Fixed-Point Theorems in Fuzzy Metric Spaces and Their Applications in Uncertainty Modeling

Authors

  • Dr. Pawan Kumar Author

DOI:

https://doi.org/10.31305/rrijm.2026.v11.n03.030

Keywords:

Fixed-Point Theorems, Fuzzy Metric Spaces, Convergence, Continuity

Abstract

At the core of the thesis lies an extensive investigation of Banach’s Contraction Principle, a foundational result asserting that any contraction mapping on a complete metric space has a unique fixed point. The principle's implications for the existence and uniqueness of solutions to differential and integral equations serve as a recurring theme, revealing the theorem’s continued relevance in mathematical modeling and computational applications. The thesis meticulously outlines the formal proof structure, elucidating the contraction property, the iterative approach to constructing Cauchy sequences, and the convergence behavior ensured by completeness. This is followed by an analytical treatment of Brouwer’s Fixed Point Theorem, which guarantees the existence of a fixed point for any continuous function mapping a compact convex subset of Euclidean space into itself. The topological conditions underpinning this theorem are shown to be foundational not only for abstract mathematics but also for economics and game theory, wherein equilibrium concepts hinge upon the assurance of such fixed points.

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Published

2026-03-15

How to Cite

Kumar, P. (2026). Fixed-Point Theorems in Fuzzy Metric Spaces and Their Applications in Uncertainty Modeling. RESEARCH REVIEW International Journal of Multidisciplinary, 11(3), 285-292. https://doi.org/10.31305/rrijm.2026.v11.n03.030