Find the orthogonal bases of the space $ V $ and $ V^{perp}$












1












$begingroup$


In space $mathbb R^3 $ f Find the orthogonal bases of the space $ V $ and $ V^{perp}$ where $$V = left{ vec{x} in mathbb R^3 : x_1 - 3x_2 + x_3 = 0 right} $$
On the begining, I know that may I ask you for basics of topic, but I truly have some doubts...


Ok, I found basis of $V$: $ [3,1,0]^T,[-1,0,1]^T$
and I have used Gram–Schmidt process to find orthogonal basis of $V$:
$[3,1,0]^T,[-1/10,3/10,1]^T$


Ok, now I should find basis of $ V^{perp} $ and on the same algorithm find orthogonal basis of $V^{perp}$ - but there is my question - if in basis of $V^{perp}$ I have all vectors which are perpendicular to vectors from basis $V$, the basis of $ V^{perp} $ will be just orthogonal basis of $V$? And orthogonal basis of $V^{perp}$ will be just basis of $V$? Have I right or there is something other to do?










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$endgroup$












  • $begingroup$
    I have asked this again with fixed symbols
    $endgroup$
    – VirtualUser
    Jan 3 at 12:07










  • $begingroup$
    You could simply edit the old question fixing those symbols (see the edit button). It is easier than retyping the whole thing as a new question.
    $endgroup$
    – A.Γ.
    Jan 3 at 12:25


















1












$begingroup$


In space $mathbb R^3 $ f Find the orthogonal bases of the space $ V $ and $ V^{perp}$ where $$V = left{ vec{x} in mathbb R^3 : x_1 - 3x_2 + x_3 = 0 right} $$
On the begining, I know that may I ask you for basics of topic, but I truly have some doubts...


Ok, I found basis of $V$: $ [3,1,0]^T,[-1,0,1]^T$
and I have used Gram–Schmidt process to find orthogonal basis of $V$:
$[3,1,0]^T,[-1/10,3/10,1]^T$


Ok, now I should find basis of $ V^{perp} $ and on the same algorithm find orthogonal basis of $V^{perp}$ - but there is my question - if in basis of $V^{perp}$ I have all vectors which are perpendicular to vectors from basis $V$, the basis of $ V^{perp} $ will be just orthogonal basis of $V$? And orthogonal basis of $V^{perp}$ will be just basis of $V$? Have I right or there is something other to do?










share|cite|improve this question









$endgroup$












  • $begingroup$
    I have asked this again with fixed symbols
    $endgroup$
    – VirtualUser
    Jan 3 at 12:07










  • $begingroup$
    You could simply edit the old question fixing those symbols (see the edit button). It is easier than retyping the whole thing as a new question.
    $endgroup$
    – A.Γ.
    Jan 3 at 12:25
















1












1








1





$begingroup$


In space $mathbb R^3 $ f Find the orthogonal bases of the space $ V $ and $ V^{perp}$ where $$V = left{ vec{x} in mathbb R^3 : x_1 - 3x_2 + x_3 = 0 right} $$
On the begining, I know that may I ask you for basics of topic, but I truly have some doubts...


Ok, I found basis of $V$: $ [3,1,0]^T,[-1,0,1]^T$
and I have used Gram–Schmidt process to find orthogonal basis of $V$:
$[3,1,0]^T,[-1/10,3/10,1]^T$


Ok, now I should find basis of $ V^{perp} $ and on the same algorithm find orthogonal basis of $V^{perp}$ - but there is my question - if in basis of $V^{perp}$ I have all vectors which are perpendicular to vectors from basis $V$, the basis of $ V^{perp} $ will be just orthogonal basis of $V$? And orthogonal basis of $V^{perp}$ will be just basis of $V$? Have I right or there is something other to do?










share|cite|improve this question









$endgroup$




In space $mathbb R^3 $ f Find the orthogonal bases of the space $ V $ and $ V^{perp}$ where $$V = left{ vec{x} in mathbb R^3 : x_1 - 3x_2 + x_3 = 0 right} $$
On the begining, I know that may I ask you for basics of topic, but I truly have some doubts...


