Is there a special name for the orthogonal projection matrix onto the unit vector?












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$begingroup$


Many problems in multivariate analysis involve the $n times n$ matrix:



$$mathbf{M} equiv boldsymbol{I}_n - frac{1}{n} mathbf{1}_{n times n}.$$



This is an orthogonal projection matrix onto the unit vector, so when it is applied to a column vector containing values $Y_1,...,Y_n$, this matrix subtracts the sample mean $bar{Y}_n$ from these values:



$$mathbf{Y} = begin{bmatrix} Y_1 \ vdots \ Y_n end{bmatrix}
quad quad quad implies quad quad quad
mathbf{M} mathbf{Y} = begin{bmatrix} Y_1 - bar{Y}_n \ vdots \ Y_n - bar{Y}_n end{bmatrix}.$$



There are many simple properties of this matrix, owing to the fact that it is an orthogonal projection matrix. It has $text{tr}(mathbf{M}) = text{rank}(mathbf{M}) = n-1$, which means that it has a single zero eigenvalue and the remaining eigenvalues are all ones. It comes up a lot in multivariate analysis, including statistical problems, where it is common to look at random vectors after subtracting their sample means.



My question: Does this matrix have any special name? Is there a literature on this type of matrix? Aside from the properties I have listed here, are there any other important properties of this matrix that are useful in statistical problems dealing with random vectors?










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  • $begingroup$
    Maybe look at MDS or PCA literature. I vaguely recall it being called the mean-centering matrix there.
    $endgroup$
    – obscurans
    Jan 31 at 2:59
















0












$begingroup$


Many problems in multivariate analysis involve the $n times n$ matrix:



$$mathbf{M} equiv boldsymbol{I}_n - frac{1}{n} mathbf{1}_{n times n}.$$



This is an orthogonal projection matrix onto the unit vector, so when it is applied to a column vector containing values $Y_1,...,Y_n$, this matrix subtracts the sample mean $bar{Y}_n$ from these values:



$$mathbf{Y} = begin{bmatrix} Y_1 \ vdots \ Y_n end{bmatrix}
quad quad quad implies quad quad quad
mathbf{M} mathbf{Y} = begin{bmatrix} Y_1 - bar{Y}_n \ vdots \ Y_n - bar{Y}_n end{bmatrix}.$$



There are many simple properties of this matrix, owing to the fact that it is an orthogonal projection matrix. It has $text{tr}(mathbf{M}) = text{rank}(mathbf{M}) = n-1$, which means that it has a single zero eigenvalue and the remaining eigenvalues are all ones. It comes up a lot in multivariate analysis, including statistical problems, where it is common to look at random vectors after subtracting their sample means.



My question: Does this matrix have any special name? Is there a literature on this type of matrix? Aside from the properties I have listed here, are there any other important properties of this matrix that are useful in statistical problems dealing with random vectors?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Maybe look at MDS or PCA literature. I vaguely recall it being called the mean-centering matrix there.
    $endgroup$
    – obscurans
    Jan 31 at 2:59














0












0








0





$begingroup$


Many problems in multivariate analysis involve the $n times n$ matrix:



$$mathbf{M} equiv boldsymbol{I}_n - frac{1}{n} mathbf{1}_{n times n}.$$



This is an orthogonal projection matrix onto the unit vector, so when it is applied to a column vector containing values $Y_1,...,Y_n$, this matrix subtracts the sample mean $bar{Y}_n$ from these values:



$$mathbf{Y} = begin{bmatrix} Y_1 \ vdots \ Y_n end{bmatrix}
quad quad quad implies quad quad quad
mathbf{M} mathbf{Y} = begin{bmatrix} Y_1 - bar{Y}_n \ vdots \ Y_n - bar{Y}_n end{bmatrix}.$$



There are many simple properties of this matrix, owing to the fact that it is an orthogonal projection matrix. It has $text{tr}(mathbf{M}) = text{rank}(mathbf{M}) = n-1$, which means that it has a single zero eigenvalue and the remaining eigenvalues are all ones. It comes up a lot in multivariate analysis, including statistical problems, where it is common to look at random vectors after subtracting their sample means.



