Rough Lacunary Ideal Statistical Convergence of Double Sequences on Random n‐Normed Spaces
Copyright policy )Rough Lacunary Ideal Statistical Convergence of Double Sequences on Random n‐Normed Spaces
ABSTRACTThe article explains and analyzes the conception of rough lacunary ideal statistical convergence on random ‐normed spaces for double sequences. The geometrical and topological results of rough lacunary ideal statistical limit points, rough lacunary ideal cluster points, and rough lacunary ideal boundedness are considered on these spaces. Through an exploration of properties associated with rough lacunary ideal convergence, equivalent conditions establish for set of lacunary ideal statistical limit points in the context of rough lacunary ideal statistically convergent double sequences.
- University of Sierra Leone Sierra Leone
- Rajasthan Technical University India
- Sohar University Oman
- Rayat Bahra University India
- Koneru Lakshmaiah Education Foundation India
rough statistical convergence, Functional analysis in probabilistic metric linear spaces, ideal statistical convergence, Convergence and divergence of series and sequences, lacunary sequence, Ideal and statistical convergence, random \(n\)-normed space
rough statistical convergence, Functional analysis in probabilistic metric linear spaces, ideal statistical convergence, Convergence and divergence of series and sequences, lacunary sequence, Ideal and statistical convergence, random \(n\)-normed space
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