Directions:

  1. Write your name with one character in each box below.
  2. Show all work. No credit for answers without work.
  3. You are permitted to use one 8.5 inch by 11 inch sheet of prepared notes. No other aides are allowed.

 

  1. [15 points] Determine whether the following vectors are linearly independent. If the vectors are linearly dependent, give a dependence relation.

    [ 1 − 1 2 3 ], [ 7 − 9 − 6 9 ], [ − 3 0 5 − 1 ], [ 0 4 − 1 − 2 ]
  2. [10 points] Characterize when the following vectors are linearly dependent in terms of simple conditions on h and k.

    [ 2 0 0 0 0 ], [ 4 6 h 0 0 ], [ 3 k −h 0 0 ], [ 1 5 1 k 0 ]

     

  3. Transformations from ℝ2 to ℝ2.

    1. [9 points] Let T1 be the transform given by [ x1 x2 ] ↦ [ 0 x2 + 1 ]. Is T1 one-to-one/injective? Is T1 onto/surjective? Is T1 linear? Explain.
    2. [6 points] Let T2 be the transform given by [ x1 x2 ] ↦ [ x1 + x2 x2 ] and let T3 be the transformation that rotates points by π∕6 radians. Find the standard matrix for the composition transformation T2 ∘T3 given by 𝐱↦T2(T3(𝐱)).
  4. Let T : ℝn → ℝm be a linear transform, and let A be the standard matrix for T.

    1. [2 points] How many rows does A have? How many columns?
    2. [8 points] By analyzing the pivot positions of A, prove that if n > m then T is not one-to-one/injective.

     

  5. [20 points] Find the inverse of the following matrix.

    [ − 8 1 − 9 3 0 4 1 0 1 ]
  6. [10 points] Find elementary matrices E1,E2,E3 such that E3E2E1A = B.

    A = [ 1 2 7 1 2 8 ] B = [ 1 2 0 2 4 1 ]

     

  7. [10 parts, 2 points each] True/False. Assume the matrix operations below are well-defined. Justify your answers.

    1. Every elementary matrix is square.
    2. (A + B)C = 𝐴𝐶 + 𝐵𝐶
    3. (A + B)(A + B) = A2 + 2𝐴𝐵 + B2
    4. If 𝐴𝐵 = 𝐵𝐴, then A and B are inverses of one another.
    5. If A and B are invertible (n ×n)-matrices, then A and B are row-equivalent.
    6. If A and B are invertible (n ×n)-matrices, then A + B is also invertible.
    7. If A and B are invertible (n ×n)-matrices, then 𝐴𝐵 is also invertible.
    8. An (n ×n)-matrix A is invertible if and only if its transpose AT is invertible.
    9. If S and T are linear transforms from ℝn to ℝn and S and T are equal on at least n points in ℝn, then S = T.
    10. If T is a linear transform and {𝐯1,…,𝐯k} is linearly independent, then {T(𝐯1),…,T(𝐯k)} is also linearly independent.