On Fourier transform of generalized Brownian functionals
Let 4 and 4 be the spaces of generalized Brownian functionals of the white noises B and b, respectively. A Fourier transform from 4 into 4 is defined by [phi](b) = [integral operator]0*: exp[-i [integral operator]1b(t) B(t) dt]: 1), where : : denotes the renormalization with respect to b and [mu] is the standard Gaussian measure on the space 0* of tempered distributions. It is proved that the Fourier transform carries B(t)-differentiation into multiplication by ib(t). The integral representation and the action of[phi] as a generalized Brownian functional are obtained. Some examples of Fourier transform are given.
Year of publication: |
1982
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Authors: | Kuo, Hui-Hsiung |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 12.1982, 3, p. 415-431
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Publisher: |
Elsevier |
Keywords: | B(t)-differentiation B(t)-multiplication generalized multiple Wiener integral integral representation theorem renormalization test functional white noise Wiener-Ito decomposition theorem |
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