Demonstratio Mathematica (Jul 2022)
Sharp sufficient condition for the convergence of greedy expansions with errors in coefficient computation
Abstract
Generalized approximate weak greedy algorithms (gAWGAs) were introduced by Galatenko and Livshits as a generalization of approximate weak greedy algorithms, which, in turn, generalize weak greedy algorithm and thus pure greedy algorithm. We consider a narrower case of gAWGA in which only a sequence of absolute errors {ξn}n=1∞{\left\{{\xi }_{n}\right\}}_{n=1}^{\infty } is nonzero. In this case sufficient condition for a convergence of a gAWGA expansion to an expanded element obtained by Galatenko and Livshits can be written as ∑n=1∞ξn2<∞{\sum }_{n=1}^{\infty }{\xi }_{n}^{2}\lt \infty . In the present article, we relax this condition and show that the convergence is guaranteed for ξn=o1n{\xi }_{n}=o\left(\frac{1}{\sqrt{n}}\right). This result is sharp because the convergence may fail to hold for ξn≍1n{\xi }_{n}\hspace{0.33em}\asymp \hspace{0.33em}\frac{1}{\sqrt{n}}.
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