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 -minimization problem can be obtained using unique solution to P-Type -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}
}
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