A novel numerical method for stochastic conformable fractional differential systems

This study introduced the conformable fractional discrete Temimi–Ansari method (CFDTAM), a novel numerical framework designed to solve fractional stochastic nonlinear differential equations with enhanced efficiency and accuracy. By leveraging the conformable fractional derivative (CFD), the CFDTAM unifies classical and fractional-order systems while maintaining computational simplicity. The method's efficacy was demonstrated through applications to a stochastic population model and the Brusselator system, showcasing its ability to handle nonlinear dynamics with high precision. A comprehensive convergence analysis was also conducted to validate the reliability and stability of the proposed method. All computations were performed using Mathematica 12 software, ensuring accuracy and consistency in numerical simulations. CFDTAM sets a new benchmark in fractional stochastic modeling, paving the way for advancements in partial differential equations, delay systems, and hybrid models.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025345
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
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article

A novel numerical method for stochastic conformable fractional differential systems

Aisha F. Fareed, Emad A. Mohamed, Mokhtar Aly, Mourad S. Semary
1 citations
AIMS Mathematics
Fractional Differential Equations Solutions
1.37
article

A novel numerical method for stochastic conformable fractional differential systems

Aisha F. Fareed, Emad A. Mohamed, Mokhtar Aly, Mourad S. Semary
article en
1 citations

Abstract

This study introduced the conformable fractional discrete Temimi–Ansari method (CFDTAM), a novel numerical framework designed to solve fractional stochastic nonlinear differential equations with enhanced efficiency and accuracy. By leveraging the conformable fractional derivative (CFD), the CFDTAM unifies classical and fractional-order systems while maintaining computational simplicity. The method's efficacy was demonstrated through applications to a stochastic population model and the Brusselator system, showcasing its ability to handle nonlinear dynamics with high precision. A comprehensive convergence analysis was also conducted to validate the reliability and stability of the proposed method. All computations were performed using Mathematica 12 software, ensuring accuracy and consistency in numerical simulations. CFDTAM sets a new benchmark in fractional stochastic modeling, paving the way for advancements in partial differential equations, delay systems, and hybrid models.

AIMS MathematicsVol. 10(3)
Prince Sattam Bin Abdulaziz University (SA), Benha University (EG), San Sebastián University (CL), Badr University in Cairo (EG)
Openalex Percentile: Top 24%
Fractional Differential Equations Solutions
1.37
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