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Reflexive approximation property implies metric approximation property
Statement
Assume the Axiom of Choice. If a real or complex reflexive Banach space has the approximation property, then it has the metric approximation property. Equivalently, for every norm-compact and every there is a bounded finite-rank such that
Facts & Assumptions
The Axiom of Choice holds (The Axiom of Choice).
AP and -BAP mean compact-uniform approximation of the identity by finite-rank operators, with -BAP imposing norm at most (Approximation property and bounded approximation property). Here MAP denotes -BAP.
Reflexivity means that the canonical isometry is onto (Reflexivity is surjectivity of the canonical map), equivalently its closed unit ball is weakly compact (Reflexive iff unit ball weakly compact).
Under AC, Hahn--Banach separation is available over both scalar fields, dual balls are weak-star compact, bounded functionals on have finite regular representing measures over either scalar field, and scalar Radon--Nikodym densities exist (Hahn-Banach dominated extension theorem for real vector spaces, A bounded complex linear functional on a subspace of a complex normed space extends with the same norm, Banach–Alaoglu, A bounded real C_0(X) functional is a difference of positive functionals, Positive C_0(X) functionals have finite regular representing measures, The bounded complex dual of C_0(X) is regular complex measures, A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density).
Under AC, is reflexive and weak compactness is equivalent to weak sequential compactness (Reflexivity of Lp for one less p less infinity, Eberlein–Šmulian theorem).
Under Countable Choice, of a sigma-finite, countably generated measure space is separable (If is sigma-finite and is countably generated, then is separable for ). Assumption [A1] supplies Countable Choice by restriction to countable families.
Proof
Given: AC and a reflexive Banach space with AP.
Set up the tensor and operator norms. For Banach spaces and , put
Their completions are and . A tensor induces the nuclear operator ; the nuclear norm is the quotient of by the kernel of .
For later use, call integral when
extends continuously to ; its norm is the norm of that functional. Call Pietsch integral when there are a finite measure and bounded maps
with ; its Pietsch norm is the infimum of after the harmless normalization of . Every nuclear map is Pietsch integral and every Pietsch-integral map is integral, with
Prove the vector-density fact for a reflexive range. We need the following local form of the Radon--Nikodym theorem: if is a countably additive -valued measure of bounded variation and for a finite positive measure , then
for a Bochner-integrable . We give the operator proof because this fact is load-bearing below.
First suppose that a weakly compact operator has separable range. Replacing by the separable closed span of , choose a countable norming set and put
On the weakly compact closure of , this metric induces the weak topology: the identity from weak to -metric is continuous by uniform convergence of the displayed series, and compactness then makes it a homeomorphism. If is the completion of and is the inclusion, is compact.
The dual has MAP directly. Given a norm-compact and , choose a finite -net in , uniformly approximate the by simple functions, and let be the common finite measurable partition on which those simple functions are constant. Averaging over each positive-measure cell (and putting zero on null cells) defines a norm-one finite-rank conditional-average map . The triangle inequality gives . The standard adjoint form of AP therefore approximates the compact operator in operator norm by finite-rank maps . Write
with a finite-dimensional-valued strongly measurable . For such densities, : the easy inequality is Holder's inequality, and the reverse follows by testing on a positive-measure set where a norming functional almost attains the essential supremum. Thus converges in to a strongly measurable bounded , and .
For every of positive measure,
The function lies in almost everywhere. Indeed, is separable; cover by countably many open balls whose closures miss . If the inverse image of one such ball had positive measure, the average of over a smaller concentric inverse image would lie both in that ball and in , a contradiction. On , the -norm topology is the weak topology of . Hence is weakly measurable, essentially separably valued, and bounded in the original norm. To see strong measurability directly, use the norming sequence above: norm balls about a countable dense subset of are countable intersections of inverse images of scalar Borel sets, so choosing the first ball of radius that contains gives countably-valued measurable approximants; truncating their ranges gives simple functions converging pointwise in norm. Thus is represented by an essentially bounded Bochner-measurable -valued density.
Now let be any weakly compact operator. The family of characteristic functions is relatively weakly compact in : it lies in the image of the closed set under the continuous inclusion , and that set is weakly compact by [L4]. For a sequence , restrict to the space of the countably generated sigma-algebra generated by the . The restricted finite measure is sigma-finite, so this space is separable by [A1] and [L5]. If is a countable dense subset, continuity makes dense in the image of the restriction; the closed linear span of is therefore separable and contains that image. Thus the restriction has separable range and hence has the representation just proved. Representable maps are completely continuous on weakly convergent sequences: if in , then is uniformly integrable. For completeness, failure of uniform integrability would permit a gliding-hump subsequence on successively almost-disjoint small sets; putting the scalar sign of the selected on each hump produces one for which stays bounded away from zero, contradicting weak convergence. A pointwise simple approximation to the bounded density, Egorov on a large set, and uniform integrability on its small complement reduce the assertion to finitely many scalar integrals . Consequently has a norm-convergent subsequence. Thus is relatively norm compact and is separable. Characteristic functions span a dense subspace of , so the range of is separable. The preceding paragraph now represents .
