For each value of $t$, find an orthogonal basis of the span of the vectors:











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$u_1 = (1,t,t)$, $u_2 = (2t,t+1,2t-1)$, $u_3 = (2-2t,t-1,1)$



Any help would be appreciated, if you could explain how to work such questions out










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    Are you familiar with the Gram-Schmidt algorithm?
    – Juan Diego Rojas
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$u_1 = (1,t,t)$, $u_2 = (2t,t+1,2t-1)$, $u_3 = (2-2t,t-1,1)$



Any help would be appreciated, if you could explain how to work such questions out










share|cite|improve this question









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ankit vijay is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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  • 2




    Are you familiar with the Gram-Schmidt algorithm?
    – Juan Diego Rojas
    Nov 17 at 16:12













up vote
0
down vote

favorite









up vote
0
down vote

favorite











$u_1 = (1,t,t)$, $u_2 = (2t,t+1,2t-1)$, $u_3 = (2-2t,t-1,1)$



Any help would be appreciated, if you could explain how to work such questions out










share|cite|improve this question









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$u_1 = (1,t,t)$, $u_2 = (2t,t+1,2t-1)$, $u_3 = (2-2t,t-1,1)$



Any help would be appreciated, if you could explain how to work such questions out







linear-algebra vector-spaces orthogonality orthonormal change-of-basis






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edited Nov 17 at 16:19









krirkrirk

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1,462518






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asked Nov 17 at 16:09









ankit vijay

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ankit vijay is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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  • 2




    Are you familiar with the Gram-Schmidt algorithm?
    – Juan Diego Rojas
    Nov 17 at 16:12














  • 2




    Are you familiar with the Gram-Schmidt algorithm?
    – Juan Diego Rojas
    Nov 17 at 16:12








2




2




Are you familiar with the Gram-Schmidt algorithm?
– Juan Diego Rojas
Nov 17 at 16:12




Are you familiar with the Gram-Schmidt algorithm?
– Juan Diego Rojas
Nov 17 at 16:12










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Step 1, check if the vectors are independent. In the general case, compute the determinant of the matrix form by the components of your vectors. In this case, just add together $u_2$ and $u_3$, then notice that it's proportional to $u_1$. So you need only two vectors in this case.



Step 2, follow the Gram-Schmidt process






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    Step 1, check if the vectors are independent. In the general case, compute the determinant of the matrix form by the components of your vectors. In this case, just add together $u_2$ and $u_3$, then notice that it's proportional to $u_1$. So you need only two vectors in this case.



    Step 2, follow the Gram-Schmidt process






    share|cite|improve this answer

























      up vote
      0
      down vote













      Step 1, check if the vectors are independent. In the general case, compute the determinant of the matrix form by the components of your vectors. In this case, just add together $u_2$ and $u_3$, then notice that it's proportional to $u_1$. So you need only two vectors in this case.



      Step 2, follow the Gram-Schmidt process






      share|cite|improve this answer























        up vote
        0
        down vote










        up vote
        0
        down vote









        Step 1, check if the vectors are independent. In the general case, compute the determinant of the matrix form by the components of your vectors. In this case, just add together $u_2$ and $u_3$, then notice that it's proportional to $u_1$. So you need only two vectors in this case.



        Step 2, follow the Gram-Schmidt process






        share|cite|improve this answer












        Step 1, check if the vectors are independent. In the general case, compute the determinant of the matrix form by the components of your vectors. In this case, just add together $u_2$ and $u_3$, then notice that it's proportional to $u_1$. So you need only two vectors in this case.



        Step 2, follow the Gram-Schmidt process







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        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 17 at 16:28









        Andrei

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