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Several Open Problems

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Gaussian Random Functions

Part of the book series: Mathematics and Its Applications ((MAIA,volume 322))

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Abstract

We have established in Section 6 that, given a metric space (T, ρ) can be isometrically embedded into L1, there exists a Lévy Brownian function over (T, ρ), and moreover, one can construct an indicator model for this function. The converse is obviously true: If both a Brownian function and an indicator model for this function exist, then (T, ρ) may be isometrically embedded into L1. However, a more natural question is the following: Does the existence of a Brownian function imply that (T, ρ) may be isometrically embedded into L1? In the general case, the answer is in the negative. It turns out that all the metric subspaces of L1 possess a special property, they are hypermetric; but an example may be given of a metric space with a finite number of points, with a Brownian function defined on it, which is however not hypermetric (see [Assl-Ass4]). Nevertheless, for the class of normed spaces, the existence of a Brownian function implies that the space may be embedded into L1, and hence an indicator model exists [B—DC—K, Gag]. A similar statement is apparently true for a wider class of spaces, for instance, for the homogeneous spaces. The homogeneity may be interpreted, for example, in the same sense as it was done in Theorem 15.3, when we considered the continuity conditions. We formulate this conjecture as the following problem (in this section, we say ‘problem’ to describe a statement to be proved or refuted; certain elements of the assumptions involved may be loosely interpreted or require some additional adjustments).

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© 1995 Springer Science+Business Media Dordrecht

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Lifshits, M.A. (1995). Several Open Problems. In: Gaussian Random Functions. Mathematics and Its Applications, vol 322. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8474-6_19

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  • DOI: https://doi.org/10.1007/978-94-015-8474-6_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4528-7

  • Online ISBN: 978-94-015-8474-6

  • eBook Packages: Springer Book Archive

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