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Continuous and mixed time-space function spaces
Definition
Assume countable choice. Let and let be a real or complex Banach space. When , the interval means . For finite , write for the functions continuous in the norm metric, with .
For , is the set of almost-everywhere equivalence classes of strongly measurable maps for which is finite. Strong measurability means almost-everywhere norm convergence of measurable finite-range -valued simple functions. For the norm is ; for it is the essential supremum of . Time measure is restricted Lebesgue measure on , including on when . When , integration of such a map over time means its Bochner integral.
Let be Lebesgue measurable, with restricted Lebesgue measure, and let . The spatial space is the usual quotient of measurable complex functions with finite norm by equality almost everywhere. For a jointly measurable complex function on the completed product , set for almost every for which the section is measurable, allowing , and put on an exceptional null set. Define as the product-almost-everywhere classes of such functions for which , with that quantity as norm. At either infinite exponent the corresponding norm is an essential supremum. This mixed notation alone does not require to be strongly measurable as an -valued map. The Bochner space is used only when that additional requirement holds.
Definition references
Strongly measurable Banach-valued function
Bochner integrability criterion
Complex Lp classes and Euclidean test-function conventions
Complex Holder, Minkowski, and the quotient norm
Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
The Axiom of Countable Choice (AC_ω)
Complex Lp completeness and almost-everywhere subsequences
Heine-Borel by bisection: every closed bounded interval [a,b] is compact
A continuous real function on a compact subset of ℝ is bounded
Lebesgue measurable sets, the family L(ℝⁿ), and the restricted set function λₙ
Lebesgue measure is sigma-finite, and every metrically bounded subset of ℝⁿ has finite outer measure
Facts & Assumptions
A Banach space is a complete normed space over the stated scalar field; strong measurability is almost-everywhere norm approximation by measurable finite-range simple functions. Banach space Strongly measurable Banach-valued function
A strongly measurable map is Bochner integrable exactly when its norm is integrable, and its integral is independent of the approximating sequence. Bochner-integrable function Bochner integrability criterion
Scalar complex is the almost-everywhere quotient, and its displayed functional is a norm, including at . Real scalar Minkowski holds for every exponent in . Complex Lp classes and Euclidean test-function conventions Complex Holder, Minkowski, and the quotient norm Minkowski's inequality for integrals, including p = ∞
For sigma-finite factors, completed-product Tonelli gives almost-everywhere measurable sections and measurable section integrals, and takes product-null sets to null sections almost everywhere. It assumes countable choice. Tonelli and Fubini for the completed product, with only almost-everywhere section measurability The Axiom of Countable Choice (AC_ω)
Under countable choice, complex is complete on every measure space for ; together with its quotient norm, it is therefore a complex Banach space. Complex Lp completeness and almost-everywhere subsequences Complex Holder, Minkowski, and the quotient norm Banach space The Axiom of Countable Choice (AC_ω)
Every closed bounded real interval with is compact. A continuous real-valued function on a compact subset of its real domain is bounded there. Heine-Borel by bisection: every closed bounded interval [a,b] is compact A continuous real function on a compact subset of ℝ is bounded
Under countable choice, Lebesgue measure is a complete measure on the Lebesgue sigma-algebra of . For finite , the interval is Lebesgue measurable with . The half-line is also Lebesgue measurable. Lebesgue measurable sets, the family L(ℝⁿ), and the restricted set function λₙ Assuming countable choice, L(ℝⁿ) is a sigma-algebra containing every elementary set and λₙ is a complete measure extending elementary volume A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included The Axiom of Countable Choice (AC_ω)
Under countable choice, the measurable cubes , , cover and have finite Lebesgue measure. Every bounded Lebesgue measurable subset of has finite measure. Lebesgue measure is sigma-finite, and every metrically bounded subset of ℝⁿ has finite outer measure The Axiom of Countable Choice (AC_ω)
For two sigma-finite measure spaces under countable choice, the completed product is the completion of their product measure. The completed product measure The Axiom of Countable Choice (AC_ω)
The rationals are countably infinite; their canonical image in is countable and dense. ℚ is countably infinite Both ℚ and ℝ ∖ ℚ are dense in ℝ, and every nonempty open subset of ℝ is uncountable
A countable union of measurable null sets is measurable and null by countable subadditivity. Finite and countable subadditivity of measures
A finite-valued complex function is measurable exactly when its real and imaginary parts are measurable. Real measurable functions have measurable positive and negative parts, and differences of finite real measurable functions are measurable. Complex Lp classes and Euclidean test-function conventions Arithmetic and lattice operations preserve measurability whenever they are defined
Justification
Given: The measures, spaces, exponents and maps in the definition.
