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.06341.6
URN: urn:nbn:de:0030-drops-8962
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/896/
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Kovár, Martin Maria
Instant topological relationships hidden in the reality
Abstract
In most applications of general topology, topology usually is not the first,
primary structure, but the information which finally leads to the construction of
the certain, for some purpose required topology, is filtered by more or less
thick filter of the other mathematical structures. This fact has two main
consequences:
(1) Most important applied constructions may be done in the primary
structure, bypassing the topology.
(2) Some topologically important information from the reality may be lost
(filtered out by the other, front-end mathematical structures).
Thus some natural and direct connection between topology and the reality
could be useful. In this contribution we will discuss a pointless topological
structure which directly reflects relationship between various locations which
are glued together by possible presence of a physical object or a virtual
``observer".
BibTeX - Entry
@InProceedings{kovar:DagSemProc.06341.6,
author = {Kov\'{a}r, Martin Maria},
title = {{Instant topological relationships hidden in the reality}},
booktitle = {Computational Structures for Modelling Space, Time and Causality},
pages = {1--2},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2007},
volume = {6341},
editor = {Ralph Kopperman and Prakash Panangaden and Michael B. Smyth and Dieter Spreen},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2007/896},
URN = {urn:nbn:de:0030-drops-8962},
doi = {10.4230/DagSemProc.06341.6},
annote = {Keywords: Pointless topology, reality}
}
Keywords: |
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Pointless topology, reality |
Collection: |
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06341 - Computational Structures for Modelling Space, Time and Causality |
Issue Date: |
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2007 |
Date of publication: |
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26.02.2007 |