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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2017
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| Online adgang: | http://10.1002/wcms.1223 http://dspace.utpl.edu.ec/handle/123456789/18981 |
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| _version_ | 1858999310110162944 |
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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 |
| instacron_str | UTPL |
| institution | UTPL |
| 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 |