2012
DOI: 10.1016/j.jfa.2012.08.013
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On the pointwise convergence of the sequence of partial Fourier sums along lacunary subsequences

Abstract: In his 2006 ICM invited address, Konyagin mentioned the following conjecture: if S n f stands for the n-th partial Fourier sum of f and {n j } j ⊂ N is a lacunary sequence, then S n j f is a.e. pointwise convergent for any f ∈ L log log L. In this paper we will show that sup j |S n j (f )| 1,∞ C f 1 log log(10 + f ∞ f 1 ).As a direct consequence we obtain that S n j f → f a.e. for f ∈ L log log L log log log L. The (discrete) Walsh model version of this last fact was proved by Do and Lacey but their methods do… Show more

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Cited by 21 publications
(31 citation statements)
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References 18 publications
(62 reference statements)
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“…This motivates the study of endpoint estimates for the bilinear Hilbert transform at the boundary of the hexagon. Similar endpoint questions for Carleson's operator, the other stalwart of time-frequency analysis, have enjoyed some popularity as well in recent years [8,9,10,22,23].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…This motivates the study of endpoint estimates for the bilinear Hilbert transform at the boundary of the hexagon. Similar endpoint questions for Carleson's operator, the other stalwart of time-frequency analysis, have enjoyed some popularity as well in recent years [8,9,10,22,23].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…• in Section 8 we present the proof of Theorem 19 that can be reduced to the proofs of the L 2 -boundedness of the Carleson operator and of the Main Lemma. • in Section 9 we prove Theorem 20 by closely following the spirit of our approach in [25]. • Section 10 is the most technical component of our paper.…”
Section: • In Section 3 We Show That Main Theorem B Implies Main Theoremmentioning
confidence: 99%
“…non-convex) trees of 0-frequency tiles relative to the standard order relation " ≤ ". 25 24 Throughout the paper we adopt the following convention: when setting the parameter r ∈ N we allow the value r = 0, and, in this case, we simply set…”
Section: Definition 6 [Base Of R]mentioning
confidence: 99%
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