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Stochastic Equations in Formal Mappings

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Stochastic Differential and Difference Equations

Part of the book series: Progress in Systems and Control Theory ((PSCT,volume 23))

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Abstract

Let us consider a nonlinear stochastic equation

$$\begin{array}{*{20}{c}} {y(t) = y(0) + \int\limits_{0}^{t} {a(\tau )(y(\tau ))d\tau + \int\limits_{0}^{t} {b(\tau )(y(\tau ))dw(\tau ),} } } & {0 \leqslant t \leqslant T} \\ \end{array}$$
(1.1)

in Hilbert space Y, where:

  • w is a Wiener process, associated with canonical triple H + ⊂ H 0 ⊂ H_ with a Hilbert-Schmidt embedding (all Hilbert spaces are supposed to be real and separable);

  • y is a non-anticipating process in Hilbert space Y;

  • a and b are continuous mappings from [0, T] Ă— Y into Y and â„’2 (Y) respectively.

This work was supported, in part, by the International Soros Science Education Program (ISSEP) through grant N PSU051117.

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References

  1. [ Daletsky Yu. L., Algebra of compositions and nonlinear equations, Kluwer Academic Publisher (1992), 277-291.

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  2. Spectorsky I. Ya., Explicit formula for solution of linear nonhomogeneous stochastic equation (in Russian) Deponed in State Science Technical Library of Ukraine 02-01-1996, 424 – UK 6

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  3. DaletskiÄ­ Yu.L., Paramonova S.N., Teor. Verojatnost. i Primenen. 19, (1974) , 845-849

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© 1997 Springer Science+Business Media New York

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Spectorsky, I. (1997). Stochastic Equations in Formal Mappings. In: Stochastic Differential and Difference Equations. Progress in Systems and Control Theory, vol 23. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1980-4_20

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  • DOI: https://doi.org/10.1007/978-1-4612-1980-4_20

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7365-3

  • Online ISBN: 978-1-4612-1980-4

  • eBook Packages: Springer Book Archive

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