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Spectral interpolation and lower-order absorption

PDF p. 9: Lemma 3.2 proof (d); PDF p. 10: spectral absorption inequality; PDF p. 12: H¹D–H²D absorption

Statement

Assume the Axiom of Choice and the exterior Dirichlet scale HDs(Ω), with A=I−ΔD, from Dirichlet spectral Sobolev scale and duality. For 0<ρ<τ and f∈HDτ(Ω), ∥f∥HDρ≤∥f∥L21−ρ/τ∥f∥HDτρ/τ. For 0≤θ<τ and every ε>0 there is Cε<∞, depending only on θ,τ,ε, such that every f∈HDτ(Ω) satisfies ∥f∥HDθ2≤ε∥f∥HDτ2+Cε∥f∥L22. This includes (θ,τ)=(1,2).

Let 0<T<∞. If fj are strongly measurable HDτ-valued functions, uniformly bounded in L2(0,T;HDτ) and converging to zero in L2(0,T;L2(Ω)), then fj→0 in L2(0,T;HDρ) for every 0<ρ<τ. In particular, the same conclusion holds when the fj are uniformly bounded in L∞(0,T;HDτ) and converge to zero in space-time L2.

Facts & Assumptions

[F1]

The Dirichlet scale has HD0=L2(Ω) and, for s≥0, HDs=D(As/2) with norm ∥As/2f∥2; its operator A is self-adjoint and A≥I Dirichlet spectral Sobolev scale and duality Positive spectral Hilbert scale: duality and interpolation Dirichlet Laplacian and positive shift.

[F2]

Under Choice, use the spectral-calculus convention h(A)=h(EA) Unbounded Borel functional calculus: domains, products, spectral mapping The Axiom of Choice. For s≥0 put hs(λ)=max⁡(1,λ)s/2, a finite-valued Borel function on R; the power convention is As/2=hs(EA) Dirichlet Laplacian and positive shift. The unbounded PVM integral definition gives D(As/2)={f∈L2(Ω):∫∣hs∣2 dμf<∞} Integral of a measurable function against a projection-valued measure. Its norm theorem gives ∥As/2f∥22=∫∣hs∣2 dμf on this domain The unbounded PVM integral is densely defined, closed and normal. Here μf(B)=⟨EA(B)f,f⟩ is a finite positive measure with total mass μf(R)=∥f∥22 Scalar and complex measures from a pvm. Choice supplies the countable-choice hypotheses of these PVM inputs.

[F3]

Hölder's integral inequality applies to real measurable functions on a measure space for finite conjugate exponents greater than one Holder's inequality for integrals, including the endpoint cases.

[F4]

For conjugate p,q>1 and u,v≥0, Young's inequality gives uv≤up/p+vq/q Young's inequality for conjugate real exponents.

[F5]

The time-space notation uses strongly measurable Bochner-valued maps and the integral of their squared norms; L∞ means the essential supremum Continuous and mixed time-space function spaces.

[F6]

Assuming countable choice, completed-product Tonelli applies to nonnegative measurable functions on two sigma-finite measure spaces, equates product and iterated integrals, and takes product-null sets to null sections almost everywhere. The time interval and the exterior with restricted Lebesgue measure are sigma-finite. Tonelli and Fubini for the completed product, with only almost-everywhere section measurability

[F7]

Dominated convergence applies to measurable scalar functions on any measure space with a single integrable majorant. Dominated convergence

[F8]

Assuming countable choice, complex L2 is complete on every measure space, and norm convergence has an almost-everywhere convergent subsequence of measurable representatives. Complex Lp completeness and almost-everywhere subsequences

[F9]

Fatou's lemma gives ∫lim inf⁡hk≤lim inf⁡∫hk for nonnegative measurable functions. Fatou's lemma

[F10]

The stated Axiom of Choice permits the countably many representative selections below and, by restriction to countable families, supplies the countable-choice hypotheses of F6 and F8. The Axiom of Choice

Proof

[F1] The Dirichlet scale has HD0=L2(Ω) and, for s≥0, HDs=D(As/2) with norm ∥As/2f∥2; its operator A is self-adjoint and A≥I Dirichlet spectral Sobolev scale and duality Positive spectral Hilbert scale: duality and interpolation Dirichlet Laplacian and positive shift.

