Standard Brownian motion and stopping time












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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.










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    $begingroup$


    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.










    share|cite|improve this question









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      0





      $begingroup$


      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.










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      $endgroup$




      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.







      stochastic-processes stochastic-calculus brownian-motion stopping-times






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      asked Jan 11 at 20:34







      user631885





























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          $begingroup$

          For the first equality, expand the square $(B_T - B_S)^2$ and use properties of Brownian motion to obtain $E[B_T^2 - B_S^2]$.




          By expanding the square, $$E[(B_T - B_S)^2] - E[(B_T^2 - B_S^2)]= 2 E[B_S^2] - 2 E[B_S B_T].$$ Then note $E[B_S B_T] = E[B_S E[B_T mid S]] = E[B_S^2]$.




          For the second equality, show $E[B_T]=E[T]$ for any stopping time $T$.




          $E[B_T^2] = E[E[B_T^2 mid T]] = E[T]$.







          share|cite|improve this answer









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          • $begingroup$
            Thank you, i didn't think that way.
            $endgroup$
            – user631885
            Jan 11 at 21:18












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          $begingroup$

          For the first equality, expand the square $(B_T - B_S)^2$ and use properties of Brownian motion to obtain $E[B_T^2 - B_S^2]$.




          By expanding the square, $$E[(B_T - B_S)^2] - E[(B_T^2 - B_S^2)]= 2 E[B_S^2] - 2 E[B_S B_T].$$ Then note $E[B_S B_T] = E[B_S E[B_T mid S]] = E[B_S^2]$.




          For the second equality, show $E[B_T]=E[T]$ for any stopping time $T$.




          $E[B_T^2] = E[E[B_T^2 mid T]] = E[T]$.







          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thank you, i didn't think that way.
            $endgroup$
            – user631885
            Jan 11 at 21:18
















          0












          $begingroup$

          For the first equality, expand the square $(B_T - B_S)^2$ and use properties of Brownian motion to obtain $E[B_T^2 - B_S^2]$.




          By expanding the square, $$E[(B_T - B_S)^2] - E[(B_T^2 - B_S^2)]= 2 E[B_S^2] - 2 E[B_S B_T].$$ Then note $E[B_S B_T] = E[B_S E[B_T mid S]] = E[B_S^2]$.




          For the second equality, show $E[B_T]=E[T]$ for any stopping time $T$.




          $E[B_T^2] = E[E[B_T^2 mid T]] = E[T]$.







          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thank you, i didn't think that way.
            $endgroup$
            – user631885
            Jan 11 at 21:18














          0












          0








          0





          $begingroup$

          For the first equality, expand the square $(B_T - B_S)^2$ and use properties of Brownian motion to obtain $E[B_T^2 - B_S^2]$.




          By expanding the square, $$E[(B_T - B_S)^2] - E[(B_T^2 - B_S^2)]= 2 E[B_S^2] - 2 E[B_S B_T].$$ Then note $E[B_S B_T] = E[B_S E[B_T mid S]] = E[B_S^2]$.




          For the second equality, show $E[B_T]=E[T]$ for any stopping time $T$.




          $E[B_T^2] = E[E[B_T^2 mid T]] = E[T]$.







          share|cite|improve this answer









          $endgroup$



          For the first equality, expand the square $(B_T - B_S)^2$ and use properties of Brownian motion to obtain $E[B_T^2 - B_S^2]$.




          By expanding the square, $$E[(B_T - B_S)^2] - E[(B_T^2 - B_S^2)]= 2 E[B_S^2] - 2 E[B_S B_T].$$ Then note $E[B_S B_T] = E[B_S E[B_T mid S]] = E[B_S^2]$.




          For the second equality, show $E[B_T]=E[T]$ for any stopping time $T$.




          $E[B_T^2] = E[E[B_T^2 mid T]] = E[T]$.








          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 11 at 20:43









          angryavianangryavian

          42.6k23481




          42.6k23481












          • $begingroup$
            Thank you, i didn't think that way.
            $endgroup$
            – user631885
            Jan 11 at 21:18


















          • $begingroup$
            Thank you, i didn't think that way.
            $endgroup$
            – user631885
            Jan 11 at 21:18
















          $begingroup$
          Thank you, i didn't think that way.
          $endgroup$
          – user631885
          Jan 11 at 21:18




          $begingroup$
          Thank you, i didn't think that way.
          $endgroup$
          – user631885
          Jan 11 at 21:18


















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