FIXED-POINT THEOREMS IN METRIC SPACES: APPLICATIONS TO NONLINEAR INTEGRAL EQUATIONS

This study explores their utility in solving nonlinear integral equations, a class of equations frequently encountered in mathematical modeling of physical, biological, and engineering systems.We provide a comprehensive review of key fixed-point theorems, including Banach's Contraction Principle, Schauder's Fixed-Point Theorem, and their generalizations.Emphasis is placed on the conditions under which these theorems can be applied to nonlinear integral equations.Examples demonstrate the practical implementation of these theorems to guarantee the existence and uniqueness of solutions.The results highlight the interplay between the structure of metric spaces, operator properties, and the formulation of integral equations, offering a robust framework for tackling nonlinear problems across diverse applications.

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Publication Details

Journal
myresearchgo
Published
2025-08-29
DOI
https://doi.org/10.64448/myresearchgo..vol.1.issue.5.004
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00
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article

FIXED-POINT THEOREMS IN METRIC SPACES: APPLICATIONS TO NONLINEAR INTEGRAL EQUATIONS

Kumari Priyanka, Narendra Swami
myresearchgo
Numerical methods for differential equations
article

FIXED-POINT THEOREMS IN METRIC SPACES: APPLICATIONS TO NONLINEAR INTEGRAL EQUATIONS

Kumari Priyanka, Narendra Swami
article en

Abstract

This study explores their utility in solving nonlinear integral equations, a class of equations frequently encountered in mathematical modeling of physical, biological, and engineering systems.We provide a comprehensive review of key fixed-point theorems, including Banach's Contraction Principle, Schauder's Fixed-Point Theorem, and their generalizations.Emphasis is placed on the conditions under which these theorems can be applied to nonlinear integral equations.Examples demonstrate the practical implementation of these theorems to guarantee the existence and uniqueness of solutions.The results highlight the interplay between the structure of metric spaces, operator properties, and the formulation of integral equations, offering a robust framework for tackling nonlinear problems across diverse applications.

myresearchgoVol. 1(5)
Openalex Percentile: Top 67%
Numerical methods for differential equations
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