2018
DOI: 10.1016/j.aim.2017.12.013
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Rough bilinear singular integrals

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Cited by 40 publications
(50 citation statements)
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“…In the bilinear setting the role of the crucial L 2 → L 2 estimate is played by an L 2 ×L 2 → L 1 , and obviously Plancherel's identity cannot be used on L 1 . We overcome the lack of orthogonality on L 1 via a wavelet technique introduced by three of the authors in [10] in the study of certain bilinear operators; on this approach…”
Section: Introductionmentioning
confidence: 99%
“…In the bilinear setting the role of the crucial L 2 → L 2 estimate is played by an L 2 ×L 2 → L 1 , and obviously Plancherel's identity cannot be used on L 1 . We overcome the lack of orthogonality on L 1 via a wavelet technique introduced by three of the authors in [10] in the study of certain bilinear operators; on this approach…”
Section: Introductionmentioning
confidence: 99%
“…but it turns out that the optimal value of the constant α(2, 2) is 1/4. The considerations here are related to the proof of [9, Theorem 1.3], which enhances the combinatorial argument in [6].…”
Section: The Bilinear Problemmentioning
confidence: 99%
“…It is very natural to study multipliers appearing as sums of bumps supported in lattices, as many decompositions in analysis lead to such objects, e.g., wavelets, frames, ϕ transform, etc. Our present study is motivated by the solution of the boundedness problem for rough bilinear singular integrals in the largest possible open set of exponents, obtained in [6]. This solution relies on standard techniques of harmonic analysis but also uses a new treatment of columns of coefficients.…”
mentioning
confidence: 99%
“…A particular case of interest is that of rough bilinear singular integrals introduced by Coifman and Meyer and further studied by [20]. As explained in [27,Section 2.4], either from the weighted estimates obtained in [8] or from the sparse domination from [1] one easily gets an extension of [27,Corollary 2.17] covering the end-point cases.…”
Section: Calderón-zygmund Operators the Bilinear Hilbert Transform mentioning
confidence: 99%