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Mathematical Foundations of Computing
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zbMATH Open
Article . 2020
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Mathematical Foundations of Computing
Article . 2020 . Peer-reviewed
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Article . 2022
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Multivariate weighted kantorovich operators

Multivariate weighted Kantorovich operators
Authors: Ana Maria Acu; Laura Hodis; Ioan Rasa;

Multivariate weighted kantorovich operators

Abstract

Herein, the authors introduce a class of multidimensional weighted Kantorovich operators \(K_n\), \(n\geq 1\), whose definition is given on the space of continuous functions \(C(Q_{d})\) (where \(Q_d\) is the \(d\)-dimensional hypercube \([0,1]^{d}\), \(d\geq 1\)), and it involves the well-known Bernstein polynomials. In this setting, they prove the existence of a unique probability measure on \(Q_d\) which is invariant with respect to \(K_n\), and they determine such a measure. Furthermore, the authors give a convergence result of the iterates \(K_n f\) to \(f\), uniformly on \(C(Q_d)\). Finally, they point out that the above class \(K_n\) is a generalization of some Kantotovich type operators, consequently their approach is unifying for the study of approximation results for \(K_n\).

Keywords

Lipschitz (Hölder) classes, Invariant measures for infinite-dimensional dissipative dynamical systems, Approximation by positive operators, Inequalities involving derivatives and differential and integral operators, multidimensional Kantorovich operators, Bernstein polynomials, invariant probability measure, Spaces of linear operators; topological tensor products; approximation properties, iterates of operators, approximation process

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
gold