Real-variable theory of matrix-weighted multi-parameter Besov--Triebel--Lizorkin-type spaces
Fan Bu, Yiqun Chen, Tuomas Hyt\"onen, Dachun Yang, Wen Yuan

TL;DR
This paper develops a comprehensive multi-parameter function space theory with matrix weights, extending existing results to the full range of p, and introduces new tools for analyzing boundedness of operators in these spaces.
Contribution
It extends multi-parameter Besov-Triebel-Lizorkin spaces to include p in (0,1], develops matrix-weighted $A_p$ classes for all p, and proves boundedness of key operators using novel methods.
Findings
Extended $A_p$ weights to p in (0,1]
Proved boundedness of matrix-weighted maximal operators for all p
Developed multi-parameter Carleson embedding extension
Abstract
We develop a comprehensive theory for a general class of multi-parameter function spaces of Besov-Triebel-Lizorkin type, with a matrix weight. We prove the equivalence of different quasi-norms, the identification of function and sequence spaces via the -transform, the boundedness of almost diagonal operators and multi-parameter singular integrals under minimal assumptions, molecular and wavelet characterisations, and Sobolev-type embedding theorems. We identify matrix-weighted spaces, Sobolev spaces, and multi-parameter BMO spaces as examples of our general scale of spaces. Thus, our result on the boundedness of multi-parameter singular integrals on these spaces is seen as an extension, with a different method, of a recent theorem of Domelevo et al. [J. Math. Anal. Appl. 2024] on matrix-weighted spaces. For this theory, we develop several tools of independent…
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 · Holomorphic and Operator Theory · Mathematical Analysis and Transform Methods
