Basics of Stochastic Analysis c © 2003
نویسنده
چکیده
This material was used for a course on stochastic analysis at UW–Madison in fall 2003. The text covers the development of the stochastic integral of predictable processes with respect to cadlag semimartingale integrators, Itô’s formula in an open domain in R, and an existence and uniqueness theorem for an equation of the type dX = dH + F (t, X) dY where Y is a cadlag semimartingale. The text is self-contained except for certain basics of integration theory and probability theory which are explained but not proved. In addition, the reader needs to accept without proof two basic martingale theorems: (i) the existence of quadratic variation for a cadlag local martingale; and (ii) the so-called fundamental theorem of local martingales that states the following: given a cadlag local martingale M and a positive constant c, M can be decomposed as N + A where N and A are cadlag local martingales, jumps of N are bounded by c, and A has paths of bounded variation. This text intends to provide a stepping stone to deeper books such as Protter’s monograph. The hope is that this material is accessible to students who do not have an ideal background in analysis and probability theory, and useful for instructors who (like the author) are not experts on stochastic analysis.
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تاریخ انتشار 2008