ROUGH IDEAL CONVERGENT SEQUENCE SPACES OF BOUNDED LINEAR OPERATORS
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Publication:6123860
DOI10.56827/seajmms.2023.1902.22OpenAlexW4390593725MaRDI QIDQ6123860
Publication date: 8 April 2024
Published in: South East Asian Journal of Mathematics and Mathematical Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.56827/seajmms.2023.1902.22
Convergence and divergence of series and sequences (40A05) Ideal and statistical convergence (40A35) Summability methods using statistical convergence (40G15)
Cites Work
- On rough statistical convergence of double sequences in normed linear spaces
- On lacunary ideal convergence in random \(n\)-normed space
- Ideal convergence characterization of the completion of linear \(n\)-normed spaces
- Rough \(\mathcal I\)-convergence
- Some approximation theorems via statistical convergence.
- Lacunary statistical summability
- On \(\mathcal I\)-Cauchy sequences
- Rough Convergence in Metric Spaces
- Convergence of iterates of linear operators and the Kelisky–Rivlin type theorems
- The Integrability of Certain Functions and Related Summability Methods
- The Rough Limit Set and the Core of a Real Sequence
- Rough Statistical Convergence
- A Korovkin type approximation theorems via $$\mathcal{I}$$ -convergence
- Rough Convergence in Infinite Dimensional Normed Spaces
- ROUGH CONTINUITY OF LINEAR OPERATORS
- Rough statistical cluster points
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