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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Trummer, Manfred R. Trefethen, Lloyd N. |
| Copyright Year | 1987 |
| Abstract | The eigenvalues of Chebyshev and Legendre spectral differentiation matrices, which determine the allowable time step in an explicit time integration, are extraordinarily sensitive to rounding errors and other perturbations. On a grid of N points per space dimension, machine rounding leads to errors in the eigenvalues of size $O(N^2 )$. This phenomenon may lead to inconsistency between predicted and observed time step restrictions. One consequence of it is that spectral differentiation by interpolation in Legendre points, which has a favorable $O(N^{ - 1} )$ time step restriction for the model problem $u_t = u_x $ in theory, is subject to an $O(N^{ - 2} )$ restriction in practice. The same effect occurs with Chebyshev points for the model problem $u_t = - xu_x $. Another consequence is that a spectral calculation with a fixed time step may be stable in double precision but unstable in single precision. We know of no other examples in numerical computation of this kind of precision-dependent stability. |
| Starting Page | 1008 |
| Ending Page | 1023 |
| Page Count | 16 |
| File Format | |
| ISSN | 00361429 |
| DOI | 10.1137/0724066 |
| e-ISSN | 10957170 |
| Issue Number | 5 |
| Volume Number | 24 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2006-07-14 |
| Access Restriction | Subscribed |
| Subject Keyword | spectral method boundary condition rounding error differentiation matrix instability Eigenvalues, eigenvectors Numerical differentiation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Numerical Analysis Computational Mathematics |
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