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arxiv: 1701.03460 · v1 · pith:ULW7SLWNnew · submitted 2017-01-12 · 🧮 math.FA · cs.NA· math.NA

Injectivity and weak*-to-weak continuity suffice for convergence rates in ell¹-regularization

classification 🧮 math.FA cs.NAmath.NA
keywords convergenceratesregularizationto-weakweakalwaysassumptionsautomatically
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We show that the convergence rate of $\ell^1$-regularization for linear ill-posed equations is always $O(\delta)$ if the exact solution is sparse and if the considered operator is injective and weak*-to-weak continuous. Under the same assumptions convergence rates in case of non-sparse solutions are proven. The results base on the fact that certain source-type conditions used in the literature for proving convergence rates are automatically satisfied.

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