Generating Initial Data in General Relativity using Adaptive Finite Element Methods

Details Generating Initial Data in General Relativity using Adaptive Finite Element Methods Generating Initial Data in General Relativity using Adaptive Finite Element Methods

2008-01-21

arxiv.org/abs/0801.3142v3

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

54 pages, 15 figures. Published as LSU CCT Technical Report 2008-09

Scientific paper

The conformal formulation of the Einstein constraint equations is first reviewed, and we then consider the design, analysis, and implementation of adaptive multilevel finite element-type numerical methods for the resulting coupled nonlinear elliptic system. We derive weak formulations of the coupled constraints, and review some new developments in the solution theory for the constraints in the cases of constant mean extrinsic curvature (CMC) data, near-CMC data, and arbitrarily prescribed mean extrinsic curvature data. We then outline some recent results on a priori and a posteriori error estimates for a broad class of Galerkin-type approximation methods for this system which includes techniques such as finite element, wavelet, and spectral methods. We then use these estimates to construct an adaptive finite element method (AFEM) for solving this system numerically, and outline some new convergence and optimality results. We then describe in some detail an implementation of the methods using the FETK software package, which is an adaptive multilevel finite element code designed to solve nonlinear elliptic and parabolic systems on Riemannian manifolds. We finish by describing a simplex mesh generation algorithm for compact binary objects, and then look at a detailed example showing the use of FETK for numerical solution of the constraints.

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