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Spectral shifted Chebyshev collocation technique with residual power series algorithm for time fractional problems.
Saad Z Rida1, Anas A M Arafa2,3, Hussein S Hussein1
1Department of Mathematics, Faculty of Science, South Valley University, Qena, 83523, Egypt.
This study introduces a new method, the collocation technique for shifted Chebyshev of the second kind with residual power series algorithm (CTSCSK-RPSA), to solve complex fractional partial differential equations (PDEs). The developed CTSCSK-RPSA method proves to be accurate and efficient for various physical and engineering problems.
Area of Science:
- Applied Mathematics
- Numerical Analysis
- Fractional Calculus
Background:
- Fractional partial differential equations (PDEs) are crucial for modeling complex phenomena.
- Nonlinear time fractional hyperbolic and pseudo hyperbolic PDEs with nonlocal conditions present significant analytical challenges.
- Existing numerical methods may lack accuracy or efficiency for these types of problems.
Purpose of the Study:
- To present and solve two specific problems involving nonlinear time fractional hyperbolic PDEs and time fractional pseudo hyperbolic PDEs.
- To introduce and validate the Collocation Technique for Shifted Chebyshev of the Second Kind with Residual Power Series Algorithm (CTSCSK-RPSA).
- To provide a detailed error analysis for the proposed numerical method.
Main Methods:
- The primary method employed is the Collocation Technique for Shifted Chebyshev of the Second Kind with Residual Power Series Algorithm (CTSCSK-RPSA).
- This technique combines spectral methods with a series expansion approach for efficient computation.
- The method is applied to solve nonlinear time fractional hyperbolic and pseudo hyperbolic PDEs with nonlocal conditions.
Main Results:
- Numerical solutions were obtained for the presented fractional PDEs.
- The accuracy and efficiency of the CTSCSK-RPSA method were demonstrated through detailed error analysis.
- The numerical results obtained using CTSCSK-RPSA were compared with existing techniques, showing competitive performance.
Conclusions:
- The CTSCSK-RPSA is an accurate, simple, and convenient method for solving linear and nonlinear fractional PDEs.
- This method offers a reliable approach for tackling complex problems in physics and engineering.
- The detailed error analysis supports the robustness of the CTSCSK-RPSA for fractional differential equations.
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