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muckymotter

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Posts posted by muckymotter

  1. If anyone could explain how the following is done, it would be greatly appreciated!

     

    Consider the set L of all linear transformations. Let L_1: V -> W and L_2: V -> W be linear transformations. Define a vector addition on linear transformations as (L_1 + L_2): V -> W, where (L_1 + L_2)(v) = L_1(v) + L_2(v). Define also a scalar multiplication on linear transformations as (c * L_1): V -> W, where (c * L_1)(v) = cL_1(v). Using these operations, we may consider L a vector space.

     

    Here is the question:

    Show that for every L_1 ε L, there exists some L_2 ε L such that L_1 + L_2 + 0_L.

  2. Consider the quadrilateral (namely Q) in R^3 formed by the points

    (1, 0, 0), (2, 0, 0), (1, 1, 3), and (2, 1, 3).

     

    (a) What should the coordinates be for the figure R we get by rotating Q counterclockwise in the x-y plane by 45 degrees, then dilating it by a factor of 3/2, then translating it along the vector (-2, 1, -1)?

     

     

    Okay, so what I did was I used the matrix

     

    cos45 -sin45 0

    sin45 cos45 0

    0 0 1

     

     

    After this, multiplied the identity matrix for R^3 by 3/2 and then multiplied it by the matrix with 45 substituted for theta.

     

    Then T(x,y,z)=(-2+3sqrt(2)x/4-3sqrt(2)y/4,1+3sqrt(2)x/4+3sqrt(2)y/4,-1+3z/2)

     

    I substituted each of the quadrilateral points in for T(x, y, z) to come up with the four points and got:

     

     

    (3/(2sqrt2) - 2, 3/(2sqrt2) + 1, -1),

    (3/sqrt2 - 2, 3/sqrt2 + 1, -1),

    (-2, 3/sqrt2 + 1, 3.5),

    (3/(2sqrt2) - 2, 9/(2sqrt2) + 1, 3.5)

     

    But my trouble lies in doing (b) so if anyone could explain how it is done, I would be really grateful as I have been stuck on this for days!:

    (b) What matrix transforms Q into R?

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