2007
DOI: 10.1016/j.jmaa.2006.07.107
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Spaces of integrable functions with respect to a vector measure and factorizations through Lp and Hilbert spaces

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Cited by 9 publications
(2 citation statements)
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“…. , n}, h ∈ L 0 ( µ j ), 1 ≤ r ≤ ∞ and [8] define the measure η := Kd µ. We define the Lebesgue space related to K, which we denote L r K ( µ j ), as the space of µ j -measurable functions such that the norm…”
Section: Factorization For Multilinear Kernel Operatorsmentioning
confidence: 99%
See 1 more Smart Citation
“…. , n}, h ∈ L 0 ( µ j ), 1 ≤ r ≤ ∞ and [8] define the measure η := Kd µ. We define the Lebesgue space related to K, which we denote L r K ( µ j ), as the space of µ j -measurable functions such that the norm…”
Section: Factorization For Multilinear Kernel Operatorsmentioning
confidence: 99%
“…The L p -spaces of vector measures have two main properties. First, they represent (order isometrically) any p-convex order continuous Banach function space defined over a finite measure (see [8,Proposition 2.4]). Second, they represent the maximal space of extension of a µ-determined operator between a Banach function space over µ and a Banach space, among all p-convex order continuous Banach function spaces of finite measures (see, for instance, [19,Theorem 5.7]).…”
Section: Introductionmentioning
confidence: 99%