Finding an orthonormal basis of the subspace

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Find an orthonormal basis of the subspace:
$$V = [x, y, z, w]^T:x+y+z+w=0$$ of $mathbbR^4$




First I found a $4times4$ determinant to verify whether they are non-singular or not.
$$beginvmatrix 1 & 1 & 1 & 1 \ 0 & 1 & 0 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 1 endvmatrix=1ne0$$



Then to orthogonalize the basis I applied Gram-Schmidt process,
$$v_1=x_1=(1,1,1,1)$$



Is my basis $(1,1,1,1)$ correct?







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  • 1




    "Is my basis $(1,1,1,1)$ correct?" As a basis for the space $V$, the set of vectors from $Bbb R^4$ such that the sum of the entries is equal to zero? No. $(1,1,1,1)$ does not have sum of entries equal to zero, it has sum of entries equal to four and so is not even an element of the space, much less a basis for it.
    – JMoravitz
    Jul 20 at 18:04











  • @JMoravitz I followed Problem $3$ HERE
    – philip
    Jul 20 at 18:06










  • @JMoravitz: It's actually possible, in rare cases, to use as bases, vectors, none of which are in the subspace. I don't think that's happening here - you probably have to have infinite dimensions to make it work. In any case, another reason $(1,1,1,1)$ cannot be a basis is that the dimension of $V$ is $3$, and you only have one vector.
    – Adrian Keister
    Jul 20 at 18:06










  • @philip Problem $3$ is computing a basis of the orthogonal complement, $V^bot$, of $V$. Is that what you want? If that is what is really wanted, then your answer is correct.
    – user577471
    Jul 20 at 18:07







  • 1




    You should first focus on finding a basis for the space you are actually being asked about. Ignore Gram-Schmidt for now. Finding a basis for the space itself ignoring orthonormality should have been covered in the previous chapter or the one before even that. The condition $x+y+z+w=0$, if you let $y,z,w$ be free variables equal to $r,s,t$ respectively becomes $begincases x=-r-s-t\y=r\z=s\w=tendcases$, can you continue from there?
    – JMoravitz
    Jul 20 at 18:12














up vote
0
down vote

favorite













Find an orthonormal basis of the subspace:
$$V = [x, y, z, w]^T:x+y+z+w=0$$ of $mathbbR^4$




First I found a $4times4$ determinant to verify whether they are non-singular or not.
$$beginvmatrix 1 & 1 & 1 & 1 \ 0 & 1 & 0 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 1 endvmatrix=1ne0$$



Then to orthogonalize the basis I applied Gram-Schmidt process,
$$v_1=x_1=(1,1,1,1)$$



Is my basis $(1,1,1,1)$ correct?







share|cite|improve this question















  • 1




    "Is my basis $(1,1,1,1)$ correct?" As a basis for the space $V$, the set of vectors from $Bbb R^4$ such that the sum of the entries is equal to zero? No. $(1,1,1,1)$ does not have sum of entries equal to zero, it has sum of entries equal to four and so is not even an element of the space, much less a basis for it.
    – JMoravitz
    Jul 20 at 18:04











  • @JMoravitz I followed Problem $3$ HERE
    – philip
    Jul 20 at 18:06










  • @JMoravitz: It's actually possible, in rare cases, to use as bases, vectors, none of which are in the subspace. I don't think that's happening here - you probably have to have infinite dimensions to make it work. In any case, another reason $(1,1,1,1)$ cannot be a basis is that the dimension of $V$ is $3$, and you only have one vector.
    – Adrian Keister
    Jul 20 at 18:06










  • @philip Problem $3$ is computing a basis of the orthogonal complement, $V^bot$, of $V$. Is that what you want? If that is what is really wanted, then your answer is correct.
    – user577471
    Jul 20 at 18:07







