Approximation of matrix-valued functions via statistical convergence with respect to power series methods

Demirci, KamilYildiz, SevdaCinar, Selin2025-03-232025-03-2320220971-36112367-2501https://doi.org/10.1007/s41478-022-00400-6https://hdl.handle.net/11486/6733In this paper, we deal with an approximation problem for matrix-valued positive linear operators via statistical convergence with respect to the power series method which is a new statistical type convergence. Then, we present an application that shows our theorem is more applicable than the classical one. We also compute the rates of P-statistical convergence of these operators.eninfo:eu-repo/semantics/closedAccessMatrix-valued functionsP-statistical convergenceKorovkin theoremRate of approximationApproximation of matrix-valued functions via statistical convergence with respect to power series methodsArticle3031179119210.1007/s41478-022-00400-62-s2.0-85125949066Q2WOS:000766032900001N/A