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$\ell^p(\mathbb{Z}^d)$-Improving Properties and Sparse Bounds for Discrete Spherical Maximal Averages

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arxiv 1805.09925 v6 pith:O42WYFU3 submitted 2018-05-24 math.CA

classification math.CA
keywords discretemaximalboundsimprovingpropertiessparsesphericalaverage
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abstract

We exhibit a range of $\ell ^{p}(\mathbb{Z}^d)$-improving properties for the discrete spherical maximal average in every dimension $d\geq 5$. The strategy used to show these improving properties is then adapted to establish sparse bounds, which extend the discrete maximal theorem of Magyar, Stein, and Wainger to weighted spaces. In particular, the sparse bounds imply that the discrete spherical maximal average is a bounded map from $\ell^2(w)$ into $\ell^2(w)$ provided $w^{\frac{d}{d-4}+\delta}$ belongs to the Muckenhoupt class $A_2$ for some $\delta>0.$

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  1. Sharp $\ell^p$-Improving Estimates for Fixed-Radius Discrete Spherical Averages

    math.CA 2026-08 conditional novelty 6.0 of 10

    Fixed-radius lattice sphere averages on Z^d satisfy the sharp l^p improving estimate down to the endpoint p=(d+2)/d for every d at least 4, with the optimal decay exponent.

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