2018
DOI: 10.1307/mmj/1516330973
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Sparse Domination Theorem for Multilinear Singular Integral Operators with Lr-Hörmander Condition

Abstract: In this note, we show that if T is a multilinear singular integral operator associated with a kernel satisfies the so-called multilinear L r -Hörmander condition, then T can be dominated by multilinear sparse operators.Date: June 25, 2018. 2010 Mathematics Subject Classification. 42B20, 42B25, 42B15.

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Cited by 34 publications
(38 citation statements)
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“…Therefore, assuming additionally that T is of weak type (q, q), by Corollary 5.1 we obtain that (5.1) holds with s = max(q, r ′ ). This result in a slightly different form can be found in [21]. Example 5.3.…”
Section: Examplesmentioning
confidence: 66%
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“…Therefore, assuming additionally that T is of weak type (q, q), by Corollary 5.1 we obtain that (5.1) holds with s = max(q, r ′ ). This result in a slightly different form can be found in [21]. Example 5.3.…”
Section: Examplesmentioning
confidence: 66%
“…Indeed, it is easy to see that f s,Q appears in the sparse domination estimate in Theorem 3.1 just because, by Hölder's inequality, We also note that Theorem 3.1 can be easily extended to a multilinear case. In [21], a multilinear extension of Theorem A was obtained. Our multilinear variant of Theorem 3.1 improves this result exactly in the same way as Theorem 3.1 improves Theorem A.…”
Section: Some Variations Of Theorem 11mentioning
confidence: 99%
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“…, we get as in the scalar-valued case (and with the same classical Calderón-Zygmund decomposition proof) that T : L 1 (R n ; E 1 ) × L 1 (R n ; E 2 ) → L 1/2,∞ (R n ; E 3 ). Such a weak type estimate implies a pointwise sparse domination -see for instance [47] for a proof in the scalar case. However, essentially the same proof works in the Banach-valued case.…”
Section: 4mentioning
confidence: 99%
“…with Q κ = 3 κ Q. This operator was introduced by Lerner [21] and plays an important role in the proof of weighted estimates for singular integral operators, see [24,4,25].…”
Section: Proof Of Theorem 14mentioning
confidence: 99%