Changing of Basis (Vector)

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  1. james303's Avatar
    • Respected Member
    • Posts: 223
    Changing of Basis (Vector)
    I've got the the following basis

    <1,-4,0,-1,-2,0> ; <0,-1,1,0,-1,0> ; <0,-2,0,-1,-1,1>


    and I've got to show that they are similar to:

    <1,-2,-2,-1,0,0> ; <0,1,-1,0,1,0> ; <0,1,1,1,0,-1>




    I can see that on the first row the 2nd basis can be multiplied by (-1) and that would produce the one on the second row, but I'm not how to work out the other 2

    I would really appreciate help with this
  2. little_wizard123's Avatar
    • TSR Demigod
    • Location: Brizzle
    • Posts: 5,169
    Re: Changing of Basis (Vector)
    Tbh I can't remember much about linear algebra, so I'm assuming it just uses row operations:

    1,-4,0,-1,-2,0
    0,-1,1,0,-1,0
    0,-2,0,-1,-1,1

    Take the third row from the second row to give you the final third row. The second row is multiplied by -1. The first row comes from the original first row minus 2x the original second row.
  3. WarriorInAWig's Avatar
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    • Location: Wigan
    • Posts: 407
    Re: Changing of Basis (Vector)
    You have 6 vectors. Call the first three A, B, C and the last three D, E, F. Then you want to show that A=TD, B=TE, C=TF for T which is some invertible matrix. Off you go!
  4. nuodai's Avatar
    • PS Helper
    • TSR Legend
    Re: Changing of Basis (Vector)
    (Original post by james303)
    I've got the the following basis

    <1,-4,0,-1,-2,0> ; <0,-1,1,0,-1,0> ; <0,-2,0,-1,-1,1>


    and I've got to show that they are similar to:

    <1,-2,-2,-1,0,0> ; <0,1,-1,0,1,0> ; <0,1,1,1,0,-1>




    I can see that on the first row the 2nd basis can be multiplied by (-1) and that would produce the one on the second row, but I'm not how to work out the other 2

    I would really appreciate help with this
    Call your old basis e_1,e_2,e_3 and your new basis e'_1,e'_2,e'_3. You can more or less express the new basis in terms of the old one by inspection. As you observed, e'_2=-e_2. It's also fairly easy to see that e'_1=e_1-e_2. Since these both only involve e_1,e_2, you know that your expression for e'_3 has to involve e_3, and you can see that the last component of e_1,e_2 is 0 so for it to match up you must have e'_3=-e_3+(\text{stuff}). Then (\text{stuff})=e'_3+e_3 and so on. It comes out pretty quickly.

    The coefficients of the new basis in terms of the old then gives you the columns of a 3x3 matrix; but you need a 6x6 matrix. Since these bases span a 3-dimensional subspace of a 6-dimensional space, you can add three vectors (e.g. standard basis vectors, to make your life easier) to extend to a basis for \mathbb{R}^6. These can be the same for both the old and new bases (since the two bases you have span the same subspace), and so this will only affect your change-of-basis matrix by adding some 1s on the diagonal to extend the 3x3 matrix to a 6x6 matrix.
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