In the recent development of white noise theory the framework proposed by Cochran-KuO-Sengupta [4] has become more important for their characterization theorems, see also [1]. In fact, much attention has been paid to characterization theorems for the test functions $\mathcal{W} $ , for the generalized functions $\mathcal{W}^{*} $ , for white noise operators $\mathcal{L}(\mathcal{W}, \mathcal{W}^{*}) $ and for $\mathcal{L}(\mathcal{W}, \mathcal{W}) $. As was pointed out first by Chung-Chung-Ji [2], those characterization theorems are related each other however the statements are not unified because their objects are different so far as we are concerned with asingle CKS-space over aparticular underlying Gelfand triple. In this paper, using th...
KUO HH, POTTHOFF J, Streit L. A CHARACTERIZATION OF WHITE-NOISE TEST FUNCTIONALS. NAGOYA MATHEMATICA...
Gel'fand triples of test and generalized functionals in Gaussian spaces are constructed and characte...
A dual pair G and G* of smooth and generalized random variables, respectively, over the white noise ...
AbstractIt is shown that the second quantization Γ(K) for a continuous linear operator K on a certai...
A brief introduction to Gaussian White Noise Analysisinfo:eu-repo/semantics/publishedVersio
During the last decade the white noise calculus, launched out by T. Hida [8] in 1975, has developed ...
AbstractIt is shown that the space (J) of test white noise functionals has an analytic version A∞ wh...
This paper is devoted to construction and investigation of explicit forms of Wick tensor powers in g...
It has been often said that white noise calculus is founded on an infinite dimensional analogue of S...
Kondratiev Y, Lytvynov EW. Operators of Gamma white noise calculus. INFINITE DIMENSIONAL ANALYSIS QU...
Let {a(n); n ≥ 0} be a sequence of positive numbers satisfying certain conditions. A Gel\u27fand tri...
In White Noise Analysis (WNA), various random quantities are analyzed as Hida distributions ([1]). T...
General structures of Poissonian white noise analysis are presented.Simultaneously, the theory is de...
White Noise Calculus is a distribution theory on Gaussian space, proposed by T. Hida in 1975. This a...
Kondrat'ev YG, Streit L. Spaces of White Noise distributions: constructions, descriptions, applicati...
KUO HH, POTTHOFF J, Streit L. A CHARACTERIZATION OF WHITE-NOISE TEST FUNCTIONALS. NAGOYA MATHEMATICA...
Gel'fand triples of test and generalized functionals in Gaussian spaces are constructed and characte...
A dual pair G and G* of smooth and generalized random variables, respectively, over the white noise ...
AbstractIt is shown that the second quantization Γ(K) for a continuous linear operator K on a certai...
A brief introduction to Gaussian White Noise Analysisinfo:eu-repo/semantics/publishedVersio
During the last decade the white noise calculus, launched out by T. Hida [8] in 1975, has developed ...
AbstractIt is shown that the space (J) of test white noise functionals has an analytic version A∞ wh...
This paper is devoted to construction and investigation of explicit forms of Wick tensor powers in g...
It has been often said that white noise calculus is founded on an infinite dimensional analogue of S...
Kondratiev Y, Lytvynov EW. Operators of Gamma white noise calculus. INFINITE DIMENSIONAL ANALYSIS QU...
Let {a(n); n ≥ 0} be a sequence of positive numbers satisfying certain conditions. A Gel\u27fand tri...
In White Noise Analysis (WNA), various random quantities are analyzed as Hida distributions ([1]). T...
General structures of Poissonian white noise analysis are presented.Simultaneously, the theory is de...
White Noise Calculus is a distribution theory on Gaussian space, proposed by T. Hida in 1975. This a...
Kondrat'ev YG, Streit L. Spaces of White Noise distributions: constructions, descriptions, applicati...
KUO HH, POTTHOFF J, Streit L. A CHARACTERIZATION OF WHITE-NOISE TEST FUNCTIONALS. NAGOYA MATHEMATICA...
Gel'fand triples of test and generalized functionals in Gaussian spaces are constructed and characte...
A dual pair G and G* of smooth and generalized random variables, respectively, over the white noise ...