AbstractLet S be the Schwartz space of rapidly decreasing real functions. The dual space S∗ consists of the tempered distributions and the relation S ⊂ L2(R) ⊂ S∗ holds. Let γ be the Gaussian white noise on S∗ with the characteristic functional γ(ξ) = exp{−∥ξ∥2/2}, ξ ∈ S, where ∥·∥ is the L2(R)-norm. Let ν be the Poisson white noise on S∗ with the characteristic functional ν(ξ) = expϒR∫R {[exp(iξ(t)u)] − 1 − (1 + u2)−1(iξ(t)u)} dη(u)dt), ξ ∈ S, where the Lévy measure is assumed to satisfy the condition ∫Ru2dη(u) < ∞. It is proved that γ∗ν has the same dichotomy property for shifts as the Gaussian white noise, i.e., for any ω ∈ S∗, the shift (γ∗ν)ω of γ∗ν by ω and γ∗ν are either equivalent or orthogonal. They are equivalent if and only if wh...
It is possible to construct Levy white noises as generalized random processes in the sense of Gel'fa...
This thesis is composed of two parts, each part treating a different problem from the theory of Harm...
We develop a white noise framework and the theory of stochastic distribution spaces for Hilbert spac...
Let S be the Schwartz space of rapidly decreasing real functions. The dual space S* consists of the ...
AbstractLet S be the Schwartz space of rapidly decreasing real functions. The dual space S∗ consists...
Translations and scalings defined on the Schwartz space of tempered distributions induce continuous ...
AbstractTranslations and scalings defined on the Schwartz space of tempered distributions induce con...
Let 0* be the space of termpered distributions with standard Gaussian measure [mu]. Let (0) [subset ...
We develop a white noise calculus for pure jump Lévy processes on the Poisson space. This theory cov...
It has been often said that white noise calculus is founded on an infinite dimensional analogue of S...
AbstractLet (L2)Ḃ− and (L2)ḃ− be the spaces of generalized Brownian functionals of the white noise...
We introduce the concept of functional process and consider the stochastic boundary value problem an...
We develop a white noise calculus for pure jump Lévy processes on Poisson space. This theory covers ...
The paper describes the structure of a new space of generalized Wiener functionals, (D∞)*, called th...
<p>The operators of stochastic differentiation, which are closely related with the extended Skorohod...
It is possible to construct Levy white noises as generalized random processes in the sense of Gel'fa...
This thesis is composed of two parts, each part treating a different problem from the theory of Harm...
We develop a white noise framework and the theory of stochastic distribution spaces for Hilbert spac...
Let S be the Schwartz space of rapidly decreasing real functions. The dual space S* consists of the ...
AbstractLet S be the Schwartz space of rapidly decreasing real functions. The dual space S∗ consists...
Translations and scalings defined on the Schwartz space of tempered distributions induce continuous ...
AbstractTranslations and scalings defined on the Schwartz space of tempered distributions induce con...
Let 0* be the space of termpered distributions with standard Gaussian measure [mu]. Let (0) [subset ...
We develop a white noise calculus for pure jump Lévy processes on the Poisson space. This theory cov...
It has been often said that white noise calculus is founded on an infinite dimensional analogue of S...
AbstractLet (L2)Ḃ− and (L2)ḃ− be the spaces of generalized Brownian functionals of the white noise...
We introduce the concept of functional process and consider the stochastic boundary value problem an...
We develop a white noise calculus for pure jump Lévy processes on Poisson space. This theory covers ...
The paper describes the structure of a new space of generalized Wiener functionals, (D∞)*, called th...
<p>The operators of stochastic differentiation, which are closely related with the extended Skorohod...
It is possible to construct Levy white noises as generalized random processes in the sense of Gel'fa...
This thesis is composed of two parts, each part treating a different problem from the theory of Harm...
We develop a white noise framework and the theory of stochastic distribution spaces for Hilbert spac...