Best Approximations on Quasi-Cone Metric Spaces

Fuente: arXiv
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Auteurs principaux: Zakiyudin, Ahmad Hisbu, Fahim, Kistosil, Af-Idah, Nur Millatul, Setiawan, Felix Lyanto, Lathifah, Ririana Annisatul, Nurdin, Nur Izzah, Tarisma, Tantri
Format: Preprint
Publié: 2025
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author Zakiyudin, Ahmad Hisbu
Fahim, Kistosil
Af-Idah, Nur Millatul
Setiawan, Felix Lyanto
Lathifah, Ririana Annisatul
Nurdin, Nur Izzah
Tarisma, Tantri
author_facet Zakiyudin, Ahmad Hisbu
Fahim, Kistosil
Af-Idah, Nur Millatul
Setiawan, Felix Lyanto
Lathifah, Ririana Annisatul
Nurdin, Nur Izzah
Tarisma, Tantri
contents This paper focuses on the best approximation in quasi-cone metric spaces, a combination of quasi-metrics and cone metrics, which generalizes the notion of distance by allowing it to take values in an ordered Banach space. We explore the fundamental properties of best approximations in this setting, such as the best approximation sets and the Chebyshev sets.
format Preprint
id arxiv_https___arxiv_org_abs_2503_10137
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Best Approximations on Quasi-Cone Metric Spaces
Zakiyudin, Ahmad Hisbu
Fahim, Kistosil
Af-Idah, Nur Millatul
Setiawan, Felix Lyanto
Lathifah, Ririana Annisatul
Nurdin, Nur Izzah
Tarisma, Tantri
Functional Analysis
41A50, 41A65, 46A16
This paper focuses on the best approximation in quasi-cone metric spaces, a combination of quasi-metrics and cone metrics, which generalizes the notion of distance by allowing it to take values in an ordered Banach space. We explore the fundamental properties of best approximations in this setting, such as the best approximation sets and the Chebyshev sets.
title Best Approximations on Quasi-Cone Metric Spaces
topic Functional Analysis
41A50, 41A65, 46A16
url https://arxiv.org/abs/2503.10137