Splines finite element solver for one-dimensional time-dependent Maxwell’s equations via Fourier transform discretization. (English) Zbl 07905404
Summary: In this article, we solve the time-dependent Maxwell coupled equations in their one-dimensional version relatively to space-variable. We effectuate a variable reduction via Fourier transform to make the time variable as a frequency parameter easy and quickly to manage. A Galerkin variational method based on higher-order spline interpolations is used to approximate the solution relatively to the spacial variable. So, the state of existence of the solution, its uniqueness, and its regularity are studied and proved, and the study is also provided by an error estimate and the convergence orders of the proposed method. Also, we use the critical Nyquist frequency to calculate numerically the solution of the Inverse Fourier Transform (IFT); and for all numerical computations, we consider several quadrature methods. Finally, we give some experiments to illustrate the success of such an approach.
MSC:
| 65D05 | Numerical interpolation |
| 65D07 | Numerical computation using splines |
| 65D30 | Numerical integration |
| 65D32 | Numerical quadrature and cubature formulas |
| 65E05 | General theory of numerical methods in complex analysis (potential theory, etc.) |
| 65F30 | Other matrix algorithms (MSC2010) |
| 65G20 | Algorithms with automatic result verification |
| 65M60 | Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs |
Keywords:
1D Maxwell wave equation; Fourier transform discretization; splines finite element approximation; quadrature methods; error estimates; signal reconstruction; convergence ordersReferences:
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