Advanced Simulation-Based Methods for Optimal Stopping and Control by Denis Belomestny & John Schoenmakers

Advanced Simulation-Based Methods for Optimal Stopping and Control by Denis Belomestny & John Schoenmakers

Author:Denis Belomestny & John Schoenmakers
Language: eng
Format: epub
Publisher: Palgrave Macmillan UK, London


(10.9)

with the convention that for , , and for , .

Proposition 90

We have the following Bellman type reduction principle

(10.10)

Proof

This can be proved straightforwardly by induction.

This proposition may also be considered as a discrete time version of a related continuous time result in the setting of [72]. Thanks to Proposition 90 and standard results on single stopping problems we observe that a family of optimal stopping times for (10.8) is given recursively by

for

Remark 91

The following slight generalization of a Doob martingale will be useful later on. We say that a martingale is a Doob martingale of whenever there exists a predictable process such that is -measurable for any . In particular, for any two Doob martingales and of it holds



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