  • 1




    You should first focus on finding a basis for the space you are actually being asked about. Ignore Gram-Schmidt for now. Finding a basis for the space itself ignoring orthonormality should have been covered in the previous chapter or the one before even that. The condition $x+y+z+w=0$, if you let $y,z,w$ be free variables equal to $r,s,t$ respectively becomes $begincases x=-r-s-t\y=r\z=s\w=tendcases$, can you continue from there?
    – JMoravitz
    Jul 20 at 18:12












up vote
0
down vote

favorite









up vote
0
down vote

favorite












Find an orthonormal basis of the subspace:
$$V = [x, y, z, w]^T:x+y+z+w=0$$ of $mathbbR^4$




First I found a $4times4$ determinant to verify whether they are non-singular or not.
$$beginvmatrix 1 & 1 & 1 & 1 \ 0 & 1 & 0 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 1 endvmatrix=1ne0$$



Then to orthogonalize the basis I applied Gram-Schmidt process,
$$v_1=x_1=(1,1,1,1)$$



Is my basis $(1,1,1,1)$ correct?







share|cite|improve this question












Find an orthonormal basis of the subspace:
$$V = [x, y, z, w]^T:x+y+z+w=0$$ of $mathbbR^4$




First I found a $4times4$ determinant to verify whether they are non-singular or not.
$$beginvmatrix 1 & 1 & 1 & 1 \ 0 & 1 & 0 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 1 endvmatrix=1ne0$$



Then to orthogonalize the basis I applied Gram-Schmidt process,
$$v_1=x_1=(1,1,1,1)$$



Is my basis $(1,1,1,1)$ correct?









share|cite|improve this question










share|cite|improve this question




share|cite|improve this question









asked Jul 20 at 18:01









philip

1228




1228







  • 1




    "Is my basis $(1,1,1,1)$ correct?" As a basis for the space $V$, the set of vectors from $Bbb R^4$ such that the sum of the entries is equal to zero? No. $(1,1,1,1)$ does not have sum of entries equal to zero, it has sum of entries equal to four and so is not even an element of the space, much less a basis for it.
    – JMoravitz
    Jul 20 at 18:04











  • @JMoravitz I followed Problem $3$ HERE
    – philip
    Jul 20 at 18:06










  • @JMoravitz: It's actually possible, in rare cases, to use as bases, vectors, none of which are in the subspace. I don't think that's happening here - you probably have to have infinite dimensions to make it work. In any case, another reason $(1,1,1,1)$ cannot be a basis is that the dimension of $V$ is $3$, and you only have one vector.
    – Adrian Keister
    Jul 20 at 18:06










  • @philip Problem $3$ is computing a basis of the orthogonal complement, $V^bot$, of $V$. Is that what you want? If that is what is really wanted, then your answer is correct.
    – user577471
    Jul 20 at 18:07







  • 1




    You should first focus on finding a basis for the space you are actually being asked about. Ignore Gram-Schmidt for now. Finding a basis for the space itself ignoring orthonormality should have been covered in the previous chapter or the one before even that. The condition $x+y+z+w=0$, if you let $y,z,w$ be free variables equal to $r,s,t$ respectively becomes $begincases x=-r-s-t\y=r\z=s\w=tendcases$, can you continue from there?
    – JMoravitz
    Jul 20 at 18:12












  • 1




    "Is my basis $(1,1,1,1)$ correct?" As a basis for the space $V$, the set of vectors from $Bbb R^4$ such that the sum of the entries is equal to zero? No. $(1,1,1,1)$ does not have sum of entries equal to zero, it has sum of entries equal to four and so is not even an element of the space, much less a basis for it.
    – JMoravitz
    Jul 20 at 18:04











  • @JMoravitz I followed Problem $3$ HERE
    – philip
    Jul 20 at 18:06










  • @JMoravitz: It's actually possible, in rare cases, to use as bases, vectors, none of which are in the subspace. I don't think that's happening here - you probably have to have infinite dimensions to make it work. In any case, another reason $(1,1,1,1)$ cannot be a basis is that the dimension of $V$ is $3$, and you only have one vector.
    – Adrian Keister
    Jul 20 at 18:06










