Spectral collocation approach for solving the time-fractional Kuramoto-Sivashinsky equation using the Fibonacci coefficient polynomials

This work presents an algorithm that applies the typical collocation method to solve the time-fractional Kuramoto–Sivashinsky equation (TFKSE). Our suggested new basis functions are the Fibonacci coefficient polynomials. We develop new theoretical results of these polynomials, such as their integer and fractional derivatives. The proposed approach efficiently estimates spatial and temporal derivatives using the operational matrices (OMs) of derivatives of the introduced polynomials. The approach converts the TFKSE controlled by their conditions into a non-linear system of equations that may be handled numerically. A thorough error and convergence analysis study for the proposed Fibonacci coefficient expansion is presented. Several illustrative numerical examples, including those with known exact solutions, are presented to confirm the efficiency and applicability of the suggested approach, even with fewer terms of basis functions. In addition, comparisons with some numerical methods are presented to verify our numerical approach's high accuracy.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025805
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.74
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article

Spectral collocation approach for solving the time-fractional Kuramoto-Sivashinsky equation using the Fibonacci coefficient polynomials

Ahmed Gamal Atta, Waleed Mohamed Abd-Elhameed, Mohamed Adel, Omar Mazen Alqubori et al.
2 citations
AIMS Mathematics
Fractional Differential Equations Solutions
2.74
article

Spectral collocation approach for solving the time-fractional Kuramoto-Sivashinsky equation using the Fibonacci coefficient polynomials

Ahmed Gamal Atta, Waleed Mohamed Abd-Elhameed, Mohamed Adel, Omar Mazen Alqubori, Naher Mohammed A. Alsafri, Ahmed H. Al-Mehmadi
article en
2 citations

Abstract

This work presents an algorithm that applies the typical collocation method to solve the time-fractional Kuramoto–Sivashinsky equation (TFKSE). Our suggested new basis functions are the Fibonacci coefficient polynomials. We develop new theoretical results of these polynomials, such as their integer and fractional derivatives. The proposed approach efficiently estimates spatial and temporal derivatives using the operational matrices (OMs) of derivatives of the introduced polynomials. The approach converts the TFKSE controlled by their conditions into a non-linear system of equations that may be handled numerically. A thorough error and convergence analysis study for the proposed Fibonacci coefficient expansion is presented. Several illustrative numerical examples, including those with known exact solutions, are presented to confirm the efficiency and applicability of the suggested approach, even with fewer terms of basis functions. In addition, comparisons with some numerical methods are presented to verify our numerical approach's high accuracy.

AIMS MathematicsVol. 10(8)
Ain Shams University (EG), Cairo University (EG), University of Jeddah (SA), Islamic University of Madinah (SA)
Openalex Percentile: Top 9%
Fractional Differential Equations Solutions
2.74
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Spectral collocation approach for solving the time-fractional Kuramoto-Sivashinsky equation using the Fibonacci coefficient polynomials — Ahmed Gamal Atta, Waleed Mohamed Abd-Elhameed, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS