Equivalent Definitions of Lines in Projective Space












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I’ve been working with two definitions of lines in $mathbb{P}_mathbb{R}^2$, and tried to show their equivalence.



The first is that, given two points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$, the line between them is given by ${ua+vb:u,vinmathbb{R}}$.



The second is $${(X_0:X_1:X_2):k_0X_0+k_1X_1+k_2X_2=0}$$ for some $k_iinmathbb{R}$ not all $0$.



Given two distinct points $a$ and $b$, we can use simple linear algebra to find $k_i$ such that our points lie on that line.



However I've been struggling to show the converse. That is, given two distinct points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$ such that $$k_0a_0+k_1a_1+k_2a_2=0$$ and $$k_0b_0+k_1b_1+k_2b_2=0$$ for some $k_iinmathbb{R}$ not all $0$, then for any point $c=(c_0:c_1:c_2)$ such that $$k_0c_0+k_1c_1+k_2c_2=0$$ we should be able to write $c=ua+vb$ for some $u,vinmathbb{R}$.



Perhaps I'm overlooking something simple, but any help would be much appreciated.










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  • $begingroup$
    I don't think your definitions are equivalent as stated: take $k_0 = k_1 = k_2 = 0$ and you see that all of $mathbb{P}^2$ lies in your second 'line'. I'm sure that can be easily corrected, however.
    $endgroup$
    – bounceback
    Jan 10 at 18:01










  • $begingroup$
    Edited, thanks.
    $endgroup$
    – Dave
    Jan 10 at 18:07






  • 1




    $begingroup$
    Hints: if $a$ and $b$ are distinct, then their coordinate tuples are linearly independent. What is the dimension of the orthogonal complement of $(k_0,k_1,k_2)$?
    $endgroup$
    – amd
    Jan 10 at 18:51


















0












$begingroup$


I’ve been working with two definitions of lines in $mathbb{P}_mathbb{R}^2$, and tried to show their equivalence.



The first is that, given two points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$, the line between them is given by ${ua+vb:u,vinmathbb{R}}$.



The second is $${(X_0:X_1:X_2):k_0X_0+k_1X_1+k_2X_2=0}$$ for some $k_iinmathbb{R}$ not all $0$.



Given two distinct points $a$ and $b$, we can use simple linear algebra to find $k_i$ such that our points lie on that line.



However I've been struggling to show the converse. That is, given two distinct points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$ such that $$k_0a_0+k_1a_1+k_2a_2=0$$ and $$k_0b_0+k_1b_1+k_2b_2=0$$ for some $k_iinmathbb{R}$ not all $0$, then for any point $c=(c_0:c_1:c_2)$ such that $$k_0c_0+k_1c_1+k_2c_2=0$$ we should be able to write $c=ua+vb$ for some $u,vinmathbb{R}$.



Perhaps I'm overlooking something simple, but any help would be much appreciated.










share|cite|improve this question











$endgroup$












  • $begingroup$
    I don't think your definitions are equivalent as stated: take $k_0 = k_1 = k_2 = 0$ and you see that all of $mathbb{P}^2$ lies in your second 'line'. I'm sure that can be easily corrected, however.
    $endgroup$
    – bounceback
    Jan 10 at 18:01










  • $begingroup$
    Edited, thanks.
    $endgroup$
    – Dave
    Jan 10 at 18:07






  • 1




    $begingroup$
    Hints: if $a$ and $b$ are distinct, then their coordinate tuples are linearly independent. What is the dimension of the orthogonal complement of $(k_0,k_1,k_2)$?
    $endgroup$
    – amd
    Jan 10 at 18:51
















0












0








0





$begingroup$


I’ve been working with two definitions of lines in $mathbb{P}_mathbb{R}^2$, and tried to show their equivalence.



The first is that, given two points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$, the line between them is given by ${ua+vb:u,vinmathbb{R}}$.



The second is $${(X_0:X_1:X_2):k_0X_0+k_1X_1+k_2X_2=0}$$ for some $k_iinmathbb{R}$ not all $0$.



Given two distinct points $a$ and $b$, we can use simple linear algebra to find $k_i$ such that our points lie on that line.



However I've been struggling to show the converse. That is, given two distinct points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$ such that $$k_0a_0+k_1a_1+k_2a_2=0$$ and $$k_0b_0+k_1b_1+k_2b_2=0$$ for some $k_iinmathbb{R}$ not all $0$, then for any point $c=(c_0:c_1:c_2)$ such that $$k_0c_0+k_1c_1+k_2c_2=0$$ we should be able to write $c=ua+vb$ for some $u,vinmathbb{R}$.



Perhaps I'm overlooking something simple, but any help would be much appreciated.










share|cite|improve this question











$endgroup$




I’ve been working with two definitions of lines in $mathbb{P}_mathbb{R}^2$, and tried to show their equivalence.



The first is that, given two points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$, the line between them is given by ${ua+vb:u,vinmathbb{R}}$.



The second is $${(X_0:X_1:X_2):k_0X_0+k_1X_1+k_2X_2=0}$$ for some $k_iinmathbb{R}$ not all $0$.



Given two distinct points $a$ and $b$, we can use simple linear algebra to find $k_i$ such that our points lie on that line.



However I've been struggling to show the converse. That is, given two distinct points $a=(a_0:a_1:a_2)$ and $b=(b_0:b_1:b_2)$ such that $$k_0a_0+k_1a_1+k_2a_2=0$$ and $$k_0b_0+k_1b_1+k_2b_2=0$$ for some $k_iinmathbb{R}$ not all $0$, then for any point $c=(c_0:c_1:c_2)$ such that $$k_0c_0+k_1c_1+k_2c_2=0$$ we should be able to write $c=ua+vb$ for some $u,vinmathbb{R}$.



