Rough Lacunary Ideal Statistical Convergence of Double Sequences on Random n‐Normed Spaces
ABSTRACT The 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.
Authors
- Jasgurpreet Singh Chohan (ORCID: https://orcid.org/0000-0002-3903-8589)
- Rachit Manchanda (ORCID: https://orcid.org/0000-0002-6098-7279)
- Reena Antal (ORCID: https://orcid.org/0000-0003-2711-246X)
- R. P. Thakur (ORCID: https://orcid.org/0009-0004-4153-5658)
- Nilesh Bhosle (ORCID: https://orcid.org/0000-0002-4517-4261)
- R. Manjunatha (ORCID: https://orcid.org/0000-0001-9256-6666)
- P. Mallikarjuna Rao
- Mohamed Yusuf
- Umesh Bhardwaj
Institutions
- Chandigarh University (IN)
- Jain University (IN)
- Njala University (SL)
- NIMS University (IN)
- Rayat Bahra University (IN)
- Sohar University (OM)
- Chitkara University (IN)
- Punjab Engineering College (IN)
Publication Details
- Journal
- Mathematical Methods in the Applied Sciences
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1002/mma.11011
- Primary Topic
- Approximation Theory and Sequence Spaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00