Apply this to the integration operator
It is bounded, and it is weakly compact because its range is in the reflexive space by [L2]. Hence for an essentially bounded Bochner-measurable . Scalar Radon--Nikodym under [L3] gives ; then is Bochner integrable and . This proves the required density fact.
Use the density fact to identify nuclear and Pietsch-integral maps into . Let be Pietsch integral and choose as in step 1.1 with a probability measure. The vector measure has variation at most and is absolutely continuous with respect to . By step 1.2 it has a Bochner density , and equality first on simple functions and then by density gives
Choose simple in . If , then
and . Passing to the projective completion shows that is nuclear and . Infimizing over factorizations and using the general inequalities of step 1.1 yields, isometrically,
Identify Pietsch-integral and integral maps into . An integral has a factorization
whose product norm can be chosen arbitrarily close to . Here is the factorization explicitly. By [L3] the relevant weak-star dual balls are compact. Embed the injective tensor product isometrically into the continuous functions on their product, extend without increasing its norm by [L3], and apply the real or complex Riesz--Markov suppliers in [L3] to represent that extension by a finite regular measure . Put , and define
Then is bounded, and the identity defining gives first after evaluation at each and hence in . Applying the polar decomposition of puts its total variation exactly into the product norm, proving the asserted infimum. Since is onto and isometric, is a factorization of through with the same norm. Hence ; the reverse inequality is general. Combining this with step 2.1 gives
isometrically.
Use AP to remove the projective-tensor kernel. Take . After rescaling a nuclear representation we may write
Indeed, choose successive finite-tensor approximants whose projective-norm errors are below , write the difference in block with total coefficient norm below , and multiply its second factors by while multiplying its first factors by . The first-factor norms then have summable block totals and the second-factor norms tend to zero after normalizing each original elementary tensor.
Thus is compact. AP supplies finite-rank maps for which , and consequently
in projective norm. If the operator induced by is zero and , then
Therefore . The canonical quotient is injective, hence isometric.
Prove the isometric tensor criterion. Define
by
By step 2.3 the domain is with its nuclear norm, and by the definition in step 1.1 the codomain is . Under these identifications sends to . The two associated bilinear forms are literally equal,
so the integral norm is unchanged. Step 2.2 identifies the nuclear and integral norms on the domain. Hence is an isometry.
Derive finite-rank contractions from the criterion. Let be the convex balanced set of finite-rank operators on of norm at most one. The isometry in step 3.1 says, for every ,
Reflexivity identifies every functional on with an operator on , so the ordinary dual formula for the projective norm gives the same supremum over the full unit ball of . The Hahn--Banach bipolar theorem from [L3] therefore makes weak-operator dense in that unit ball. In particular, for every finite tuple , the tuple lies in the weak closure of
This set is convex, so its weak and norm closures agree by [L3]. It follows that is in the strong-operator closure of : there is a net of finite-rank contractions with for every .
Upgrade pointwise convergence to MAP. Fix compact and . Choose a finite -net in and then so that for all . Since , any and a corresponding satisfy
Thus has MAP by [L1]. The zero space is covered by . The proof works over both scalar fields; in the complex case every separation argument is applied to real parts. AC is the umbrella assumption for the supplier hypotheses and selections listed above: scalar Radon--Nikodym, Banach--Alaoglu and the weak-compactness/subsequence steps, real and complex Hahn--Banach (including separation and norming functionals), regular-measure representation, countably generated separability, and the countable approximation and tensor-representation choices. [A1, L1, L3, step 1.2] ∎
Depends on
- The Axiom of Choice
- Approximation property and bounded approximation property
- Reflexivity is surjectivity of the canonical map
- Hahn-Banach dominated extension theorem for real vector spaces
- A bounded complex linear functional on a subspace of a complex normed space extends with the same norm
- Banach–Alaoglu
- A bounded real C_0(X) functional is a difference of positive functionals
- Positive C_0(X) functionals have finite regular representing measures
- The bounded complex dual of C_0(X) is regular complex measures
- A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density
- Reflexive iff unit ball weakly compact
- Reflexivity of Lp for one less p less infinity
- Eberlein–Šmulian theorem
- If $\mu$ is sigma-finite and $\mathcal{A}$ is countably generated, then $L^p(\mu)$ is separable for $1 \le p < \infty$
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Sources
- Raymond A. Ryan, Introduction to Tensor Products of Banach Spaces (standard reference, not scraped)