Perhaps I'm overlooking something simple, but any help would be much appreciated.







geometry algebraic-geometry projective-geometry projective-space






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share|cite|improve this question













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edited Jan 10 at 18:43







Dave

















asked Jan 10 at 17:53









DaveDave

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205












  • $begingroup$
    I don't think your definitions are equivalent as stated: take $k_0 = k_1 = k_2 = 0$ and you see that all of $mathbb{P}^2$ lies in your second 'line'. I'm sure that can be easily corrected, however.
    $endgroup$
    – bounceback
    Jan 10 at 18:01










  • $begingroup$
    Edited, thanks.
    $endgroup$
    – Dave
    Jan 10 at 18:07






  • 1




    $begingroup$
    Hints: if $a$ and $b$ are distinct, then their coordinate tuples are linearly independent. What is the dimension of the orthogonal complement of $(k_0,k_1,k_2)$?
    $endgroup$
    – amd
    Jan 10 at 18:51




















  • $begingroup$
    I don't think your definitions are equivalent as stated: take $k_0 = k_1 = k_2 = 0$ and you see that all of $mathbb{P}^2$ lies in your second 'line'. I'm sure that can be easily corrected, however.
    $endgroup$
    – bounceback
    Jan 10 at 18:01










  • $begingroup$
    Edited, thanks.
    $endgroup$
    – Dave
    Jan 10 at 18:07






  • 1




    $begingroup$
    Hints: if $a$ and $b$ are distinct, then their coordinate tuples are linearly independent. What is the dimension of the orthogonal complement of $(k_0,k_1,k_2)$?
    $endgroup$
    – amd
    Jan 10 at 18:51


















$begingroup$
I don't think your definitions are equivalent as stated: take $k_0 = k_1 = k_2 = 0$ and you see that all of $mathbb{P}^2$ lies in your second 'line'. I'm sure that can be easily corrected, however.
$endgroup$
– bounceback
Jan 10 at 18:01




$begingroup$
I don't think your definitions are equivalent as stated: take $k_0 = k_1 = k_2 = 0$ and you see that all of $mathbb{P}^2$ lies in your second 'line'. I'm sure that can be easily corrected, however.
$endgroup$
– bounceback
Jan 10 at 18:01












$begingroup$
Edited, thanks.
$endgroup$
– Dave
Jan 10 at 18:07




$begingroup$
Edited, thanks.
$endgroup$
– Dave
Jan 10 at 18:07




1




1




$begingroup$
Hints: if $a$ and $b$ are distinct, then their coordinate tuples are linearly independent. What is the dimension of the orthogonal complement of $(k_0,k_1,k_2)$?
$endgroup$
– amd
Jan 10 at 18:51






$begingroup$
Hints: if $a$ and $b$ are distinct, then their coordinate tuples are linearly independent. What is the dimension of the orthogonal complement of $(k_0,k_1,k_2)$?
$endgroup$
– amd
Jan 10 at 18:51












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Since $(k_0,k_1,k_2$) isn't in its own orthogonal complement it can't be of dimension $3$. Then because both $a$ and $b$ are, and are linearly independent, it must be of dimension $2$ with $a$ and $b$ as a basis. Then since $c$ is in the orthogonal complement it must be expressible in terms of $a$ and $b$, and we can use simple linear algebra to find the coefficients.



Thanks to amd for their comment.






share|cite|improve this answer











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    $begingroup$

    Since $(k_0,k_1,k_2$) isn't in its own orthogonal complement it can't be of dimension $3$. Then because both $a$ and $b$ are, and are linearly independent, it must be of dimension $2$ with $a$ and $b$ as a basis. Then since $c$ is in the orthogonal complement it must be expressible in terms of $a$ and $b$, and we can use simple linear algebra to find the coefficients.



    Thanks to amd for their comment.






    share|cite|improve this answer











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      0












      $begingroup$

      Since $(k_0,k_1,k_2$) isn't in its own orthogonal complement it can't be of dimension $3$. Then because both $a$ and $b$ are, and are linearly independent, it must be of dimension $2$ with $a$ and $b$ as a basis. Then since $c$ is in the orthogonal complement it must be expressible in terms of $a$ and $b$, and we can use simple linear algebra to find the coefficients.



      Thanks to amd for their comment.






      share|cite|improve this answer











      $endgroup$
















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        $begingroup$

        Since $(k_0,k_1,k_2$) isn't in its own orthogonal complement it can't be of dimension $3$. Then because both $a$ and $b$ are, and are linearly independent, it must be of dimension $2$ with $a$ and $b$ as a basis. Then since $c$ is in the orthogonal complement it must be expressible in terms of $a$ and $b$, and we can use simple linear algebra to find the coefficients.



        Thanks to amd for their comment.






        share|cite|improve this answer











        $endgroup$



        Since $(k_0,k_1,k_2$) isn't in its own orthogonal complement it can't be of dimension $3$. Then because both $a$ and $b$ are, and are linearly independent, it must be of dimension $2$ with $a$ and $b$ as a basis. Then since $c$ is in the orthogonal complement it must be expressible in terms of $a$ and $b$, and we can use simple linear algebra to find the coefficients.



        Thanks to amd for their comment.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        answered Jan 13 at 18:03


























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