Approximating Solutions of Matrix Equations via Fixed Point Techniques
The principal goal of this work is to investigate new sufficient conditions for the existence and convergence of positive definite solutions to certain classes of matrix equations. Under specific assumptions, the basic tool in our study is a monotone mapping, which admits a unique fixed point in the...
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2021
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oai:doaj.org-article:1f44f8547dce4553b4e3116a3e0d00442021-11-11T18:15:09ZApproximating Solutions of Matrix Equations via Fixed Point Techniques10.3390/math92126842227-7390https://doaj.org/article/1f44f8547dce4553b4e3116a3e0d00442021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2684https://doaj.org/toc/2227-7390The principal goal of this work is to investigate new sufficient conditions for the existence and convergence of positive definite solutions to certain classes of matrix equations. Under specific assumptions, the basic tool in our study is a monotone mapping, which admits a unique fixed point in the setting of a partially ordered Banach space. To estimate solutions to these matrix equations, we use the Krasnosel’skiĭ iterative technique. We also discuss some useful examples to illustrate our results.Rahul ShuklaRajendra PantHemant Kumar NashineManuel De la SenMDPI AGarticlenonexpnasive mappingenriched nonexpansive mappingbanach spacematrix equationsMathematicsQA1-939ENMathematics, Vol 9, Iss 2684, p 2684 (2021) |
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nonexpnasive mapping enriched nonexpansive mapping banach space matrix equations Mathematics QA1-939 |
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nonexpnasive mapping enriched nonexpansive mapping banach space matrix equations Mathematics QA1-939 Rahul Shukla Rajendra Pant Hemant Kumar Nashine Manuel De la Sen Approximating Solutions of Matrix Equations via Fixed Point Techniques |
description |
The principal goal of this work is to investigate new sufficient conditions for the existence and convergence of positive definite solutions to certain classes of matrix equations. Under specific assumptions, the basic tool in our study is a monotone mapping, which admits a unique fixed point in the setting of a partially ordered Banach space. To estimate solutions to these matrix equations, we use the Krasnosel’skiĭ iterative technique. We also discuss some useful examples to illustrate our results. |
format |
article |
author |
Rahul Shukla Rajendra Pant Hemant Kumar Nashine Manuel De la Sen |
author_facet |
Rahul Shukla Rajendra Pant Hemant Kumar Nashine Manuel De la Sen |
author_sort |
Rahul Shukla |
title |
Approximating Solutions of Matrix Equations via Fixed Point Techniques |
title_short |
Approximating Solutions of Matrix Equations via Fixed Point Techniques |
title_full |
Approximating Solutions of Matrix Equations via Fixed Point Techniques |
title_fullStr |
Approximating Solutions of Matrix Equations via Fixed Point Techniques |
title_full_unstemmed |
Approximating Solutions of Matrix Equations via Fixed Point Techniques |
title_sort |
approximating solutions of matrix equations via fixed point techniques |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/1f44f8547dce4553b4e3116a3e0d0044 |
work_keys_str_mv |
AT rahulshukla approximatingsolutionsofmatrixequationsviafixedpointtechniques AT rajendrapant approximatingsolutionsofmatrixequationsviafixedpointtechniques AT hemantkumarnashine approximatingsolutionsofmatrixequationsviafixedpointtechniques AT manueldelasen approximatingsolutionsofmatrixequationsviafixedpointtechniques |
_version_ |
1718431869547053056 |