If a vector is orthogonal to a subspace, what is its projection?












0












$begingroup$


Suppose $y$ is orthogonal to a subspace spanned by the columns of matrix $A$.



My question is, what is the projection of $y$ onto $A$?



I know that the projection of $y$ onto $A$ is the vector in $A$ such that the distance between that vector and $y$ is minimal.



But I think every vector in $A$ in this case attains same distance.



Hence the projection of $y$ onto $A$ is the set of vectors spanned by $A$.



Is my intuition correct?










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  • $begingroup$
    Your question, and both answers given so far, assumes that there is a projection of $y$ onto the subspace $S_A$ spanned by the columns of $A$. But consider $pmatrix{0 & 0 \ 1 & 2}$, and $y = pmatrix{1\2}$. The subspace $S_A$ is the $y$-axis, so you might say that "the projection" of $y$ is $pmatrix{0\2}$. But the transformation represented by $B = pmatrix{0 &0 \ 1 & 1}$ is also a projection onto $S_A$, and takes $y$ to $pmatrix{0\3}$. It just happens to not be an orthogonal projection.
    $endgroup$
    – John Hughes
    Jan 23 at 8:08


















0












$begingroup$


Suppose $y$ is orthogonal to a subspace spanned by the columns of matrix $A$.



My question is, what is the projection of $y$ onto $A$?



I know that the projection of $y$ onto $A$ is the vector in $A$ such that the distance between that vector and $y$ is minimal.



But I think every vector in $A$ in this case attains same distance.



Hence the projection of $y$ onto $A$ is the set of vectors spanned by $A$.



Is my intuition correct?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Your question, and both answers given so far, assumes that there is a projection of $y$ onto the subspace $S_A$ spanned by the columns of $A$. But consider $pmatrix{0 & 0 \ 1 & 2}$, and $y = pmatrix{1\2}$. The subspace $S_A$ is the $y$-axis, so you might say that "the projection" of $y$ is $pmatrix{0\2}$. But the transformation represented by $B = pmatrix{0 &0 \ 1 & 1}$ is also a projection onto $S_A$, and takes $y$ to $pmatrix{0\3}$. It just happens to not be an orthogonal projection.
    $endgroup$
    – John Hughes
    Jan 23 at 8:08
















0












0








0





$begingroup$


Suppose $y$ is orthogonal to a subspace spanned by the columns of matrix $A$.



My question is, what is the projection of $y$ onto $A$?



I know that the projection of $y$ onto $A$ is the vector in $A$ such that the distance between that vector and $y$ is minimal.



But I think every vector in $A$ in this case attains same distance.



Hence the projection of $y$ onto $A$ is the set of vectors spanned by $A$.



Is my intuition correct?










share|cite|improve this question









$endgroup$




Suppose $y$ is orthogonal to a subspace spanned by the columns of matrix $A$.



My question is, what is the projection of $y$ onto $A$?



I know that the projection of $y$ onto $A$ is the vector in $A$ such that the distance between that vector and $y$ is minimal.



But I think every vector in $A$ in this case attains same distance.



Hence the projection of $y$ onto $A$ is the set of vectors spanned by $A$.



Is my intuition correct?







linear-algebra






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asked Jan 23 at 6:37









The man of your dreamThe man of your dream

23110




23110












  • $begingroup$
    Your question, and both answers given so far, assumes that there is a projection of $y$ onto the subspace $S_A$ spanned by the columns of $A$. But consider $pmatrix{0 & 0 \ 1 & 2}$, and $y = pmatrix{1\2}$. The subspace $S_A$ is the $y$-axis, so you might say that "the projection" of $y$ is $pmatrix{0\2}$. But the transformation represented by $B = pmatrix{0 &0 \ 1 & 1}$ is also a projection onto $S_A$, and takes $y$ to $pmatrix{0\3}$. It just happens to not be an orthogonal projection.
    $endgroup$
    – John Hughes
    Jan 23 at 8:08




















  • $begingroup$
    Your question, and both answers given so far, assumes that there is a projection of $y$ onto the subspace $S_A$ spanned by the columns of $A$. But consider $pmatrix{0 & 0 \ 1 & 2}$, and $y = pmatrix{1\2}$. The subspace $S_A$ is the $y$-axis, so you might say that "the projection" of $y$ is $pmatrix{0\2}$. But the transformation represented by $B = pmatrix{0 &0 \ 1 & 1}$ is also a projection onto $S_A$, and takes $y$ to $pmatrix{0\3}$. It just happens to not be an orthogonal projection.
    $endgroup$
    – John Hughes
    Jan 23 at 8:08


















