University of Göttingen - Institute for Numerical and Applied Mathematics
Research group for Mathematical Signal and Image Processing


Approximation properties of interpolation and quasi-interpolation operators

(2018-2021)

DFG project KO 5804/1
Description of the project
Interpolation and quasi-interpolation are among the most important mathematical methods used in many branches of science and engineering. They play a crucial role as a connecting link between continuous-time and discrete-time signals. For proper application of interpolation and quasi-interpolation operators, it is very important to know the quality of approximation of functions by such operators in various settings. The main goal of this project is to study approximation properties of several classes of interpolation and quasi-interpolation operators in various function spaces including weighted Lp spaces, Sobolev spaces, Lipschitz spaces, and other important spaces of functions defined on the multivariate Euclidean space, torus, and hypercube. In particular, we plan to obtain a series of new error estimates for interpolation and quasi-interpolation operators by developing a unified approach based on Fourier transform techniques. The main attention in our research will be drawn to the development of various measures of smoothness that depending on the tasks considered (type of the operator and the function space) will provide full and adequate information about the quality of approximation of a given function by the corresponding operator. In particular, we are interested in studying properties of such objects of harmonic analysis and approximation theory as the Lebesgue constants of interpolation processes, the Fourier transform, different measures of smoothness (special moduli of smoothness and K-functionals). Special attention will be paid in our research to the anisotropic nature of the studied objects.


Principal investigator: Yurii Kolomoitsev
Staff: Tetiana Lomako

Corresponding publications
Sharp Lp-error estimates for sampling operators
Yurii Kolomoitsev, Tetiana Lomako
J. Approx. Theory, Available online 26 June 2023, 105941, 2023, preprint available at arXiv.
Sparse grid approximation in weighted Wiener spaces
Yurii Kolomoitsev, Tetiana Lomako, Sergey Tikhonov
J. Fourier Anal. Appl. 29, 19, 2023, preprint available at arXiv.
Uniform approximation by multivariate quasi-projection operators
Yurii Kolomoitsev, Maria Skopina
Anal. Math. Phys. 12, no. 2, Paper No. 68, 2022, preprint available at arXiv.
Approximation by quasi-interpolation operators and Smolyak's algorithm
Yurii Kolomoitsev
J. of Complexity 69, 101601, 2022, preprint available at arXiv.
Approximation properties of periodic multivariate quasi-interpolation operators
Yurii Kolomoitsev, Jürgen Prestin
J. Approx. Theory 270, 105631, 2021, preprint available at arXiv.
Asymptotics of the Lebesgue constants for bivariate approximation processes
Yurii Kolomoitsev, Tetiana Lomako
Appl. Math. Comput. 403, 126192, 2021, preprint available at arXiv.
Asymptotics of the Lebesgue constants for a d-dimensional simplex
Yurii Kolomoitsev, Elijah Liflyand
Proc. Amer. Math. Soc. 149, 2911-2926, 2021, preprint available at arXiv.
Quasi-projection operators in the weighted Lp spaces
Yurii Kolomoitsev, Maria Skopina
Appl. Comput. Harmon. Anal. 52, 165-197, 2021, preprint available at arXiv.
Approximation by multivariate quasi-projection operators and Fourier multipliers
Yurii Kolomoitsev, Maria Skopina
Appl. Math. Comput. 400, 125955, 2021, preprint available at arXiv.
Smoothness of functions vs. smoothness of approximation processes
Yurii Kolomoitsev, Sergey Tikhonov
Bull. Math. Sci. 10, no. 3, 2030002, 2020, preprint available at arXiv.
Approximation by periodic multivariate quasi-projection operators
Yurii Kolomoitsev, Aleksandr Krivoshein, Maria Skopina
J. Math. Anal. Appl. 489, no. 2, 124192, 2020, preprint available at arXiv.
Properties of moduli of smoothness in Lp(Rd)
Yurii Kolomoitsev, Sergey Tikhonov
J. Approx. Theory 257, 105423, 2020, preprint available at arXiv.
Approximation by sampling-type operators in Lp-spaces
Yurii Kolomoitsev, Maria Skopina
Math. Methods Appl. Sciences 43, no. 16, 9358-9374, 2020, preprint available at arXiv.



Research Group for Mathematical Signal and Image Processing

Institute for Numerical and Applied Mathematics
Lotzestr. 16-18
37083 Göttingen