2004
DOI: 10.1093/qjmath/55.4.441
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Multilinear extensions of Grothendieck's theorem

Abstract: Abstract. We introduce a new class of multilinear p-summing operators, which we call multiple p-summing. Using them, we can prove several multilinear generalizations of Grothendieck's "fundamental theorem of the metric theory of tensor products". Several applications and improvements of previous results are given.

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Cited by 32 publications
(58 citation statements)
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“…In the particular case of paraproducts, Marcinkiewicz-Zygmund inequalities were obtained by C. Benea and C. Muscalu in [1] and [2]. The results in [4] extend the previous ones in [10] and [3].…”
Section: A Vector-valued Extension Of Theorem 110supporting
confidence: 64%
“…In the particular case of paraproducts, Marcinkiewicz-Zygmund inequalities were obtained by C. Benea and C. Muscalu in [1] and [2]. The results in [4] extend the previous ones in [10] and [3].…”
Section: A Vector-valued Extension Of Theorem 110supporting
confidence: 64%
“…Items (ia) and (ic) are consequences of Theorem 3.1, then we only need to prove (ib). If k q,p (r) < ∞ then k q,p (r) < ∞ (by Proposition 1.4) and by Theorem 1.2(ii) it follows that 2 ≤ r ≤ p. For the converse, take 2 ≤ r ≤ p. If q ≤ r ≤ p then k q,p (r) = 1 by Remark 2.3, while if 2 ≤ r ≤ q then k q,p (r) < ∞ by Corollary 2.6, since k q,p (2) < ∞ (this is the particular case of the Marcinkiewicz-Zygmund inequalities proved in [5,18]) and k q,p (q) = 1 < ∞. Now we prove (ii).…”
Section: 2mentioning
confidence: 93%
“…Observe that there is no restriction to assume r k < q. Indeed, any linear map with value in a cotype q space is always (q, 1)-summing and we may apply Theorem 2.3 to deduce that any multilinear map with value in a cotype q space is always multiple (q, 1)-summing, a result already observed in [8,Theorem 3.2] Our second more appealing result happens when we start from a (r k , p k )-separately summing map (namely |C k | = 1 for all k) with 1…”
Section: 2mentioning
confidence: 56%
“…, X m , Y Banach spaces and T : X 1 × · · · × X m → Y mlinear. Following [8] and [17], for r ≥ 1 and p = (p 1 , . .…”
Section: Introductionmentioning
confidence: 99%