Optimal quadrature errors and sampling numbers for Sobolev spaces with logarithmic perturbation on spheres
Abstract
In this paper, we study optimal quadrature errors, approximation numbers, and sampling numbers in for Sobolev spaces with logarithmic perturbation on the unit sphere in . First we obtain strong equivalences of the approximation numbers for with , which gives a clue to Open problem 3 as posed by Krieg and Vyb\'iral in \cite{KV}. Second, for the optimal quadrature errors for , we use the "fooling" function technique to get lower bounds in the case , and apply Hilbert space structure and Vyb\'iral's theorem about Schur product theory to obtain lower bounds in the case of small smoothness, which confirms the conjecture as posed by Grabner and Stepanyukin in \cite{GS} and solves Open problem 2 in \cite{KV}. Finally, we employ the weighted least squares operators and the least squares quadrature rules to obtain approximation theorems and quadrature errors for with or , which are order optimal.
Keywords
Cite
@article{arxiv.2401.16199,
title = {Optimal quadrature errors and sampling numbers for Sobolev spaces with logarithmic perturbation on spheres},
author = {Jiaxin Geng and Yun Ling and Jiansong Li and Heping Wang},
journal= {arXiv preprint arXiv:2401.16199},
year = {2024}
}
Comments
24 pages