Approximation of analytic functions in Korobov spaces
Josef Dick, Peter Kritzer, Friedrich Pillichshammer, Henryk, Wo\'zniakowski

TL;DR
This paper investigates the exponential convergence rates of multivariate approximation in Korobov spaces of analytic periodic functions, analyzing how different classes of algorithms and tractability notions affect approximation efficiency.
Contribution
It provides new conditions under which exponential and uniform exponential convergence, along with various tractability properties, hold for multivariate approximation in Korobov spaces.
Findings
Exponential convergence (EXP) and uniform exponential convergence (UEXP) are characterized.
Conditions for weak, polynomial, and strong polynomial tractability are established.
Results are consistent across all linear and standard information classes.
Abstract
We study multivariate -approximation for a weighted Korobov space of analytic periodic functions for which the Fourier coefficients decay exponentially fast. The weights are defined, in particular, in terms of two sequences and of numbers no less than one. Let be the minimal worst-case error of all algorithms that use information functionals from the class in the -variate case. We consider two classes : the class consists of all linear functionals and the class consists of only function valuations. We study (EXP) exponential convergence. This means that where , and $C,C_1,p:\mathbb{N} \rightarrow…
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Taxonomy
TopicsMathematical Approximation and Integration · Approximation Theory and Sequence Spaces · Advanced Computational Techniques in Science and Engineering
