I-Symmetric Spaces and the π-Images of Metric Spaces

Symmetric spaces and sn-symmetric spaces, as a generalization of metric spaces, have many important properties and have been widely discussed. We consider characterizations and mapping properties of sn-symmetric spaces under ideal convergence. I-symmetric spaces and I-sn-symmetric spaces are defined and studied. These not only generalize some classical results on symmetric spaces but also provide new directions to study generalized metric spaces using the notion of ideal convergence. As an application of I-sn-symmetric spaces, some relevant properties of statistical convergence are obtained. Some unanswered questions in this field are raised.

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Publication Details

Journal
Axioms
Published
2024-09-06
DOI
https://doi.org/10.3390/axioms13090607
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00

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article

I-Symmetric Spaces and the π-Images of Metric Spaces

Li Liu, Fang Liu, Shou Lin, Xiangeng Zhou
Axioms
Approximation Theory and Sequence Spaces
article

I-Symmetric Spaces and the π-Images of Metric Spaces

Li Liu, Fang Liu, Shou Lin, Xiangeng Zhou
article en

Abstract

Symmetric spaces and sn-symmetric spaces, as a generalization of metric spaces, have many important properties and have been widely discussed. We consider characterizations and mapping properties of sn-symmetric spaces under ideal convergence. I-symmetric spaces and I-sn-symmetric spaces are defined and studied. These not only generalize some classical results on symmetric spaces but also provide new directions to study generalized metric spaces using the notion of ideal convergence. As an application of I-sn-symmetric spaces, some relevant properties of statistical convergence are obtained. Some unanswered questions in this field are raised.

AxiomsVol. 13(9)
Ningde Normal University (CN)
National Science Foundation, National Natural Science Foundation of China
Openalex Percentile: Top 85%
Approximation Theory and Sequence Spaces
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