Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/10953/3181
Título: | Approximation rate and saturation under generalized convergence |
Autoría: | Garrancho, Pedro Martínez-Sánchez, Francisco-Javier Cárdenas-Morales, Daniel |
Resumen: | In this paper we prove a quantitative result about the convergence of sequences of functions de ned from linear operators. The notion of conver- gence used here is the one given in [8]. The operators will be assumed to satisfy a shape preserving property associated with certain generalized deriv- ative. We also study the saturation class, from the asymptotic condition that the sequence of operators ful lls. Finally, as applications, we show how the notion of weighted g-statistical convergence, recently studied by A. Adem and M. Altinok [3], can be moved to the setting of approximation theory. Besides, we give a non standard example that shows the applicability of the results. |
Palabras clave: | Korovkin-type results Generalized convergence Saturation class |
Fecha: | feb-2024 |
Patrocinador: | This work is partially supported by the Spanish government Research Project PGC2018-097621-B-I00, and by Junta de Andalucía Research Group FQM-0178. |
Editorial: | American Institute of Mathematical Sciences |
Citación: | P. Garrancho, F.-J. Martínez-Sánchez, D. Cárdenas-Morales, Approximation rate and saturation under generalized convergence, Mathematical Foundations of Computing 2024, Volume 7, Issue 1: 148-157. |
Aparece en las colecciones: | DM-Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
RUJA.pdf | accepted version | 318,72 kB | Adobe PDF | Visualizar/Abrir |
Este ítem está protegido por copyright original |
Los ítems de RUJA están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.