Linear Algebra, orthogonal columns and length












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Suppose A is a 3x3 matrix whose columns are orthogonal and the length (two-norm) of each column equals 4. Then what is $A^T*A$?



How would I even start proving this? I have to remain general such that my reasoning applies to any matrix of that form. I just cannot pick a random 3x3 orthogonal column matrix to see the outcome.










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  • $begingroup$
    Try to find out what is the entry $;1-1;$ in the product...Can you see that it is the square of the norm of the first column of $;A;$ ?
    $endgroup$
    – DonAntonio
    Jan 18 at 13:55
















0












$begingroup$


Suppose A is a 3x3 matrix whose columns are orthogonal and the length (two-norm) of each column equals 4. Then what is $A^T*A$?



How would I even start proving this? I have to remain general such that my reasoning applies to any matrix of that form. I just cannot pick a random 3x3 orthogonal column matrix to see the outcome.










share|cite|improve this question











$endgroup$












  • $begingroup$
    Try to find out what is the entry $;1-1;$ in the product...Can you see that it is the square of the norm of the first column of $;A;$ ?
    $endgroup$
    – DonAntonio
    Jan 18 at 13:55














0












0








0





$begingroup$


Suppose A is a 3x3 matrix whose columns are orthogonal and the length (two-norm) of each column equals 4. Then what is $A^T*A$?



How would I even start proving this? I have to remain general such that my reasoning applies to any matrix of that form. I just cannot pick a random 3x3 orthogonal column matrix to see the outcome.










share|cite|improve this question











$endgroup$




Suppose A is a 3x3 matrix whose columns are orthogonal and the length (two-norm) of each column equals 4. Then what is $A^T*A$?



How would I even start proving this? I have to remain general such that my reasoning applies to any matrix of that form. I just cannot pick a random 3x3 orthogonal column matrix to see the outcome.







linear-algebra orthogonality orthogonal-matrices






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edited Jan 18 at 13:51









Moo

5,65031020




5,65031020










asked Jan 18 at 13:49









Wouter VandenputteWouter Vandenputte

1295




1295












  • $begingroup$
    Try to find out what is the entry $;1-1;$ in the product...Can you see that it is the square of the norm of the first column of $;A;$ ?
    $endgroup$
    – DonAntonio
    Jan 18 at 13:55


















  • $begingroup$
    Try to find out what is the entry $;1-1;$ in the product...Can you see that it is the square of the norm of the first column of $;A;$ ?
    $endgroup$
    – DonAntonio
    Jan 18 at 13:55
















$begingroup$
Try to find out what is the entry $;1-1;$ in the product...Can you see that it is the square of the norm of the first column of $;A;$ ?
$endgroup$
– DonAntonio
Jan 18 at 13:55




$begingroup$
Try to find out what is the entry $;1-1;$ in the product...Can you see that it is the square of the norm of the first column of $;A;$ ?
$endgroup$
– DonAntonio
Jan 18 at 13:55










1 Answer
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How you define the element $alpha_{ij}$ in the matrix $A^TA$? It's the scalar product of the $i$-th row of $A^T$ and the $j$-th column of $A$. But the $i$-th row of $A^T$ is the $i$-th column of $A$ (by definition of transpose). Thus $alpha_{ij}=0$ if $i neq j$ since the columns of $A$ are orthogonal, and $alpha_{jj}=16$. Therefore $A^TA=16I$ where $I$ is the identity matrix of order $3$






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    1 Answer
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    $begingroup$

    How you define the element $alpha_{ij}$ in the matrix $A^TA$? It's the scalar product of the $i$-th row of $A^T$ and the $j$-th column of $A$. But the $i$-th row of $A^T$ is the $i$-th column of $A$ (by definition of transpose). Thus $alpha_{ij}=0$ if $i neq j$ since the columns of $A$ are orthogonal, and $alpha_{jj}=16$. Therefore $A^TA=16I$ where $I$ is the identity matrix of order $3$






    share|cite|improve this answer









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      0












      $begingroup$

      How you define the element $alpha_{ij}$ in the matrix $A^TA$? It's the scalar product of the $i$-th row of $A^T$ and the $j$-th column of $A$. But the $i$-th row of $A^T$ is the $i$-th column of $A$ (by definition of transpose). Thus $alpha_{ij}=0$ if $i neq j$ since the columns of $A$ are orthogonal, and $alpha_{jj}=16$. Therefore $A^TA=16I$ where $I$ is the identity matrix of order $3$






      share|cite|improve this answer









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        $begingroup$

        How you define the element $alpha_{ij}$ in the matrix $A^TA$? It's the scalar product of the $i$-th row of $A^T$ and the $j$-th column of $A$. But the $i$-th row of $A^T$ is the $i$-th column of $A$ (by definition of transpose). Thus $alpha_{ij}=0$ if $i neq j$ since the columns of $A$ are orthogonal, and $alpha_{jj}=16$. Therefore $A^TA=16I$ where $I$ is the identity matrix of order $3$






        share|cite|improve this answer









        $endgroup$



        How you define the element $alpha_{ij}$ in the matrix $A^TA$? It's the scalar product of the $i$-th row of $A^T$ and the $j$-th column of $A$. But the $i$-th row of $A^T$ is the $i$-th column of $A$ (by definition of transpose). Thus $alpha_{ij}=0$ if $i neq j$ since the columns of $A$ are orthogonal, and $alpha_{jj}=16$. Therefore $A^TA=16I$ where $I$ is the identity matrix of order $3$







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Jan 18 at 13:57









        user289143user289143

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