Published November 2021 | Version v1
Journal article

Quasinormal modes and shadow of a Schwarzschild black hole with GUP

  • 1. Departamento de Física, Universidade Federal de Campina Grande, Caixa Postal 10071, 58429-900 Campina Grande, Paraíba (Brazil)
  • 2. Departamento de Física, Universidade Federal da Paraíba, Caixa Postal 5008, 58051-970 João Pessoa, Paraíba (Brazil)

Description

Highlights: • The physics of quantum corrected Schwarzschild Black Hole via GUP is investigated. • Quasinormal Modes (QNM) are obtained via WKB and numeric methods. • The relationship between shadow and QNM in the eikonal limit is established. • The quadratic and linear GUP parameters affect the results in a clear way. We consider quantum corrections for the Schwarzschild black hole metric by using the generalized uncertainty principle (GUP) to investigate quasinormal modes, shadow and their relationship in the eikonal limit. We calculate the quasinormal frequencies of the quantum-corrected Schwarzschild black hole by using the sixth-order Wentzel–Kramers–Brillouin (WKB) approximation, and also perform a numerical analysis that confirms the results obtained from this approach. We also find that the shadow radius is nonzero even at very small mass limit for finite GUP parameter.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aop.2021.168662

Additional details

Identifiers

DOI
10.1016/j.aop.2021.168662;
PII
S0003491621002682;

Publishing Information

Journal Title
Annals of Physics (New York)
Journal Volume
434
Journal Page Range
vp.
ISSN
0003-4916
CODEN
APNYA6

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53101453
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
BLACK HOLES; EIKONAL APPROXIMATION; METRICS; NUMERICAL ANALYSIS; UNCERTAINTY PRINCIPLE; WKB APPROXIMATION
Descriptors DEC
APPROXIMATIONS; CALCULATION METHODS; MATHEMATICS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Inc. All rights reserved.