$begingroup$
Your question, and both answers given so far, assumes that there is a projection of $y$ onto the subspace $S_A$ spanned by the columns of $A$. But consider $pmatrix{0 & 0 \ 1 & 2}$, and $y = pmatrix{1\2}$. The subspace $S_A$ is the $y$-axis, so you might say that "the projection" of $y$ is $pmatrix{0\2}$. But the transformation represented by $B = pmatrix{0 &0 \ 1 & 1}$ is also a projection onto $S_A$, and takes $y$ to $pmatrix{0\3}$. It just happens to not be an orthogonal projection.
$endgroup$
– John Hughes
Jan 23 at 8:08






$begingroup$
Your question, and both answers given so far, assumes that there is a projection of $y$ onto the subspace $S_A$ spanned by the columns of $A$. But consider $pmatrix{0 & 0 \ 1 & 2}$, and $y = pmatrix{1\2}$. The subspace $S_A$ is the $y$-axis, so you might say that "the projection" of $y$ is $pmatrix{0\2}$. But the transformation represented by $B = pmatrix{0 &0 \ 1 & 1}$ is also a projection onto $S_A$, and takes $y$ to $pmatrix{0\3}$. It just happens to not be an orthogonal projection.
$endgroup$
– John Hughes
Jan 23 at 8:08












2 Answers
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$begingroup$

The projection of $y$ onto $A$ will be the zero vector. For any other vector $vin A$ you will have $||y-v|| = sqrt{||y||^2+||v||^2} > ||y||.$






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$endgroup$





















    0












    $begingroup$

    Zero.



    The kernel of the projection onto a subspace $A$ is the orthogonal complement of the subspace, $A^{perp}$.



    That should be your intuition. The zero vector is in a sense the closest vector in $A$ to an orthogonal vector.






    share|cite|improve this answer











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      2 Answers
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      2 Answers
      2






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      0












      $begingroup$

      The projection of $y$ onto $A$ will be the zero vector. For any other vector $vin A$ you will have $||y-v|| = sqrt{||y||^2+||v||^2} > ||y||.$






      share|cite|improve this answer









      $endgroup$


















        0












        $begingroup$

        The projection of $y$ onto $A$ will be the zero vector. For any other vector $vin A$ you will have $||y-v|| = sqrt{||y||^2+||v||^2} > ||y||.$






        share|cite|improve this answer









        $endgroup$
















          0












          0








          0





          $begingroup$

          The projection of $y$ onto $A$ will be the zero vector. For any other vector $vin A$ you will have $||y-v|| = sqrt{||y||^2+||v||^2} > ||y||.$






          share|cite|improve this answer









          $endgroup$



          The projection of $y$ onto $A$ will be the zero vector. For any other vector $vin A$ you will have $||y-v|| = sqrt{||y||^2+||v||^2} > ||y||.$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 23 at 6:42









          Reiner MartinReiner Martin

          3,434414




          3,434414























              0












              $begingroup$

              Zero.



              The kernel of the projection onto a subspace $A$ is the orthogonal complement of the subspace, $A^{perp}$.



              That should be your intuition. The zero vector is in a sense the closest vector in $A$ to an orthogonal vector.






              share|cite|improve this answer











              $endgroup$


















                0












                $begingroup$

                Zero.



                The kernel of the projection onto a subspace $A$ is the orthogonal complement of the subspace, $A^{perp}$.



                That should be your intuition. The zero vector is in a sense the closest vector in $A$ to an orthogonal vector.






                share|cite|improve this answer











                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  Zero.



                  The kernel of the projection onto a subspace $A$ is the orthogonal complement of the subspace, $A^{perp}$.



                  That should be your intuition. The zero vector is in a sense the closest vector in $A$ to an orthogonal vector.






                  share|cite|improve this answer











                  $endgroup$



                  Zero.



                  The kernel of the projection onto a subspace $A$ is the orthogonal complement of the subspace, $A^{perp}$.



                  That should be your intuition. The zero vector is in a sense the closest vector in $A$ to an orthogonal vector.







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Jan 23 at 7:47

























                  answered Jan 23 at 7:42









                  Chris CusterChris Custer

                  14k3827




                  14k3827






























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