[F2] Under Choice, use the spectral-calculus convention h(A)=h(EA) Unbounded Borel functional calculus: domains, products, spectral mapping The Axiom of Choice. For s≥0 put hs(λ)=max⁡(1,λ)s/2, a finite-valued Borel function on R; the power convention is As/2=hs(EA) Dirichlet Laplacian and positive shift. The unbounded PVM integral definition gives D(As/2)={f∈L2(Ω):∫∣hs∣2 dμf<∞} Integral of a measurable function against a projection-valued measure. Its norm theorem gives ∥As/2f∥22=∫∣hs∣2 dμf on this domain The unbounded PVM integral is densely defined, closed and normal. Here μf(B)=⟨EA(B)f,f⟩ is a finite positive measure with total mass μf(R)=∥f∥22 Scalar and complex measures from a pvm. Choice supplies the countable-choice hypotheses of these PVM inputs.

[F3] Hölder's integral inequality applies to real measurable functions on a measure space for finite conjugate exponents greater than one Holder's inequality for integrals, including the endpoint cases.

[F4] For conjugate p,q>1 and u,v≥0, Young's inequality gives uv≤up/p+vq/q Young's inequality for conjugate real exponents.

[F5] The time-space notation uses strongly measurable Bochner-valued maps and the integral of their squared norms; L∞ means the essential supremum Continuous and mixed time-space function spaces.

[F6] Assuming countable choice, completed-product Tonelli applies to nonnegative measurable functions on two sigma-finite measure spaces, equates product and iterated integrals, and takes product-null sets to null sections almost everywhere. The time interval and the exterior with restricted Lebesgue measure are sigma-finite. Tonelli and Fubini for the completed product, with only almost-everywhere section measurability

[F7] Dominated convergence applies to measurable scalar functions on any measure space with a single integrable majorant. Dominated convergence

[F8] Assuming countable choice, complex L2 is complete on every measure space, and norm convergence has an almost-everywhere convergent subsequence of measurable representatives. Complex Lp completeness and almost-everywhere subsequences

[F9] Fatou's lemma gives ∫lim inf⁡hk≤lim inf⁡∫hk for nonnegative measurable functions. Fatou's lemma

[F10] The stated Axiom of Choice permits the countably many representative selections below and, by restriction to countable families, supplies the countable-choice hypotheses of F6 and F8. The Axiom of Choice

Given: The scale and Choice in the statement, the indicated exponents and vectors, and, for the convergence claim, the stated sequence on (0,T).

Goal: Prove the interpolation and absorption estimates and the time-dependent convergence.

1.1F1F2F3given

Put a=ρ/τ∈(0,1) and ws(λ)=∣hs(λ)∣2=max⁡(1,λ)s. For f∈HDτ, F2 makes both 1 and wτ integrable against the finite positive measure μf, with ∫1 dμf=∥f∥22 and ∫wτ dμf=∥f∥HDτ2. On all of R one has wρ=wτa. Hölder with exponents 1/a and 1/(1−a) applied to wτa and 1 gives ∫wρ dμf≤(∫wτ dμf)a(∫1 dμf)1−a. The domain formula puts f in HDρ, and the norm identity and square roots prove the first estimate. For 0≤s≤τ, the pointwise inequality ws≤wτ on all of R also gives the continuous inclusion HDτ↪HDs with norm at most one.

