Korovkin type aproximation theorem through statistical lacunary summability

被引:0
作者
Mursaleen, M. [1 ]
Ahmad, R. [1 ]
机构
[1] Aligarh Muslim Univ, Dept Math, Aligarh 101002, Uttar Pradesh, India
来源
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A-SCIENCE | 2013年 / 37卷 / A2期
关键词
Statistical convergence; statistical lacunary summability; positive linear operator; Korovkin type approximation theorem; APPROXIMATION THEOREMS; DOUBLE SEQUENCES; A-SUMMABILITY; VARIABLES; CONVERGENCE;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Korovkin type approximation theorems are useful tools to check whether a given sequence (L-n)(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 x(2) in the space C[0, 1] as well as for the functions l, cos and sin in the space of all continuous 2 pi-periodic functions on the real line. In this paper, we use the notion of statistical lacunary summability to improve the result of [Ann. Univ. Ferrara, 57(2) (2011) 373-381] by using the test functions 1, e(-x), e(-2x) in the place of 1, x and x(2). We apply the classical Baskakov operator to construct an example in support of our main result.
引用
收藏
页码:99 / 102
页数:4
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