“…Together with the white noise space these two spaces form the Gelfand triple (S 1 , W, S −1 ), which plays a key role in the stochastic analysis in [20], and in the theory of stochastic linear systems and stochastic integration developped in [6,2,3,5,1]. The reason of the importance of this triple is the following result, see [20], which allows to work locally in a Hilbert space setting.…”