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Math 3330 Practice Final Exam
1. Consider the system of linear equations
x + 2y − w = 2
2x + 3y − z + w = 4
− y − z + 3w = 0
Use Gaussian elimination to find all solutions (if any), keeping track of your
elementary
row operations . Indicate pivot and non pivot variables . Express your
answer in parametric form and give the translation and spanning vectors.
2. In the space F(R) of real  valued functions , consider the subset W = {f  f(2)
=
0} (that is, the subset of functions such that f(2) = 0). Show that W is a
subspace
of the space F(R).
3. Is the following set of vectors linearly independent : ?
4. Let
(a) Find the basis of the row space of A.
(b) Find the basis of the column space of A.
(c) What is the rank of A?
(d) What is the dimension of the null space of A?
5. Consider the function T : R^{2}→ R^{3} defined by T :
Prove or disprove that T is a linear transformation .
6. Let T : R^{4} → R^{3} and S : R^{3} → R^{1} be matrix transformations given
by
matrices and
, respectively. Find the
matrix which represents the composition S o T.
7. Consider the ordered basis of R^{3}. Let
Find the coordinate vector of X in the basis B.
8. Let
(a) Compute the determinant of A.
(b) Determine if A is invertible and if so, compute the (1, 2)entry of its
inverse.
9. Use Cramer’s rule to solve the system
2x + 5y − 3z = 1
2x + y + z = 0
x − 2y + z = 0
10. Let .
(a) Find all eigenvalues for the matrix A and a system of linearly independent
eigenvectors of A.
(b) Determine if A is diagonalizable. Explain why of why not.
11. (a) Show that the vectors P form an
orthogonal basis of R^{3}.
(b) Find the coordinates for the vector with
respect to the basis from
part (a).
12. Use the GramSchmidt orthogonalization procedure to find an orthogonal
basis for the subspace spanned by the vectors
and
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