Coulomb and Bessel functions of complex arguments and order
Journal of Computational Physics
A finite difference method for symmetric positive differential equations
Mathematics of Computation
An efficient spectral method for ordinary differential equations with rational function coefficients
Mathematics of Computation
Applied numerical linear algebra
Applied numerical linear algebra
Integration Preconditioning of Pseudospectral Operators. I. Basic Linear Operators
SIAM Journal on Numerical Analysis
Rapid Evaluation of Nonreflecting Boundary Kernels for Time-Domain Wave Propagation
SIAM Journal on Numerical Analysis
Journal of Computational Physics
Discontinuous Galerkin Methods for Friedrichs' Systems. I. General theory
SIAM Journal on Numerical Analysis
Spectral element modeling of semiconductor heterostructures
Mathematical and Computer Modelling: An International Journal
Journal of Computational Physics
Hi-index | 31.45 |
We consider the 2+1 and 3+1 scalar wave equations reduced via a helical Killing field, respectively referred to as the 2-dimensional and 3-dimensional helically reduced wave equation (HRWE). The HRWE serves as the fundamental model for the mixed-type PDE arising in the periodic standing wave (PSW) approximation to binary inspiral. We present a method for solving the equation based on domain decomposition and spectral approximation. Beyond describing such a numerical method for solving strictly linear HRWE, we also present results for a nonlinear scalar model of binary inspiral. The PSW approximation has already been theoretically and numerically studied in the context of the post-Minkowskian gravitational field, with numerical simulations carried out via the ''eigenspectral method.'' Despite its name, the eigenspectral technique does feature a finite-difference component, and is lower-order accurate. We intend to apply the numerical method described here to the theoretically well-developed post-Minkowski PSW formalism with the twin goals of spectral accuracy and the coordinate flexibility afforded by global spectral interpolation.