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42 papers
On weak solutions of backward stochastic differential
equations
R. Buckdahna,
H. J. Engelbertb,
A. Rascanuc a Université de Bretagne Occidentale
b Friedrich-Schiller-University
c Faculty of Mathematics, Alexandru Ioan Cuza University of Iaşi
Abstract:
The main objective of this paper consists in discussing
the concept of weak solutions of a certain type of backward stochastic
differential equations. Using weak convergence in the Meyer–Zheng topology, we
shall give a general existence result. The terminal condition
$H$ depends in
functional form on a driving càdlàg process
$X$, and the coefficient
$f$ depends on time
$t$ and in functional form on
$X$ and the solution process
$Y$. The functional $f(t,x,y),(t,x,y)\in [0,T]\times D([0,T];{
R}^{d+m})$
is assumed to be bounded and continuous in
$(x,y)$ on
the Skorokhod space
$D([0,T]\,;{R}^{d+m})$ in the Meyer–Zheng
topology. By several examples of Tsirelson type, we will show that there are,
indeed, weak solutions which are not strong, i.e., are not solutions in the
usual sense. We will also discuss pathwise uniqueness and uniqueness in law
of the solution and conclude, similar to the Yamada–Watanabe theorem, that
pathwise uniqueness and weak existence ensure the existence of a (uniquely
determined) strong solution. Applying these concepts, we are able to state
the existence of a (unique) strong solution if, additionally to the
assumptions described above,
$f$ satisfies a certain generalized
Lipschitz-type condition.
Keywords:
backward stochastic differential equation, weak solution, strong solution, Tsirelson's example, pathwise uniqueness, uniqueness in law, Meyer–Zheng topology, weak convergence. Received: 24.11.2002
Language: English
DOI:
10.4213/tvp237