Ok, I found basis of $V$: $ [3,1,0]^T,[-1,0,1]^T$
and I have used Gram–Schmidt process to find orthogonal basis of $V$:
$[3,1,0]^T,[-1/10,3/10,1]^T$


Ok, now I should find basis of $ V^{perp} $ and on the same algorithm find orthogonal basis of $V^{perp}$ - but there is my question - if in basis of $V^{perp}$ I have all vectors which are perpendicular to vectors from basis $V$, the basis of $ V^{perp} $ will be just orthogonal basis of $V$? And orthogonal basis of $V^{perp}$ will be just basis of $V$? Have I right or there is something other to do?







linear-algebra orthogonality






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asked Jan 3 at 12:07









VirtualUserVirtualUser

69414




69414












  • $begingroup$
    I have asked this again with fixed symbols
    $endgroup$
    – VirtualUser
    Jan 3 at 12:07










  • $begingroup$
    You could simply edit the old question fixing those symbols (see the edit button). It is easier than retyping the whole thing as a new question.
    $endgroup$
    – A.Γ.
    Jan 3 at 12:25




















  • $begingroup$
    I have asked this again with fixed symbols
    $endgroup$
    – VirtualUser
    Jan 3 at 12:07










  • $begingroup$
    You could simply edit the old question fixing those symbols (see the edit button). It is easier than retyping the whole thing as a new question.
    $endgroup$
    – A.Γ.
    Jan 3 at 12:25


















$begingroup$
I have asked this again with fixed symbols
$endgroup$
– VirtualUser
Jan 3 at 12:07




$begingroup$
I have asked this again with fixed symbols
$endgroup$
– VirtualUser
Jan 3 at 12:07












$begingroup$
You could simply edit the old question fixing those symbols (see the edit button). It is easier than retyping the whole thing as a new question.
$endgroup$
– A.Γ.
Jan 3 at 12:25






$begingroup$
You could simply edit the old question fixing those symbols (see the edit button). It is easier than retyping the whole thing as a new question.
$endgroup$
– A.Γ.
Jan 3 at 12:25












2 Answers
2






active

oldest

votes


















1












$begingroup$

You have a mistake in your Gram-Schmidt, it should be:



$$left{frac1{sqrt{10}}begin{bmatrix} 3 \ 1 \ 0end{bmatrix}, frac1{sqrt{110}}begin{bmatrix} -1 \ 3 \ 10end{bmatrix}right}$$



To find the orthonormal basis for $V^perp$, notice that $dim V^perp = dimmathbb{R}^3 - dim V = 3-2 = 1$ so it suffices to find one vector perpendicular to $V$ and normalize it:



$$frac1{sqrt{11}}begin{bmatrix} 1 \ -3 \ 1end{bmatrix}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    There is no mistake. It says an orthogonal basis, not orthonormal.
    $endgroup$
    – Shubham Johri
    Jan 3 at 12:30










  • $begingroup$
    @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
    $endgroup$
    – mechanodroid
    Jan 3 at 12:35






  • 1




    $begingroup$
    @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
    $endgroup$
    – Shubham Johri
    Jan 3 at 12:45






  • 1




    $begingroup$
    @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
    $endgroup$
    – Shubham Johri
    Jan 3 at 15:38








  • 1




    $begingroup$
    Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
    $endgroup$
    – Shubham Johri
    Jan 3 at 15:42





















2












$begingroup$

No, it's wrong. If you have an orthogonal basis $mathcal{B} = {v_1,cdots, v_n}$ of $V$, then for each $v_i$, it is perpendicular to other $v_j$'s but not to itself. So $v_inotin V^perp$ for all $i$. By the way, you can find an orthonormal basis of $V^perp$ easily from the definition of $V$ as
$$
V = {(1,-3,1)}^perp.
$$
(It's just ${frac{1}{sqrt{11}}(1,-3,1)'}$.)






share|cite|improve this answer









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    2 Answers
    2






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    2 Answers
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    active

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    1












    $begingroup$

    You have a mistake in your Gram-Schmidt, it should be:



    $$left{frac1{sqrt{10}}begin{bmatrix} 3 \ 1 \ 0end{bmatrix}, frac1{sqrt{110}}begin{bmatrix} -1 \ 3 \ 10end{bmatrix}right}$$



