On the optimal constants in the two-sided Stechkin inequalities (Q2045837)

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On the optimal constants in the two-sided Stechkin inequalities
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    On the optimal constants in the two-sided Stechkin inequalities (English)
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    16 August 2021
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    The two-sides Stechkin inequalities are often applied in the characterization of approximation spaces which arise from sparse approximation, in interpolation theory and in some problems of nonlinear approximation. There are distinquished the strong discrete, the weak discrete, the strong continuous and weak continuous types of these inequalities. For example, the strong discrete inequality for a sequence \((a_n)\) with \(a_1\geq a_2\geq \cdots\geq 0 \) has the form \[\frac{1}{c_1(q)}\sum _{n=1}^\infty \big (\frac{1}{n}\sum _{k=n}^\infty a_k^q)^{\frac{1}{q}}\leq \sum _{n=1}^\infty a_n\leq C_1(q)\sum _{n=1}^\infty \big (\frac{1}{n}\sum _{k=n}^\infty a_k^q)^{\frac{1}{q}},\] where the constants \(c_1(q)\) and \(C_1(q)\) are depended only on \(q\), \(1\leq q\leq\infty\). The values of constants in these inequalities are established which improve the results previously known in literature. In the weak discrete case the optimal values of constants are established.
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    approximation space
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    Marcinkiewicz interpolation theorem
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    sparse approximation
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    Stechkin inequality
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    optimal constants
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