  • @philip Problem $3$ is computing a basis of the orthogonal complement, $V^bot$, of $V$. Is that what you want? If that is what is really wanted, then your answer is correct.
    – user577471
    Jul 20 at 18:07







  • 1




    You should first focus on finding a basis for the space you are actually being asked about. Ignore Gram-Schmidt for now. Finding a basis for the space itself ignoring orthonormality should have been covered in the previous chapter or the one before even that. The condition $x+y+z+w=0$, if you let $y,z,w$ be free variables equal to $r,s,t$ respectively becomes $begincases x=-r-s-t\y=r\z=s\w=tendcases$, can you continue from there?
    – JMoravitz
    Jul 20 at 18:12







1




1




"Is my basis $(1,1,1,1)$ correct?" As a basis for the space $V$, the set of vectors from $Bbb R^4$ such that the sum of the entries is equal to zero? No. $(1,1,1,1)$ does not have sum of entries equal to zero, it has sum of entries equal to four and so is not even an element of the space, much less a basis for it.
– JMoravitz
Jul 20 at 18:04





"Is my basis $(1,1,1,1)$ correct?" As a basis for the space $V$, the set of vectors from $Bbb R^4$ such that the sum of the entries is equal to zero? No. $(1,1,1,1)$ does not have sum of entries equal to zero, it has sum of entries equal to four and so is not even an element of the space, much less a basis for it.
– JMoravitz
Jul 20 at 18:04













@JMoravitz I followed Problem $3$ HERE
– philip
Jul 20 at 18:06




@JMoravitz I followed Problem $3$ HERE
– philip
Jul 20 at 18:06












@JMoravitz: It's actually possible, in rare cases, to use as bases, vectors, none of which are in the subspace. I don't think that's happening here - you probably have to have infinite dimensions to make it work. In any case, another reason $(1,1,1,1)$ cannot be a basis is that the dimension of $V$ is $3$, and you only have one vector.
– Adrian Keister
Jul 20 at 18:06




@JMoravitz: It's actually possible, in rare cases, to use as bases, vectors, none of which are in the subspace. I don't think that's happening here - you probably have to have infinite dimensions to make it work. In any case, another reason $(1,1,1,1)$ cannot be a basis is that the dimension of $V$ is $3$, and you only have one vector.
– Adrian Keister
Jul 20 at 18:06












@philip Problem $3$ is computing a basis of the orthogonal complement, $V^bot$, of $V$. Is that what you want? If that is what is really wanted, then your answer is correct.
– user577471
Jul 20 at 18:07





@philip Problem $3$ is computing a basis of the orthogonal complement, $V^bot$, of $V$. Is that what you want? If that is what is really wanted, then your answer is correct.
– user577471
Jul 20 at 18:07





1




1




You should first focus on finding a basis for the space you are actually being asked about. Ignore Gram-Schmidt for now. Finding a basis for the space itself ignoring orthonormality should have been covered in the previous chapter or the one before even that. The condition $x+y+z+w=0$, if you let $y,z,w$ be free variables equal to $r,s,t$ respectively becomes $begincases x=-r-s-t\y=r\z=s\w=tendcases$, can you continue from there?
– JMoravitz
Jul 20 at 18:12




You should first focus on finding a basis for the space you are actually being asked about. Ignore Gram-Schmidt for now. Finding a basis for the space itself ignoring orthonormality should have been covered in the previous chapter or the one before even that. The condition $x+y+z+w=0$, if you let $y,z,w$ be free variables equal to $r,s,t$ respectively becomes $begincases x=-r-s-t\y=r\z=s\w=tendcases$, can you continue from there?
– JMoravitz
Jul 20 at 18:12










3 Answers
3






active

oldest

votes

















up vote
2
down vote



accepted










Your proposed basis vector is not in your subspace $$x+y+z+w=0$$ because $$1+1+1+1=4 ne 0$$



you need to find some linearly independent vectors in the subspace to form a basis and then apply Gram-Schmidt method to find an orthonormal basis.