    To find the orthonormal basis for $V^perp$, notice that $dim V^perp = dimmathbb{R}^3 - dim V = 3-2 = 1$ so it suffices to find one vector perpendicular to $V$ and normalize it:



    $$frac1{sqrt{11}}begin{bmatrix} 1 \ -3 \ 1end{bmatrix}$$






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      There is no mistake. It says an orthogonal basis, not orthonormal.
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:30










    • $begingroup$
      @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
      $endgroup$
      – mechanodroid
      Jan 3 at 12:35






    • 1




      $begingroup$
      @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:45






    • 1




      $begingroup$
      @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:38








    • 1




      $begingroup$
      Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:42


















    1












    $begingroup$

    You have a mistake in your Gram-Schmidt, it should be:



    $$left{frac1{sqrt{10}}begin{bmatrix} 3 \ 1 \ 0end{bmatrix}, frac1{sqrt{110}}begin{bmatrix} -1 \ 3 \ 10end{bmatrix}right}$$



    To find the orthonormal basis for $V^perp$, notice that $dim V^perp = dimmathbb{R}^3 - dim V = 3-2 = 1$ so it suffices to find one vector perpendicular to $V$ and normalize it:



    $$frac1{sqrt{11}}begin{bmatrix} 1 \ -3 \ 1end{bmatrix}$$






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      There is no mistake. It says an orthogonal basis, not orthonormal.
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:30










    • $begingroup$
      @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
      $endgroup$
      – mechanodroid
      Jan 3 at 12:35






    • 1




      $begingroup$
      @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:45






    • 1




      $begingroup$
      @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:38








    • 1




      $begingroup$
      Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:42
















    1












    1








    1





    $begingroup$

    You have a mistake in your Gram-Schmidt, it should be:



    $$left{frac1{sqrt{10}}begin{bmatrix} 3 \ 1 \ 0end{bmatrix}, frac1{sqrt{110}}begin{bmatrix} -1 \ 3 \ 10end{bmatrix}right}$$



    To find the orthonormal basis for $V^perp$, notice that $dim V^perp = dimmathbb{R}^3 - dim V = 3-2 = 1$ so it suffices to find one vector perpendicular to $V$ and normalize it:



    $$frac1{sqrt{11}}begin{bmatrix} 1 \ -3 \ 1end{bmatrix}$$






    share|cite|improve this answer









    $endgroup$



    You have a mistake in your Gram-Schmidt, it should be:



    $$left{frac1{sqrt{10}}begin{bmatrix} 3 \ 1 \ 0end{bmatrix}, frac1{sqrt{110}}begin{bmatrix} -1 \ 3 \ 10end{bmatrix}right}$$



    To find the orthonormal basis for $V^perp$, notice that $dim V^perp = dimmathbb{R}^3 - dim V = 3-2 = 1$ so it suffices to find one vector perpendicular to $V$ and normalize it:



    $$frac1{sqrt{11}}begin{bmatrix} 1 \ -3 \ 1end{bmatrix}$$







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Jan 3 at 12:19









    mechanodroidmechanodroid

    27.4k62447




    27.4k62447












    • $begingroup$
      There is no mistake. It says an orthogonal basis, not orthonormal.
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:30










    • $begingroup$
      @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
      $endgroup$
      – mechanodroid
      Jan 3 at 12:35






    • 1




      $begingroup$
      @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:45






    • 1




      $begingroup$
      @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:38








    • 1




      $begingroup$
      Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:42




















    • $begingroup$
      There is no mistake. It says an orthogonal basis, not orthonormal.
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:30










    • $begingroup$
      @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
      $endgroup$
      – mechanodroid
      Jan 3 at 12:35






    • 1




      $begingroup$
      @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
      $endgroup$
      – Shubham Johri
      Jan 3 at 12:45






    • 1




      $begingroup$
      @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:38








    • 1




      $begingroup$
      Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
      $endgroup$
      – Shubham Johri
      Jan 3 at 15:42


















    $begingroup$
    There is no mistake. It says an orthogonal basis, not orthonormal.
    $endgroup$
    – Shubham Johri
    Jan 3 at 12:30




