Is the type-D NUT C-metric really "missing" from the most general Pleba\'nski-Demia\'nski solution?
Shuang-Qing Wu, Di Wu

TL;DR
This paper resolves a long-standing puzzle by explicitly relating the type-D NUT C-metric to the Plebański-Demiański solution through coordinate transformations and parameter identifications, clarifying their connection in general relativity.
Contribution
It provides explicit coordinate transformations and parameter mappings that connect the type-D NUT C-metric with the Plebański-Demiański solution, filling a gap in understanding their relationship.
Findings
Derived coordinate transformations linking the metrics.
Identified parameter mappings between different solution forms.
Proposed a new normalization routine for inverse scattering solutions.
Abstract
It remains a long-standing problem, unsettled for almost two decades in the general relativity community, ever since Griffiths and Podolsky demonstrated in Ref. [J.B. Griffiths and J. Podolsky, Class. Quant. Grav. 22, 3467 (2005)] that the type-D NUT C-metric seems to be absent from the most general family of the type-D Pleba\'nski-Demia\'nski (P-D) solution. However, Astorino [Phys. Rev. D 109, 084038 (2024)] presented a different form of rotating and accelerating black holes and showed that all known four-dimensional type-D accelerating black holes (without the NUT charge) can be recovered via various different limits in a definitive fashion. In particular, he provided, for the first time, the correct expressions for the type-D static accelerating black holes with a nonzero NUT charge, which was previously impossible using the traditional parametrization of the familiar P-D solution.…
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
TopicsDistributed and Parallel Computing Systems · Simulation Techniques and Applications