For example $$(1,-1,0,0), (0,1,-1,0), (0,0,1,-1)$$ are linearly independent vectors in your subspace.



Can you apply Gram-Schmidt to that set to find an orthonormal basis?






share|cite|improve this answer





















  • Can I have different basis from what you have?
    – philip
    Jul 20 at 18:20






  • 1




    @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
    – JMoravitz
    Jul 20 at 18:23










  • @JMoravitz Thank you very much! Now I clearly understood.
    – philip
    Jul 20 at 18:24

















up vote
0
down vote













How about:



$$beginbmatrix1 \ -1 \ 0 \ 0endbmatrix,beginbmatrix1 \ 0 \ -1 \ 0endbmatrix,beginbmatrix1 \ 0 \ 0 \ -1endbmatrix$$






share|cite|improve this answer





















  • That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
    – JMoravitz
    Jul 20 at 18:14










  • I still did not understand how you got those basis. Can you please explain.
    – philip
    Jul 20 at 18:16






  • 1




    @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
    – JMoravitz
    Jul 20 at 18:22

















up vote
0
down vote













Note that ($1,1,1,1)$ is not a basis vector and that we need



  • to find a basis for the subspace (the dimension is three then we need 3 basis vectors),


  • apply GS process and finally normalize them.


Note that we can easily find by inspection



  • $v_1=(1,0,-1,0)$

  • $v_2=(0,1,0,-1)$

which are independent and orthogonal, then we need only a third vector to complete a basis. What about $v_3=(0,1,-1,0)$?



From here we need only to apply GS process to vector $v_3$ since $v_1$ and $v_3$ are given for free.






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    3 Answers
    3






    active

    oldest

    votes








    3 Answers
    3






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    2
    down vote



    accepted










    Your proposed basis vector is not in your subspace $$x+y+z+w=0$$ because $$1+1+1+1=4 ne 0$$



    you need to find some linearly independent vectors in the subspace to form a basis and then apply Gram-Schmidt method to find an orthonormal basis.



    For example $$(1,-1,0,0), (0,1,-1,0), (0,0,1,-1)$$ are linearly independent vectors in your subspace.



    Can you apply Gram-Schmidt to that set to find an orthonormal basis?






    share|cite|improve this answer





















    • Can I have different basis from what you have?
      – philip
      Jul 20 at 18:20






    • 1




      @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
      – JMoravitz
      Jul 20 at 18:23










    • @JMoravitz Thank you very much! Now I clearly understood.
      – philip
      Jul 20 at 18:24














    up vote
    2
    down vote



    accepted










    Your proposed basis vector is not in your subspace $$x+y+z+w=0$$ because $$1+1+1+1=4 ne 0$$



    you need to find some linearly independent vectors in the subspace to form a basis and then apply Gram-Schmidt method to find an orthonormal basis.



    For example $$(1,-1,0,0), (0,1,-1,0), (0,0,1,-1)$$ are linearly independent vectors in your subspace.



    Can you apply Gram-Schmidt to that set to find an orthonormal basis?






    share|cite|improve this answer





















    • Can I have different basis from what you have?
      – philip
      Jul 20 at 18:20






    • 1




      @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
      – JMoravitz
      Jul 20 at 18:23










    • @JMoravitz Thank you very much! Now I clearly understood.
      – philip
      Jul 20 at 18:24












    up vote
    2
    down vote



    accepted







    up vote
    2
    down vote



    accepted






    Your proposed basis vector is not in your subspace $$x+y+z+w=0$$ because $$1+1+1+1=4 ne 0$$



    you need to find some linearly independent vectors in the subspace to form a basis and then apply Gram-Schmidt method to find an orthonormal basis.



    For example $$(1,-1,0,0), (0,1,-1,0), (0,0,1,-1)$$ are linearly independent vectors in your subspace.



    Can you apply Gram-Schmidt to that set to find an orthonormal basis?






    share|cite|improve this answer













    Your proposed basis vector is not in your subspace $$x+y+z+w=0$$ because $$1+1+1+1=4 ne 0$$



    you need to find some linearly independent vectors in the subspace to form a basis and then apply Gram-Schmidt method to find an orthonormal basis.



