On two-weight norm estimates for multilinear fractional maximal function
Benoit F. Sehba

TL;DR
This paper establishes two-weight norm estimates and Sawyer-type characterizations for the multilinear fractional maximal function in the upper triangle case, extending classical embedding techniques.
Contribution
It introduces new Sawyer-type characterizations and two-weight norm estimates for the multilinear fractional maximal function, utilizing an extended Carleson Embedding approach.
Findings
Derived Sawyer-type characterizations for the operator
Established two-weight norm estimates in the upper triangle case
Extended Carleson Embedding techniques for this context
Abstract
We prove some Sawyer-type characterizations for multilinear fractional maximal function for the upper triangle case. We also provide some two-weight norm estimates for this operator. As one of the main tools, we use an extension of the usual Carleson Embedding that is an analogue of the P. L. Duren extension of the Carleson Embedding for measures.
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.
