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Nonnegative Supermartingales and Martingales, and the Girsanov Theorem

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Statistics of Random Processes

Part of the book series: Applications of Mathematics ((SMAP,volume 5))

Abstract

Let (Ω, F, P) be a complete probability space, and let (F t ), 0 ≤ t T, be a nondecreasing family of sub-σ-algebras of F, augmented by sets from F of probability zero. Let W = (W t , F t ) be a Wiener process and let γ = (γ t , F t ) be a random process with

$$P\left( {\int {_0^T} \gamma _s^2ds \infty } \right) = 1.$$
(6.1)

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Bibliography

Notes and References. 1

  1. Novikov, A.A. (1972): On an identity for stochastic integrals. Teor. Veroyatn. Primen., 17, 4, 761 - 5

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  2. Gikhman, I.I. and Skorokhod, A.V. (1980): Stochastic Differential Equations. Springer-Verlag, Berlin Heidelberg New York

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  3. Girsanov, I.V. (1960): On transformation of one class of random processes with the help of absolutely continuous change of the measure. Teor. Veroyatn. Primen., 5, 1, 314 - 30

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  4. Liptser, R.S. and Shiryaev, A.N. (1972): On absolute continuity of measures corresponding to diffusion type processes with respect to a Wiener measure. Izv. Akad. Nauk SSSR, Ser. Mat., 36, 4, 874 - 89

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Notes and References.2

  1. Karatzas, I. and Shreve, S.E. (1991): Brownian Motion and Stochastic Calculus. Springer-Verlag, New York Berl in Heidelberg

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  2. Shiryaev, A.N. (1999): Essentials of Stochastic Finance. World Scientific, Singapore

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  3. Jacod, J. and Shiryaev, A.N. (1987): Limit Theorems for Stochastic Processes. Springer-Verlag, Berlin Heidelberg New York

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  4. Liptser, R.S. and Shiryaev, A.N. (1989): Theory of Martingales. Kluwer, Dordrecht (Russian edition 1986 )

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Liptser, R.S., Shiryaev, A.N. (2001). Nonnegative Supermartingales and Martingales, and the Girsanov Theorem. In: Statistics of Random Processes. Applications of Mathematics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-13043-8_7

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  • DOI: https://doi.org/10.1007/978-3-662-13043-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08366-2

  • Online ISBN: 978-3-662-13043-8

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