Operational matrices based on the shifted fifth-kind Chebyshev polynomials for solving nonlinear variable order
This study introduces a novel numerical method using shifted fifth-kind Chebyshev polynomials (SFKCPs) to solve variable order integro-differential equations (VO-IDEs). The method transforms complex equations into algebraic systems, demonstrating high accuracy in numerical tests.
Area of Science:
- Numerical Analysis
- Applied Mathematics
- Computational Science
Background:
- Variable order integro-differential equations (VO-IDEs) present significant challenges in mathematical modeling.
- Existing numerical methods may lack efficiency or accuracy for these complex equations.
Purpose of the Study:
- To develop and analyze a novel numerical scheme for solving general VO-IDEs.
- To utilize shifted fifth-kind Chebyshev polynomials (SFKCPs) for approximating solutions.
- To transform VO-IDEs into a system of algebraic equations for efficient computation.
Main Methods:
- Expansion of the unknown function and its derivatives using SFKCPs.
- Calculation of operational matrices based on SFKCPs.
- Application of collocation points to convert the integro-differential problem into algebraic equations.
- Analysis of the method's convergence and error estimation.
Main Results:
- The proposed SFKCP-based method effectively transforms VO-IDEs into solvable algebraic systems.
- Numerical tests confirm the high accuracy and reliability of the developed scheme.
- The method provides accurate approximate solutions for the studied class of equations.
Conclusions:
- The SFKCP-based numerical scheme offers an accurate and efficient approach for solving VO-IDEs.
- The method's convergence and error analysis provide a theoretical foundation for its application.
- This research contributes a valuable tool for researchers and practitioners working with VO-IDEs.
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