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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 , with , from Dirichlet spectral Sobolev scale and duality. For and , For and every there is , depending only on , such that every satisfies This includes .
Let . If are strongly measurable -valued functions, uniformly bounded in and converging to zero in , then in for every . In particular, the same conclusion holds when the are uniformly bounded in and converge to zero in space-time .
Facts & Assumptions
The Dirichlet scale has and, for , with norm ; its operator is self-adjoint and Dirichlet spectral Sobolev scale and duality Positive spectral Hilbert scale: duality and interpolation Dirichlet Laplacian and positive shift.
Under Choice, use the spectral-calculus convention Unbounded Borel functional calculus: domains, products, spectral mapping The Axiom of Choice. For put , a finite-valued Borel function on ; the power convention is Dirichlet Laplacian and positive shift. The unbounded PVM integral definition gives Integral of a measurable function against a projection-valued measure. Its norm theorem gives on this domain The unbounded PVM integral is densely defined, closed and normal. Here is a finite positive measure with total mass Scalar and complex measures from a pvm. Choice supplies the countable-choice hypotheses of these PVM inputs.
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.
For conjugate and , Young's inequality gives Young's inequality for conjugate real exponents.
The time-space notation uses strongly measurable Bochner-valued maps and the integral of their squared norms; means the essential supremum Continuous and mixed time-space function spaces.
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
Dominated convergence applies to measurable scalar functions on any measure space with a single integrable majorant. Dominated convergence
Assuming countable choice, complex 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
Fatou's lemma gives for nonnegative measurable functions. Fatou's lemma
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 and, for , with norm ; its operator is self-adjoint and 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 Unbounded Borel functional calculus: domains, products, spectral mapping The Axiom of Choice. For put , a finite-valued Borel function on ; the power convention is Dirichlet Laplacian and positive shift. The unbounded PVM integral definition gives Integral of a measurable function against a projection-valued measure. Its norm theorem gives on this domain The unbounded PVM integral is densely defined, closed and normal. Here is a finite positive measure with total mass 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 and , Young's inequality gives 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; 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 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 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 .
Goal: Prove the interpolation and absorption estimates and the time-dependent convergence.
Put and . For , F2 makes both and integrable against the finite positive measure , with and . On all of one has . Hölder with exponents and applied to and gives . The domain formula puts in , and the norm identity and square roots prove the first estimate. For , the pointwise inequality on all of also gives the continuous inclusion with norm at most one.
Let be strongly measurable. After setting it and its defining simple approximants to zero on their common exceptional time-null set, take in spatial almost everywhere. Put . The set in this expression is measurable, and is still finite-valued and measurable. If , then ; otherwise the cutoff eventually equals one. Thus in almost everywhere and . F7 gives in Bochner . By F10 choose measurable scalar representatives for all spatial values of all the , a countable family of finite sets of values. On the measurable time partition defining , use those representatives to define a jointly measurable function . F6 gives and . Hence is Cauchy in complex product-space . F8 gives a measurable norm limit and a subsequence product-almost everywhere. The chosen representatives may be used: their countably many disagreements with representatives from F8 have null union.
For put , and . Step 1.1 gives . Apply Young with , to and . This yields . For , the desired inequality holds with . Thus the absorption estimate holds, including , .
The continuous inclusions in step 1.1 carry strong measurability into strong and measurability, by applying the bounded inclusion to the defining simple approximants. Applying step 1.1 almost everywhere and then Hölder in time gives . The right side tends to zero by the stated uniform bound and convergence. An essential uniform bound in gives the required bound because . This proves the Bochner convergence claims; the space-time formulation will follow from the identification proved next.
By F6, outside a single time-null set, belongs to spatial , all relevant sections are measurable, and for almost every . Enlarge this exceptional set by the one where in . Fix a remaining time and an integer . Apply F9 in space to . Since the corresponding classes are , this gives . Letting shows that the class of equals . A final application of F6 proves . Any two jointly measurable representatives of agree product-almost everywhere, by F6 applied to their disagreement set. Thus this product norm identity is independent of the representative.
In the final assertion, the finite interval and the uniform bound give the uniform Bochner bound. Step 1.1 and the simple-approximation argument in step 2.2 make every strongly measurable into spatial with finite Bochner norm. Steps 1.2 and 2.3 therefore supply its jointly measurable representative and identify its squared product-space norm with . Space-time convergence to zero is consequently exactly the Bochner 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.
Depends on
- Dirichlet spectral Sobolev scale and duality
- Positive spectral Hilbert scale: duality and interpolation
- Continuous and mixed time-space function spaces
- Unbounded Borel functional calculus: domains, products, spectral mapping
- Holder's inequality for integrals, including the endpoint cases
- Young's inequality for conjugate real exponents
- The Axiom of Choice
- Dirichlet Laplacian and positive shift
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
- Dominated convergence
- Complex Lp completeness and almost-everywhere subsequences
- Fatou's lemma
- Integral of a measurable function against a projection-valued measure
- The unbounded PVM integral is densely defined, closed and normal
- Scalar and complex measures from a pvm
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