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Part of the book series: Progress in Probability ((PRPR,volume 30))

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Abstract

Throughout this paper E will denote a separable Banach space and γ will be a full centered Gaussian measure on E. Define an operator S: E’E by S f = ∫ x f(x)γ(dx), and a scalar product <, >γ on SE’ by

$$ <Sf,Sg>_\gamma =\int f(x)g(x)\gamma(dx) $$

The completion of S E’ with respect to the norm ∥x;∥γ = √<x,x >γ is denoted by Hγ and called the reproducing kernel Hilbert space of γ. Since

$$||Sf||\leq _{||g||E^{*}\leq1}^<Superscript>p</Superscript>[\int g^{2}(x)\gamma(dx)]^{1/2}\cdot ||Sf||_{\gamma} $$

can and will be viewed as a subset of E. For details on the construction and properties of the reproducing kernel Hilbert space we refer the reader to [2] or [5].

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© 1992 Springer Science+Business Media New York

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Slaby, M. (1992). On Large Deviations of Gaussian Measures in Banach Spaces. In: Dudley, R.M., Hahn, M.G., Kuelbs, J. (eds) Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference. Progress in Probability, vol 30. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0367-4_15

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  • DOI: https://doi.org/10.1007/978-1-4612-0367-4_15

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6728-7

  • Online ISBN: 978-1-4612-0367-4

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