Multivariate weighted kantorovich operators
Author(s) -
Ana Maria Acu,
Laura Hodis,
Ioan Raşa
Publication year - 2020
Publication title -
mathematical foundations of computing
Language(s) - English
Resource type - Journals
ISSN - 2577-8838
DOI - 10.3934/mfc.2020009
Subject(s) - mathematics , hypercube , ergodic theory , limit (mathematics) , iterated function , operator theory , integrable system , measure (data warehouse) , pure mathematics , discrete mathematics , lebesgue measure , lebesgue integration , mathematical analysis , computer science , database
Recently, some weighted Durrmeyer type operators were used as research tools in Learning Theory. In this paper we introduce a class of multidimensional weighted Kantorovich operators \begin{document}$ K_n $\end{document} on \begin{document}$ C(Q_d) $\end{document} where \begin{document}$ Q_d $\end{document} is the \begin{document}$ d $\end{document} -dimensional hypercube \begin{document}$ [0,1]^d $\end{document} . We show that each \begin{document}$ K_n $\end{document} has a unique invariant probability measure and determine this measure. Then, using results from approximation theory and the theory of ergodic operators, we find the limit of the iterates of \begin{document}$ K_n $\end{document} and give rates of convergence of the iterates toward the limit. Finally, we show that some Kantorovich type operators previously investigated in literature fall into the class of operators introduced in our paper. Other properties and applications, involving Learning Theory, will be presented in a forthcoming paper, where we will consider also operators on spaces of Lebesgue integrable functions on the hypercube \begin{document}$ Q_d $\end{document} .
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