Self-Correlation and Maximum Independence in Finite Relations

We consider relations with no order on their attributes as in Database Theory. An independent partition of the set of attributes S of a finite relation R is any partition X of S such that the join of the projections of R over the elements of X yields R. Identifying independent partitions has many a...

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Main Authors: Dilian Gurov, Minko Markov
Format: Article
Language:English
Published: Open Publishing Association 2015-09-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1509.03016v1
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spelling doaj-c0c82cfcc6344ab2beadc37b22e198b12020-11-24T23:10:43ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802015-09-01191Proc. FICS 2015607410.4204/EPTCS.191.7:2Self-Correlation and Maximum Independence in Finite RelationsDilian Gurov0Minko Markov1 KTH Royal Institute of Technology, Stockholm, Sweden St. Kliment Ohridski University of Sofia, Sofia, Bulgaria We consider relations with no order on their attributes as in Database Theory. An independent partition of the set of attributes S of a finite relation R is any partition X of S such that the join of the projections of R over the elements of X yields R. Identifying independent partitions has many applications and corresponds conceptually to revealing orthogonality between sets of dimensions in multidimensional point spaces. A subset of S is termed self-correlated if there is a value of each of its attributes such that no tuple of R contains all those values. This paper uncovers a connection between independence and self-correlation, showing that the maximum independent partition is the least fixed point of a certain inflationary transformer alpha that operates on the finite lattice of partitions of S. alpha is defined via the minimal self-correlated subsets of S. We use some additional properties of alpha to show the said fixed point is still the limit of the standard approximation sequence, just as in Kleene's well-known fixed point theorem for continuous functions.http://arxiv.org/pdf/1509.03016v1
collection DOAJ
language English
format Article
sources DOAJ
author Dilian Gurov
Minko Markov
spellingShingle Dilian Gurov
Minko Markov
Self-Correlation and Maximum Independence in Finite Relations
Electronic Proceedings in Theoretical Computer Science
author_facet Dilian Gurov
Minko Markov
author_sort Dilian Gurov
title Self-Correlation and Maximum Independence in Finite Relations
title_short Self-Correlation and Maximum Independence in Finite Relations
title_full Self-Correlation and Maximum Independence in Finite Relations
title_fullStr Self-Correlation and Maximum Independence in Finite Relations
title_full_unstemmed Self-Correlation and Maximum Independence in Finite Relations
title_sort self-correlation and maximum independence in finite relations
publisher Open Publishing Association
series Electronic Proceedings in Theoretical Computer Science
issn 2075-2180
publishDate 2015-09-01
description We consider relations with no order on their attributes as in Database Theory. An independent partition of the set of attributes S of a finite relation R is any partition X of S such that the join of the projections of R over the elements of X yields R. Identifying independent partitions has many applications and corresponds conceptually to revealing orthogonality between sets of dimensions in multidimensional point spaces. A subset of S is termed self-correlated if there is a value of each of its attributes such that no tuple of R contains all those values. This paper uncovers a connection between independence and self-correlation, showing that the maximum independent partition is the least fixed point of a certain inflationary transformer alpha that operates on the finite lattice of partitions of S. alpha is defined via the minimal self-correlated subsets of S. We use some additional properties of alpha to show the said fixed point is still the limit of the standard approximation sequence, just as in Kleene's well-known fixed point theorem for continuous functions.
url http://arxiv.org/pdf/1509.03016v1
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