Analyzing lacunary <inline-formula><tex-math id="M1">$ \Delta^{m} $</tex-math></inline-formula>-statistical convergence in neutrosophic normed spaces
This paper explores the notions of lacunary $ \Delta^m $-statistical convergence, lacunary $ \Delta^m $-statistical Cauchy sequences, and lacunary strongly $ \Delta^m $-convergence within the framework of neutrosophic normed linear spaces (NNLS). We establish the uniqueness of limit and certain algebraic properties of lacunary $ \Delta^m $-statistical convergence in NNLS, offering a rigorous foundation for these concepts. Additionally, we introduce the concept of strong Cesàro summability in NNLS and conduct an in-depth analysis of its properties. The connections between lacunary strong $ \Delta^m $-convergence and Cesàro summability are also examined, revealing significant interrelationships between these two convergence methods.
Authors
- Hari Shankar (ORCID: https://orcid.org/0000-0002-3180-1877)
- Ayhan Eşi (ORCID: https://orcid.org/0000-0003-3137-3865)
- Chandan Chaurasiya
- Ayaz Ahmad
Institutions
- National Institute of Technology Patna (IN)
- Turgut Özal University (TR)
Publication Details
- Journal
- Mathematical Foundations of Computing
- Published
- 2025-06-30
- DOI
- https://doi.org/10.3934/mfc.2025023
- Primary Topic
- Approximation Theory and Sequence Spaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00