Weak statistical convergence and weak filter convergence for unbounded sequences

被引:27
|
作者
Kadets, Vladimir [1 ]
Leonov, Alexander [1 ]
Orhan, Cihan [2 ]
机构
[1] Kharkov Natl Univ, Dept Mech & Math, UA-61077 Kharkov, Ukraine
[2] Ankara Univ, Fac Sci, Dept Math, TR-06100 Ankara, Turkey
关键词
Banach space; Weak topology; Filter; Statistical convergence; IDEALS;
D O I
10.1016/j.jmaa.2010.05.031
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
For every weakly statistically convergent sequence (x(n)) with increasing norms in a Hilbert space we prove that sup(n) parallel to x(n)parallel to/root n < infinity This estimate is sharp We study analogous problem for sonic other types of weak filter convergence. in particular for the Erdos-Ulam filters, analytical P-filters and F-sigma filters We present also a refinement of the recent Aron-Garcia-Maestre result on weakly dense sequences that tend to infinity in norm (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:414 / 424
页数:11
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