Spectral Treatment of the Fractional Bratu Equation via Shifted Lucas Polynomials: A Precise Collocation Approach with Error Quantification

This paper introduces a novel spectral collocation method based on shifted Lucas polynomials for solving the fractional Bratu differential equation with nonhomogeneous Dirichlet boundary conditions. The method employs a homogenization strategy and an operational matrix formulation in the Caputo sense to transform the problem into a nonlinear algebraic system, which is efficiently solved via the Newton-Raphson method. Detailed error analysis confirms exponential convergence, and extensive numerical experiments demonstrate the method’s superior accuracy and efficiency compared to existing approaches, even for strongly nonlinear and fractional-order cases.

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Publication Details

Journal
Contemporary Mathematics
Published
2025-09-25
DOI
https://doi.org/10.37256/cm.6520258150
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Spectral Treatment of the Fractional Bratu Equation via Shifted Lucas Polynomials: A Precise Collocation Approach with Error Quantification

Hassan A. Zedan, Waleed Mohamed Abd-Elhameed, Y. H. Youssri, Maha M. Salama
Contemporary Mathematics
Fractional Differential Equations Solutions
article

Spectral Treatment of the Fractional Bratu Equation via Shifted Lucas Polynomials: A Precise Collocation Approach with Error Quantification

Hassan A. Zedan, Waleed Mohamed Abd-Elhameed, Y. H. Youssri, Maha M. Salama
article en

Abstract

This paper introduces a novel spectral collocation method based on shifted Lucas polynomials for solving the fractional Bratu differential equation with nonhomogeneous Dirichlet boundary conditions. The method employs a homogenization strategy and an operational matrix formulation in the Caputo sense to transform the problem into a nonlinear algebraic system, which is efficiently solved via the Newton-Raphson method. Detailed error analysis confirms exponential convergence, and extensive numerical experiments demonstrate the method’s superior accuracy and efficiency compared to existing approaches, even for strongly nonlinear and fractional-order cases.

Contemporary Mathematics
Kafrelsheikh University (EG), Cairo University (EG)
Openalex Percentile: Top 70%
Fractional Differential Equations Solutions
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