Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra

This study generalizes the notion of distance via defining an axiomatic collective distance, between arbitrary vector sets. A first part discusses conceptual tools, which can be later useful for general mathematical practice or as computational quantum similarity indices. After preliminary definitio...

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Hovedforfatter: Barragan Guerrero, D. (author)
Andre forfattere: Carbo Dorca, R. (author)
Format: article
Udgivet: 2017
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Online adgang:http://10.1002/wcms.1223
http://dspace.utpl.edu.ec/handle/123456789/18981
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author Barragan Guerrero, D.
author2 Carbo Dorca, R.
author2_role author
author_facet Barragan Guerrero, D.
Carbo Dorca, R.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Barragan Guerrero, D.
Carbo Dorca, R.
dc.date.none.fl_str_mv 01/09/2015
2017-06-16T22:02:44Z
2017-06-16T22:02:44Z
dc.identifier.none.fl_str_mv http://10.1002/wcms.1223
17590876
http://10.1002/wcms.1223
http://dspace.utpl.edu.ec/handle/123456789/18981
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv Wiley Interdisciplinary Reviews: Computational Molecular Science
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv Geometry
Linear algebra
Matrix algebra
Quantum theory
Vectors Application examples
Arbitrary sets
Arbitrary vectors
Molecular contribution
Notion of distance
Quantitative structures
Quantum mechanical
Quantum similarity
dc.title.none.fl_str_mv Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This study generalizes the notion of distance via defining an axiomatic collective distance, between arbitrary vector sets. A first part discusses conceptual tools, which can be later useful for general mathematical practice or as computational quantum similarity indices. After preliminary definitions, two elements, which can be associated with arbitrary sets of a vector space, are described: the centroid and the variance vectors. The Minkowski norm of the variance vector is shown to comply with the axioms of a collective distance. The role of the Gram matrix, associated with a vector set, is linked to the definition of numerical variance. Several simple application examples involving linear algebra and N-dimensional geometry are given. In a second part, all previous definitions are applied to quantum multimolecular polyhedra (QMP), where a set of molecular quantum mechanical density functions act as vertices. The numerical Minkowski norm of the variance vector in any QMP could be considered as a superposition of molecular contributions, corresponding to a new set of quantum similarity indices, which can generate intrinsic ordering among QMP vertices. In this way, the role of quantum similarity matrix elements is evidenced. Application to collections of molecular structures is analyzed as an illustrative practical exercise. The connection of the QMP framework with classical and quantum quantitative structure-properties relation (QSPR) becomes evident with the aid of numerical examples computed over several molecular sets acting as QMP. © 2015 John Wiley & Sons, Ltd.
eu_rights_str_mv openAccess
format article
id UTPL_92eb0e29dcf96153037a36a914f8f4e8
identifier_str_mv 17590876
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instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/18981
publishDate 2017
publisher.none.fl_str_mv Wiley Interdisciplinary Reviews: Computational Molecular Science
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedraBarragan Guerrero, D.Carbo Dorca, R.GeometryLinear algebraMatrix algebraQuantum theoryVectors Application examplesArbitrary setsArbitrary vectorsMolecular contributionNotion of distanceQuantitative structuresQuantum mechanicalQuantum similarityThis study generalizes the notion of distance via defining an axiomatic collective distance, between arbitrary vector sets. A first part discusses conceptual tools, which can be later useful for general mathematical practice or as computational quantum similarity indices. After preliminary definitions, two elements, which can be associated with arbitrary sets of a vector space, are described: the centroid and the variance vectors. The Minkowski norm of the variance vector is shown to comply with the axioms of a collective distance. The role of the Gram matrix, associated with a vector set, is linked to the definition of numerical variance. Several simple application examples involving linear algebra and N-dimensional geometry are given. In a second part, all previous definitions are applied to quantum multimolecular polyhedra (QMP), where a set of molecular quantum mechanical density functions act as vertices. The numerical Minkowski norm of the variance vector in any QMP could be considered as a superposition of molecular contributions, corresponding to a new set of quantum similarity indices, which can generate intrinsic ordering among QMP vertices. In this way, the role of quantum similarity matrix elements is evidenced. Application to collections of molecular structures is analyzed as an illustrative practical exercise. The connection of the QMP framework with classical and quantum quantitative structure-properties relation (QSPR) becomes evident with the aid of numerical examples computed over several molecular sets acting as QMP. © 2015 John Wiley & Sons, Ltd.Wiley Interdisciplinary Reviews: Computational Molecular Science2017-06-16T22:02:44Z2017-06-16T22:02:44Z01/09/2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://10.1002/wcms.122317590876http://10.1002/wcms.1223http://dspace.utpl.edu.ec/handle/123456789/18981Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:44Zoai:dspace.utpl.edu.ec:123456789/18981Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:44Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
Barragan Guerrero, D.
Geometry
Linear algebra
Matrix algebra
Quantum theory
Vectors Application examples
Arbitrary sets
Arbitrary vectors
Molecular contribution
Notion of distance
Quantitative structures
Quantum mechanical
Quantum similarity
status_str publishedVersion
title Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
title_full Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
title_fullStr Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
title_full_unstemmed Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
title_short Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
title_sort Communications on quantum similarity (4): Collective distances computed by means of similarity matrices, as generators of intrinsic ordering among quantum multimolecular polyhedra
topic Geometry
Linear algebra
Matrix algebra
Quantum theory
Vectors Application examples
Arbitrary sets
Arbitrary vectors
Molecular contribution
Notion of distance
Quantitative structures
Quantum mechanical
Quantum similarity
url http://10.1002/wcms.1223
http://dspace.utpl.edu.ec/handle/123456789/18981