Estimates of approximations by interpolation trigonometric polynomials on the classes of convolutions of high smoothness
A.S. Serdyuk, T.A. Stepaniuk

TL;DR
This paper develops new inequalities for approximating smooth periodic functions using interpolation trigonometric polynomials, linking approximation errors to best approximations of related functions, with asymptotic exactness in certain cases.
Contribution
It introduces interpolation analogues of Lebesgue inequalities for classes of convolutions with high smoothness, providing asymptotically exact bounds for approximation errors.
Findings
Derived interpolation inequalities relating deviation modules to best approximations.
Established asymptotic equalities for pointwise approximation boundaries.
Proved asymptotic exactness when the kernel decay exceeds any power function.
Abstract
We establish interpolation analogues of Lebesgue type inequalities on the sets of -periodic functions , which are representable as convolutions of generating kernel , , , , with functions from . In obtained inequalities for each the modules of deviations of interpolation Lagrange polynomials are estimated via best approximations of functions by trigonometric polynomials in -metrics. When the sequences decrease to zero faster than any power function, the obtained inequalities in many important cases are asymptotically exact. In such cases we also…
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Taxonomy
TopicsMathematical Approximation and Integration · Approximation Theory and Sequence Spaces
