2013
DOI: 10.2478/s11533-013-0288-7
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Abstract Korovkin-type theorems in modular spaces and applications

Abstract: Abstract:We prove some versions of abstract Korovkin-type theorems in modular function spaces, with respect to filter convergence for linear positive operators, by considering several kinds of test functions. We give some results with respect to an axiomatic convergence, including almost convergence. An extension to non positive operators is also studied. Finally, we give some examples and applications to moment and bivariate Kantorovich-type operators, showing that our results are proper extensions of the cor… Show more

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Cited by 31 publications
(45 citation statements)
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“…In ( [17], [19]) there are some positive answers. Following this approach, we give some positive answers also  for all , i j   .…”
Section: An Extension To Non-positive Operatorsmentioning
confidence: 99%
See 1 more Smart Citation
“…In ( [17], [19]) there are some positive answers. Following this approach, we give some positive answers also  for all , i j   .…”
Section: An Extension To Non-positive Operatorsmentioning
confidence: 99%
“…"Sevda Yıldız Korovkin theorem via statistical e-modular convergence of double sequences…" [17]). Now, we can give our main theorem of this paper.…”
Section: Korovkin Type Approximation Via Statistical E-convergencementioning
confidence: 99%
“…We begin with giving our axiomatic approach, which deals with abstract convergence with respect to filters, without using necessarily nets. For a literature about these topics, see, for instance, [16,17,19,[21][22][23][24] and their bibliographies. Definition 1.…”
Section: Assumptions and Examplesmentioning
confidence: 99%
“…Many other versions of the Korovkin theorem have been studied by several authors. Likewise, Bardaro et al [6] studied some version of abstract Korovkin type theorem on modular spaces with respect to the filter convergence on positive linear operators. Mursaleen and Mohiuddine [20] proved the Korovkin type approximation theorem with respect to almost convergence and statistical convergence by using the test functions {1, e −x , e −2x }.…”
Section: Introductionmentioning
confidence: 99%