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Published online by Cambridge University Press: 13 November 2024
We study a maximal average along a family of curves $\{(t,m(x_1)\gamma(t)):t\in [-r,r]\}$, where
$\gamma|_{[0,\infty)}$ is a convex function and m is a measurable function. Under the assumption of the doubling property of
$\gamma'$ and
$1\leqslant m(x_1)\leqslant 2$, we prove the
$L^p(\mathbb{R}^2)$ boundedness of the maximal average. As a corollary, we obtain the pointwise convergence of the average in r > 0 without any size assumption for a measurable m.
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