Characterizing Van Kampen Squares via Descent Data

Categories in which cocones satisfy certain exactness conditions w.r.t. pullbacks are subject to current research activities in theoretical computer science. Usually, exactness is expressed in terms of properties of the pullback functor associated with the cocone. Even in the case of non-exactness,...

Full description

Bibliographic Details
Main Authors: Harald König, Uwe Wolter, Michael Löwe
Format: Article
Language:English
Published: Open Publishing Association 2012-08-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1209.1435v1
_version_ 1818972894199283712
author Harald König
Uwe Wolter
Michael Löwe
author_facet Harald König
Uwe Wolter
Michael Löwe
author_sort Harald König
collection DOAJ
description Categories in which cocones satisfy certain exactness conditions w.r.t. pullbacks are subject to current research activities in theoretical computer science. Usually, exactness is expressed in terms of properties of the pullback functor associated with the cocone. Even in the case of non-exactness, researchers in model semantics and rewriting theory inquire an elementary characterization of the image of this functor. In this paper we will investigate this question in the special case where the cocone is a cospan, i.e. part of a Van Kampen square. The use of Descent Data as the dominant categorical tool yields two main results: A simple condition which characterizes the reachable part of the above mentioned functor in terms of liftings of involved equivalence relations and (as a consequence) a necessary and sufficient condition for a pushout to be a Van Kampen square formulated in a purely algebraic manner.
first_indexed 2024-12-20T15:15:31Z
format Article
id doaj.art-6f13622edb3748bb853dc632c8248817
institution Directory Open Access Journal
issn 2075-2180
language English
last_indexed 2024-12-20T15:15:31Z
publishDate 2012-08-01
publisher Open Publishing Association
record_format Article
series Electronic Proceedings in Theoretical Computer Science
spelling doaj.art-6f13622edb3748bb853dc632c82488172022-12-21T19:36:11ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802012-08-0193Proc. ACCAT 2012618110.4204/EPTCS.93.4Characterizing Van Kampen Squares via Descent DataHarald KönigUwe WolterMichael LöweCategories in which cocones satisfy certain exactness conditions w.r.t. pullbacks are subject to current research activities in theoretical computer science. Usually, exactness is expressed in terms of properties of the pullback functor associated with the cocone. Even in the case of non-exactness, researchers in model semantics and rewriting theory inquire an elementary characterization of the image of this functor. In this paper we will investigate this question in the special case where the cocone is a cospan, i.e. part of a Van Kampen square. The use of Descent Data as the dominant categorical tool yields two main results: A simple condition which characterizes the reachable part of the above mentioned functor in terms of liftings of involved equivalence relations and (as a consequence) a necessary and sufficient condition for a pushout to be a Van Kampen square formulated in a purely algebraic manner.http://arxiv.org/pdf/1209.1435v1
spellingShingle Harald König
Uwe Wolter
Michael Löwe
Characterizing Van Kampen Squares via Descent Data
Electronic Proceedings in Theoretical Computer Science
title Characterizing Van Kampen Squares via Descent Data
title_full Characterizing Van Kampen Squares via Descent Data
title_fullStr Characterizing Van Kampen Squares via Descent Data
title_full_unstemmed Characterizing Van Kampen Squares via Descent Data
title_short Characterizing Van Kampen Squares via Descent Data
title_sort characterizing van kampen squares via descent data
url http://arxiv.org/pdf/1209.1435v1
work_keys_str_mv AT haraldkonig characterizingvankampensquaresviadescentdata
AT uwewolter characterizingvankampensquaresviadescentdata
AT michaellowe characterizingvankampensquaresviadescentdata