On Matthews’ Relationship Between Quasi-Metrics and Partial Metrics: An Aggregation Perspective

Borsík and Doboš studied the problem of how to merge a family of metric spaces into a single one through a function. They called such functions metric preserving and provided a characterization of them in terms of the so-called triangle triplets. Since then, different papers have extended their stud...

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Veröffentlicht in:Resultate der Mathematik Jg. 75; H. 2
Hauptverfasser: Miñana, Juan-José, Valero, Oscar
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.04.2020
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ISSN:1422-6383, 1420-9012
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Abstract Borsík and Doboš studied the problem of how to merge a family of metric spaces into a single one through a function. They called such functions metric preserving and provided a characterization of them in terms of the so-called triangle triplets. Since then, different papers have extended their study to the case of generalized metric spaces. Concretely, Mayor and Valero (Inf Sci 180:803–812, 2010) provided two characterizations of those functions, called quasi-metric aggregation functions, that allows us to merge a collection of quasi-metric spaces into a new one. In Massanet and Valero (in: Sainz-Palmero et al (eds) Proceedings of the 16th Spanish conference on fuzzy technology and fuzzy logic, European Society for Fuzzy Logic and Techonology, Valladolid, 2012) gave a characterization of the functions, called partial metric aggregation function, that are useful for merging a collection of partial metric spaces into single one as final output. Inspired by the preceding work, Martín et al. (in: Bustince et al (eds) Aggregation functions in theory and in practice. Advances in intelligent systems and computing, vol 228, Springer, Berlin, 2013) addressed the problem of constructing metrics from quasi-metrics, in a general way, using a class of functions that they called metric generating functions. In particular, they solved the posed problem providing a characterization of such functions and, thus, all ways under which a metric can be induced from a quasi-metric from an aggregation viewpoint. Following this idea, we propose the same problem in the framework of partial metric spaces. So, we characterize those functions that are able to generate a quasi-metric from a partial metric, and conversely, in such a way that Matthews’ relationship between both type of generalized metrics is retrieved as a particular case. Moreover, we study if both, the partial order and the topology induced by a partial metric or a quasi-metric, respectively, are preserved by the new method in the spirit of Matthews. Furthermore, we discuss the relationship between the new functions and those families introduced in the literature, i.e., metric preserving functions, quasi-metric aggregation functions, partial metric aggregation functions and metric generating functions.
AbstractList Borsík and Doboš studied the problem of how to merge a family of metric spaces into a single one through a function. They called such functions metric preserving and provided a characterization of them in terms of the so-called triangle triplets. Since then, different papers have extended their study to the case of generalized metric spaces. Concretely, Mayor and Valero (Inf Sci 180:803–812, 2010) provided two characterizations of those functions, called quasi-metric aggregation functions, that allows us to merge a collection of quasi-metric spaces into a new one. In Massanet and Valero (in: Sainz-Palmero et al (eds) Proceedings of the 16th Spanish conference on fuzzy technology and fuzzy logic, European Society for Fuzzy Logic and Techonology, Valladolid, 2012) gave a characterization of the functions, called partial metric aggregation function, that are useful for merging a collection of partial metric spaces into single one as final output. Inspired by the preceding work, Martín et al. (in: Bustince et al (eds) Aggregation functions in theory and in practice. Advances in intelligent systems and computing, vol 228, Springer, Berlin, 2013) addressed the problem of constructing metrics from quasi-metrics, in a general way, using a class of functions that they called metric generating functions. In particular, they solved the posed problem providing a characterization of such functions and, thus, all ways under which a metric can be induced from a quasi-metric from an aggregation viewpoint. Following this idea, we propose the same problem in the framework of partial metric spaces. So, we characterize those functions that are able to generate a quasi-metric from a partial metric, and conversely, in such a way that Matthews’ relationship between both type of generalized metrics is retrieved as a particular case. Moreover, we study if both, the partial order and the topology induced by a partial metric or a quasi-metric, respectively, are preserved by the new method in the spirit of Matthews. Furthermore, we discuss the relationship between the new functions and those families introduced in the literature, i.e., metric preserving functions, quasi-metric aggregation functions, partial metric aggregation functions and metric generating functions.
