Show that $A = sum_i lambda_i x_i x_i^T$
$begingroup$
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 $A = Q^T Lambda Q$.
linear-algebra eigenvalues-eigenvectors matrix-decomposition
$endgroup$
add a comment |
$begingroup$
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 $A = Q^T Lambda Q$.
linear-algebra eigenvalues-eigenvectors matrix-decomposition
$endgroup$
$begingroup$
I think this requires the matrix $A$ to be symmetric.
$endgroup$
– Mefitico
Jan 25 at 11:07
add a comment |
$begingroup$
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 $A = Q^T Lambda Q$.
linear-algebra eigenvalues-eigenvectors matrix-decomposition
$endgroup$
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
linear-algebra eigenvalues-eigenvectors matrix-decomposition
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
add a comment |
$begingroup$
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
add a comment |
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 $Q$.
$endgroup$
add a comment |
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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 $Q$.
$endgroup$
add a comment |
$begingroup$
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 $Q$.
$endgroup$
add a comment |
$begingroup$
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 $Q$.
$endgroup$
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 $Q$.
edited Jan 25 at 14:45
answered Jan 25 at 10:57
BertrandBertrand
45815
45815
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$begingroup$
I think this requires the matrix $A$ to be symmetric.
$endgroup$
– Mefitico
Jan 25 at 11:07