2003
DOI: 10.1023/a:1024159908410
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Cited by 32 publications
(10 citation statements)
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“…Let {e j } ∞ j=1 be an orthonormal basis in the space H. The family of H-valued functions of the form {h α e j } α∈T ,j∈N forms an orthogonal basis of (L 2 )(H). Elements f ∈ (L 2 )(H) are expanded in Fourier series in this basis as follows [4][5][6]:…”
Section: Spaces Of H-valued Generalized Random Variablesmentioning
confidence: 99%
“…Let {e j } ∞ j=1 be an orthonormal basis in the space H. The family of H-valued functions of the form {h α e j } α∈T ,j∈N forms an orthogonal basis of (L 2 )(H). Elements f ∈ (L 2 )(H) are expanded in Fourier series in this basis as follows [4][5][6]:…”
Section: Spaces Of H-valued Generalized Random Variablesmentioning
confidence: 99%
“…We define the white noise process W as an ω mea surable generalized (in t) function with values in ‫.ވ‬ One of the ways of such a definition is based on ideas of abstract stochastic distributions (see, e.g., [5,2]). Let = (‫)ޒ‬ be the space of rapidly decreasing func tions.…”
Section: Definition Of the White Noise Process As An Element Of The Smentioning
confidence: 99%
“…problem of determining white noise and the problem related to the unboundedness of the solution operators of the homogeneous problem have been overcome; namely, solutions generalized in the time variable, the random variable, and the variable of the space H have been constructed [2,5]. However, for the nonlinear problem (1), such an approach involves multiplying generalized functions, which are, in addition, Hilbert valued.…”
Section: Introductionmentioning
confidence: 99%
“…We also note the approach presented by the school of I.V. Melnikova, in which equation (4) is considered in Schwartz spaces, where the generalized derivative of a Wiener Kprocess makes sense [3]. Meanwhile, a new approach is actively developing in the studies of equation (4) …”
mentioning
confidence: 99%
“…Fix τ 0 = 0, τ j ∈ R + (τ j−1 < τ j ), u j ∈ U, j = 0, n, and consider the multipoint initial-nal value condition (6) for a linear Sobolev type equation (3)…”
mentioning
confidence: 99%