ArticleNumber 47
Author Valero, Oscar
Miñana, Juan-José
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Cites_doi 10.1007/978-3-662-03961-8
10.24193/fpt-ro.2018.2.55
10.1007/978-3-642-00234-2
10.1186/1687-1812-2013-118
10.1016/S0895-7177(02)00100-0
10.1111/j.1749-6632.1994.tb44144.x
10.1016/S1571-0661(04)80764-3
10.1016/j.fss.2012.08.009
10.1017/CBO9781139524438
10.1080/00207160.2012.659246
10.1016/S1571-0661(04)00029-5
10.1155/2013/985095
10.1080/00207161003631885
10.1016/j.ins.2009.06.020
10.1016/j.is.2007.03.001
10.1016/j.topol.2012.11.004
10.1016/S0166-8641(98)00102-3
10.1016/0304-3975(95)00051-W
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Keywords partial metric generating
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quasi-metric space
aggregation function
Partial metric space
quasi-metric generating
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References MatthewsSGAn extensional treatment of lazy data flow deadlockTheor. Comput. Sci.1995151195205136215310.1016/0304-3975(95)00051-W
RomagueraSSchellekensMPQuasi-metric properties of complexity spacesTopol. Its Appl.199998311322172000910.1016/S0166-8641(98)00102-3
García-RaffiLMRomagueraSSánchez-PérezEASequence spaces and asymmetric norms in the theory of computational complexityMath. Comput. Modell.200236111192505510.1016/S0895-7177(02)00100-0
ShahzadNValeroOFixed point theorems in quasi-metric spaces and the specialization partial orderFixed Point Theory2018192733750382179410.24193/fpt-ro.2018.2.55
Goubault-LarrecqJNon-Hausdorff Topology and Domain Theory2013New YorkCambridge University Press10.1017/CBO9781139524438
RomagueraSTiradoPValeroONew results on mathematical foundations of asymptotic complexity analysis of algorithms via complexity spaceInt. J. Comput. Math.20128917281741296751310.1080/00207160.2012.659246
MayorGValeroOAggregation of asymmetric distances in computer scienceInf. Sci.2010180803812257834610.1016/j.ins.2009.06.020
RomagueraSSchellekensMPValeroOThe complexity space of partial functions: a connection between complexity analysis and denotational semanticsInt. J. Comput. Math.20118818191829281086410.1080/00207161003631885
HitzlerPSedaAKMathematical Aspects of Logic Programming Semantics2010Boca RatonCRC Press1219.68085
MartínJMayorGValeroOOn quasi-metric aggregation functions and fixed point theoremsFuzzy Sets Syst.201322888104309241810.1016/j.fss.2012.08.009
BorsíkJDobošJOn a product of metric spacesMathematica Slovaka1981311932050562.54016
MatthewsSGPartial metric topologyAnn. N. Y. Acad. Sci.1994728183197146777310.1111/j.1749-6632.1994.tb44144.x
SchellekensMPThe Smyth completion: a common foundation for denotational semantics and complexity analysisElectron. Notes Theor. Comput. Sci.19951211232148686410.1016/S1571-0661(04)00029-5
AlghamdiMAShahzadNValeroOFixed point theorems in generalized metric spaces with applications to computer scienceFixed Point Theory Appl.20132013118306401210.1186/1687-1812-2013-118
DezaMMDezaEEncyclopedia of Distances2009BerlinSpringer10.1007/978-3-642-00234-2
Massanet, S., Valero, O.: New results on metrics aggregation. In: Sainz-Palmero, G.I. et al. (eds.) Proceedings of the 16th Spanish Conference on Fuzzy Technology and Fuzzy Logic, European Society for Fuzzy Logic and Techonology, Valladolid, pp. 558–563 (2012)
RomagueraSValeroOAfzalMAsymptotic complexity analysis and denotational semantics for recursive programs based on complexity spacesSemantics Advances in Theories and Mathematical Models2012RijekaInTech Open Science99120
PestovVStojmirovićAIndexing schemes for similarity search: an illustrated paradigmFundamenta Informaticae20067036738522469801095.68580
García-RaffiLMRomagueraSSánchez-PérezEAThe supremum asymmetric norm on sequence algebras: a general framework to measure complexity spacesElectron. Notes Theor. Comput. Sci.200374395010.1016/S1571-0661(04)80764-3
HaghiRHRezapourShShahzadNBe careful on partial metric fixed point resultsTopol. Its Appl.20131603450454301035010.1016/j.topol.2012.11.004
DobošJMetric Preserving Functions1998KošiceŠtroffek0942.26010
Shahzad, N., Valero, O.: On 0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0$$\end{document}-complete partial metric spaces and quantitative fixed point techniques in Denotational Semantics. Abstr. Appl. Anal. 2013, 11, Article ID 985095
RomagueraSSánchez-PérezEAValeroOComputing complexity distances between algorithmsKybernetika20033956958220423421249.54069
PestovVStojmirovićAIndexing schemes for similarity search in datasets of short protein fragmentsInf. Syst.2007321145116510.1016/j.is.2007.03.001
AliprantisCDBorderKCInfinite Dimensional Analysis1999HeidelbergSpringer10.1007/978-3-662-03961-8
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J Doboš (1173_CR5) 1998
G Mayor (1173_CR16) 2010; 180
S Romaguera (1173_CR22) 2011; 88
N Shahzad (1173_CR26) 2018; 19
J Borsík (1173_CR3) 1981; 31
