2017
DOI: 10.1016/j.topol.2017.02.075
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A class of weakly compact sets in Lebesgue–Bochner spaces

Abstract: Abstract. Let X be a Banach space and µ a probability measure. A set K ⊆ L 1 (µ, X) is said to be a δS-set if it is uniformly integrable and for every δ > 0 there is a weakly compact set W ⊆ X such that µ(f −1 (W )) ≥ 1 − δ for every f ∈ K. This is a sufficient, but in general non necessary, condition for relative weak compactness in L 1 (µ, X). We say that X has property (δSµ) if every relatively weakly compact subset of L 1 (µ, X) is a δS-set. In this paper we study δS-sets and Banach spaces having property … Show more

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Cited by 4 publications
(3 citation statements)
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“…Our next result strengthens the conclusion of the Bourgain-Maurey-Pisier theorem (i.e., Theorem 2.11 with ε = 0) for Banach spaces having property KM w and multi-functions which are "measurable" in a certain sense. The proof is similar to that of [36,Proposition 2.8].…”
Section: Unconditional Sumsmentioning
confidence: 66%
“…Our next result strengthens the conclusion of the Bourgain-Maurey-Pisier theorem (i.e., Theorem 2.11 with ε = 0) for Banach spaces having property KM w and multi-functions which are "measurable" in a certain sense. The proof is similar to that of [36,Proposition 2.8].…”
Section: Unconditional Sumsmentioning
confidence: 66%
“…In general, the projective tensor product of two SWCG spaces is not SWCG, [22,Example 2.11]. It is an open problem whether the Lebesgue-Bochner space L 1 ([0, 1], X) (which is isometrically isomorphic to L 1 [0, 1] ⊗ π X) is SWCG whenever X is SWCG, see [19] and the references therein. In the other direction, it is known that ℓ 2 ⊗ π ℓ 2 is SWCG, [22,Example 2.3(c)].…”
Section: Introductionmentioning
confidence: 99%
“…Any δS-set of L 1 (ν, X) is relatively weakly compact, while the converse is not true in general. For more information on these sets, see [37] and the references therein. Concerning positive results, we show that L 1 (ν, X) has property (µ s δS ) whenever X is a subspace of a S 2 WCG space (Theorem 5.8).…”
Section: Introductionmentioning
confidence: 99%