A Variant of Stechkin’s Problem on the Best Approximation of a Fractional Order Differentiation Operator on the Axis

A solution is given to Stechkin’s problem on the best approximation on the real axis of differentiation operators of fractional (more precisely, real) order $$k$$ in the space $$L_{2}$$ by bounded linear operators from the space $$L$$ to the space $$L_{2}$$ on the class of functions whose fractional derivative of order $$n$$ , $$0\leq k<n$$ , is bounded in the space $$L_{2}$$ . An upper estimate is obtained for the best constant in the corresponding Kolmogorov inequality. It is shown that the well-known Stechkin lower estimate for the value of the problem of approximating the differentiation operator via the best constant in the Kolmogorov inequality is strict in this case; in other words, Stechkin’s problem and the Kolmogorov inequality are not consistent.

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Publication Details

Journal
Proceedings of the Steklov Institute of Mathematics
Published
2024-12-01
DOI
https://doi.org/10.1134/s0081543824070022
Primary Topic
Numerical methods in inverse problems
Type
article
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article

A Variant of Stechkin’s Problem on the Best Approximation of a Fractional Order Differentiation Operator on the Axis

В. В. Арестов
Proceedings of the Steklov Institute of Mathematics
Numerical methods in inverse problems
article

A Variant of Stechkin’s Problem on the Best Approximation of a Fractional Order Differentiation Operator on the Axis

В. В. Арестов
article en

Abstract

A solution is given to Stechkin’s problem on the best approximation on the real axis of differentiation operators of fractional (more precisely, real) order $$k$$ in the space $$L_{2}$$ by bounded linear operators from the space $$L$$ to the space $$L_{2}$$ on the class of functions whose fractional derivative of order $$n$$ , $$0\leq k<n$$ , is bounded in the space $$L_{2}$$ . An upper estimate is obtained for the best constant in the corresponding Kolmogorov inequality. It is shown that the well-known Stechkin lower estimate for the value of the problem of approximating the differentiation operator via the best constant in the Kolmogorov inequality is strict in this case; in other words, Stechkin’s problem and the Kolmogorov inequality are not consistent.

Proceedings of the Steklov Institute of MathematicsVol. 327(S1)
Ural Federal University (RU), N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences (RU), Ural Branch of the Russian Academy of Sciences (RU)
Openalex Percentile: Top 58%
Numerical methods in inverse problems
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