Approximation for periodic functions via weighted statistical convergence

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Korovkin type approximation theorems are useful tools to check whether a given sequence (Ln)n⩾1 of positive linear operators on C[0,1] of all continuous functions on the real interval [0,1] is an approximation process. That is, these theorems exhibit a variety of test functions which assure that the approximation property holds on the whole space if it holds for them. Such a property was discovered by Korovkin in 1953 for the functions 1,x and x2 in the space C[0,1] as well as for the functions 1, cos and sin in the space of all continuous 2π-periodic functions on the real line. In this paper, we use the notion of weighted statistical convergence to prove the Korovkin approximation theorem for the functions 1, cos and sin in the space of all continuous 2π-periodic functions on the real line and show that our result is stronger. We also study the rate of weighted statistical convergence.

论文关键词:Density,Statistical convergence,Weighted statistical convergence,Positive linear operator,Korovkin type approximation theorem

论文评审过程:Available online 22 March 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2013.02.024