Multilinear Littlewood-Paley-Stein Operators on Non-homogeneous Spaces

TL;DR

This paper establishes the boundedness of multilinear Littlewood-Paley-Stein operators on non-homogeneous spaces, using probabilistic and dyadic techniques, with weaker kernel conditions and measures that are only upper doubling.

Contribution

It introduces new boundedness results for multilinear Littlewood-Paley-Stein operators on non-homogeneous spaces with relaxed kernel and measure conditions.

Findings

Boundedness of $g_{ ext{lambda}, ext{mu}}^*$ on non-homogeneous spaces.

Operators are bounded under weak type assumptions with weaker kernel conditions.

Results are new even for Lebesgue measures.

Abstract

Let $\kappa \ge 2, \lambda > 1$ and define the multilinear Littlewood-Paley-Stein operators by $$g_{\lambda,\mu}^*(\vec{f})(x) = \bigg(\iint_{\mathbb{R}^{n+1}_{+}} \vartheta_t(x, y) \bigg|\int_{\mathbb{R}^{n \kappa}} s_t(y,\vec{z}) \prod_{i=1}^{\kappa} f_i(z_i) \ d\mu(z_i)\bigg|^2 \frac{d\mu(y) dt}{t^{m+1}}\bigg)^{\frac12}, $$ where $\vartheta_t(x, y)=\big(\frac{t}{t + |x - y|}\big)^{m \lambda}$. In this paper, our main aim is to investigate the boundedness of $g_{\lambda,\mu}^*$ on non-homogeneous spaces. By means of probabilistic and dyadic techniques, together with non-homogeneous analysis, we show that $g_{\lambda,\mu}^*$ is bounded from $L^{p_1}(\mu) \times \cdots \times L^{p_{\kappa}}(\mu)$ to $L^p(\mu)$ under certain weak type assumptions. The multilinear non-convolution type kernels $s_t$ only need to satisfy some weaker conditions than the standard conditions of multilinear Calder\'{o}n-Zygmund type kernels and the measures $\mu$ are only assumed to be upper doubling measures (non-doubling). The above results are new even under Lebesgue measures. This was done by considering first a sufficient condition for the strong type boundedness of $g_{\lambda,\mu}^*$ based on an endpoint assumption, and then directly deduce the strong bound on a big piece from the weak type assumptions.