1990
DOI: 10.4153/cjm-1990-046-8
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Stochastic Fubini Theorem for Semimartingales in Hilbert Space

Abstract: In this paper we will study the Fubini theorem for stochastic integrals with respect to semimartingales in Hilbert space.Let (Ω, , P) he a probability space, (X, , μ) a measure space, H and G two Hilbert spaces, L(H, G) the space of bounded linear operators from H into G, Z an H-valued semimartingale relative to a given filtration, and φ: X × R+ × Ω → L(H, G) a function such that for each t ∈ R+ the iterated integrals are well-defined (the integrals with respect to μ are Bochner integrals). It is often necess… Show more

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Cited by 6 publications
(12 citation statements)
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“…(ii) Note that the conclusion of the theorem is similar to that of Theorem 3.4 in [11] where ~o(x) is {~}-adapted. (3.2) and (3.3) hold.…”
Section: Fubini Theorem For Anticipating Integralssupporting
confidence: 53%
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“…(ii) Note that the conclusion of the theorem is similar to that of Theorem 3.4 in [11] where ~o(x) is {~}-adapted. (3.2) and (3.3) hold.…”
Section: Fubini Theorem For Anticipating Integralssupporting
confidence: 53%
“…In the case where integrands are "adapted" to a given filtration, Le6n [11] established a result which generalizes those of [3], [6], [7], and [12], and in the case where the integrands are real-valued and "anticipating" with respect to the given filtration, Berger [1] used the homogeneous chaos expansion of the integrands to prove a similar result to that of [11].…”
Section: Introductionmentioning
confidence: 91%
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“…where S ij (t) denotes the (i, j)-th entry of the operator matrix S(t). A further computation (which is elementary, apart of having to appeal to a general stochastic Fubini's theorem such as the one in [22]) shows that a mild solution satisfies the Duhamel's formulation u(t) + Consider the regularized equation…”
Section: Proof Of Theoremmentioning
confidence: 99%