Sharp helical maximal estimates in all dimensions

We establish sharp $L^p$ maximal estimates for averages over smooth nondegenerate curves in $\mathbb R^n$ for $p>n$. More precisely, we show that for any nondegenerate curve $γ$ in $\mathbb R^n$ and the associated maximal operator \begin{equation} M f(x):=\sup_{t>0} \Big|\int_{-1}^1f(x-tγ(s))χ(s)\,\mathrm{d}s\Big|, \end{equation} the estimate \begin{equation} \| Mf\|_{L^p(\mathbb R^n)}\lesssim_{γ,p,n} \|f\|_{L^p(\mathbb R^n)} \end{equation} holds for all $p>n$. A new ingredient is a weighted Kakeya-type estimate.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.37250
Primary Topic
Advanced Harmonic Analysis Research
Type
preprint
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preprint

Sharp helical maximal estimates in all dimensions

Shengwen Gan, Changkeun Oh, Jaehoon Shin
arXiv (Cornell University)
Advanced Harmonic Analysis Research
preprint

Sharp helical maximal estimates in all dimensions

Shengwen Gan, Changkeun Oh, Jaehoon Shin
preprint en

Abstract

We establish sharp $L^p$ maximal estimates for averages over smooth nondegenerate curves in $\mathbb R^n$ for $p>n$. More precisely, we show that for any nondegenerate curve $γ$ in $\mathbb R^n$ and the associated maximal operator \begin{equation} M f(x):=\sup_{t>0} \Big|\int_{-1}^1f(x-tγ(s))χ(s)\,\mathrm{d}s\Big|, \end{equation} the estimate \begin{equation} \| Mf\|_{L^p(\mathbb R^n)}\lesssim_{γ,p,n} \|f\|_{L^p(\mathbb R^n)} \end{equation} holds for all $p>n$. A new ingredient is a weighted Kakeya-type estimate.

arXiv (Cornell University)
Advanced Harmonic Analysis Research
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Sharp helical maximal estimates in all dimensions — Shengwen Gan, Changkeun Oh, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS