Parameterized Statistical Compactness of Topological Spaces

In this research, we present the notion of statistical compactness restricted up to order $\alpha$, where $\alpha \in (0,1]$. There exist statistically compact spaces that are not compact. So the parameter $\alpha$ became the measurement of non compactness. Additionally, we looked for the continued existence of order $\alpha$ statistical compactness under open continuous surjection and sub-space topology. A finite intersection-like characterization for $\alpha$ statistical compactness has also been established.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Mathematics and Computer Science
Published
2024-12-30
DOI
https://doi.org/10.47000/tjmcs.1542927
Citations
1
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parameterized Statistical Compactness of Topological Spaces

Tanmayee Datta, Prasenjit Bal, Parthiba Das
1 citations
Turkish Journal of Mathematics and Computer Science
Approximation Theory and Sequence Spaces
0.71
article

Parameterized Statistical Compactness of Topological Spaces

Tanmayee Datta, Prasenjit Bal, Parthiba Das
article en
1 citations

Abstract

In this research, we present the notion of statistical compactness restricted up to order $\alpha$, where $\alpha \in (0,1]$. There exist statistically compact spaces that are not compact. So the parameter $\alpha$ became the measurement of non compactness. Additionally, we looked for the continued existence of order $\alpha$ statistical compactness under open continuous surjection and sub-space topology. A finite intersection-like characterization for $\alpha$ statistical compactness has also been established.

Turkish Journal of Mathematics and Computer ScienceVol. 16(2)
ICFAI University, Tripura (IN)
Openalex Percentile: Top 23%
Approximation Theory and Sequence Spaces
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.