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This article is cited in 5 papers
On the problem of stochastic integral representations of functionals of the Brownian motion. I
A. N. Shiryaeva, M. Yorb a Steklov Mathematical Institute, Russian Academy of Sciences
b Université Pierre & Marie Curie, Paris VI
Abstract:
For functionals $S=S(\omega)$ of the Brownian motion $B$, we propose a method for finding stochastic integral representations based on the Itô formula for the stochastic integral associated with $B$. As an illustration of the method, we consider functionals of the “maximal” type: $S_T$, $S_{T_{-a}}$, $S_{g_T}$, and $S_{\theta_T}$, where $S_T=\max_{t\le T}B_t$ , $S_{T_{-a}}=\max_{t\le T_{-a}}B_t$ with $T_{-a}=\inf\{t>0: B_t=-a\}$, $a>0$, and $S_{g_T}=\max_{t\le g_T} B_t$, $S_{\theta_T}=\max_{t\le \theta_T}B_t$, $g_T$ and $\theta_T$ are \textit{non}-Markov times: $g_T$ is the time of the last zero of Brownian motion on $[0,T]$ and $\theta_T$ is a time when the Brownian motion achieves its maximal value on $[0,T]$.
Keywords:
Brownian motion, Markov time, non-Markov time, stochastic integral, stochastic integral representation, Itô formula.
Received: 01.12.2002
Citation:
A. N. Shiryaev, M. Yor, “On the problem of stochastic integral representations of functionals of the Brownian motion. I”, Teor. Veroyatnost. i Primenen., 48:2 (2003), 375–385
Citation in format AMSBIB:
\Bibitem{1}
\by A.~N.~Shiryaev, M.~Yor
\paper On the problem of stochastic integral representations of functionals of the Brownian motion.~I
\jour Teor. Veroyatnost. i Primenen.
\yr 2003
\vol 48
\issue 2
\pages 375--385
\mathnet{http://mi.mathnet.ru/tvp290}
\mathscinet{http://www.ams.org/mathscinet-getitem?mr=2015458}
\zmath{http://www.zentralblatt-math.org/zmath/search/?an=Zbl 1057.60057}
\transl
\jour Theory Probab. Appl.
\yr 2004
\vol 48
\issue 2
\pages 304--313
\crossref{http://dx.doi.org/10.1137/S0040585X9780427}
\isi{http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&DestLinkType=FullRecord&DestApp=ALL_WOS&KeyUT=000222357100008}
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English version:
Theory of Probability and its Applications, 2004, 48:2, 304–313
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000222357100008
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