4.5 Review

Black holes, hidden symmetries, and complete integrability

期刊

LIVING REVIEWS IN RELATIVITY
卷 20, 期 -, 页码 -

出版社

SPRINGER INT PUBL AG
DOI: 10.1007/s41114-017-0009-9

关键词

General relativity; Higher dimensions; Black holes; Kerr-NUT-(A)dS; Hidden symmetries; Principal tensor; Complete integrability; Separability

资金

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)
  2. Killam Trust
  3. successive Czech Science Foundation [P203-12-0118, 17-01625S]
  4. Perimeter Institute for Theoretical Physics
  5. NSERC
  6. Government of Canada through the Department of Innovation, Science and Economic Development Canada
  7. Province of Ontario through the Ministry of Research, Innovation and Science

向作者/读者索取更多资源

The study of higher-dimensional black holes is a subject which has recently attracted vast interest. Perhaps one of the most surprising discoveries is a realization that the properties of higher-dimensional black holes with the spherical horizon topology and described by the Kerr-NUT-(A)dS metrics are very similar to the properties of the well known four-dimensional Kerr metric. This remarkable result stems from the existence of a single object called the principal tensor. In our review we discuss explicit and hidden symmetries of higher-dimensional Kerr-NUT-(A)dS black hole spacetimes. We start with discussion of the Killing and Killing-Yano objects representing explicit and hidden symmetries. We demonstrate that the principal tensor can be used as a seed object which generates all these symmetries. It determines the form of the geometry, as well as guarantees its remarkable properties, such as special algebraic type of the spacetime, complete integrability of geodesic motion, and separability of the Hamilton-Jacobi, Klein-Gordon, and Dirac equations. The review also contains a discussion of different applications of the developed formalism and its possible generalizations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据