J 2017

Non-Schwarzschild black-hole metric in four dimensional higher derivative gravity: Analytical approximation

KOKKOTAS, Konstantinos D., Roman KONOPLYA and Alexander ZHIDENKO

Basic information

Original name

Non-Schwarzschild black-hole metric in four dimensional higher derivative gravity: Analytical approximation

Authors

KOKKOTAS, Konstantinos D. (300 Greece), Roman KONOPLYA (804 Ukraine, guarantor, belonging to the institution) and Alexander ZHIDENKO (804 Ukraine)

Edition

Physical Review D, 2017, 2470-0010

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10308 Astronomy

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/47813059:19240/17:A0000053

Organization unit

Faculty of Philosophy and Science in Opava

UT WoS

000409259700007

Keywords in English

higher derivative gravity; analytical solution; black holes

Tags

International impact, Reviewed
Změněno: 5/4/2018 14:57, RNDr. Jan Hladík, Ph.D.

Abstract

V originále

Higher derivative extensions of Einstein gravity are important within the string theory approach to gravity and as alternative and effective theories of gravity. H. Lu, A. Perkins, C. Pope, and K. Stelle [Phys. Rev. Lett. 114, 171601 (2015)] found a numerical solution describing a spherically symmetric non-Schwarzschild asymptotically flat black hole in Einstein gravity with added higher derivative terms. Using the general and quickly convergent parametrization in terms of the continued fractions, we represent this numerical solution in the analytical form, which is accurate not only near the event horizon or far from the black hole, but in the whole space. Thereby, the obtained analytical form of the metric allows one to study easily all the further properties of the black hole, such as thermodynamics, Hawking radiation, particle motion, accretion, perturbations, stability, quasinormal spectrum, etc. Thus, the found analytical approximate representation can serve in the same way as an exact solution.