Uniform asymptotic expansions for prolate spheriodal functions with large parameters
SIAM Journal on Mathematical Analysis
Dispersion-relation-preserving finite difference schemes for computational acoustics
Journal of Computational Physics
A modified Chebyshev pseudospectral method with an O(N–1) time step restriction
Journal of Computational Physics
Fourier analysis of numerical algorithms for the Maxwell equations
Journal of Computational Physics
A high-resolution hybrid compact-ENO scheme for shock-turbulence interaction problems
Journal of Computational Physics
Journal of Computational Physics
On the Gibbs Phenomenon and Its Resolution
SIAM Review
Comparison of High-Accuracy Finite-Difference Methods for Linear Wave Propagation
SIAM Journal on Scientific Computing
ACM Transactions on Mathematical Software (TOMS)
Spectral Methods Based on Prolate Spheroidal Wave Functions for Hyperbolic PDEs
SIAM Journal on Numerical Analysis
Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method
SIAM Journal on Scientific Computing
Finite difference schemes for long-time integration
Journal of Computational Physics
NIST Handbook of Mathematical Functions
NIST Handbook of Mathematical Functions
A Prolate-Element Method for Nonlinear PDEs on the Sphere
Journal of Scientific Computing
The EPS method: A new method for constructing pseudospectral derivative operators
Journal of Computational Physics
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Prolate elements are a "plug-compatible" modification of spectral elements in which Legendre polynomials are replaced by prolate spheroidal wave functions of order zero. Prolate functions contain a"bandwidth parameter" $$c \ge 0 $$ c 驴 0 whose value is crucial to numerical performance; the prolate functions reduce to Legendre polynomials for $$c\,=\,0$$ c = 0 . We show that the optimal bandwidth parameter $$c$$ c not only depends on the number of prolate modes per element $$N$$ N , but also on the element widths $$h$$ h . We prove that prolate elements lack $$h$$ h -convergence for fixed $$c$$ c in the sense that the error does not go to zero as the element size $$h$$ h is made smaller and smaller. Furthermore, the theoretical predictions that Chebyshev and Legendre polynomials require $$\pi $$ 驴 degrees of freedom per wavelength to resolve sinusoidal functions while prolate series need only 2 degrees of freedom per wavelength are asymptotic limits as $$N \rightarrow \infty $$ N 驴 驴 ; we investigate the rather different behavior when $$N \sim O(4-10)$$ N ~ O ( 4 驴 10 ) as appropriate for spectral elements and prolate elements. On the other hand, our investigations show that there are certain combinations of $$N,\,h$$ N , h and $$c0$$ c 0 where a prolate basis clearly outperforms the Legendre polynomial approximation.