Abstract
The Goursat partial differential equation (PDE) problem of the second-order hyperbolic type is important for modeling a wide range of phenomena across scientific and engineering fields, including economic dynamics, global optimal scheduling, geoscience, biomedical engineering, and Nordström-like black hole studies. Traditional numerical methods for solving Goursat PDE problems include Runge-Kutta methods, Newton-Cotes integration, reduction differential transform methods, fuzzy transforms, iterative regularization, signature Kernel methods, and finite difference methods (FDM). While these methods have been widely used, challenges remain in preserving linearity, achieving effective linearization, and maintaining explicitness. This study introduces a novel approach that employs higher order extended compact FDM integrated with Taylor series expansions. FDM are chosen due to their widespread use and effectiveness in solving PDEs. They are known for their straightforward implementation and ability to handle complex problems efficiently. In this study, new higher order schemes for solving Goursat PDE problems have been constructed. These schemes are specifically designed to preserve linearity in linear Goursat problems, facilitate accurate linearization for nonlinear Goursat problems, and maintain an explicit structure that avoids iterative procedures. Numerical experiments show that the new higher order finite difference schemes provide improved accuracy, enhance reliability, and simplify the solution process by avoiding complex iterative calculations. Given the limited number of existing studies on nonlinear Goursat problems, this research addresses the gap by employing a linearization technique to effectively explore and solve both linear and nonlinear hyperbolic Goursat PDE problems. These advancements enhance mathematical modeling and problem-solving capabilities across various scientific disciplines.
Metadata
| Item Type: | Thesis (PhD) |
|---|---|
| Creators: | Creators Email / ID Num. Deraman, Ros Fadilah UNSPECIFIED |
| Contributors: | Contribution Name Email / ID Num. Thesis advisor Nasir, Mohd Agos Salim UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Mathematical statistics. Probabilities Q Science > QA Mathematics > Analysis |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences |
| Programme: | Doctor of Philosophy (Mathematics) |
| Keywords: | Consistency, Stability, Convergence analysis |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/125167 |
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