Sharp two-weight inequality for fractional maximal operators
Rodrigo Ba\~nuelos, Adam Os\k{e}kowski

TL;DR
This paper establishes sharp two-weight inequalities for fractional maximal operators on probability spaces with a tree structure, using Bellman functions to connect to Sobolev embedding theorems.
Contribution
It provides the first sharp universal bounds for fractional maximal operators in a general probabilistic setting with arbitrary weights.
Findings
Derived the sharp universal upper bound for the operator norm.
Connected the problem to the classical Sobolev embedding theorem.
Applied the Bellman function method to a new setting.
Abstract
The paper is devoted to two-weight estimates for the fractional maximal operators on general probability spaces equipped with a tree-like structure. For given , we study the sharp universal upper bound for the norm , where is an arbitrary pair of weights satisfying the Sawyer testing condition. The proof is based on the abstract Bellman function method, which reveals an unexpected connection of the above problem with the sharp version of the classical Sobolev imbedding theorem.
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.
Taxonomy
TopicsAdvanced Harmonic Analysis Research · Mathematical Inequalities and Applications · Approximation Theory and Sequence Spaces
