$A_p$-$A_\infty$ estimates for multilinear maximal and sparse operators
Pavel Zorin-Kranich

TL;DR
This paper establishes new mixed $A_p$--$A_$ estimates for a broad class of multilinear maximal and sparse operators, enhancing understanding of their control over various classical operators in harmonic analysis.
Contribution
It introduces a multilinear version of the Fujii--Wilson $A_$ characteristic, enabling improved mixed characteristic estimates for multilinear operators.
Findings
Derived mixed $A_p$--$A_$ estimates for multilinear operators.
Unified control over Calderf3n--Zygmund operators, square functions, and fractional integrals.
Recovered best known estimates for dependent weights as special cases.
Abstract
We obtain mixed -- estimates for a large family of multilinear maximal and sparse operators. Operators from this family are known to control for instance multilinear Calder\'on--Zygmund operators, square functions, fractional integrals, and the bilinear Hilbert transform. Our results feature a new multilinear version of the Fujii--Wilson characteristic that allows us to recover the best known estimates in terms of the characteristic for dependent weights as a special case of the mixed characteristic estimates for general tuples of weights.
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.
