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Application of f-lacunary statistical convergence to approximation theorems

The concept of f-lacunary statistical convergence which is, in fact, a generalization of lacunary statistical convergence, has been introduced recently by Bhardwaj and Dhawan (Abstr. Appl. Anal. 2016:9365037, 2016). The main object of this paper is to prove Korovkin type approximation theorems using...

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Detalles Bibliográficos
Autores principales: Bhardwaj, Vinod K, Dhawan, Shweta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208621/
https://www.ncbi.nlm.nih.gov/pubmed/30839767
http://dx.doi.org/10.1186/s13660-018-1871-z
Descripción
Sumario:The concept of f-lacunary statistical convergence which is, in fact, a generalization of lacunary statistical convergence, has been introduced recently by Bhardwaj and Dhawan (Abstr. Appl. Anal. 2016:9365037, 2016). The main object of this paper is to prove Korovkin type approximation theorems using the notion of f-lacunary statistical convergence. A relationship between the newly established Korovkin type approximation theorems via f-lacunary statistical convergence, the classical Korovkin theorems and their lacunary statistical analogs has been studied. A new concept of f-lacunary statistical convergence of degree β ([Formula: see text] ) has also been introduced, and as an application a corresponding Korovkin type theorem is established.