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On the independence of the value function for stochastic differential games of the probability space

Thursday, May 10, 2018 - 11:00am - 11:50am
Lind 305
Nicolai Krylov (University of Minnesota, Twin Cities)
We show that the value function in a stochastic differential game does not change if we keep the same space $(\Omega,\cF)$ but introduce probability measures by means of Girsanov's transformation {\em depending\/} on the policies of the players. We also show that the value function does not change if we allow the driving Wiener processes to depend on the policies of the players. Finally, we show that the value function does not change if we perform a random time change with the rate depending on the policies of the players.