    For example $$(1,-1,0,0), (0,1,-1,0), (0,0,1,-1)$$ are linearly independent vectors in your subspace.



    Can you apply Gram-Schmidt to that set to find an orthonormal basis?







    share|cite|improve this answer













    share|cite|improve this answer



    share|cite|improve this answer











    answered Jul 20 at 18:18









    Mohammad Riazi-Kermani

    27.5k41852




    27.5k41852











    • Can I have different basis from what you have?
      – philip
      Jul 20 at 18:20






    • 1




      @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
      – JMoravitz
      Jul 20 at 18:23










    • @JMoravitz Thank you very much! Now I clearly understood.
      – philip
      Jul 20 at 18:24
















    • Can I have different basis from what you have?
      – philip
      Jul 20 at 18:20






    • 1




      @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
      – JMoravitz
      Jul 20 at 18:23










    • @JMoravitz Thank you very much! Now I clearly understood.
      – philip
      Jul 20 at 18:24















    Can I have different basis from what you have?
    – philip
    Jul 20 at 18:20




    Can I have different basis from what you have?
    – philip
    Jul 20 at 18:20




    1




    1




    @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
    – JMoravitz
    Jul 20 at 18:23




    @philip of course. Any vector space over an infinite field that is not zero dimensional has infinitely many valid bases for it.
    – JMoravitz
    Jul 20 at 18:23












    @JMoravitz Thank you very much! Now I clearly understood.
    – philip
    Jul 20 at 18:24




    @JMoravitz Thank you very much! Now I clearly understood.
    – philip
    Jul 20 at 18:24










    up vote
    0
    down vote













    How about:



    $$beginbmatrix1 \ -1 \ 0 \ 0endbmatrix,beginbmatrix1 \ 0 \ -1 \ 0endbmatrix,beginbmatrix1 \ 0 \ 0 \ -1endbmatrix$$






    share|cite|improve this answer





















    • That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
      – JMoravitz
      Jul 20 at 18:14










    • I still did not understand how you got those basis. Can you please explain.
      – philip
      Jul 20 at 18:16






    • 1




      @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
      – JMoravitz
      Jul 20 at 18:22














    up vote
    0
    down vote













    How about:



    $$beginbmatrix1 \ -1 \ 0 \ 0endbmatrix,beginbmatrix1 \ 0 \ -1 \ 0endbmatrix,beginbmatrix1 \ 0 \ 0 \ -1endbmatrix$$






    share|cite|improve this answer





















    • That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
      – JMoravitz
      Jul 20 at 18:14










    • I still did not understand how you got those basis. Can you please explain.
      – philip
      Jul 20 at 18:16






    • 1




      @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
      – JMoravitz
      Jul 20 at 18:22












    up vote
    0
    down vote










    up vote
    0
    down vote









    How about:



    $$beginbmatrix1 \ -1 \ 0 \ 0endbmatrix,beginbmatrix1 \ 0 \ -1 \ 0endbmatrix,beginbmatrix1 \ 0 \ 0 \ -1endbmatrix$$






    share|cite|improve this answer













    How about:



    $$beginbmatrix1 \ -1 \ 0 \ 0endbmatrix,beginbmatrix1 \ 0 \ -1 \ 0endbmatrix,beginbmatrix1 \ 0 \ 0 \ -1endbmatrix$$







    share|cite|improve this answer













    share|cite|improve this answer



    share|cite|improve this answer











    answered Jul 20 at 18:10









    InterstellarProbe

    2,207518




    2,207518











    • That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
      – JMoravitz
      Jul 20 at 18:14










    • I still did not understand how you got those basis. Can you please explain.
      – philip
      Jul 20 at 18:16






    • 1




      @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
      – JMoravitz
      Jul 20 at 18:22
















    • That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
      – JMoravitz
      Jul 20 at 18:14










