Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
173 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

$\ell^p$-improving inequalities for Discrete Spherical Averages (1804.09845v11)

Published 26 Apr 2018 in math.CA

Abstract: Let $ \lambda 2 \in \mathbb N $, and in dimensions $ d\geq 5$, let $ A_{\lambda } f (x)$ denote the average of $ f \;:\; \mathbb Z {d} \to \mathbb R $ over the lattice points on the sphere of radius $\lambda$ centered at $x$. We prove $ \ell {p}$ improving properties of $ A_{\lambda }$. \begin{equation*} \lVert A_{\lambda }\rVert_{\ell {p} \to \ell {p'}} \leq C_{d,p, \omega (\lambda 2 )} \lambda {d ( 1-\frac{2}p)}, \qquad \tfrac{d-1}{d+1} < p \leq \frac{d} {d-2}. \end{equation*} It holds in dimension $ d =4$ for odd $ \lambda 2 $. The dependence is in terms of $ \omega (\lambda 2 )$, the number of distinct prime factors of $ \lambda 2 $. These inequalities are discrete versions of a classical inequality of Littman and Strichartz on the $ L {p}$ improving property of spherical averages on $ \mathbb R {d}$, in particular they are scale free, in a natural sense. The proof uses the decomposition of the corresponding multiplier whose properties were established by Magyar-Stein-Wainger, and Magyar. We then use a proof strategy of Bourgain, which dominates each part of the decomposition by an endpoint estimate.

Summary

We haven't generated a summary for this paper yet.