Show that $A = sum_i lambda_i x_i x_i^T$












1












$begingroup$


I came across this formula:
$A = sum_i lambda_i x_i x_i^T$
where $lambda_i$ is the i'th eigenvalue and $x_i$ the i'th eigenvector of $A$. As I have no idea how it is called, I was not able to find a proof.



Could someone give a pointer where to find one?



Edit: I have looked at the eigendecomposition, but only found the decomposition $A = Q^T Lambda Q$.










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$endgroup$












  • $begingroup$
    I think this requires the matrix $A$ to be symmetric.
    $endgroup$
    – Mefitico
    Jan 25 at 11:07
















1












$begingroup$


I came across this formula:
$A = sum_i lambda_i x_i x_i^T$
where $lambda_i$ is the i'th eigenvalue and $x_i$ the i'th eigenvector of $A$. As I have no idea how it is called, I was not able to find a proof.



Could someone give a pointer where to find one?



Edit: I have looked at the eigendecomposition, but only found the decomposition $A = Q^T Lambda Q$.










share|cite|improve this question











$endgroup$












  • $begingroup$
    I think this requires the matrix $A$ to be symmetric.
    $endgroup$
    – Mefitico
    Jan 25 at 11:07














1












1








1





$begingroup$


I came across this formula:
$A = sum_i lambda_i x_i x_i^T$
where $lambda_i$ is the i'th eigenvalue and $x_i$ the i'th eigenvector of $A$. As I have no idea how it is called, I was not able to find a proof.



Could someone give a pointer where to find one?



Edit: I have looked at the eigendecomposition, but only found the decomposition $A = Q^T Lambda Q$.










share|cite|improve this question











$endgroup$




I came across this formula:
$A = sum_i lambda_i x_i x_i^T$
where $lambda_i$ is the i'th eigenvalue and $x_i$ the i'th eigenvector of $A$. As I have no idea how it is called, I was not able to find a proof.



Could someone give a pointer where to find one?



Edit: I have looked at the eigendecomposition, but only found the decomposition $A = Q^T Lambda Q$.







linear-algebra eigenvalues-eigenvectors matrix-decomposition






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share|cite|improve this question













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edited Jan 25 at 10:31







user2316602

















asked Jan 25 at 10:24









user2316602user2316602

286




286












  • $begingroup$
    I think this requires the matrix $A$ to be symmetric.
    $endgroup$
    – Mefitico
    Jan 25 at 11:07


















  • $begingroup$
    I think this requires the matrix $A$ to be symmetric.
    $endgroup$
    – Mefitico
    Jan 25 at 11:07
















$begingroup$
I think this requires the matrix $A$ to be symmetric.
$endgroup$
– Mefitico
Jan 25 at 11:07




$begingroup$
I think this requires the matrix $A$ to be symmetric.
$endgroup$
– Mefitico
Jan 25 at 11:07










1 Answer
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$begingroup$

Indeed a one line calculus shows that $A = Q^T Lambda Q = sum_i lambda_i Q_i Q_i^T$ with $Q_i$ denoting the $i^{th}$ column of $Q$.






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    1












    $begingroup$

    Indeed a one line calculus shows that $A = Q^T Lambda Q = sum_i lambda_i Q_i Q_i^T$ with $Q_i$ denoting the $i^{th}$ column of $Q$.






    share|cite|improve this answer











    $endgroup$


















      1












      $begingroup$

      Indeed a one line calculus shows that $A = Q^T Lambda Q = sum_i lambda_i Q_i Q_i^T$ with $Q_i$ denoting the $i^{th}$ column of $Q$.






      share|cite|improve this answer











      $endgroup$
















        1












        1








        1





        $begingroup$

        Indeed a one line calculus shows that $A = Q^T Lambda Q = sum_i lambda_i Q_i Q_i^T$ with $Q_i$ denoting the $i^{th}$ column of $Q$.






        share|cite|improve this answer











        $endgroup$



        Indeed a one line calculus shows that $A = Q^T Lambda Q = sum_i lambda_i Q_i Q_i^T$ with $Q_i$ denoting the $i^{th}$ column of $Q$.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Jan 25 at 14:45

























        answered Jan 25 at 10:57









        BertrandBertrand

        45815




        45815






























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