Paper Contents
Abstract
In this paper, the issue of statistical convergence was tackled in a more general context than the usual one, when the underlying space is a g-metric-like space. As will treated later. The main focus will be on this sort of generalized topological structures, which generalize classic metric spaces, maintaining sound analytical properties. The concept of statistical convergence for these topological spaces was modified. In the material that precedes, the content was initiated with a brief introduction of g-metric-like spaces and some of the topological properties that they have. Eventually, to expand a point of view, an idea of sequences in g-metric-like spaces that are statistically convergent was thoroughly discussed. The fundamental interpretations are included in this new structure with some concrete definitions provided.
Copyright
Copyright © 2024 gvvjagannadha rao. This is an open access article distributed under the Creative Commons Attribution License.
