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January 18, 20260 citationsOpen Access

K–R Contractions: A Unified Framework for Fixed Points, Stability, and Generalized Metric Structures

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PRPasupuleti RamaKrishnaRPRamakrishna Rao Pasupuleti

Key Points

  • The aim is to develop a unified theory for analyzing fixed points in various types of metric spaces using K–R contractions.
  • Introduced a two-parameter framework for fixed-point analysis.
  • Defined K–R contractions and established their uniqueness and convergence properties.
  • Developed stability theorems with quantitative bounds.
  • Presented counterexamples to illustrate sharpness of conditions.
  • Extended results to partial metrics, b-metric spaces, and multivalued mappings.
  • Established existence of unique fixed points for K–R contractions under specific conditions.
  • Demonstrated convergence of Picard iterations with explicit error estimates.
  • Validated K–R stability theorem with quantitative bounds on perturbations.
  • Showed that framework generalizes classical results and offers flexibility for operator analysis.

Abstract

We introduce a new two-parameter framework for fixed-point analysis in metric spaces based on a pair of constants that simultaneously quantify the contraction strength and the stability radius of a self-mapping. A mapping is called a K–R contraction if where and . This formulation extends the classical Banach contraction principle () and unifies several well-known contraction types, including Kannan- and Chatterjea-type mappings, under a single analytic structure. We prove that if satisfies , then admits a unique fixed point, and the associated Picard iteration converges to it with an explicit error estimate. In addition, we establish a K–R stability theorem, providing quantitative Hyers–Ulam stability bounds and showing robustness of fixed points under perturbations of the operator. Several counterexamples demonstrate that the condition is sharp. Further extensions to partial metric spaces, b-metric spaces, and multivalued mappings are also presented. The proposed K–R framework generalizes classical fixed-point results, offers improved flexibility for nonlinear operator analysis, and provides a unified basis for new applications in iterative methods, integral equations, and nonlinear dynamical systems.

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Cite This Study

RamaKrishna et al. (2026) studied this question.

synapsesocial.com/papers/696c772aeb60fb80d13956c8https://doi.org/10.5281/zenodo.18264381
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