Quadratic sparse domination and Weighted Estimates for non-integral Square Functions

TL;DR

This paper establishes a quadratic sparse domination for non-integral square functions on doubling spaces, enabling optimal weighted norm estimates for various elliptic and Laplace-Beltrami related operators.

Contribution

It introduces a novel quadratic sparse domination framework for non-integral square functions, applicable to diverse elliptic and geometric operators, leading to sharp weighted estimates.

Findings

Proves quadratic sparse domination for non-integral square functions.

Derives optimal weighted L^p estimates using sparse domination.

Applicable to divergence form elliptic and Laplace-Beltrami operators.

Abstract

We prove a quadratic sparse domination result for general non-integral square functions $S$. That is, we prove an estimate of the form \begin{equation*} \int_{M} (S f)^{2} g \, \mathrm{d}\mu \le c \sum_{P \in \mathcal{S}} \left(\frac{1}{\lvert 5P \rvert}\int_{5 P} \lvert f\rvert^{p_{0}} \, \mathrm{d}\mu\right)^{2/p_{0}} \left(\frac{1}{\lvert 5P \rvert} \int_{5 P} \lvert g\rvert^{q_{0}^*}\,\mathrm{d}\mu\right)^{1/q_{0}^*} \lvert P\rvert, \end{equation*} where $q_{0}^{*}$ is the H\"{o}lder conjugate of $q_{0}/2$, $M$ is the underlying doubling space and $\mathcal{S}$ is a sparse collection of cubes on $M$. Our result will cover both square functions associated with divergence form elliptic operators and those associated with the Laplace-Beltrami operator. This sparse domination allows us to derive optimal norm estimates in the weighted space $L^{p}(w)$.