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Numerical analysis of multi-dimensional time-fractional diffusion problems under the Atangana-Baleanu Caputo
Muhammad Nadeem1, Ji-Huan He2,3, Hamid M Sedighi4,5
1School of Mathematics and Statistics, Qujing Normal University, Qujing 655011, China.
This study introduces the Elzaki homotopy perturbation transform scheme (EHPTS) for solving multi-dimensional fractional diffusion equations. The EHPTS method provides an efficient and accurate approximate solution, validated by error analysis.
Area of Science:
- Numerical analysis
- Fractional calculus
- Partial differential equations
Background:
- Fractional diffusion equations model complex anomalous diffusion processes.
- Accurate analytical and numerical solutions are crucial for understanding these phenomena.
- The Atangana-Baleanu derivative in the Caputo sense offers a robust framework for fractional modeling.
Purpose of the Study:
- To introduce and validate the Elzaki homotopy perturbation transform scheme (EHPTS) for multi-dimensional fractional diffusion equations.
- To demonstrate the efficiency and accuracy of EHPTS in approximating solutions.
- To analyze the convergence properties and error bounds of the proposed method.
Main Methods:
- Application of the Elzaki transform (ET) to derive a recurrence relation.
- Implementation of the homotopy perturbation scheme (HPS) using the derived relation.
- Utilizing the Atangana-Baleanu derivative in the Caputo sense for fractional order.
- Graphical representation of solutions using 2D plots and 3D surfaces.
Main Results:
- The EHPTS successfully generates a convergent series solution that approximates the exact solution.
- Graphical representations illustrate the behavior of the approximate solutions.
- Error analysis confirms the high accuracy of the EHPTS, with solutions closely matching exact values.
- The method is shown to be straightforward and efficient.
Conclusions:
- The Elzaki homotopy perturbation transform scheme (EHPTS) is a powerful and efficient tool for solving multi-dimensional fractional diffusion equations.
- The method offers a simple and reliable approach for obtaining accurate approximate solutions.
- EHPTS demonstrates significant potential for application to a broader range of fractional derivative problems.
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