Reconstruction theorem in quasinormed spaces
Pavel Zorin-Kranich

TL;DR
This paper generalizes the Hairer reconstruction theorem to a broader class of function spaces, including Besov and Triebel-Lizorkin spaces with exponents below 1, enhancing the theoretical framework for distribution reconstruction.
Contribution
It extends the reconstruction theorem to new function spaces satisfying translation and scaling, broadening its applicability in analysis.
Findings
Reconstruction theorem now applies to Besov spaces with exponents below 1.
Includes Triebel-Lizorkin spaces in the generalized framework.
Provides theoretical foundation for distribution analysis in broader spaces.
Abstract
We extend the Hairer reconstruction theorem for distributions due to Caravenna and Zambotti (arXiv:2005.09287) to general function spaces satisfying a translation and scaling condition. This includes Besov type spaces with exponents below 1 and Triebel-Lizorkin type spaces.
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 · Stochastic processes and financial applications
