Rough Convergence for Generalized Difference Sequences by a Compact Operator in Probabilistic \(n\)-Normed Spaces

Using compact operator in probabilistic \(n\)-normed spaces, we develop and investigate the notion of rough convergence for generalized difference sequences. In relation to rough convergence in probabilistic \(n\)-normed spaces, certain fundamental conclusions regarding the concept of rough limit points for a difference sequence are defined.

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Journal
Communications in Mathematics and Applications
Published
2024-12-31
DOI
https://doi.org/10.26713/cma.v15i5.2836
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
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article

Rough Convergence for Generalized Difference Sequences by a Compact Operator in Probabilistic \(n\)-Normed Spaces

Meenakshi Chawla, Manpreet Kaur
Communications in Mathematics and Applications
Approximation Theory and Sequence Spaces
article

Rough Convergence for Generalized Difference Sequences by a Compact Operator in Probabilistic \(n\)-Normed Spaces

Meenakshi Chawla, Manpreet Kaur
article en

Abstract

Using compact operator in probabilistic \(n\)-normed spaces, we develop and investigate the notion of rough convergence for generalized difference sequences. In relation to rough convergence in probabilistic \(n\)-normed spaces, certain fundamental conclusions regarding the concept of rough limit points for a difference sequence are defined.

Communications in Mathematics and ApplicationsVol. 15(5)
Chandigarh University (IN), Punjab Engineering College (IN)
Reduced inequalities
Openalex Percentile: Top 72%
Approximation Theory and Sequence Spaces
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