On the sharpness of embeddings of H\"older spaces into Gaussian Besov spaces
Stefan Geiss

TL;DR
This paper investigates the sharpness of embeddings of H"older spaces into Gaussian Besov spaces by constructing extremal subspaces using Rademacher randomization, confirming the optimality of these embeddings.
Contribution
It introduces a novel construction of extremal subspaces via Rademacher variables to demonstrate the sharpness of embeddings between H"older and Gaussian Besov spaces.
Findings
Constructed extremal subspaces isometric to ll_q^{( heta)}.
Verified extremal property for rescaled functions with periodicity.
Confirmed sharpness of natural embeddings from Hlder to Gaussian Besov spaces.
Abstract
For an interpolation pair of Banach spaces with we use vectors that satisfy an extremal property with respect to the - and -functional to construct sub-spaces that are isometric to . The construction is based on a randomisation using independent Rademacher variables. We verify that systems obtained by re-scaling a function with a certain periodicity property share this extreme property. This implies the sharpness of natural embeddings of H\"older spaces obtained by the real interpolation into the corresponding Gaussian Besov 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 · Mathematical Analysis and Transform Methods
