English

Functional Donoho-Elad-Gribonval-Nielsen-Fuchs Sparsity Theorem

Functional Analysis 2025-10-14 v1 Information Theory math.IT Optimization and Control

Abstract

Celebrated breakthrough sparsity theorem obtained independently by Donoho and Elad \textit{[Proc. Natl. Acad. Sci. USA, 2003]} and Gribonval and Nielsen \textit{[IEEE Trans. Inform. Theory, 2003]} and Fuchs \textit{[IEEE Trans. Inform. Theory, 2004]} says that unique sparse solution to NP-Hard 0\ell_0-minimization problem can be obtained using unique solution to P-Type 1\ell_1-minimization problem. In this paper, we extend their result to abstract Banach spaces using 1-approximate Schauder frames. We notice that the `normalized' condition for Hilbert spaces can be generalized to a larger extent when we consider Banach spaces.

Cite

@article{arxiv.2510.09609,
  title  = {Functional Donoho-Elad-Gribonval-Nielsen-Fuchs Sparsity Theorem},
  author = {K. Mahesh Krishna},
  journal= {arXiv preprint arXiv:2510.09609},
  year   = {2025}
}

Comments

8 Pages, 0 Figures

R2 v1 2026-07-01T06:29:54.449Z