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Verify that a stochastic process derived from a branching process is a martingale



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Galton Watson Branching processBranching process in varying environmentsBranching Process in simple random walkBranching process - generating functionConvergence of a Branching processMartingale property for Branching ProcessRecurrence relation in the total progeny of a branching processProbability of a branching process going extinct using martingale convergence theoremproblem to understand branching processConsider a branching process with offspring distribution










0












$begingroup$


I was working on a problem while studying martingales and couldn't verify one of the necessary properties to determine if this is in fact a martingale. Given $X_n$ denotes the size of the nth generation of a branching process, I need to verify that the following process is a martingale:



$$ Z_n = X_n/m^n , space space Z_n, n geq 1 $$



To show that $mathbbE[|Z_n|] < infty$:



$$
mathbbE[|Z_n|] = mathbbEbigg[bigglvertfracXm^nbiggrvertbigg]
$$

$$
= fracmathbbE[m^n
$$

Since $X$ is a branching process with mean offspring per individual $m$:
$$
= fracm^nm^n
$$

$$
= 1
$$



I have trouble proving the second condition, that $mathbbE[Z_n+1|Z_1,dotsm,Z_n] = Z_n$



Currently I have:
$$
mathbbE[Z_n+1|Z_1,dotsm,Z_n] = mathbbEbigg[fracX_n+1m^n+1 bigg| Z_1,dotsm,Z_n bigg]
$$

$$
= fracmathbbE[X_n+1] m^n+1
$$

$$
= fracm mathbbE[X_n] m^n+1
$$

$$
= fracmathbbE[X_n] m^n
$$



Which is where I ended up for the proof of the first condition. Something must not be right - I suspect the step where the conditional expectation disappeared could be the problem.



I'd appreciate any and all help understanding where I'm going wrong.










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    I was working on a problem while studying martingales and couldn't verify one of the necessary properties to determine if this is in fact a martingale. Given $X_n$ denotes the size of the nth generation of a branching process, I need to verify that the following process is a martingale:



    $$ Z_n = X_n/m^n , space space Z_n, n geq 1 $$



    To show that $mathbbE[|Z_n|] < infty$:



    $$
    mathbbE[|Z_n|] = mathbbEbigg[bigglvertfracXm^nbiggrvertbigg]
    $$

    $$
    = fracmathbbE[m^n
    $$

    Since $X$ is a branching process with mean offspring per individual $m$:
    $$
    = fracm^nm^n
    $$

    $$
    = 1
    $$



    I have trouble proving the second condition, that $mathbbE[Z_n+1|Z_1,dotsm,Z_n] = Z_n$



    Currently I have:
    $$
    mathbbE[Z_n+1|Z_1,dotsm,Z_n] = mathbbEbigg[fracX_n+1m^n+1 bigg| Z_1,dotsm,Z_n bigg]
    $$

    $$
    = fracmathbbE[X_n+1] m^n+1
    $$

    $$
    = fracm mathbbE[X_n] m^n+1
    $$

    $$
    = fracmathbbE[X_n] m^n
    $$



    Which is where I ended up for the proof of the first condition. Something must not be right - I suspect the step where the conditional expectation disappeared could be the problem.



    I'd appreciate any and all help understanding where I'm going wrong.










    share|cite|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      I was working on a problem while studying martingales and couldn't verify one of the necessary properties to determine if this is in fact a martingale. Given $X_n$ denotes the size of the nth generation of a branching process, I need to verify that the following process is a martingale:



      $$ Z_n = X_n/m^n , space space Z_n, n geq 1 $$



      To show that $mathbbE[|Z_n|] < infty$:



      $$
      mathbbE[|Z_n|] = mathbbEbigg[bigglvertfracXm^nbiggrvertbigg]
      $$

      $$
      = fracmathbbE[m^n
      $$

      Since $X$ is a branching process with mean offspring per individual $m$:
      $$
      = fracm^nm^n
      $$

      $$
      = 1
      $$



      I have trouble proving the second condition, that $mathbbE[Z_n+1|Z_1,dotsm,Z_n] = Z_n$



      Currently I have:
      $$
      mathbbE[Z_n+1|Z_1,dotsm,Z_n] = mathbbEbigg[fracX_n+1m^n+1 bigg| Z_1,dotsm,Z_n bigg]
      $$

      $$
      = fracmathbbE[X_n+1] m^n+1
      $$

      $$
      = fracm mathbbE[X_n] m^n+1
      $$

      $$
      = fracmathbbE[X_n] m^n
      $$



      Which is where I ended up for the proof of the first condition. Something must not be right - I suspect the step where the conditional expectation disappeared could be the problem.



      I'd appreciate any and all help understanding where I'm going wrong.










      share|cite|improve this question











      $endgroup$




      I was working on a problem while studying martingales and couldn't verify one of the necessary properties to determine if this is in fact a martingale. Given $X_n$ denotes the size of the nth generation of a branching process, I need to verify that the following process is a martingale:



      $$ Z_n = X_n/m^n , space space Z_n, n geq 1 $$



      To show that $mathbbE[|Z_n|] < infty$:



      $$
      mathbbE[|Z_n|] = mathbbEbigg[bigglvertfracXm^nbiggrvertbigg]
      $$

      $$
      = fracmathbbE[m^n
      $$

      Since $X$ is a branching process with mean offspring per individual $m$:
      $$
      = fracm^nm^n
      $$

      $$
      = 1
      $$



      I have trouble proving the second condition, that $mathbbE[Z_n+1|Z_1,dotsm,Z_n] = Z_n$



      Currently I have:
      $$
      mathbbE[Z_n+1|Z_1,dotsm,Z_n] = mathbbEbigg[fracX_n+1m^n+1 bigg| Z_1,dotsm,Z_n bigg]
      $$

      $$
      = fracmathbbE[X_n+1] m^n+1
      $$

      $$
      = fracm mathbbE[X_n] m^n+1
      $$

      $$
      = fracmathbbE[X_n] m^n
      $$



      Which is where I ended up for the proof of the first condition. Something must not be right - I suspect the step where the conditional expectation disappeared could be the problem.



      I'd appreciate any and all help understanding where I'm going wrong.







      stochastic-processes random-variables self-learning martingales






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 28 at 0:29







      CLL

















      asked Mar 26 at 17:40









      CLLCLL

      1376




      1376




















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