Goal: The displayed quantities are finite norms on the stated classes and the mixed norm is independent of representatives.
1.1 For a continuous path , the norm triangle inequality gives ; interchanging yields . Thus is continuous. For finite , F6 makes compact and this real function bounded there; the norm axioms and pointwise operations give the finite supremum norm. For strongly measurable maps, norms are measurable as limits of norms of simple approximants. Sums and scalar multiples are strongly measurable by adding and scaling approximants, and the pointwise norm inequality followed by scalar Minkowski gives the triangle inequality. Homogeneity is pointwise, and zero norm means the map is zero almost everywhere. For , integrability and independence of the Bochner integral follow from F2. Applied to restricted Lebesgue measure on , F5 shows that is Banach for every allowed , including , so it is an admissible target for the Bochner-space definition when the required strong measurability holds. [given, F1, F2, F3, F5, F6]
1.2 For a Lebesgue measurable set , the Lebesgue measurable subsets of form a sigma-algebra on : relative complements are differences of Lebesgue measurable sets and countable unions remain Lebesgue measurable. Assign each such subset the value . The empty-set and countable-additivity axioms follow directly from those of in F7. If such an is null, every subset of is Lebesgue measurable by F7 and remains inside , so this measure on is complete. This is the restricted Lebesgue measure used in the definition. For and , the sets , , are bounded Lebesgue measurable subsets, so F8 makes their measures finite; their union is . For and , F7 gives measurability for both finite and . The sets , , are bounded Lebesgue measurable sets of finite measure by F8 and cover , so the time factor is sigma-finite even when . Thus both restricted factors are complete and sigma-finite. F9 therefore supplies their completed product, and F4 applies with the existing countable-choice assumption. [given, F4, F7, F8, F9]
2.1 Since is finite-valued and complex measurable, F12 makes , , and nonnegative jointly measurable functions. Apply the nonnegative branch of F4 separately to these four functions and let be the union of their measurable null exceptional time sets. By F11, is measurable and null. Outside , all four sections are measurable for the completed spatial factor, which is the restricted Lebesgue factor itself by step 1.2. Their values are finite, so their differences reconstruct measurable real and imaginary sections by F12; hence is complex measurable there. For finite , apply F4 to , enlarge its measurable null exceptional set by , and set to zero there; taking the th root of the resulting measurable section integral makes measurable. For , identify rational thresholds with their canonical real images, as in F10. For each rational , apply F4 to to obtain a measurable section-integral function and a measurable null exceptional set , with outside . F10 and the assumed countable choice allow these exceptions to be chosen for all such . By F11, is measurable and null. Set every and to zero on ; each remains measurable. Outside , is the section essential supremum. [given, F4, F10, F11, F12, step 1.2]
3.1 For each real , one has . Indeed, outside , if , density in F10 gives a rational with , also when ; the section measure must be positive, since otherwise would be an essential bound. Conversely, means that no number below is an essential bound, so by the infimum convention in F3. Both sides exclude . The union is countable by F10 and consists of measurable sets by step 2.1. Negative superlevels are the whole time interval because . Hence is measurable. If two representatives agree product-almost everywhere, F4 applied to their disagreement set makes their sections equal almost everywhere for almost every time, so F3 gives the same almost everywhere. [given, F3, F4, F10, step 1.2, step 2.1]
4.1 F3 gives the sectionwise triangle inequality, homogeneity and definiteness. Applying the scalar norm to the sectionwise bounds gives the mixed triangle inequality and homogeneity. If the mixed norm is zero, almost everywhere, so the sections vanish almost everywhere there; F4 then makes product-almost everywhere. The converse is immediate. Hence the mixed norm is well defined and definite on product-almost-everywhere classes. These arguments do not assert completeness or strong measurability into . [given, F3, F4, step 1.2, step 2.1, step 3.1] ∎
Depends on
- Banach space
- Strongly measurable Banach-valued function
- Bochner-integrable function
- Bochner integrability criterion
- Complex Lp classes and Euclidean test-function conventions
- Complex Holder, Minkowski, and the quotient norm
- Minkowski's inequality for integrals, including p = ∞
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
- The Axiom of Countable Choice (AC_ω)