J Martín (1173_CR11) 2013
SG Matthews (1173_CR15) 1995; 151
S Romaguera (1173_CR24) 2012
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RH Haghi (1173_CR9) 2013; 160
SG Matthews (1173_CR14) 1994; 728
S Romaguera (1173_CR21) 1999; 98
J Martín (1173_CR12) 2013; 228
LM García-Raffi (1173_CR7) 2002; 36
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– reference: MayorGValeroOAggregation of asymmetric distances in computer scienceInf. Sci.2010180803812257834610.1016/j.ins.2009.06.020
– reference: MatthewsSGAn extensional treatment of lazy data flow deadlockTheor. Comput. Sci.1995151195205136215310.1016/0304-3975(95)00051-W
– reference: RomagueraSSchellekensMPValeroOThe complexity space of partial functions: a connection between complexity analysis and denotational semanticsInt. J. Comput. Math.20118818191829281086410.1080/00207161003631885
– reference: AlghamdiMAShahzadNValeroOFixed point theorems in generalized metric spaces with applications to computer scienceFixed Point Theory Appl.20132013118306401210.1186/1687-1812-2013-118
– reference: RomagueraSSchellekensMPQuasi-metric properties of complexity spacesTopol. Its Appl.199998311322172000910.1016/S0166-8641(98)00102-3
– reference: RomagueraSTiradoPValeroONew results on mathematical foundations of asymptotic complexity analysis of algorithms via complexity spaceInt. J. Comput. Math.20128917281741296751310.1080/00207160.2012.659246
– reference: ShahzadNValeroOFixed point theorems in quasi-metric spaces and the specialization partial orderFixed Point Theory2018192733750382179410.24193/fpt-ro.2018.2.55
– reference: MartínJMayorGValeroOBustinceHOn the symmetrization of quasi-metrics: an aggregation perspectiveAggregation Functions in Theory and in Practice. Advances in Intelligent Systems and Computing2013BerlinSpringer3193311277.28025
– reference: SchellekensMPThe Smyth completion: a common foundation for denotational semantics and complexity analysisElectron. Notes Theor. Comput. Sci.19951211232148686410.1016/S1571-0661(04)00029-5
– reference: RomagueraSSánchez-PérezEAValeroOComputing complexity distances between algorithmsKybernetika20033956958220423421249.54069
– reference: PestovVStojmirovićAIndexing schemes for similarity search: an illustrated paradigmFundamenta Informaticae20067036738522469801095.68580
– reference: MartínJMayorGValeroOOn quasi-metric aggregation functions and fixed point theoremsFuzzy Sets Syst.201322888104309241810.1016/j.fss.2012.08.009
– reference: PestovVStojmirovićAIndexing schemes for similarity search in datasets of short protein fragmentsInf. Syst.2007321145116510.1016/j.is.2007.03.001
– reference: DezaMMDezaEEncyclopedia of Distances2009BerlinSpringer10.1007/978-3-642-00234-2
– reference: DobošJMetric Preserving Functions1998KošiceŠtroffek0942.26010
– reference: Shahzad, N., Valero, O.: On 0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0$$\end{document}-complete partial metric spaces and quantitative fixed point techniques in Denotational Semantics. Abstr. Appl. Anal. 2013, 11, Article ID 985095
– reference: García-RaffiLMRomagueraSSánchez-PérezEASequence spaces and asymmetric norms in the theory of computational complexityMath. Comput. Modell.200236111192505510.1016/S0895-7177(02)00100-0
– reference: Massanet, S., Valero, O.: New results on metrics aggregation. In: Sainz-Palmero, G.I. et al. (eds.) Proceedings of the 16th Spanish Conference on Fuzzy Technology and Fuzzy Logic, European Society for Fuzzy Logic and Techonology, Valladolid, pp. 558–563 (2012)
– reference: HitzlerPSedaAKMathematical Aspects of Logic Programming Semantics2010Boca RatonCRC Press1219.68085
– reference: AliprantisCDBorderKCInfinite Dimensional Analysis1999HeidelbergSpringer10.1007/978-3-662-03961-8
– reference: HaghiRHRezapourShShahzadNBe careful on partial metric fixed point resultsTopol. Its Appl.20131603450454301035010.1016/j.topol.2012.11.004
– reference: MatthewsSGPartial metric topologyAnn. N. Y. Acad. Sci.1994728183197146777310.1111/j.1749-6632.1994.tb44144.x
– reference: Goubault-LarrecqJNon-Hausdorff Topology and Domain Theory2013New YorkCambridge University Press10.1017/CBO9781139524438
– reference: García-RaffiLMRomagueraSSánchez-PérezEAThe supremum asymmetric norm on sequence algebras: a general framework to measure complexity spacesElectron. Notes Theor. Comput. Sci.200374395010.1016/S1571-0661(04)80764-3
– reference: BorsíkJDobošJOn a product of metric spacesMathematica Slovaka1981311932050562.54016
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Snippet Borsík and Doboš studied the problem of how to merge a family of metric spaces into a single one through a function. They called such functions metric...
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Title On Matthews’ Relationship Between Quasi-Metrics and Partial Metrics: An Aggregation Perspective
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