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Anticipating linear stochastic differential equations

  • Stochastic Finite Dimensional Systems
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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 136))

Abstract

We study linear stochastic differential equations with a random initial condition and a drift anticipating the driving Wiener process, and we give fairly general conditions under which they have a unique solution.

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References

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Jerzy Zabczyk

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© 1989 Springer-Verlag

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Buckdahn, R. (1989). Anticipating linear stochastic differential equations. In: Zabczyk, J. (eds) Stochastic Systems and Optimization. Lecture Notes in Control and Information Sciences, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0002667

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  • DOI: https://doi.org/10.1007/BFb0002667

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51619-4

  • Online ISBN: 978-3-540-46719-9

  • eBook Packages: Springer Book Archive

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