A characterization of two weight norm inequality for Littlewood-Paley $g_{\lambda}^{*}$-function
Mingming Cao, Kangwei Li, Qingying Xue

TL;DR
This paper characterizes two-weight norm inequalities for the high-dimensional Littlewood-Paley $g_{\lambda}^*$-function, establishing necessary and sufficient conditions involving Muckenhoupt $A_2$ and testing conditions, extending to fractional kernels and intrinsic variants.
Contribution
It provides a complete characterization of two-weight inequalities for $g_{\lambda}^*$-functions, including fractional and intrinsic cases, with new testing and $A_2$ conditions.
Findings
The two-weight inequality holds iff $A_2$ and testing conditions are satisfied.
The characterization applies to fractional Poisson kernels.
Results extend to intrinsic $g_{\lambda}^*$-functions.
Abstract
Let and be the well-known high dimensional Littlewood-Paley function which was defined and studied by E. M. Stein, \begin{align*} g_{\lambda}^{*}(f)(x) =\bigg(\iint_{\mathbb R^{n+1}_{+}} \Big(\frac{t}{t+|x-y|}\Big)^{n\lambda} |\nabla P_tf(y,t)|^2 \frac{dy dt}{t^{n-1}}\bigg)^{1/2}, \ \quad \lambda > 1, \end{align*} where , and , . In this paper, we give a characterization of two-weight norm inequality for -function. We show that, if and only if the two-weight Muchenhoupt condition holds, and a testing condition holds : \begin{align*} \sup_{Q : cubes \ in \mathbb R^n}…
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