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Differentiation of measures related to stochastic processes

  • Part I: General Theory
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Stochastic Differential Systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 43))

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Abstract

Vector measures induced by stochastic processes, especially martingales, have been discussed by several authors ([2], [3], [5]), primarily in the context of stochastic integration. Our purpose here is to invetigate some of their properties, including differentiation and the Radon-Nikodym property. Our approach combines methods drawn from the existing literature with several new techniques.

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References

  1. Dellacherie, C.: Capacities et Processus Stochastiques. Ergebnisse der Math. 67, Springer-Verlag (1972).

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  2. Metivier, M.: The stochastic integral with respect to processes with values in a relexive Banach space. Theory of probability and its application (1974).

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  3. Pellaumail, J.: Une nouvelle construction de l'integrale stochastique. Asterisque #9.

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  4. Diestel, J. and Uhl, J.J.: Vector Measures. Amer. Math. Soc. (1977).

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  5. Walsh, J.B.: Vector Measures and the Ito Integral. Lecture Notes in Math. 645. Springer-Verlag (1970).

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M. Kohlmann N. Christopeit

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© 1982 Springer-Verlag

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Al-Hussaini, A.N. (1982). Differentiation of measures related to stochastic processes. In: Kohlmann, M., Christopeit, N. (eds) Stochastic Differential Systems. Lecture Notes in Control and Information Sciences, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0044284

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  • DOI: https://doi.org/10.1007/BFb0044284

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-12061-2

  • Online ISBN: 978-3-540-39518-8

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