1.2F5F6F7F8F10construct

Let g∈L2(0,T;L2(Ω)) be strongly measurable. After setting it and its defining simple approximants sm to zero on their common exceptional time-null set, take sm(t)→g(t) in spatial L2 almost everywhere. Put hm(t)=sm(t)1{∥sm(t)∥2≤2∥g(t)∥2}. The set in this expression is measurable, and hm is still finite-valued and measurable. If g(t)=0, then hm(t)=0; otherwise the cutoff eventually equals one. Thus hm(t)→g(t) in L2 almost everywhere and ∥hm(t)−g(t)∥22≤9∥g(t)∥22. F7 gives hm→g in Bochner L2. By F10 choose measurable scalar representatives for all spatial L2 values of all the hm, a countable family of finite sets of values. On the measurable time partition defining hm, use those representatives to define a jointly measurable function Um(t,x). F6 gives ∥Um∥L2((0,T)×Ω)2=∫0T∥hm(t)∥22dt and ∥Um−Ul∥L2((0,T)×Ω)2=∫0T∥hm(t)−hl(t)∥22dt. Hence Um is Cauchy in complex product-space L2. F8 gives a measurable norm limit U and a subsequence Umk→U product-almost everywhere. The chosen representatives may be used: their countably many disagreements with representatives from F8 have null union.

2.1F1F4step 1.1given

For 0<θ<τ put a=θ/τ, X=∥f∥HDτ2 and Y=∥f∥22. Step 1.1 gives ∥f∥HDθ2≤XaY1−a. Apply Young with p=1/a, q=1/(1−a) to u=(ε/a)aXa and v=(a/ε)aY1−a. This yields XaY1−a≤εX+(1−a)(a/ε)a/(1−a)Y. For θ=0, the desired inequality holds with Cε=1. Thus the absorption estimate holds, including θ=1, τ=2.

2.2F3F5step 1.1given

The continuous inclusions in step 1.1 carry strong HDτ measurability into strong HDρ and L2 measurability, by applying the bounded inclusion to the defining simple approximants. Applying step 1.1 almost everywhere and then Hölder in time gives ∫0T∥fj(t)∥HDρ2dt≤(∫0T∥fj(t)∥HDτ2dt)a(∫0T∥fj(t)∥22dt)1−a. The right side tends to zero by the stated uniform bound and convergence. An essential uniform bound in HDτ gives the required L2 bound because T<∞. This proves the Bochner convergence claims; the space-time formulation will follow from the identification proved next.

2.3F5F6F9step 1.2

By F6, outside a single time-null set, U(t,⋅) belongs to spatial L2, all relevant sections are measurable, and Umk(t,x)→U(t,x) for almost every x. Enlarge this exceptional set by the one where hm(t)↛g(t) in L2. Fix a remaining time t and an integer r. Apply F9 in space to ∣Umk(t,x)−Ur(t,x)∣2. Since the corresponding L2 classes are hmk(t)−hr(t), this gives ∥U(t,⋅)−Ur(t,⋅)∥22≤lim inf⁡k∥hmk(t)−hr(t)∥22=∥g(t)−hr(t)∥22. Letting r→∞ shows that the class of U(t,⋅) equals g(t). A final application of F6 proves ∥U∥L2((0,T)×Ω)2=∫0T∥g(t)∥22dt. Any two jointly measurable representatives of g agree product-almost everywhere, by F6 applied to their disagreement set. Thus this product norm identity is independent of the representative.

3.1F5step 1.1step 2.2step 1.2step 2.3given∎

In the final assertion, the finite interval and the uniform L∞(0,T;HDτ) bound give the uniform Bochner L2(0,T;HDτ) bound. Step 1.1 and the simple-approximation argument in step 2.2 make every fj strongly measurable into spatial L2 with finite Bochner L2 norm. Steps 1.2 and 2.3 therefore supply its jointly measurable representative and identify its squared product-space norm with ∫0T∥fj(t)∥22dt. Space-time L2 convergence to zero is consequently exactly the Bochner L2(0,T;L2(Ω)) convergence required in step 2.2. This proves the final convergence claim without an additional measurability hypothesis.

Source notes

The article is cited for attribution to its interpolation and absorption uses on PDF pages 9–10 and 12. The proof above uses the independent suppliers listed in Facts & Assumptions; it does not use the article's assertion as a premise.

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