- Complex Lp completeness and almost-everywhere subsequences
- Heine-Borel by bisection: every closed bounded interval [a,b] is compact
- A continuous real function on a compact subset of ℝ is bounded
- Lebesgue measurable sets, the family L(ℝⁿ), and the restricted set function λₙ
- Assuming countable choice, L(ℝⁿ) is a sigma-algebra containing every elementary set and λₙ is a complete measure extending elementary volume
- A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included
- Lebesgue measure is sigma-finite, and every metrically bounded subset of ℝⁿ has finite outer measure
- The completed product measure
- ℚ is countably infinite
- Both ℚ and ℝ ∖ ℚ are dense in ℝ, and every nonempty open subset of ℝ is uncountable
- Finite and countable subadditivity of measures
- Arithmetic and lattice operations preserve measurability whenever they are defined
Used by · 74
- Question A: general boundary exact control
- Question B: controls on part of the boundary
- Question B prime: outer boundary control
- Prior full and partial boundary control results reported in the introduction
- Prior exterior-domain dispersive and Cauchy results
- Non-trapping and geometric control from infinity
- Reference trajectory hypothesis W
- Conditional energy-level unique continuation hypothesis
- Theorem 1.1: exact outer boundary controllability
- Necessary endpoint compatibility for boundary controls
- Theorem 1.2: linear control on the full stated scale
- Theorem 1.3: cubic internal control near zero
- Theorem 1.4: linearized control around a trajectory
- Theorem 1.5: cubic internal control near a trajectory
- Corollary 1.6: quintic control near zero
- Multiplier boundary term and hidden normal trace
- Linear damping decay and observability comparison
- Proposition 2.2: retarded local smoothing
- Homogeneous half-derivative local smoothing
- Strichartz estimate away from the obstacle
- Global Strichartz estimate with derivative loss
- Three-dimensional L4 time Linfinity space estimate
- Regularized lower-order observation remainder
- Localized free-flow bounds and compactness mechanism
- Spectral interpolation and lower-order absorption
- Lemma 3.2: compactness of the remainder
- Lemma 3.3: observability modulo a compact remainder
- Local observation has a lower initial regularity cost
- Proposition 3.5: full-scale free observability
- Lifting zero-order observability to the order-two endpoint
- Linear forced well-posedness by Duhamel formula
- Scale Riesz map and free HUM operator
- Free HUM identity, coercivity and invertibility
- Theorem 3.6: bounded continuous control operator
- Abstract nonlinear control-space hypotheses
- Endpoint-correcting nonlinear feedback map
- Theorem 3.7: abstract small-data perturbation result
- Lemma 3.8: energy-data time-integrable supremum bound
- Two-dimensional exponents removing the Strichartz loss
- Energy control space with a time-integrable supremum norm
- Free and retarded bounds in the energy control space
- Cubic and quintic energy-space nonlinear time estimates
- Proposition 3.9: energy-space local control
- Exterior H2 algebra and polynomial nonlinear estimates
- Proposition 3.10: order-two local control
- Remark 5: controllability above the Sobolev algebra threshold
- Transfer from exterior internal control to outer boundary control
- Time-dependent potential and conjugation bounds on the scale
- Forward and backward real-linear propagators
- Lemma 4.1: retarded smoothing down to negative order two
- Negative resolvent bounds and the retarded Fourier argument
- Resolvent-regularized adjoint and its forcing
- Lemma 4.2: smoothing of the regularized adjoint
- Lemma 4.3: perturbed observability modulo a remainder
- Lemma 4.4: compactness for regularized perturbed trajectories
- Time cutoff bootstrap for invisible adjoint solutions
- Lemma 4.5: invisible solutions acquire energy regularity
- Proposition 4.6: conditional adjoint observability
- Real HUM operator for the trajectory linearization
- Coercivity and bounded trajectory control operator
- Linearized propagator bounds in the nonlinear control spaces
- Quadratic-cubic estimates near a reference trajectory
- Endpoint feedback around a trajectory
- Nonlinear exact control below energy regularity
- Three-dimensional intermediate Sobolev control
- Nonlinear control for trapping obstacle configurations
- Imported homogeneous and retarded exterior smoothing
- Exterior Strichartz estimates with precise loss
- Three-dimensional Dirichlet energy-to-mixed-norm estimate
- Endpoint maps and exact steering from a null-control operator
- A bounded endpoint selector yields small nonlinear exact steering
- Cubic and quintic time bounds from L4 Linfinity control
- Tame bounds for the quadratic-cubic trajectory remainder
- Localized multiplier estimate for the exterior Dirichlet normal trace
Dependency tree · 2 levels
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