My question: Does this matrix have any special name? Is there a literature on this type of matrix? Aside from the properties I have listed here, are there any other important properties of this matrix that are useful in statistical problems dealing with random vectors?










share|cite|improve this question









$endgroup$




Many problems in multivariate analysis involve the $n times n$ matrix:



$$mathbf{M} equiv boldsymbol{I}_n - frac{1}{n} mathbf{1}_{n times n}.$$



This is an orthogonal projection matrix onto the unit vector, so when it is applied to a column vector containing values $Y_1,...,Y_n$, this matrix subtracts the sample mean $bar{Y}_n$ from these values:



$$mathbf{Y} = begin{bmatrix} Y_1 \ vdots \ Y_n end{bmatrix}
quad quad quad implies quad quad quad
mathbf{M} mathbf{Y} = begin{bmatrix} Y_1 - bar{Y}_n \ vdots \ Y_n - bar{Y}_n end{bmatrix}.$$



There are many simple properties of this matrix, owing to the fact that it is an orthogonal projection matrix. It has $text{tr}(mathbf{M}) = text{rank}(mathbf{M}) = n-1$, which means that it has a single zero eigenvalue and the remaining eigenvalues are all ones. It comes up a lot in multivariate analysis, including statistical problems, where it is common to look at random vectors after subtracting their sample means.



My question: Does this matrix have any special name? Is there a literature on this type of matrix? Aside from the properties I have listed here, are there any other important properties of this matrix that are useful in statistical problems dealing with random vectors?







matrices terminology projection






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asked Jan 31 at 2:20









BenBen

1,900215




1,900215












  • $begingroup$
    Maybe look at MDS or PCA literature. I vaguely recall it being called the mean-centering matrix there.
    $endgroup$
    – obscurans
    Jan 31 at 2:59


















  • $begingroup$
    Maybe look at MDS or PCA literature. I vaguely recall it being called the mean-centering matrix there.
    $endgroup$
    – obscurans
    Jan 31 at 2:59
















$begingroup$
Maybe look at MDS or PCA literature. I vaguely recall it being called the mean-centering matrix there.
$endgroup$
– obscurans
Jan 31 at 2:59




$begingroup$
Maybe look at MDS or PCA literature. I vaguely recall it being called the mean-centering matrix there.
$endgroup$
– obscurans
Jan 31 at 2:59










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From the comment by obscurans I have now found out that this is called the centering matrix. It appears to be discussed specifically in some matrix textbooks, such as in Zhang (2017) (pp. 111-112). It does not appear to have any other important properties beyond what was listed in the question.






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    $begingroup$

    From the comment by obscurans I have now found out that this is called the centering matrix. It appears to be discussed specifically in some matrix textbooks, such as in Zhang (2017) (pp. 111-112). It does not appear to have any other important properties beyond what was listed in the question.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      From the comment by obscurans I have now found out that this is called the centering matrix. It appears to be discussed specifically in some matrix textbooks, such as in Zhang (2017) (pp. 111-112). It does not appear to have any other important properties beyond what was listed in the question.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        From the comment by obscurans I have now found out that this is called the centering matrix. It appears to be discussed specifically in some matrix textbooks, such as in Zhang (2017) (pp. 111-112). It does not appear to have any other important properties beyond what was listed in the question.






        share|cite|improve this answer









        $endgroup$



        From the comment by obscurans I have now found out that this is called the centering matrix. It appears to be discussed specifically in some matrix textbooks, such as in Zhang (2017) (pp. 111-112). It does not appear to have any other important properties beyond what was listed in the question.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Jan 31 at 3:08









        BenBen

        1,900215




        1,900215






























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