Document Type
Article
Publication Date
1-1-1989
Abstract
Let S* be the space of termpered distributions with standard Gaussian measure μ. Let (S) ⊂ L2(μ) ⊂ (S)* be a Gel'fand triple over the white noise space (S*, μ). The S-transform (Sφ{symbol})(ζ) = ∫S* φ{symbol}(x + ζ) dμ(x), ζ ∈ S, on L2(μ) extends to a U-functional U[φ{symbol}](ζ) = «exp(·, ζ), φ{symbol} a ̊ exp( -∥ζ∥2 2), ζ ∈ S, on (S)*. Let D consist of φ{symbol} in (S)* such that U[φ{symbol}](-iζ1T) exp[-2-1 ∫Tζ(t)2 dt], ζ ∈ S, is a U-functional. The Fourier transform of φ{symbol} in D is defined as the generalized Brownian functional φ{symbol}̌ in (S)* such that U[φ{symbol}̌](ζ) = U[φ{symbol}](-iζ1T) exp[-2-1 ∫Tζ(t)2 dt], ζ ∈ S. Relations between the Fourier transform and the white noise differentiation ∂t and its adjoint ∂t* are proved. Results concerning the Fourier transform and the Gross Laplacian ΔG, the number operator N, and the Volterra Laplacian ΔV are obtained. In particular, (ΔG*φ{symbol})^ = -ΔG*φ{symbol}̌ and [(ΔV + N)φ{symbol}]^ = -(ΔV + N)φ{symbol}̌. Many examples of the Fourier transform are given. © 1989.
Publication Source (Journal or Book title)
Journal of Multivariate Analysis
First Page
311
Last Page
327
Recommended Citation
Kuo, H. (1989). The fourier transform in white noise calculus. Journal of Multivariate Analysis, 31 (2), 311-327. https://doi.org/10.1016/0047-259X(89)90069-9