    • I still did not understand how you got those basis. Can you please explain.
      – philip
      Jul 20 at 18:16






    • 1




      @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
      – JMoravitz
      Jul 20 at 18:22















    That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
    – JMoravitz
    Jul 20 at 18:14




    That is a fine basis for the space, however it fails to be an orthogonal basis as well as it fails to be a normal basis. Still, this is an important first step for the OP to understand. Now that a basis has been found, what remains to be done is to orthonormalize the basis via Gram-Schmidt.
    – JMoravitz
    Jul 20 at 18:14












    I still did not understand how you got those basis. Can you please explain.
    – philip
    Jul 20 at 18:16




    I still did not understand how you got those basis. Can you please explain.
    – philip
    Jul 20 at 18:16




    1




    1




    @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
    – JMoravitz
    Jul 20 at 18:22




    @philip from setting $y,z,w$ as free variables equal to $r,s,t$ respectively, we get $begincasesx=-r-s-t\y=r\z=~~s\w=~~~~tendcases$. Rewritten with vectors: $beginbmatrixx\y\z\wendbmatrix=-rbeginbmatrix1\-1\0\0endbmatrix-sbeginbmatrix1\0\-1\0endbmatrix-tbeginbmatrix1\0\0\-1endbmatrix$
    – JMoravitz
    Jul 20 at 18:22










    up vote
    0
    down vote













    Note that ($1,1,1,1)$ is not a basis vector and that we need



    • to find a basis for the subspace (the dimension is three then we need 3 basis vectors),


    • apply GS process and finally normalize them.


    Note that we can easily find by inspection



    • $v_1=(1,0,-1,0)$

    • $v_2=(0,1,0,-1)$

    which are independent and orthogonal, then we need only a third vector to complete a basis. What about $v_3=(0,1,-1,0)$?



    From here we need only to apply GS process to vector $v_3$ since $v_1$ and $v_3$ are given for free.






    share|cite|improve this answer



























      up vote
      0
      down vote













      Note that ($1,1,1,1)$ is not a basis vector and that we need



      • to find a basis for the subspace (the dimension is three then we need 3 basis vectors),


      • apply GS process and finally normalize them.


      Note that we can easily find by inspection



      • $v_1=(1,0,-1,0)$

      • $v_2=(0,1,0,-1)$

      which are independent and orthogonal, then we need only a third vector to complete a basis. What about $v_3=(0,1,-1,0)$?



      From here we need only to apply GS process to vector $v_3$ since $v_1$ and $v_3$ are given for free.






      share|cite|improve this answer

























        up vote
        0
        down vote










        up vote
        0
        down vote









        Note that ($1,1,1,1)$ is not a basis vector and that we need



        • to find a basis for the subspace (the dimension is three then we need 3 basis vectors),


        • apply GS process and finally normalize them.


        Note that we can easily find by inspection



        • $v_1=(1,0,-1,0)$

        • $v_2=(0,1,0,-1)$

        which are independent and orthogonal, then we need only a third vector to complete a basis. What about $v_3=(0,1,-1,0)$?



        From here we need only to apply GS process to vector $v_3$ since $v_1$ and $v_3$ are given for free.






        share|cite|improve this answer















        Note that ($1,1,1,1)$ is not a basis vector and that we need



        • to find a basis for the subspace (the dimension is three then we need 3 basis vectors),


        • apply GS process and finally normalize them.


        Note that we can easily find by inspection



        • $v_1=(1,0,-1,0)$

        • $v_2=(0,1,0,-1)$

        which are independent and orthogonal, then we need only a third vector to complete a basis. What about $v_3=(0,1,-1,0)$?



        From here we need only to apply GS process to vector $v_3$ since $v_1$ and $v_3$ are given for free.







        share|cite|improve this answer















        share|cite|improve this answer



        share|cite|improve this answer








        edited Jul 20 at 18:48


























        answered Jul 20 at 18:07









        gimusi

        65.4k73584




        65.4k73584






















             

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