On the divergence of greedy algorithms with respect to Walsh subsystems in $L$
Sergo A. Episkoposian

TL;DR
This paper demonstrates that there exists an $L^1$ function for which a greedy algorithm based on Walsh subsystems fails to converge in $L^1$ norm, showing limitations of Walsh bases in greedy approximation.
Contribution
It proves the existence of an $L^1$ function where Walsh-based greedy algorithms do not converge, highlighting a divergence in greedy approximation methods.
Findings
Existence of a non-converging $L^1$ function for Walsh greedy algorithms
Walsh subsystem is not a quasi-greedy basis in $L^1$
Limitations of Walsh bases in greedy approximation methods
Abstract
In this paper we prove that there exists a function which belongs to such that a greedy algorithm with regard to the Walsh subsystem does not converge to in norm, i.e. the Walsh subsystem is not a quasi-greedy basis in its linear span in .
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
TopicsFunctional Equations Stability Results · Mathematical Analysis and Transform Methods · Advanced Banach Space Theory
