Stochastic Calculus for Analogue of Wiener Process
Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics / Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, (P)1226-0657; (E)2287-6081
2007, v.14 no.4, pp.335-354
Im, Man-Kyu
Kim, Jae-Hee
Im,,
M.
, &
Kim,,
J.
(2007). Stochastic Calculus for Analogue of Wiener Process. Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, 14(4), 335-354.
Abstract
In this paper, we define an analogue of generalized Wiener measure and investigate its basic properties. We define (<TEX>${\hat}It{o}$</TEX> type) stochastic integrals with respect to the generalized Wiener process and prove the <TEX>${\hat}It{o}$</TEX> formula. The existence and uniqueness of the solution of stochastic differential equation associated with the generalized Wiener process is proved. Finally, we generalize the linear filtering theory of Kalman-Bucy to the case of a generalized Wiener process.
- keywords
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generalized Wiener process,
stochastic integral,
<tex> ${\hat}It{o}$</tex> formula,
stochastic differential equation,
linear filtering