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standard deviation of ion current fluctuations


Converting standard deviation numberStandard deviation / Bell Shaped DistributionProblem on Standard Deviationcombined standard deviationAlternative Standard Deviation Calculationsapproximate standard deviationfind mean and standard deviation for current and powerStandard DeviationIonic Current fluctuationsRandom Variables in dependence of a function













0












$begingroup$


let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).



All $X_i$ are independent - maybe we can assume a N(0,1) distribution.



The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum



$sum_i=1^nX_i$
grows proportional to $sqrtn$



but I dont know, how to deal with the dependency on a function.



Shall i look at



$sum_i=1^nV(X_i)$ ?



I dont know how to handle this issue.










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).



    All $X_i$ are independent - maybe we can assume a N(0,1) distribution.



    The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum



    $sum_i=1^nX_i$
    grows proportional to $sqrtn$



    but I dont know, how to deal with the dependency on a function.



    Shall i look at



    $sum_i=1^nV(X_i)$ ?



    I dont know how to handle this issue.










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).



      All $X_i$ are independent - maybe we can assume a N(0,1) distribution.



      The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum



      $sum_i=1^nX_i$
      grows proportional to $sqrtn$



      but I dont know, how to deal with the dependency on a function.



      Shall i look at



      $sum_i=1^nV(X_i)$ ?



      I dont know how to handle this issue.










      share|cite|improve this question









      $endgroup$




      let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).



      All $X_i$ are independent - maybe we can assume a N(0,1) distribution.



      The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum



      $sum_i=1^nX_i$
      grows proportional to $sqrtn$



      but I dont know, how to deal with the dependency on a function.



      Shall i look at



      $sum_i=1^nV(X_i)$ ?



      I dont know how to handle this issue.







      probability-theory probability-distributions standard-deviation






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 11 at 10:32









      Calculator123Calculator123

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