A Panorama of Modern Operator Theory and Related Topics 2012
DOI: 10.1007/978-3-0348-0221-5_1
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An Interpolation Problem for Functions with Values in a Commutative Ring

Abstract: It was recently shown that the theory of linear stochastic systems can be viewed as a particular case of the theory of linear systems on a certain commutative ring of power series in a countable number of variables. In the present work we study an interpolation problem in this setting. A key tool is the principle of permanence of algebraic identities.1991 Mathematics Subject Classification. 60H40, 93C05. Key words and phrases. white noise space, stochastic distributions, linear systems on rings.D. Alpay thanks… Show more

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Cited by 4 publications
(4 citation statements)
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“…Moreover, extensions given by Eq. (1.2) contrasts with the one done, for instance, in the study of white noise space, where, with exception of 5 , the complex coefficients of the power series (and not the variable) in Eq. (1.1) are replaced by elements that take value in the space of stochastic distributions S −1 .…”
Section: Introductionmentioning
confidence: 65%
“…Moreover, extensions given by Eq. (1.2) contrasts with the one done, for instance, in the study of white noise space, where, with exception of 5 , the complex coefficients of the power series (and not the variable) in Eq. (1.1) are replaced by elements that take value in the space of stochastic distributions S −1 .…”
Section: Introductionmentioning
confidence: 65%
“…Moreover, extensions given by Eq. (1.2) contrasts with the one done, for instance, in the study of white noise space, where, with exception of [1], the complex coefficients of the power series (and not the variable) in Eq. (1.1) are replaced by elements that take value in the space of stochastic distributions S −1 .…”
Section: Introductionmentioning
confidence: 65%
“…Theorem 3.2. Let K(z, w) be a K p×p -valued function, entire in z and w. Then: (1) For every pair (z, w) ∈ K 2 , the semi-infinite block matrix…”
Section: Analytic Kernels For Entire Functionsmentioning
confidence: 99%
“…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.…”
Section: Commutative White Noise Spacementioning
confidence: 99%