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Fubini theorem for anticipating stochastic integrals in Hilbert space

Fubini theorem for anticipating stochastic integrals in Hilbert space Let (X,l,μ) be a measure space, letW be a cylindrical Hilbert-Wiener process, and letϕ be an anticipating integrable process-valued function onX. We prove, under natural assumptions onϕ, that there exists a measurable version Yx,x εX, of the anticipating integral ofϕ(x) such that the integral ∫x Yxμ(dx) is a version of the anticipating integral of ∫X ϕ(x)μ(dx). We apply this anticipating Fubini theorem to study solutions of a class of stochastic evolution equations in Hilbert space. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Mathematics and Optimization Springer Journals

Fubini theorem for anticipating stochastic integrals in Hilbert space

Applied Mathematics and Optimization , Volume 27 (3) – Feb 4, 2005

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References (17)

Publisher
Springer Journals
Copyright
Copyright © 1993 by Springer-Verlag New York Inc.
Subject
Mathematics; Calculus of Variations and Optimal Control; Optimization; Systems Theory, Control; Theoretical, Mathematical and Computational Physics; Mathematical Methods in Physics; Numerical and Computational Physics, Simulation
ISSN
0095-4616
eISSN
1432-0606
DOI
10.1007/BF01314821
Publisher site
See Article on Publisher Site

Abstract

Let (X,l,μ) be a measure space, letW be a cylindrical Hilbert-Wiener process, and letϕ be an anticipating integrable process-valued function onX. We prove, under natural assumptions onϕ, that there exists a measurable version Yx,x εX, of the anticipating integral ofϕ(x) such that the integral ∫x Yxμ(dx) is a version of the anticipating integral of ∫X ϕ(x)μ(dx). We apply this anticipating Fubini theorem to study solutions of a class of stochastic evolution equations in Hilbert space.

Journal

Applied Mathematics and OptimizationSpringer Journals

Published: Feb 4, 2005

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