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Locally Isometric Embeddings of Graphs and the Metric Prolongation Property

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Discrete Analysis and Operations Research

Part of the book series: Mathematics and Its Applications ((MAIA,volume 355))

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Abstract

In [1] we have introduced a 2-parametric family of mappings of metric spaces which preserve proximity and proximity relations. In [1] we also established some properties and presented constructions of embeddings of some spaces within the class of such mappings. Furthermore, [1] (see also [2]-[5]) indicates connections with some theoretical and practical problems. In this paper we study locally isometric embeddings of graphs in connection with the metric prolongation property introduced in [1]. The paper contains strengthened versions of some results of [1]. We prove an embedding theorem for graphs without subgraphs of some special kind. We also show that almost all graphs satisfy the metric prolongation property.

This research partially supported by the Russian Foundation for Fundamental Research (Grant 91–01–01484).

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References

  1. A. A. Evdokimov (1988) Metric properties of embeddings, and the codes preserving distances (in Russian), in: Modeli i Metody Optimizatsii, Trudy Inst. Mat. Vol. 10, Novosibirsk, pp. 116–132.

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  2. T. I. Fedoryaeva (1988) Characterization of a class of graphs with the metric prolongation property (in Russian), Metody Diskret Analiz. 47, 89–93.

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  4. A. A. Evdokimov (1988) Coding analogous data and locally isometric embed-dings of discrete spaces (in Russian), in: Abstracts of the 9th All-Union Conference on Coding Theory and Information Transmission, Odessa, pp. 317–318.

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  5. T. I. Fedoryaeva (1992) Strengthened properties of the metric prolongation (in Russian) Metody Diskret. Analiz. 52, 112–118.

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© 1996 Kluwer Academic Publishers

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Evdokimov, A.A. (1996). Locally Isometric Embeddings of Graphs and the Metric Prolongation Property. In: Korshunov, A.D. (eds) Discrete Analysis and Operations Research. Mathematics and Its Applications, vol 355. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1606-7_2

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  • DOI: https://doi.org/10.1007/978-94-009-1606-7_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7217-5

  • Online ISBN: 978-94-009-1606-7

  • eBook Packages: Springer Book Archive

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