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The december 2005 final examination for the university of british columbia's mathematics 221: matrix algebra course. The examination covers topics such as solving systems of linear equations, transformations in r2, subspaces of r3, and voting patterns on mars. Students are required to provide calculations and justifications for their answers.
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The University of British Columbia Final Examinations - December 2005 Mathematics 221: Matrix Algebra
8 A.M. Section 101 - Dale Peterson 1 P.M. Section 103 - Dale Peterson 10 A.M. Section 102 - John Fournier
Closed book examination. Time: 2.5 hours = 150 minutes.
Special Instructions: No aids allowed. Write your answers in the answer booklet(s). If you use more than one booklet, put your name and the number of booklets used on each booklet. Show enough of your work to justify your answers.
x + y + 2 z = 0 x + 2 y + z = q 2 x + (2 + q)y + 3 z = 1 ,
where the constant q is not specified. For what values of q does this system have: (i) No solution? (ii) Exactly one solution? (iii) Exactly two solutions? (iv) More than two solutions? Remember to provide some calculations and/or other reasons to support your answers.
~v 1 =
(^) , ~v 2 =
(^) , ~v 3 =
Do the following three things in some order, and then answer the fourth part. (a) Find a basis for W and find the dimension of W.
(b) Determine whether the vector ~v =
(^) belongs to W.
(c) Find a basis for W ⊥, the subspace of all vectors in R^3 that are orthogonal to all vectors in W. (d) Does combining your basis in part (a) and the basis in part (c) give a basis for R^3? Explain briefly.
Mathematics 221 December 2005
~vk+1 =
xk+ yk+ zk+
3 xk + 2yk + zk 2 xk + 2yk + 2zk xk + 2yk + 3zk
(a) Find ~v 5 given that ~v 3 =
(^) in Martian units.
(b) Is there any nontrivial arrangement of votes that would stay the same from one election to the next? If so, find such an arrangement. If not, say why there is no such arrangement. (c) Suppose that ~v 2 is given, but ~v 1 is not given. Is there only one possible choice of ~v 1 that leads to the next result ~v 2? Why or why not?
(a) Verify that
(^) is an eigenvector of A.
(b) Verify that 0 is an eigenvalue of A, by finding a corresponding eigenvector. (c) Find an orthogonal set of eigenvectors of A that form a basis for R^3.
and
with
eigenvalues 3 and −1 respectively. Let ~v =
, and find C^99 (C − 3 I)~v.
The End