MATH 219 Final, Spring 2001
American University of Beirut · Linear Algebra I · 7 pages
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AMERICAN UNIVERSITY OF BEIRUT
Spring 2000-01 MATHEMATICS 219
Time : 2 Hours. FINAL EXAMINATION
Prof. H. Abu-Khuzam JUNE 20 ,2001
1. Let T: P2(R) > P3(R) be the linear transformation defined by
T( p(x) = x7 pW) + 3p)
a. Find the matrix of T relative to the standard ordered bases of P2(R) and P3(R).
[ 6 points]
b. Find a basis for Ker T. Find dim (Im T).
{ 6 points]
5.1.0
0 0 6
a. Find the eigenvalucs and a basis for cach eigenspace of A.
[ 8 points]
b. Deduce that there is a basis of R® consisting of eigenvectors of A and find an invertible
matrix P and a diagonal matrix D such that P'AP=D. ( Do not verify)
[ 4 points]
ca
2c. Use part (b) above to find an orthonormal basis of R* consisting of eigenvectors of A.
(3 points]
3. Let A and B be nxn matrices such that AB is invertible. Prove that A must be
invertible. ( Hint: Use Determinants)
[7 points]
4. Show that an orthogonal set of nonzero vectors in an inner product space V is linearly
independent.
{ 8 points]
5. Let T: VV be a linear operator on a finite dimensional vector space V. Show that
(Ker T) 9 (Im T) ={0} = V= (Ker T)+ (Im T)
[7 points]
h
6. Use the row echelon form of the augmented matrix of the following system
x+2y+z=3
xX+3y- 224
x + 2y4+(a-8)z=a.
to find the value(s) of a for which the system has
a. no solution
b a unique solution
c. infinitely many solutions.
[ 10 points]
5
7. Let T: VOW be a linear transformation. Show that If Ay, Ao, ..., A, are vectors in V, such
that T(A;), T(A2), ..., T(An) are linearly independent in W, then Aj, A2,..., A, are linearly
independent in V.
[ 8 points]
8. Let V be a vector space of dimension 3, and let U be a subspace of V of dimension 2.
Show that there exists a lincar transformation T; VV such that T(A)=0 for all AeU,
and T is not the zero map on V.
[6 points].
Answer TRUE or FALSE only: [ 3 points for each correct answer , 0 for no
answer, and ~1 for each wrong answer].
Let A be a 4x4 matrix such that (rank A)=3, then |A] = 0
The subspace of R spanned by the vectors (1,0 ,-1). (2.1, -3). and (5,2,-7) has
dimension 3.
Similar matrices have the same deteminant.
Any set of 2 vectors in R* can be extended to a basis of R? .
If N is a square matrix such that N°=0), then I-N is invertible
The space of all symmetric 3x3 matrices has dimension 5.
If A, B, and C are nxn matrices such that AB=AC. then B=C.
Let W be a subspace of a vector space V, then the set
U= {Ae V: A¢W} is a subspace V.
Let A be an nxn matrix such that AA'=I , where [ is the identity nxn matrix , then
JA] = 1.
[ 27 points]