On the continuous dependence of the minimal solution of constrained backward stochastic differential equations

Mathematics – Probability

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It seems that the result holds for more general cas, and it hard to give an counterexample!

Scientific paper

It is well-known that solutions of backward differential equations are continuously dependent on the terminal value. Since the increasing part of the minimal solution of a constrained backward differential equation (shortly CBSDE) varies against terminal value, the continuous dependence property of terminal value is not obvious for it. In this paper, we obtain a result about this problem under some mild assumptions. The main tool used here is the penalization method to get the minimal solution of a CBSDE and the property of convex functional that it is continuous when it is lower semi-continuous. The comparison theorem of the minimal solution of CBSDE plays a crucial role in our proof.

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