2015
DOI: 10.1155/2015/160401
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Korovkin-Type Theorems for ModularΨ-A-Statistical Convergence

Abstract: We deal with a new type of statistical convergence for double sequences, calledΨ-A-statistical convergence, and we prove a Korovkin-type approximation theorem with respect to this type of convergence in modular spaces. Finally, we give some application to moment-type operators in Orlicz spaces.

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Cited by 20 publications
(29 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%
“…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%
“…In this section, we relax the positivity condition of linear operators in the Korovkin theorems. In [1,3,4] there are some positive answers. Following this approach, we give some positive answers for statistical relative modular convergence and prove a Korovkin type approximation theorem.…”
Section: An Extension To Non-positive Operatorsmentioning
confidence: 99%
“…Many researchers studied some versions of this theorem in different spaces and Bardaro and Mantellini studied this theorem on modular spaces which is the natural generalization of L p (p > 0), Orlicz, Lorentz, and Köthe spaces ( [5]) and so on( [7,8]). In addition, general versions of the Korovkin theorem were studied in which a various kind of convergence methods is used, particularly statistical convergence methods( [2,3,14,22]). More recently, Demirci and Orhan ([9]) have introduced statistical relative uniform convergence of single sequences by using the notions of the natural density and the relative uniform convergence.…”
Section: Introductionmentioning
confidence: 99%
“…There have been also several studies on Korovkin-type theorems related to convergence associated with summability methods, statistical and filter convergence (see e.g., [5,8,9,29,[32][33][34]49]).…”
Section: Introductionmentioning
confidence: 99%