High order convergent multigrid methods on domains containing holes for black hole initial data
Vishnu Natchu, Richard A. Matzner

TL;DR
This paper extends multigrid methods to higher order accuracy for solving elliptic equations in domains with holes, crucial for initial data in numerical relativity, demonstrating high-order convergence in 2D and 3D problems.
Contribution
It introduces high-order (fourth, sixth, eighth) multigrid methods for domains with holes, enabling rapid, accurate solutions aligned with evolution code requirements in general relativity.
Findings
Achieved high-order convergence in 2D and 3D elliptic problems with holes.
Demonstrated solution of the conformally flat Hamiltonian constraint in 3D.
Validated the method's effectiveness for realistic general relativity initial data.
Abstract
It is well known that multigrid methods are optimally efficient for solution of elliptic equations (O(N)), which means that effort is proportional to the number of points at which the solution is evaluated). Thus this is an ideal method to solve the initial data/constraint equations in General Relativity for (for instance) black hole interactions, or for other strong-field gravitational configurations. Recent efforts have produced finite difference multigrid solvers for domains with holes (excised regions). We present here the extension of these concepts to higher order (fourth-, sixth- and eigth-order). The high order convergence allows rapid solution on relatively small computational grids. Also, general relativity evolution codes are moving to typically fourth-order; data have to be computed at least as accurately as this same order for straightfoward demonstration of the proper…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods in engineering · Numerical methods in inverse problems
