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Continuous and mixed time-space function spaces

Definition

Assume countable choice. Let 0<T≤∞ and let X be a real or complex Banach space. When T=∞, the interval (0,T) means (0,∞). For finite T, write C([0,T];X) for the functions u:[0,T]→X continuous in the norm metric, with ∥u∥C([0,T];X)=sup⁡0≤t≤T∥u(t)∥X.

For 1≤p≤∞, Lp(0,T;X) is the set of almost-everywhere equivalence classes of strongly measurable maps u:(0,T)→X for which ∥u∥Lp(0,T;X) is finite. Strong measurability means almost-everywhere norm convergence of measurable finite-range X-valued simple functions. For p<∞ the norm is (∫0T∥u(t)∥Xp dt)1/p; for p=∞ it is the essential supremum of ∥u(t)∥X. Time measure is restricted Lebesgue measure on (0,T), including on (0,∞) when T=∞. When p=1, integration of such a map over time means its Bochner integral.

Let D⊂Rn be Lebesgue measurable, with restricted Lebesgue measure, and let 1≤p,q≤∞. The spatial space Lq(D;C) is the usual quotient of measurable complex functions with finite Lq norm by equality almost everywhere. For a jointly measurable complex function u on the completed product (0,T)×D, set Nq(t)=∥u(t,⋅)∥Lq(D) for almost every t for which the section is measurable, allowing Nq(t)=∞, and put Nq(t)=0 on an exceptional null set. Define LtpLxq=Lp(0,T;Lq(D))mixed as the product-almost-everywhere classes of such functions for which ∥Nq∥Lp(0,T)<∞, with that quantity as norm. At either infinite exponent the corresponding norm is an essential supremum. This mixed notation alone does not require t↦u(t,⋅) to be strongly measurable as an Lq(D)-valued map. The Bochner space Lp(0,T;Lq(D)) is used only when that additional requirement holds.

Definition references

Facts & Assumptions

[F1]

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

[F2]

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

[F3]

Scalar complex Lq is the almost-everywhere quotient, and its displayed functional is a norm, including at q=∞. Real scalar Minkowski holds for every exponent in [1,∞]. Complex Lp classes and Euclidean test-function conventions Complex Holder, Minkowski, and the quotient norm Minkowski's inequality for integrals, including p = ∞

[F4]

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)

[F5]

Under countable choice, complex Lq is complete on every measure space for 1≤q≤∞; 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)

[F6]

Every closed bounded real interval [a,b] with a≤b 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

[F7]

Under countable choice, Lebesgue measure λd is a complete measure on the Lebesgue sigma-algebra of Rd. For finite T, the interval (0,T) is Lebesgue measurable with λ1((0,T))=T. The half-line (0,∞)=⋃k≥1(0,k) 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)

[F8]

Under countable choice, the measurable cubes (−k,k]d, k≥1, cover Rd and have finite Lebesgue measure. Every bounded Lebesgue measurable subset of Rd 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)

[F9]

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)

[F10]

The rationals are countably infinite; their canonical image in R 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

[F11]

A countable union of measurable null sets is measurable and null by countable subadditivity. Finite and countable subadditivity of measures

[F12]

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 u, the norm triangle inequality gives ∥u(t)∥X−∥u(s)∥X≤∥u(t)−u(s)∥X; interchanging s,t yields ∣∥u(t)∥X−∥u(s)∥X∣≤∥u(t)−u(s)∥X. Thus t↦∥u(t)∥X is continuous. For finite T>0, F6 makes [0,T] 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 p=1, integrability and independence of the Bochner integral follow from F2. Applied to restricted Lebesgue measure on D, F5 shows that Lq(D;C) is Banach for every allowed q, including q=∞, 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 E⊆Rd, the Lebesgue measurable subsets of E form a sigma-algebra on E: relative complements are differences of Lebesgue measurable sets and countable unions remain Lebesgue measurable. Assign each such subset A the value λd(A). The empty-set and countable-additivity axioms follow directly from those of λd in F7. If such an A is null, every subset of A is Lebesgue measurable by F7 and remains inside E, so this measure on E is complete. This is the restricted Lebesgue measure used in the definition. For E=D and d=n, the sets D∩(−k,k]n, k≥1, are bounded Lebesgue measurable subsets, so F8 makes their measures finite; their union is D. For E=(0,T) and d=1, F7 gives measurability for both finite T and T=∞. The sets E∩(−k,k], k≥1, are bounded Lebesgue measurable sets of finite measure by F8 and cover E, so the time factor is sigma-finite even when T=∞. 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 u is finite-valued and complex measurable, F12 makes (Re⁡u)+, (Re⁡u)−, (Im⁡u)+ and (Im⁡u)− nonnegative jointly measurable functions. Apply the nonnegative branch of F4 separately to these four functions and let A0 be the union of their measurable null exceptional time sets. By F11, A0 is measurable and null. Outside A0, 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 u(t,⋅) is complex measurable there. For finite q, apply F4 to ∣u∣q, enlarge its measurable null exceptional set by A0, and set Nq to zero there; taking the qth root of the resulting measurable section integral makes Nq measurable. For q=∞, identify rational thresholds with their canonical real images, as in F10. For each rational r>0, apply F4 to 1{∣u∣>r} to obtain a measurable section-integral function Ir and a measurable null exceptional set Ar, with Ir(t)=λn({x∈D:∣u(t,x)∣>r}) outside Ar. F10 and the assumed countable choice allow these exceptions to be chosen for all such r. By F11, A=A0∪⋃r∈Q, r>0Ar is measurable and null. Set every Ir and N∞ to zero on A; each Ir remains measurable. Outside A, N∞ is the section essential supremum. [given, F4, F10, F11, F12, step 1.2]

3.1 For each real a≥0, one has {t:N∞(t)>a}=⋃r∈Q, r>a{t:Ir(t)>0}. Indeed, outside A, if N∞(t)>a, density in F10 gives a rational r with a<r<N∞(t), also when N∞(t)=∞; the section measure Ir(t) must be positive, since otherwise r would be an essential bound. Conversely, Ir(t)>0 means that no number below r is an essential bound, so N∞(t)≥r>a by the infimum convention in F3. Both sides exclude A. The union is countable by F10 and consists of measurable sets by step 2.1. Negative superlevels are the whole time interval because N∞≥0. Hence N∞ 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 Nq 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 Lp norm to the sectionwise bounds gives the mixed triangle inequality and homogeneity. If the mixed norm is zero, Nq=0 almost everywhere, so the sections vanish almost everywhere there; F4 then makes u=0 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 L∞(D). [given, F3, F4, step 1.2, step 2.1, step 3.1] ∎

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