PhilSci Archive

Lost Horizon? – Modeling Black Holes in String Theory

Huggett, Nick and Matsubara, Keizo (2020) Lost Horizon? – Modeling Black Holes in String Theory. [Preprint]

This is the latest version of this item.

[img]
Preview
Text
BH-EJPS016.pdf - Accepted Version

Download (1MB) | Preview

Abstract

The modeling of black holes is an important desideratum for any quantum theory of gravity. Not only is a classical black hole metric sought, but also agreement with the laws of black hole thermodynamics. In this paper, we describe how these goals are obtained in string theory. We review black hole thermodynamics, and then explicate the general stringy derivation of classical spacetimes, the construction of a simple black hole solution, and the derivation of its entropy. With that in hand, we address some important philosophical and conceptual questions: the confirmatory value of the derivation, the bearing of the model on recent discussions of the so-called ‘information paradox’, and the implications of the model for the nature of space.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Huggett, Nickhuggett@uic.edu0000-0002-5699-5479
Matsubara, Keizokeizo.matsubara@filosofi.uu.se0000-0002-3976-9891
Additional Information: Forthcoming in European Journal for Philosophy of Science.
Keywords: quantum gravity, string theory, information paradox, black hole, fuzzball, firewall
Subjects: General Issues > Scientific Metaphysics
Specific Sciences > Physics > Quantum Gravity
Depositing User: Nick Huggett
Date Deposited: 04 May 2021 03:25
Last Modified: 04 May 2021 03:25
Item ID: 18989
Subjects: General Issues > Scientific Metaphysics
Specific Sciences > Physics > Quantum Gravity
Date: 13 June 2020
URI: http://philsci-archive.pitt.edu/id/eprint/18989

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item