In the recent years, the dual pair of smooth and generalized random variables on the White Noise space, (S) and (S)*, has found many applications. For example, stochastic (partial) differential equations [L0U 90, L0U 91, Po 92, Po 93], quantum field theory [PS 93] and Feynman integrals [FPS 91, KS 92, LLS 93]. The main advantage of (S) and (S)* is the S-Transform, which in a nice way characterizes the pair. This transform maps generalized Hida distributions into a space of complex valued functions on S(IR). This space of functions is called the space of U-functionals. Moreover, the S-Transform turns out to be a bijection onto this space [PS 91]. In most applications, one is really working on the space of U-functionals. For this reason, it i...
AbstractIn the framework of white noise analysis a Gel'fand triple (L)⊂(L2)⊂(L)∗ has been defined (e...
Abstract: In this paper we introduce the hermitean ultradistributions by a duality argument. The met...
AbstractAfter a discussion of a space of test functions and the corresponding space of distributions...
In the recent years, the dual pair of smooth and generalized random variables on the White Noise spa...
AbstractThe space (S)∗ of Hida distributions is characterized in terms of analytic properties of the...
In White Noise Analysis (WNA), various random quantities are analyzed as Hida distributions ([1]). T...
A dual pair G and G* of smooth and generalized random variables, respectively, over the white noise ...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
The main notions and tools from white noise analysis are set up on the basis of the calculus of Gaus...
In this paper we discuss some recent developments in the theory of gene-ralized functionals of Brown...
AbstractIn this paper, a theory of generalized functions is established on an arbitrary abstract Wie...
Let E be a real Hilbert space and A a densely defined linear operator on E satisfying certain condit...
We introduce and study new distribution spaces, the test function space $\mathcal{D}_E$ and its stro...
AbstractLet E be a real Hilbert space and A a densely defined linear operator on E satisfying certai...
In this paper we develop a framework to extend the theory of generalized stochastic processes in the...
AbstractIn the framework of white noise analysis a Gel'fand triple (L)⊂(L2)⊂(L)∗ has been defined (e...
Abstract: In this paper we introduce the hermitean ultradistributions by a duality argument. The met...
AbstractAfter a discussion of a space of test functions and the corresponding space of distributions...
In the recent years, the dual pair of smooth and generalized random variables on the White Noise spa...
AbstractThe space (S)∗ of Hida distributions is characterized in terms of analytic properties of the...
In White Noise Analysis (WNA), various random quantities are analyzed as Hida distributions ([1]). T...
A dual pair G and G* of smooth and generalized random variables, respectively, over the white noise ...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
The main notions and tools from white noise analysis are set up on the basis of the calculus of Gaus...
In this paper we discuss some recent developments in the theory of gene-ralized functionals of Brown...
AbstractIn this paper, a theory of generalized functions is established on an arbitrary abstract Wie...
Let E be a real Hilbert space and A a densely defined linear operator on E satisfying certain condit...
We introduce and study new distribution spaces, the test function space $\mathcal{D}_E$ and its stro...
AbstractLet E be a real Hilbert space and A a densely defined linear operator on E satisfying certai...
In this paper we develop a framework to extend the theory of generalized stochastic processes in the...
AbstractIn the framework of white noise analysis a Gel'fand triple (L)⊂(L2)⊂(L)∗ has been defined (e...
Abstract: In this paper we introduce the hermitean ultradistributions by a duality argument. The met...
AbstractAfter a discussion of a space of test functions and the corresponding space of distributions...