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Analytical solutions and dynamic behavior of conformable fractional reaction-diffusion systems
Azzh Saad Alshehry1, Rasool Shah2, Aisha M Alqahtani1
1Department of Mathematical Sciences, Faculty of Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
This study introduces a new method using the conformable fractional operator for analyzing fractional reaction-diffusion systems. Results show reduced fractional order enhances nonlocality and slows diffusion, offering insights into complex transport processes.
Area of Science:
- Mathematical Physics
- Nonlinear Dynamics
- Fractional Calculus
Background:
- Fractional reaction-diffusion systems model complex phenomena with memory effects.
- Classical calculus methods may not fully capture nonlocal dynamics inherent in these systems.
- The conformable fractional operator offers a simplified approach to fractional modeling.
Purpose of the Study:
- To analytically investigate fractional reaction-diffusion systems using the conformable fractional operator.
- To reduce fractional partial differential equations to ordinary differential forms for solution derivation.
- To validate the proposed framework by comparing solutions with the Homotopy Perturbation Method (HPM).
Main Methods:
- Application of the conformable fractional operator.
- Utilizing similarity transformations to simplify governing equations.
- Derivation of analytical and approximate solutions.
- Comparison with solutions obtained via the Homotopy Perturbation Method (HPM).
Main Results:
- Analytical and approximate solutions were derived for fractional reaction-diffusion systems.
- The conformable fractional operator proved efficient and accurate for nonlinear systems.
- A reduction in fractional order was shown to enhance nonlocality and slow diffusion processes.
- The study successfully bridged classical and fractional modeling approaches.
Conclusions:
- The conformable fractional operator is a powerful tool for modeling fractional-order processes with memory effects.
- This framework provides a robust theoretical foundation for applications in mathematical biology, chemical physics, and engineering.
- The findings deepen the understanding of fractional transport phenomena and nonlocal dynamics.
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