Weighted Estimates for Rough Bilinear Singular Integrals via Sparse Domination

Abstract

We prove weighted estimates for rough bilinear singular integral operators with kernel $$K(y_1,y_2)=\frac{\Omega ((y_1,y_2)/|(y_1,y_2)|)}{|(y_1,y_2){|}^{2d}},$$ where $y_i\in {\mathbb{R}}^d$ and $\Omega \in L^{\infty }(S^{2d-1})$ with ${\int }_{S^{2d-1}}\Omega d\sigma =0.$ The argument is by sparse domination of rough bilinear operators, via an abstract theorem that is a multilinear generalization of recent work by Conde-Alonso, Culiuc, Di Plinio and Ou. We also use recent results due to Grafakos, He, and Honz\'ık for the application to rough bilinear operators. In particular, since the weighted estimates are proved via sparse domination, we obtain some quantitative estimates in terms of the $A_p$ characteristics of the weights. The abstract theorem is also shown to apply to multilinear Calderón-Zygmund operators with a standard smoothness assumption. Due to the generality of the sparse domination theorem, future applications not considered in this paper are expected.

31 pages, final version

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• The Sparse T1 Theorem
• Sparse domination on non-homogeneous spaces with an application to $A_p$ weights
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Cited by in corpus (5)

• Extrapolation for multilinear Muckenhoupt classes and applications to the bilinear Hilbert transform
• End-point estimates, extrapolation for multilinear Muckenhoupt classes, and applications
• Sparse Domination for Bi-Parameter Operators Using Square Functions
• Sparse domination and weighted estimates for rough bilinear singular integrals
• Weighted inequalities of bilinear rough singular integrals