    $begingroup$
    There is no mistake. It says an orthogonal basis, not orthonormal.
    $endgroup$
    – Shubham Johri
    Jan 3 at 12:30












    $begingroup$
    @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
    $endgroup$
    – mechanodroid
    Jan 3 at 12:35




    $begingroup$
    @ShubhamJohri OP said they used Gram-Schmidt. Gram-Schmidt yields the basis from my answer.
    $endgroup$
    – mechanodroid
    Jan 3 at 12:35




    1




    1




    $begingroup$
    @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
    $endgroup$
    – Shubham Johri
    Jan 3 at 12:45




    $begingroup$
    @VirtualUser Since you only want an orthogonal basis, normalization is not necessary, but it won't get you a wrong answer. An orthonormal basis is orthogonal too
    $endgroup$
    – Shubham Johri
    Jan 3 at 12:45




    1




    1




    $begingroup$
    @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
    $endgroup$
    – Shubham Johri
    Jan 3 at 15:38






    $begingroup$
    @VirtualUser That is correct. Take $(a,b,c)in V^perp$, then $forall(x_1,x_2,x_3)in V$, we have $(a,b,c)cdot(x_1,x_2,x_3)=0$. Now take $(x_1,x_2,x_3)$ as any two vectors in $V$ to get $(a,b,c)=k(1,-3,1),kinBbb R$.
    $endgroup$
    – Shubham Johri
    Jan 3 at 15:38






    1




    1




    $begingroup$
    Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
    $endgroup$
    – Shubham Johri
    Jan 3 at 15:42






    $begingroup$
    Alternatively, it is pretty easy to observe that $V$ is the plane with the equation $x-3y+z=0$, and any vector in $V^perp$ will be parallel to the normal to the plane whose direction ratios are given by the coefficients of $x,y,z$ in the equation of the plane.
    $endgroup$
    – Shubham Johri
    Jan 3 at 15:42













    2












    $begingroup$

    No, it's wrong. If you have an orthogonal basis $mathcal{B} = {v_1,cdots, v_n}$ of $V$, then for each $v_i$, it is perpendicular to other $v_j$'s but not to itself. So $v_inotin V^perp$ for all $i$. By the way, you can find an orthonormal basis of $V^perp$ easily from the definition of $V$ as
    $$
    V = {(1,-3,1)}^perp.
    $$
    (It's just ${frac{1}{sqrt{11}}(1,-3,1)'}$.)






    share|cite|improve this answer









    $endgroup$


















      2












      $begingroup$

      No, it's wrong. If you have an orthogonal basis $mathcal{B} = {v_1,cdots, v_n}$ of $V$, then for each $v_i$, it is perpendicular to other $v_j$'s but not to itself. So $v_inotin V^perp$ for all $i$. By the way, you can find an orthonormal basis of $V^perp$ easily from the definition of $V$ as
      $$
      V = {(1,-3,1)}^perp.
      $$
      (It's just ${frac{1}{sqrt{11}}(1,-3,1)'}$.)






      share|cite|improve this answer









      $endgroup$
















        2












        2








        2





        $begingroup$

        No, it's wrong. If you have an orthogonal basis $mathcal{B} = {v_1,cdots, v_n}$ of $V$, then for each $v_i$, it is perpendicular to other $v_j$'s but not to itself. So $v_inotin V^perp$ for all $i$. By the way, you can find an orthonormal basis of $V^perp$ easily from the definition of $V$ as
        $$
        V = {(1,-3,1)}^perp.
        $$
        (It's just ${frac{1}{sqrt{11}}(1,-3,1)'}$.)






        share|cite|improve this answer









        $endgroup$



        No, it's wrong. If you have an orthogonal basis $mathcal{B} = {v_1,cdots, v_n}$ of $V$, then for each $v_i$, it is perpendicular to other $v_j$'s but not to itself. So $v_inotin V^perp$ for all $i$. By the way, you can find an orthonormal basis of $V^perp$ easily from the definition of $V$ as
        $$
        V = {(1,-3,1)}^perp.
        $$
        (It's just ${frac{1}{sqrt{11}}(1,-3,1)'}$.)







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Jan 3 at 12:10









        SongSong

        11.1k628




        11.1k628






























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            File:DeusFollowingSea.jpg