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A novel method for approximate solution of two point non local fractional order coupled boundary value problems
Lahoucine Tadoummant1, Hammad Khalil2, Rachid Echarggaoui1
1Department of Mathematics, Ibn Tofail University, Kenitra, Morocco.
A new numerical method using shifted Legendre polynomials effectively solves fractional-order partial differential equations with non-local boundary conditions. The method demonstrates high precision and exponential convergence, significantly reducing errors.
Area of Science:
- Numerical Analysis
- Applied Mathematics
- Computational Science
Background:
- Fractional-order partial differential equations (FPDEs) and their coupled systems are crucial in modeling complex phenomena.
- Solving FPDEs with non-local boundary conditions presents significant analytical and numerical challenges.
Purpose of the Study:
- To introduce a novel numerical method for solving fractional-order partial differential equations and their coupled systems.
- To address problems with two-point non-local boundary conditions using an efficient computational approach.
Main Methods:
- The proposed method utilizes shifted Legendre polynomials and newly constructed operational matrices.
- These matrices transform FPDEs and non-local boundary conditions into a system of algebraic equations.
- Convergence analysis is rigorously performed, and the method is validated through computational examples.
Main Results:
- The numerical method effectively solves the investigated fractional-order differential equations.
- Absolute and relative errors for solutions X and Y decrease significantly as parameter M increases, reaching as low as 10-8.
- Observed convergence rates confirm the method's high precision and exponential convergence behavior.
Conclusions:
- The proposed numerical technique offers a precise and efficient solution for fractional-order partial differential equations with non-local boundary conditions.
- The method's performance is validated by computational examples and demonstrates robust convergence properties.
- MATLAB simulations confirm the efficacy of the algorithm, with code provided as supplementary material.
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