Wave-front sets of Banach function types
Sandro Coriasco, Karoline Johansson, Joachim Toft

TL;DR
This paper extends the concept of wave-front sets to distributions associated with Fourier images of weighted translation invariant Banach function spaces, and demonstrates that pseudo-differential operators maintain their usual mapping properties within this framework.
Contribution
It introduces a new wave-front set concept for distributions linked to Fourier images of Banach function spaces and proves related mapping properties for pseudo-differential operators.
Findings
Wave-front sets are generalized to Banach function space contexts.
Pseudo-differential operators preserve mapping properties in this new setting.
Abstract
We introduce the wave-front set for distributions with respect to Fourier images of weighted translation invariant Banach function spaces. We prove that usual mapping properties for pseudo-differential operators hold in the context of such wave-front sets.
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
TopicsMathematical Analysis and Transform Methods · Algebraic and Geometric Analysis · Advanced Numerical Analysis Techniques
