License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.04351.5
URN: urn:nbn:de:0030-drops-1350
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2005/135/
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Martin, Keye ;
Panangaden, Prakash
A domain of spacetime intervals in general relativity
Abstract
We prove that a globally hyperbolic spacetime with its causality relation is a bicontinuous poset whose interval topology is the manifold topology. This implies that from only a countable
dense set of events and the causality relation, it
is possible to reconstruct a globally hyperbolic
spacetime in a purely order theoretic manner. The
ultimate reason for this is that globally hyperbolic spacetimes belong to a category that is equivalent to a special category of domains called interval domains.
We obtain a mathematical setting in which one
can study causality independently of geometry
and differentiable structure, and which also
suggests that spacetime emanates from
something discrete.
BibTeX - Entry
@InProceedings{martin_et_al:DagSemProc.04351.5,
author = {Martin, Keye and Panangaden, Prakash},
title = {{A domain of spacetime intervals in general relativity}},
booktitle = {Spatial Representation: Discrete vs. Continuous Computational Models},
pages = {1--28},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2005},
volume = {4351},
editor = {Ralph Kopperman and Michael B. Smyth and Dieter Spreen and Julian Webster},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2005/135},
URN = {urn:nbn:de:0030-drops-1350},
doi = {10.4230/DagSemProc.04351.5},
annote = {Keywords: Causality , spacetime , global hyperbolicity , interval domains , bicontinuous posets , spacetime topology}
}
Keywords: |
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Causality , spacetime , global hyperbolicity , interval domains , bicontinuous posets , spacetime topology |
Collection: |
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04351 - Spatial Representation: Discrete vs. Continuous Computational Models |
Issue Date: |
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2005 |
Date of publication: |
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22.04.2005 |