Voronovskaya estimates for convolution operators
Title | Voronovskaya estimates for convolution operators |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Draganov, BR |
Journal | Dolomites Research Notes on Approximation |
Volume | 16 |
Issue | 2 |
Pagination | 38-51 |
Date Published | 01/2023 |
Publisher | Padova University Press |
Place Published | Padova, IT |
ISSN Number | 2035-6803 |
Abstract | We present a general method for establishing quantitative Voronovskaya-type estimates of convolution operators on homogeneous Banach spaces of periodic functions of one real variable or of functions on the real line. The method is based on properties of the Fourier transform of the kernel of the operator. We illustrate the elegance and the efficiency of this approach on two convolution operators—the Riesz typical means, and, in particular, the Fejér operator, and the generalized singular integral of Picard. A noteworthy feature of the former is the fact that, though the operator itself is saturated, the convergence in its Voronovskaya-type estimate can be of an arbitrary fast power-type provided that the function is smooth enough in a certain sense. |
URL | https://drna.padovauniversitypress.it/2023/2/4 |
DOI | 10.14658/pupj-drna-2023-2-4 |