Sparse domination for rough multilinear singular integrals
Binwei Dan, Qingying Xue

TL;DR
This paper proves that rough multilinear singular integrals can be dominated by sparse operators, leading to new weighted norm inequalities, advancing understanding of such operators with minimal smoothness assumptions.
Contribution
It establishes sparse domination for rough multilinear singular integrals with kernels in L^r, enabling new weighted inequalities and extending prior smooth kernel results.
Findings
Sparse domination holds for rough kernels in L^r
Derived quantitative weighted norm inequalities
Extended the theory to less smooth kernels
Abstract
Let be a function on , homogeneous of degree zero, and satisfy a cancellation condition on the unit sphere . In this paper, we show that the multilinear singular integral operator \[ \mathcal{T}_{\Omega}(f_1, \ldots, f_m)(x) := \mathrm{p.v.} \int_{\mathbb{R}^{mn}} \frac{\Omega(x - y_1, \ldots, x - y_m)}{|x - \vec{y}|^{mn}} \prod_{i=1}^m f_i(y_i) \, d\vec{y}, \] associated with a rough kernel , , admits a sparse domination, where and . As a consequence, we derive some {quantitative weighted norm inequalities} for .
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.
