Geometric Bounds in Spherically Symmetric General Relativity
Jemal Guven, Niall O Murchadha
Abstract
We exploit an arbitrary extrinsic time foliation of spacetime to solve the constraints in spherically symmetric general relativity. Among such foliations there is a one parameter family, linear and homogeneous in the extrinsic curvature, which permit the momentum constraint to be solved exactly. This family includes, as special cases, the extrinsic time gauges that have been exploited in the past. These foliations have the property that the extrinsic curvature is spacelike with respect to the the spherically symmetric superspace metric. What is remarkable is that the linearity can be relaxed at no essential extra cost which permits us to isolate a large non - pathological dense subset of all extrinsic time foliations. We identify properties of solutions which are independent of the particular foliation within this subset. When the geometry is regular, we can place spatially invariant numerical bounds on the values of both the spatial and the temporal gradients of the scalar areal radius, R. These bounds are entirely independent of the particular gauge and of the magnitude of the sources. When singularities occur, we demonstrate that the geometry behaves in a universal way in the neighborhood of the singularity.
Create a lesson
Related papers
Multimessenger astrophysics drives the case for an Australian Gravitational-Wave observatory
Fiona H. Panther, Paul D. Lasky, Nikhil Sarin
Binary black hole mergers in massive Einstein-scalar-Gauss-Bonnet gravity
Harry L. H. Shum, Llibert Aresté Saló, Miguel Bezares et al.
Noisy pipelines II: Non-parametric Noise Inference for LISA
Charlie Hoy, Joseph Bayley, Ollie Burke et al.
Quasi-Normal Modes of Covariant Loop Quantum Black Holes
Chao Zhang, Sushant G. Ghosh, Anzhong Wang
Kerr metric perturbations for second-order self-force theory
Benjamin Leather, Samuel D. Upton, Patrick Bourg et al.
Multi-domain spectral method for Kerr spacetimes: a hyperboloidal Teukolsky m-mode solver for self-force computations
Brad Cownden, Rodrigo Panosso Macedo, Christiana Pantelidou et al.