟩−s is smooth and locally bounded, h∈Lloc2(Rn), and uh=⟨ξ⟩−sug=FU by the invertibility of the bracket multiplier [F1]. Then ΔjU=F−1(φjFU)=F−1(uφjh)=u(φjh)∨ by [F3], and φjh∈L2 because h is locally square integrable and φj is compactly supported and bounded; Plancherel [F4] gives ∥ΔjU∥22=∥φjh∥22=∫Rnφj(ξ)2∣h(ξ)∣2 dξ.

1.2F3F4F5F6F8algebra

Converse direction: reconstruction. Assume ∑j22js∥ΔjU∥22<∞; then for every j the distribution ΔjU is the regular distribution uHj of an L2 function Hj (the case Hj=0 included), and we may take Hj=ΔjU as an L2 class. Put hj:=F2Hj and gj:=⟨ξ⟩shj. Since F(ΔjU)=φjFU and FuHj=uF2Hj, the distribution uhj=φjFU is supported in supp⁡φj, so hj=0 almost everywhere off that support; by [F5] this gives ∥gj∥22=∫⟨ξ⟩2s∣hj∣2≍n,s22js∥Hj∥22=22js∥ΔjU∥22, so ∑j∥gj∥22<∞. The supports of the gj lie in the supports of the φj, at most three of which meet at any point by [F3]; hence ∣∑j∈Fgj∣2≤3∑j∈F∣gj∣2 pointwise for every finite F. Therefore the partial sums are Cauchy in L2 (their tail squared norms are at most three times the tails of ∑j∥gj∥22) and converge by [F8] to some g∈L2, with ∥g∥22≤3∑j∥gj∥22≍n,s∑j22js∥ΔjU∥22. No lower norm estimate is used until the reconstruction identifies gj=φjg.

2.1F3F5F7step 1.1algebra

Forward direction: the weighted sum. Multiplying the identity of step 1.1 by 22js and summing, the pointwise comparison 22js⟨ξ⟩−2s∈[cs,Cs] on supp⁡φj from [F5] gives ∑j≥022js∥ΔjU∥22=∑j∫22jsφj2∣h∣2≍n,s∫(∑jφj2)∣g∣2, where [F7] interchanges the nonnegative sum and integral and the last comparison uses ∣h∣2=⟨ξ⟩−2s∣g∣2. Since ∑jφj2∈[1/3,1] by [F3], this is comparable to ∫∣g∣2=∥U∥Hs2; in particular the series is finite and the right-hand inequality with Cn,s,ψ holds, while the left-hand inequality follows from the same comparison with cs.

2.2F2F3F6F7F8step 1.2algebra

Converse direction: U lies in the range of Es. With g as in step 1.2, test against any χ∈Cc∞. Only finitely many φj meet its compact support, and ∑jφj=1 there by [F3], so ⟨⟨ξ⟩sFU,χ⟩=∑j∫gjχ=∫gχ, the last equality following from the L2 convergence in step 1.2 and Cauchy-Schwarz [F6]. Both sides are tempered distributions, and density of Cc∞ in S [F8] extends this identity to every Schwartz test, giving ⟨ξ⟩sFU=ug. Multiplication by φj then shows gj=φjg as L2 functions. Tonelli [F7] and [F3] give 13∥g∥22≤∑j∥gj∥22=∫(∑jφj(ξ)2)∣g(ξ)∣2 dξ≤∥g∥22. Thus U lies in the range of Es by [F2], and this frame comparison, the piecewise comparison in step 1.2, and the exact norm identity ∥U∥Hs=∥g∥2 give cn,s,ψ∑j22js∥ΔjU∥22≤∥U∥Hs2≤Cn,s,ψ∑j22js∥ΔjU∥22.

3.1step 2.1step 2.2∎

Conclusion. Steps 2.1 and 2.2 are the two directions of the asserted equivalence and the two-sided norm comparison (the constants of step 2.1 for the forward direction and those of step 2.2 for the converse are both of the form cn,s,ψ,Cn,s,ψ); the weight 20=1 on the low-frequency block is part of the definition of the series, and the finiteness of the series in the forward direction is contained in step 2.1.

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