A sparse domination principle for rough singular integrals
arXiv:1612.09201 · doi:10.2140/apde.2017.10.1255
Abstract
We prove that bilinear forms associated to the rough homogeneous singular integrals on , where the angular part has vanishing average and , and to Bochner-Riesz means at the critical index in are dominated by sparse forms involving averages. This domination is stronger than the weak- estimates for and for Bochner-Riesz means, respectively due to Seeger and Christ. Furthermore, our domination theorems entail as a corollary new sharp quantitative -weighted estimates for Bochner-Riesz means and for homogeneous singular integrals with unbounded angular part, extending previous results of Hytönen-Roncal-Tapiola for . Our results follow from a new abstract sparse domination principle which does not rely on weak endpoint estimates for maximal truncations.
29 pages. References updated. Final version to appear on Analysis&PDE
References in corpus (8)
- On pointwise estimates involving sparse operators
- The Sparse T1 Theorem
- Sparse bilinear forms for Bochner Riesz multipliers and applications
- Sparse domination on non-homogeneous spaces with an application to weights
- Sparse Bounds for Oscillatory and Random Singular Integrals
- Uniform sparse domination of singular integrals via dyadic shifts
- theory of weights for rough homogeneous singular integrals and commutators
- Weighted bounds for multilinear operators with non-smooth kernels
Cited by in corpus (38)
- Domination of multilinear singular integrals by positive sparse forms
- Weighted norm inequalities for rough singular integral operators
- Sparse domination theorem for multilinear singular integral operators with -Hörmander condition
- bounds for spherical maximal operators
- Dyadic harmonic analysis and weighted inequalities: the sparse revolution
- A class of multilinear bounded oscillation operators on measure spaces and applications
- Sparse Domination for Bi-Parameter Operators Using Square Functions
- Sparse Bounds for Bochner-Riesz Multipliers
- Operator-free sparse domination
- Multi-scale sparse domination
- Sparse domination for the lattice Hardy-Littlewood maximal operator
- A metric approach to sparse domination
- Sparse bounds for maximal rough singular integrals via the Fourier transform
- Weighted Estimates for Rough Bilinear Singular Integrals via Sparse Domination
- Sparse domination implies vector-valued sparse domination
- Improved and related estimates for commutators of rough singular integrals
- Quadratic sparse domination and Weighted Estimates for non-integral Square Functions
- Bekollé-Bonami estimates on some pseudoconvex domains
- Sharp reverse Hölder inequality for weights and applications
- Endpoint sparse bounds for Walsh-Fourier multipliers of Marcinkiewicz type
- Sparse bounds for pseudo-multipliers associated to Grushin operators, I
- Weighted estimates for Bilinear Bochner-Riesz means at the critical index
- Extrapolation and Factorization
- Sparse domination and weighted estimates for rough bilinear singular integrals
- Initial bounds for multilinear operators
- Quantitative weighted estimates for rough singular integrals on homogeneous groups
- Quantitative weighted bounds for the -variation of singular integrals with rough kernels
- Weak and strong type - estimates for sparsely dominated operators
- Endpoint sparse domination for classes of multiplier transformations
- A sparse domination for the Marcinkiewicz integral with rough kernel and applications
- Bilinear Wavelet Representation of Calderón-Zygmund Forms
- estimates and weighted estimates of fractional maximal rough singular integrals on homogeneous groups
- Bochner-Riesz means at the critical index: Weighted and sparse bounds
- Quantitative weighted bounds for Calderón commutator with rough kernel
- Sparse dominations and weighted variation inequalities for singular integrals and commutators
- Borderline Weak--Type Estimates for Sparse Bilinear Forms Involving Maximal Functions
- On the composition for rough singular integral operators
- Some More Sparse Bounds for Rough and Smooth Pseudodifferential Operators