Computing expected minimum of stopping time and n with simple random walk The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Stopping time and random walk: Proof that Stopping time of reaching a certain value is finite a.s.Simple symmetric random walk - is my assumption correct?Using martingale convergence to show that modified random walk exits interval in finite time almost surelySimple Random Walk: Use Martingale to Find $E[tau S_tau]$Almost surely finite stopping time for a random walkProving that expectation of stopping time of a random walk is finiteA probability concerning the maximum and minimum of a simple random walkProof that a r.v. with a particular random walk is a martingaleCrossing time(meeting time) of a gaussain random walkFirst exit time of a simple random walk

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Computing expected minimum of stopping time and n with simple random walk



The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Stopping time and random walk: Proof that Stopping time of reaching a certain value is finite a.s.Simple symmetric random walk - is my assumption correct?Using martingale convergence to show that modified random walk exits interval in finite time almost surelySimple Random Walk: Use Martingale to Find $E[tau S_tau]$Almost surely finite stopping time for a random walkProving that expectation of stopping time of a random walk is finiteA probability concerning the maximum and minimum of a simple random walkProof that a r.v. with a particular random walk is a martingaleCrossing time(meeting time) of a gaussain random walkFirst exit time of a simple random walk










0












$begingroup$


Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.



Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.



I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.



I've tried the following so far:



$$
E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
= E[T mathbb1_T leq n] + nP(T > n)
$$



But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.



    Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.



    I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.



    I've tried the following so far:



    $$
    E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
    = E[T mathbb1_T leq n] + nP(T > n)
    $$



    But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.










    share|cite|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.



      Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.



      I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.



      I've tried the following so far:



      $$
      E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
      = E[T mathbb1_T leq n] + nP(T > n)
      $$



      But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.










      share|cite|improve this question











      $endgroup$




      Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.



      Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.



      I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.



      I've tried the following so far:



      $$
      E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
      = E[T mathbb1_T leq n] + nP(T > n)
      $$



      But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.







      probability probability-theory martingales random-walk






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 31 at 14:31







      D G

















      asked Mar 31 at 13:37









      D GD G

      1629




      1629




















          1 Answer
          1






          active

          oldest

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          0












          $begingroup$

          The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that



          $$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$



          and solving $ES_T land n$ by considering cases.






          share|cite|improve this answer









          $endgroup$













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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0












            $begingroup$

            The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that



            $$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$



            and solving $ES_T land n$ by considering cases.






            share|cite|improve this answer









            $endgroup$

















              0












              $begingroup$

              The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that



              $$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$



              and solving $ES_T land n$ by considering cases.






              share|cite|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that



                $$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$



                and solving $ES_T land n$ by considering cases.






                share|cite|improve this answer









                $endgroup$



                The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that



                $$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$



                and solving $ES_T land n$ by considering cases.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Mar 31 at 14:50









                D GD G

                1629




                1629



























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