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This is a second-year linear algebra exam from lancaster university in 2008. It covers topics such as vector equations, matrix operations, subspaces, eigenvalues, and eigenvectors. The exam has two sections, with 50 marks allocated to section a and 50 marks to section b, but the maximum mark that can be gained in section a is capped at 40. The exam also includes questions on inner products and vector spaces.
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PART II (Second year)
MATHEMATICS & STATISTICS 2 hours
Math 220: Linear Algebra
You should answer ALL Section A questions and THREE Section B questions.
In Section A there are questions worth a total of 50 marks, but the maximum mark that you can
gain there is capped at 40
A1. Write down, in Cartesian form, the equations of the straight line through the point with
position vector (3, 1 , −2) parallel to the direction given by (1, 0 , 1). [5]
A2. (i) Find the reduced echelon form E for the matrix
(ii) Find an invertible matrix P such that E = P A. Check your answer. [5]
A3. Let S = {(1, − 3 , 1), (− 2 , 6 , −2), (2, 1 , −4), (− 1 , 10 , −7)}.
Find the dimension of sp S, the subspace spanned by S. [10]
A4. Let S = {(x, y, 2 y − x) : x, y ∈ R}. Show that S is a subspace of R
3
. [5]
A5. Find the matrix of the linear transformation T : R
2 → R
2 given by
T ((x, y)) = (2x + y, 3 x − y)
with respect to
(i) the standard basis in both domain and codomain; [1]
(ii) the basis (1, 1), (2, −3) in both domain and codomain. [4]
please turn over
SECTION A continued
A6. Show that (1, 1 , −2) and (1, 1 , −1) are eigenvectors for the matrix
and find the corresponding eigenvalues. [5]
A7. For each v = (x 1 , y 1 ), w = (x 2 , y 2 ) ∈ R
2 define
〈v, w〉 = 3x 1 x 2 + 2y 1 y 2.
(i) Show that this is an inner product on R
2 , and [7]
(ii) find the length of (1, 1) with respect to this inner product. [3]
please turn over
SECTION B continued
B3. (a) Let^ A^ = [aij ] be an^ m^ ×^ n^ matrix with elements in a field^ F^.
(i) Give a criterion involving rank A and rank (A|B) for the system of linear equations
AX = B to be consistent. [1]
(ii) Let X = X 1 be a fixed solution to the system AX = B. Show that if X = X 2 is a
solution to the system AX = 0 then X = X 1 + X 2 is a solution to AX = B. Show
furthermore that every solution to AX = B is of this form. [6]
(b) (i) Find the reduced echelon form for the matrix C where
and hence determine its rank. [8]
(ii) Use (a)(i) above to show that the system
2 z +w = 9
− 2 x − 6 y + 2z = 2
2 x + 6y − 2 z +2w = 0
3 x + 9y + 2z +2w = 19
is consistent, and give its general solution. [5]
B4. Let
(i) Determine the eigenvalues of A. [6]
(ii) Determine the eigenspaces of A. [9]
(iii) Find an orthonormal basis for R
3 consisting of eigenvectors of A. [3]
(iv) Write down an orthogonal matrix P and a diagonal matrix D such that P
T AP = D. [2]
end of exam