Orthogonal transformation of standard normal sample












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$begingroup$


I was reading this pdf https://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-fall-2003/lecture-notes/lec15.pdf



enter image description here



Shouldn't



$Var(Y_i)=sum_{k=1}^nv_{ki}^2$ (from how $Y_i$ is defined)



instead of



$$Var(Y_i)=sum_{k=1}^nv_{ik}^2$$ what author has written.




  1. But if what author has written is correct, can you please explain why?


  2. Also How $EY_iY_j=sum_{k=1}^nv_{ik}v_{jk}$?



Thanks.










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    0












    $begingroup$


    I was reading this pdf https://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-fall-2003/lecture-notes/lec15.pdf



    enter image description here



    Shouldn't



    $Var(Y_i)=sum_{k=1}^nv_{ki}^2$ (from how $Y_i$ is defined)



    instead of



    $$Var(Y_i)=sum_{k=1}^nv_{ik}^2$$ what author has written.




    1. But if what author has written is correct, can you please explain why?


    2. Also How $EY_iY_j=sum_{k=1}^nv_{ik}v_{jk}$?



    Thanks.










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I was reading this pdf https://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-fall-2003/lecture-notes/lec15.pdf



      enter image description here



      Shouldn't



      $Var(Y_i)=sum_{k=1}^nv_{ki}^2$ (from how $Y_i$ is defined)



      instead of



      $$Var(Y_i)=sum_{k=1}^nv_{ik}^2$$ what author has written.




      1. But if what author has written is correct, can you please explain why?


      2. Also How $EY_iY_j=sum_{k=1}^nv_{ik}v_{jk}$?



      Thanks.










      share|cite|improve this question









      $endgroup$




      I was reading this pdf https://ocw.mit.edu/courses/mathematics/18-443-statistics-for-applications-fall-2003/lecture-notes/lec15.pdf



      enter image description here



      Shouldn't



      $Var(Y_i)=sum_{k=1}^nv_{ki}^2$ (from how $Y_i$ is defined)



      instead of



      $$Var(Y_i)=sum_{k=1}^nv_{ik}^2$$ what author has written.




      1. But if what author has written is correct, can you please explain why?


      2. Also How $EY_iY_j=sum_{k=1}^nv_{ik}v_{jk}$?



      Thanks.







      statistics normal-distribution orthogonality






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      asked Dec 9 '18 at 15:19









      q126yq126y

      239212




      239212






















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          1












          $begingroup$

          Yes, technically $displaystyle{Var(Y_i) = sum_{k=1}^n v_{ki}^2}$ would be the more appropriate equation. But actually it doesn't really matter and $displaystyle{sum_{k=1}^n v_{ki}^2 = sum_{k=1}^n v_{ik}^2 = 1}$. This is because if $O$ is an orthogonal matrix, then $O^T$ is also an orthogonal matrix.



          $$mathbb{E}[Y_i Y_j] = mathbb{E}left[ left(sum_{k=1}^n v_{ki} X_i right) left(sum_{k=1}^n v_{kj} X_i right) right]$$



          If you expand that out, all the cross terms vanish because $mathbb{E}[X_i X_j] = 0$ for $i neq j$ (because $X_i$ and $X_j$ are uncorrelated).






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
            $endgroup$
            – q126y
            Dec 9 '18 at 16:06










          • $begingroup$
            Perhaps you could post it as a separate question.
            $endgroup$
            – zoidberg
            Dec 9 '18 at 16:06










          • $begingroup$
            I have posted it here math.stackexchange.com/questions/3032570/… Thanks
            $endgroup$
            – q126y
            Dec 9 '18 at 16:26











          Your Answer





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          1 Answer
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          1 Answer
          1






          active

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          active

          oldest

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          active

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          1












          $begingroup$

          Yes, technically $displaystyle{Var(Y_i) = sum_{k=1}^n v_{ki}^2}$ would be the more appropriate equation. But actually it doesn't really matter and $displaystyle{sum_{k=1}^n v_{ki}^2 = sum_{k=1}^n v_{ik}^2 = 1}$. This is because if $O$ is an orthogonal matrix, then $O^T$ is also an orthogonal matrix.



          $$mathbb{E}[Y_i Y_j] = mathbb{E}left[ left(sum_{k=1}^n v_{ki} X_i right) left(sum_{k=1}^n v_{kj} X_i right) right]$$



          If you expand that out, all the cross terms vanish because $mathbb{E}[X_i X_j] = 0$ for $i neq j$ (because $X_i$ and $X_j$ are uncorrelated).






