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Whole-space interpolation of one extension–restriction operator

Statement

Assume AC and use complex scalars throughout. Let n≥1 and let D⊆Rn be open, and suppose one linear E:L2(D)→L2(Rn) is bounded, restricts to a bounded W2,2(D)→W2,2(Rn) map, and satisfies rDE=I. Define T=ErD on all of L2(Rn). Then the same T is bounded on the Fourier spaces Hs(Rn) for every 0≤s≤2. For the restriction quotient Hs(D)=rDHs(Rn),∥u∥Hs(D)=inf⁡rDF=u∥F∥Hs(Rn), the existing L2 map E restricts to a bounded extension Hs(D)→Hs(Rn) and rDE=I there. These quotient norms are definite and complete, and the extension value is independent of the choice of F. Whole-space Hs here has the exact norm ∥⟨ξ⟩sF^∥2, with ⟨ξ⟩=(1+∣ξ∣2)1/2.

Facts & Assumptions

Given: The hypotheses and conventions of the Statement.

[F1]

Assume the Axiom of Choice The Axiom of Choice; in particular its countable and dependent instances are available.

[F2]

Real-order Hˢ as weighted Fourier distributions gives the weighted Fourier distribution convention and exact norm; Integer-order W^k,2 and Hᵏ agree with equivalent norms gives only norm equivalence with weak W2,2 at the integer endpoint.

[F3]

Multiplication operators: domain, spectral measure and spectrum constructs the self-adjoint real multiplication operator with its exact domain and Borel calculus on L2; Plancherel theorem transports it unitarily to physical space.

[F4]

Positive spectral Hilbert scale: duality and interpolation gives isometric interpolation of positive self-adjoint Hilbert scales and the common-operator geometric-mean bound, with the stated decaying strip convention.

[F5]

A quotient of a Banach space by a closed subspace is Banach makes the quotient by a closed kernel Banach; AC supplies its countable-choice requirement.

[F6]

For an open set U⊆Rn, W2,2(U) means W2,2(U;C) from Integer-order Sobolev spaces and their norms: almost-everywhere classes with complex weak derivatives through order two in L2, equipped with the square root of the sum of their squared L2 norms. Under AC, restriction from W2,2(Rn;C) to W2,2(D;C) is a contraction by Bounded restriction and cutoff localisation in Sobolev spaces, including the empty-set case.

[F7]

Transport of spectral projection-valued measures along isometric bijections has domain mathematics and, under AC and its countable instance, transports a self-adjoint operator and its spectral PVM along a bijective complex-linear isometry. Unbounded Borel functional calculus: domains, products, spectral mapping gives the squared-integrability domains, exact norm identities and bounded-truncation limits for Borel multipliers. Together these apply to the inverse Plancherel unitary and the real multiplier 1+∣ξ∣2; no physical premise is used.

Proof

Goal: Establish every assertion of the Statement under the stated hypotheses.

Given: The hypotheses and data in the Statement.

1.1F1F2F3F4F7given

Use the self-adjoint multiplication operator M1+∣ξ∣2 and the Plancherel unitary to define B=F2−1M1+∣ξ∣2F2 with domain F2−1D(M1+∣ξ∣2). The transport lemma in [F7], with U=F2−1, makes B self-adjoint with spectral PVM PB(C)=F2−1PM(C)F2. Its scalar spectral measure at F is the multiplier's scalar spectral measure at F2F. The multiplication model and the calculus domain and norm identities therefore give D(Bs/2)={F∈L2:⟨ξ⟩sF2F∈L2} and ∥Bs/2F∥2=∥⟨ξ⟩sF2F∥2 for s≥0. The multiplier is at least one, so B≥I; the calculus is transported first for simple bounded multipliers and then by the bounded-truncation limits in [F7]. By [F2] and Plancherel these domains are exactly the named Hs with their Fourier norms. The whole-space L2 Hilbert space is nonzero for n≥1, so [F4] applies and gives [L2(Rn),H2(Rn)]θ=H2θ(Rn) isometrically in these norms.

2.1F1F2F4F6step 1.1given

The operator T is defined first on L2 as ErD. Its L2 bound follows from restriction and the assumed E bound. If F∈H2(Rn), [F2] identifies it with a complex weak W2,2(Rn) class with equivalent norm. Apply [F6] with Ω=Rn, U=D, k=2 and p=2: rDF∈W2,2(D) and ∥rDF∥W2,2(D)≤∥F∥W2,2(Rn)≤C∥F∥H2. The assumed endpoint bound for the same E and [F2] now give TF∈W2,2(Rn)=H2(Rn) with ∥TF∥H2≤C∥F∥H2. Thus the two endpoint restrictions are the same complex-linear map. Apply common-operator spectral interpolation with endpoints 0,2 to obtain ∥TF∥Hs≤M01−s/2M2s/2∥F∥Hs for 0<s<2, retaining the already established bounds at s=0,2. No domain interpolation assertion is used in obtaining this whole-space bound.

2.2F2F5step 1.1

For s≥0 the weighted norm controls L2, so rD:Hs(Rn)→L2(D) is continuous. Its kernel is closed, and its quotient is Banach with the displayed infimum norm by the quotient theorem. All restriction classes are L2 classes, so this also defines their restrictions as distributions and makes the norm definite: ∥u∥L2(D)≤∥u∥Hs(D).

3.1F2F4step 2.1step 2.2algebra∎

If u=rDF for F∈Hs, then Eu=ErDF=TF as an L2 class, and the whole-space bound makes it an Hs class. If F is replaced by another extension, their restrictions agree in L2(D), so the value of the already defined E is unchanged. Hence ∥Eu∥Hs≤Cs∥F∥Hs for every extension F. Infimizing gives ∥Eu∥Hs≤Cs∥u∥Hs(D), while rDEu=u follows from its L2 identity. This proves the quotient estimate without choosing a fractional extension operator or assuming a fractional-domain identification.

Source notes

The whole-space norm uses the repository bracket weight, not an unannounced replacement by the Laplacian weight with 4π². Positive Fourier order gives actual L² representatives, which is what makes the common extension independent of an ambient extension representative. No exterior fractional theorem is imported.

Depends on

Used by · 3

Dependency tree · 2 levels

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