Let be $B$ standard Brownian motion and let $S \leq T$ two stopping times with $E(T) < \infty $ and $E(S) < \infty$. Prove that hold $$ E[(B_T – B_S)^2] = E[B_T^2 – B_S^2] = E(T-S).$$
Please help me solve this.
brownian motionstochastic-calculusstochastic-processesstopping-times
Let be $B$ standard Brownian motion and let $S \leq T$ two stopping times with $E(T) < \infty $ and $E(S) < \infty$. Prove that hold $$ E[(B_T – B_S)^2] = E[B_T^2 – B_S^2] = E(T-S).$$
Please help me solve this.
Best Answer
For the first equality, expand the square $(B_T - B_S)^2$ and use properties of Brownian motion to obtain $E[B_T^2 - B_S^2]$.
For the second equality, show $E[B_T]=E[T]$ for any stopping time $T$.