PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 5, 2026Fractal and Fractional0 citationsOpen Access

On a Uniparametric Class of Sixth-Order Multiple-Root Finders Using Rational Weighting

View Full Paper
YGYoung Hee Geum

Key Points

  • This research aims to analyze the dynamics and convergence of sixth-order iterative schemes for nonlinear equations with multiple roots.
  • Utilized Möbius conjugacy transformation on a specialized polynomial class.
  • Conducted bifurcation analysis of the parameter space.
  • Charted stability manifolds to identify convergence regions.
  • Examined fractal complexity of basins of attraction for iterative methods.
  • Identified regions of predictable convergence and chaotic instability.
  • Demonstrated structural robustness of higher-order methods via fractal boundary analysis.
  • Produced high-resolution graphical representations supporting findings.

Abstract

This investigation provides a comprehensive analytical framework for the topological morphology and global convergence dynamics governing a specific family of sixth-order iterative schemes designed for nonlinear equations with multiple roots. By invoking a Möbius conjugacy transformation upon the specialized polynomial class f (z) = ( (z−p) (z−q) ) m, we project the iterative sequence onto the Riemann sphere C^, effectively recasting the algorithm as a discrete complex dynamic system. The core of this study lies in the bifurcation analysis of the associated parameter space. We meticulously chart the stability manifolds, tracing the evolution of critical orbits to distinguish between regions of predictable convergence and those characterized by chaotic instability. By examining the iterative methods generated by these rational endomorphisms, the research unveils the intricate fractal boundaries that delineate the basin of attraction, offering a profound insight into the structural robustness of higher-order methods. In the dynamical plane, the geometry of the basins of attraction is scrutinized to evaluate the robustness of the numerical flow and its sensitivity to the configuration of weight functions. By analyzing the fractal complexity of the boundaries within these basins, we provide a detailed characterization of the iterative morphology and its global reliability. The analytical findings are supported by high-resolution graphical representations and comparative numerical data, illustrating the superior performance and structural integrity of the proposed methods in solving nonlinear problems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Young Hee Geum (2026) studied this question.

synapsesocial.com/papers/6984346ff1d9ada3c1fb27f5https://doi.org/10.3390/fractalfract10020102
Ask AI
Helpful
Bookmark
Share
View Full Paper