Open AccessOn strongly deferred Cesaro summability and deferred statistical convergence of the sequences
Author(s) -
Mehmet Küçükaslan,
Mujde Yılmazturk
Publication year - 2015
Publication title -
bitlis eren university journal of science and technology
Language(s) - English
Resource type - Journals
ISSN - 2146-7706
DOI - 10.17678/beuscitech.47136
Subject(s) - sequence (biology) , convergence (economics) , mathematics , bounded function , inverse , limit of a sequence , time sequence , algorithm , mathematical analysis , economics , limit (mathematics) , geometry , genetics , biology , economic growth
In this paper, it is shown that, if the sequence is strongly deferred Cesaro summable for any , then it must be deferred statistically convergent and the inverse is also satisfied when the sequence is bounded.
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