Weighted Solyanik Estimates for the Hardy-Littlewood maximal operator and embedding of $A_\infty$ into $A_p$
Paul A. Hagelstein, Ioannis Parissis

TL;DR
This paper proves weighted Solyanik estimates for the Hardy-Littlewood maximal operator, demonstrating that the sharp Tauberian constants tend to 1 as lpha approaches 1, and characterizes the embedding of A_ into A_p.
Contribution
It establishes the limit behavior of weighted Tauberian constants and provides a quantitative embedding of A_ weights into A_p classes.
Findings
The limit of _w(lpha) as lpha approaches 1 is 1 for A_ weights.
The limit of ^w(lpha) as lpha approaches 1 is 1 if and only if the weight w is in A_.
A quantitative embedding of A_ into A_p is obtained.
Abstract
Let denote a weight in which belongs to the Muckenhoupt class and let denote the uncentered Hardy-Littlewood maximal operator defined with respect to the measure . The \emph{sharp Tauberian constant} of with respect to , denoted by , is defined by \[ \mathsf{C}_w (\alpha) := \sup_{E:\, 0 < w(E) < \infty}w(E)^{-1}w\big(\big\{x \in \mathbb{R}^n:\, \mathsf{M}_w \chi_E (x) > \alpha\big\}\big). \] In this paper, we show that the Solyanik estimate \[ \lim_{\alpha \rightarrow 1^-}\mathsf{C}_w(\alpha) = 1 \] holds. Following the classical theme of weighted norm inequalities we also consider the sharp Tauberian constants defined with respect to the usual uncentered Hardy-Littlewood maximal operator and a weight : \[ \mathsf C ^w (\alpha) := \sup_{E:\, 0 < w(E) < \infty} w(E)^{-1}…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
