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Discrete Spherical Averages

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ASC - Approximation, sampling and compression in data science

The strongest inequalities concerning continuous spherical averages are phrased in the language of $L^p$ improving inequalities.  Replace the  continuous averages by discrete averages, that is average over lattice points on a sphere. These inequalities then engage the continuous versions, the Hardy-Littlewood circle method, and Kloosterman sums. We will report on progress understanding these inequalities. Joint work with Robert Kesler, and Dario Mena.  



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