Central Limit Theorem and convergence of transformed












1














I have the following exercise to solve:



Let $X_n, n geq1$ be a sequence of i.i.d random variables where each $X_n$ is a discrete random variable with distribution $P(X_n=1)=1-p$ and $P(X_n=2)=p$, with $0<p<1$.
Determine the asymptotic behaviour for $n rightarrow infty$ of



$Z_n=n frac{(prod_{i=1}^{n}Xi)^{(1/n)}}{X_1^2+X_2^2+....X_n^2}$



I know I should apply the log transofrmation in the numerator but I get very confused after that.



Thank you in advance










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    1














    I have the following exercise to solve:



    Let $X_n, n geq1$ be a sequence of i.i.d random variables where each $X_n$ is a discrete random variable with distribution $P(X_n=1)=1-p$ and $P(X_n=2)=p$, with $0<p<1$.
    Determine the asymptotic behaviour for $n rightarrow infty$ of



    $Z_n=n frac{(prod_{i=1}^{n}Xi)^{(1/n)}}{X_1^2+X_2^2+....X_n^2}$



    I know I should apply the log transofrmation in the numerator but I get very confused after that.



    Thank you in advance










    share|cite|improve this question

























      1












      1








      1







      I have the following exercise to solve:



      Let $X_n, n geq1$ be a sequence of i.i.d random variables where each $X_n$ is a discrete random variable with distribution $P(X_n=1)=1-p$ and $P(X_n=2)=p$, with $0<p<1$.
      Determine the asymptotic behaviour for $n rightarrow infty$ of



      $Z_n=n frac{(prod_{i=1}^{n}Xi)^{(1/n)}}{X_1^2+X_2^2+....X_n^2}$



      I know I should apply the log transofrmation in the numerator but I get very confused after that.



      Thank you in advance










      share|cite|improve this question













      I have the following exercise to solve:



      Let $X_n, n geq1$ be a sequence of i.i.d random variables where each $X_n$ is a discrete random variable with distribution $P(X_n=1)=1-p$ and $P(X_n=2)=p$, with $0<p<1$.
      Determine the asymptotic behaviour for $n rightarrow infty$ of



      $Z_n=n frac{(prod_{i=1}^{n}Xi)^{(1/n)}}{X_1^2+X_2^2+....X_n^2}$



      I know I should apply the log transofrmation in the numerator but I get very confused after that.



      Thank you in advance







      central-limit-theorem






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      asked Nov 30 at 19:42









      Matteo

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          Some steps:




          1. Using the law of large numbers, we know that $n^{-1}sum_{i=1}^nX_i^2to mathbb Eleft[X_1^2right]$ almost surely.

          2. Since $lnleft(left(prod_{i=1}^nX_iright)^{1/n}right)=frac 1nsum_{i=1}^nln X_i$, the law of large numbers applied to the i.i.d. sequence $left(ln X_iright)_{igeqslant 1}$ gives the asymptotic behavior of $left(prod_{i=1}^nX_iright)^{1/n}$.






          share|cite|improve this answer





















          • Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
            – Matteo
            Dec 1 at 6:32













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          1 Answer
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          1 Answer
          1






          active

          oldest

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          active

          oldest

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          active

          oldest

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          0














          Some steps:




          1. Using the law of large numbers, we know that $n^{-1}sum_{i=1}^nX_i^2to mathbb Eleft[X_1^2right]$ almost surely.

          2. Since $lnleft(left(prod_{i=1}^nX_iright)^{1/n}right)=frac 1nsum_{i=1}^nln X_i$, the law of large numbers applied to the i.i.d. sequence $left(ln X_iright)_{igeqslant 1}$ gives the asymptotic behavior of $left(prod_{i=1}^nX_iright)^{1/n}$.






          share|cite|improve this answer





















          • Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
            – Matteo
            Dec 1 at 6:32


















          0














          Some steps:




          1. Using the law of large numbers, we know that $n^{-1}sum_{i=1}^nX_i^2to mathbb Eleft[X_1^2right]$ almost surely.

          2. Since $lnleft(left(prod_{i=1}^nX_iright)^{1/n}right)=frac 1nsum_{i=1}^nln X_i$, the law of large numbers applied to the i.i.d. sequence $left(ln X_iright)_{igeqslant 1}$ gives the asymptotic behavior of $left(prod_{i=1}^nX_iright)^{1/n}$.






          share|cite|improve this answer





















          • Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
            – Matteo
            Dec 1 at 6:32
















          0












          0








          0






          Some steps:




          1. Using the law of large numbers, we know that $n^{-1}sum_{i=1}^nX_i^2to mathbb Eleft[X_1^2right]$ almost surely.

          2. Since $lnleft(left(prod_{i=1}^nX_iright)^{1/n}right)=frac 1nsum_{i=1}^nln X_i$, the law of large numbers applied to the i.i.d. sequence $left(ln X_iright)_{igeqslant 1}$ gives the asymptotic behavior of $left(prod_{i=1}^nX_iright)^{1/n}$.






          share|cite|improve this answer












          Some steps:




          1. Using the law of large numbers, we know that $n^{-1}sum_{i=1}^nX_i^2to mathbb Eleft[X_1^2right]$ almost surely.

          2. Since $lnleft(left(prod_{i=1}^nX_iright)^{1/n}right)=frac 1nsum_{i=1}^nln X_i$, the law of large numbers applied to the i.i.d. sequence $left(ln X_iright)_{igeqslant 1}$ gives the asymptotic behavior of $left(prod_{i=1}^nX_iright)^{1/n}$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Nov 30 at 23:14









          Davide Giraudo

          125k16150259




          125k16150259












          • Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
            – Matteo
            Dec 1 at 6:32




















          • Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
            – Matteo
            Dec 1 at 6:32


















          Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
          – Matteo
          Dec 1 at 6:32






          Yes that is what I was trying too. However, I should apply the central limit theorem to find the limiting distribution, and this is my problem since I am not sure about how to procede
          – Matteo
          Dec 1 at 6:32




















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