Hello,
The Chebyshev differentiation matrix is a numerical tool used in spectral methods for solving differential equations. I understand that you are using two approaches for calculating the same matrix: Trefthen's Method and the Vandermonde Matrix Method.
- Trefethen's Method: In this method, first the Chebyshev-Gauss-Lobatto points are calculated ('xi'). Then this method uses the explicit formula for the Chebyshev differentiation matrix with the off-diagonal and diagonal entries calculated separately. The diagonal entries are adjusted to ensure better numerical stability.
- Vandermonde Matrix Method: In this method also, first the Chebyshev-Gauss-Lobatto points are calculated ('ygl'). Then this method constructs the differentiation matrix through the Vandermonde matrix and its derivative, followed by matrix inversion (caused by the division of 'dVGL/VGL' which is interpreted in MATLAB as 'dVGL⋅inv(VGL)' ). The stability depends on the numerical properties of the Vandermonde matrix and its inversion.
In the Vandermonde Matrix Method, the diagonal entries of 'Dgl' are inherently calculated through the matrix inversion process. Unlike Trefethen's method, it does not explicitly use the identity (mentioned in the query) instead, this identity is implicitly satisfied due to the nature of the matrix operations involved.
The matrix 'VGL' is constructed using the basis of Chebyshev polynomials, which form an orthogonal set. The differentiation matrix 'Dgl', resulting from 'dVGL⋅inv(VGL)', maintains the property of polynomial differentiation at the grid points. One of the fundamental properties of differentiation matrices in the context of spectral methods is that the sum of each row (excluding the diagonal element) is equal to the negative of the diagonal element. This property is inherent to the structure of the differentiation matrix derived from polynomial interpolation at Chebyshev points. The differentiation matrix 'Dgl' is designed to approximate the derivative of a polynomial interpolant through the Chebyshev points. The matrix inversion process ensures that the resulting differentiation matrix captures the exact derivative relationships of these polynomials. Since the Chebyshev polynomials and their derivatives have specific symmetries and properties, the resulting matrix 'Dgl' naturally satisfies the row sum property for differentiation matrices.
Both methods ultimately produce the Chebyshev differentiation matrix, but they use different mathematical and computational approaches.
I hope this helps!
