Metric entropy and sparse linear approximation of ℓ q-hulls for 0 < q ≤ 1

Fuchang Gao, Ching Kang Ing, Yuhong Yang

Research output: Contribution to journalArticle

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Abstract

Consider ℓ q-hulls, 0 < q ≤ 1, from a dictionary of M functions in L p space for 1 ≤ p < ∞. Their precise metric entropy orders are derived. Sparse linear approximation bounds are obtained to characterize the number of terms needed to achieve accurate approximation of the best function in a ℓ q-hull that is closest to a target function. Furthermore, in the special case of p = 2, it is shown that a weak orthogonal greedy algorithm achieves the optimal approximation under an additional condition.

Original languageEnglish (US)
Pages (from-to)42-55
Number of pages14
JournalJournal of Approximation Theory
Volume166
Issue number1
DOIs
StatePublished - Feb 2013

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