2022
DOI: 10.1007/s00222-021-01094-6
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Maximal estimates for averages over space curves

Abstract: We study problems related to smooth nondegenerate curves γ in R d . First we show the maximal operator M defined by the averaging operator At over the dilations tγ is bounded on L p for p > 2(d − 1) when d ≥ 4. The result is a consequence of the new sharp local smoothing estimate for At. Secondly, we prove the sharp L p Sobolev regularity estimates for At with a fixed t = 0 when d ≥ 5. This settles the problem of sharp L p regularity estimate except the endpoint cases.2010 Mathematics Subject Classification. 4… Show more

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Cited by 10 publications
(27 citation statements)
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References 40 publications
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“…In [12], some of the authors extended the L p circular maximal estimate to that relative to α-dimensional measures, which recovers the aforementioned Wolff's result in [33]. Moreover, L p maximal bound was extended to space curves (see [28,16,1,17]). Various forms of local smoothing estimates played important roles in proving those results.…”
Section: Introductionmentioning
confidence: 60%
“…In [12], some of the authors extended the L p circular maximal estimate to that relative to α-dimensional measures, which recovers the aforementioned Wolff's result in [33]. Moreover, L p maximal bound was extended to space curves (see [28,16,1,17]). Various forms of local smoothing estimates played important roles in proving those results.…”
Section: Introductionmentioning
confidence: 60%
“…In R 3 , the first positive result was obtained by Pramanik and Seeger [24] and the range of p was further extended to 𝑝 > 4 thanks to the decoupling inequality for the cone [4]. Very recently, the authors [14] proved 𝐿 𝑝 boundedness of M on the optimal range, that is, M is bounded on 𝐿 𝑝 if and only if 𝑝 > 3. The same result was independently obtained by Beltran et al [1].…”
Section: Maximal Estimatementioning
confidence: 98%
“…However, Sobolev and local smoothing estimates for turned out to be more involved and are far less well understood. Recently, there has been progress in low dimensions ([24, 14, 1, 2]), but it does not seem feasible to extend the approaches in the recent works to higher dimensions. We discuss this matter in detail near the end of the introduction.…”
Section: Introductionmentioning
confidence: 99%
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