Comparison of Strong and Statistical Convergences in Some Families of Summability Methods

被引:0
|
作者
Seletski, Anna [1 ]
Tali, Anne [2 ]
机构
[1] Tallinn Univ Technol, Inst Cybernet, EE-12618 Tallinn, Estonia
[2] Tallinn Univ, Inst Math & Nat Sci, EE-10120 Tallinn, Estonia
关键词
Summability method; strong summability method; generalized Norlund methods; Cesaro methods; Euler-Knopp methods; convexity theorem; statistical convergence;
D O I
10.2298/FIL1406225S
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The paper deals with certain families {A(alpha)} (alpha > alpha(0)) of summability methods. Strong and statistical convergences in Cesaro- and Euler-Knopp-type families {A(alpha)} are investigated. Convergence of a sequence x = (x(n)) with respect to the different strong summability methods [A(alpha+1)](t) (with positive exponents t = (t(n))) in a family {A(alpha)} is compared, and characterized with the help of statistical convergence. A convexity theorem for comparison of three strong summability methods [A(gamma+1)](t), [A(delta+1)](t) and [A(beta+1)](t) (beta > delta > gamma > alpha(0)) in a Cesaro-type family {A(alpha)} is proved. This theorem can be seen as a generalization of some convexity theorems known earlier. Interrelations between strong convergence and certain statistical convergence are also studied and described with the help of theorems proved here. All the results can be applied to the families of generalized Norlund methods (N, p(n)(alpha), q(n)).
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页码:1225 / 1236
页数:12
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