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
            $endgroup$
            – q126y
            Dec 9 '18 at 16:06










          • $begingroup$
            Perhaps you could post it as a separate question.
            $endgroup$
            – zoidberg
            Dec 9 '18 at 16:06










          • $begingroup$
            I have posted it here math.stackexchange.com/questions/3032570/… Thanks
            $endgroup$
            – q126y
            Dec 9 '18 at 16:26
















          1












          $begingroup$

          Yes, technically $displaystyle{Var(Y_i) = sum_{k=1}^n v_{ki}^2}$ would be the more appropriate equation. But actually it doesn't really matter and $displaystyle{sum_{k=1}^n v_{ki}^2 = sum_{k=1}^n v_{ik}^2 = 1}$. This is because if $O$ is an orthogonal matrix, then $O^T$ is also an orthogonal matrix.



          $$mathbb{E}[Y_i Y_j] = mathbb{E}left[ left(sum_{k=1}^n v_{ki} X_i right) left(sum_{k=1}^n v_{kj} X_i right) right]$$



          If you expand that out, all the cross terms vanish because $mathbb{E}[X_i X_j] = 0$ for $i neq j$ (because $X_i$ and $X_j$ are uncorrelated).






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
            $endgroup$
            – q126y
            Dec 9 '18 at 16:06










          • $begingroup$
            Perhaps you could post it as a separate question.
            $endgroup$
            – zoidberg
            Dec 9 '18 at 16:06










          • $begingroup$
            I have posted it here math.stackexchange.com/questions/3032570/… Thanks
            $endgroup$
            – q126y
            Dec 9 '18 at 16:26














          1












          1








          1





          $begingroup$

          Yes, technically $displaystyle{Var(Y_i) = sum_{k=1}^n v_{ki}^2}$ would be the more appropriate equation. But actually it doesn't really matter and $displaystyle{sum_{k=1}^n v_{ki}^2 = sum_{k=1}^n v_{ik}^2 = 1}$. This is because if $O$ is an orthogonal matrix, then $O^T$ is also an orthogonal matrix.



          $$mathbb{E}[Y_i Y_j] = mathbb{E}left[ left(sum_{k=1}^n v_{ki} X_i right) left(sum_{k=1}^n v_{kj} X_i right) right]$$



          If you expand that out, all the cross terms vanish because $mathbb{E}[X_i X_j] = 0$ for $i neq j$ (because $X_i$ and $X_j$ are uncorrelated).






          share|cite|improve this answer









          $endgroup$



          Yes, technically $displaystyle{Var(Y_i) = sum_{k=1}^n v_{ki}^2}$ would be the more appropriate equation. But actually it doesn't really matter and $displaystyle{sum_{k=1}^n v_{ki}^2 = sum_{k=1}^n v_{ik}^2 = 1}$. This is because if $O$ is an orthogonal matrix, then $O^T$ is also an orthogonal matrix.



          $$mathbb{E}[Y_i Y_j] = mathbb{E}left[ left(sum_{k=1}^n v_{ki} X_i right) left(sum_{k=1}^n v_{kj} X_i right) right]$$



          If you expand that out, all the cross terms vanish because $mathbb{E}[X_i X_j] = 0$ for $i neq j$ (because $X_i$ and $X_j$ are uncorrelated).







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 9 '18 at 15:51









          zoidbergzoidberg

          1,065113




          1,065113












          • $begingroup$
            Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
            $endgroup$
            – q126y
            Dec 9 '18 at 16:06










          • $begingroup$
            Perhaps you could post it as a separate question.
            $endgroup$
            – zoidberg
            Dec 9 '18 at 16:06










          • $begingroup$
            I have posted it here math.stackexchange.com/questions/3032570/… Thanks
            $endgroup$
            – q126y
            Dec 9 '18 at 16:26


















          • $begingroup$
            Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
            $endgroup$
            – q126y
            Dec 9 '18 at 16:06










          • $begingroup$
            Perhaps you could post it as a separate question.
            $endgroup$
            – zoidberg
            Dec 9 '18 at 16:06










          • $begingroup$
            I have posted it here math.stackexchange.com/questions/3032570/… Thanks
            $endgroup$
            – q126y
            Dec 9 '18 at 16:26
















          $begingroup$
          Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
          $endgroup$
          – q126y
          Dec 9 '18 at 16:06




          $begingroup$
          Thanks. Can you please also be so kind to tell how the moment generating function of iid X1,X2,...Xn was computed. it is on the start of page 2 of the pdf.
          $endgroup$
          – q126y
          Dec 9 '18 at 16:06












          $begingroup$
          Perhaps you could post it as a separate question.
          $endgroup$
          – zoidberg
          Dec 9 '18 at 16:06




          $begingroup$
          Perhaps you could post it as a separate question.
          $endgroup$
          – zoidberg
          Dec 9 '18 at 16:06












          $begingroup$
          I have posted it here math.stackexchange.com/questions/3032570/… Thanks
          $endgroup$
          – q126y
          Dec 9 '18 at 16:26




          $begingroup$
          I have posted it here math.stackexchange.com/questions/3032570/… Thanks
          $endgroup$
          – q126y
          Dec 9 '18 at 16:26


















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