Matrix with Eigenvalues - Computational Linear Algebra - Exam, Exams of Linear Algebra

This is the Exam of Computational Linear Algebra and its key important points are: Matrix with Eigenvalues, Eigenvectors, Real Numbers, Homogeneous Equations, Linear Transformation, Transpose, Invertible Matrices, Transformation, Linear Map, Real Constant

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2012/2013

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Signature Printed Name
Math 313 Final Exam Jerry L. Kazdan
April 29, 2005 1:30 3:30
Directions This exam has 12 problems (10 points each). Closed book, no calculators but you
may use one 3”×5” card with notes.
1. Let Abe a 3 ×3 matrix with eigenvalues λ1, λ2,λ3and corresponding
(independent) eigenvectors V1,V2,V3which we can therefore use as a basis
(of course AVj=λjVj).
If X=aV1+bV2+cV3, compute AX,A2X, and A35Xin terms of λ1,λ2,
λ3,V1,V2,V3,a,band c(only).
2. Let A:= 1 4 11 4
125 6
0 4 12 5
1 2 7 4 ,X0:= 1
0
0
1.Y:= 3
5
5
3, and Z:= 1
3
1
0.
You are given that the vector X0is a particular solution of AX =Yand
Zis in the nullspace of A.
a) Find another solution (other than X0) of AX =Y.
b) If Zis a basis for the nullspace of A, find the general solution of AX =Y.
3. Let Abe an n×nmatrix of real numbers. Circle each of the following
statements that are NOT equivalent to: “the matrix Ais invertible”? [No
justification is needed.]
a) The columns of Aare linearly independent.
b) The columns of Aspan Rn.
c) The only solution of the homogeneous equations Ax = 0 is x= 0.
d) The linear transformation A:RnRndefined by Ais 1-1.
e) The linear transformation A:RnRndefined by Ais onto.
f) The rank of Ais n.
g) The transpose, AT, is invertible.
Score
1
2
3
4
5
6
7
8
9
10
11
12
Total
4. Let A,B, and Cbe n×ninvertible matrices.
a) Solve the equation C1(2I+AM )C=Bfor the matrix M.
b) If 2 is not an eigenvalue of B, show that Mis invertible,
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Signature Printed Name

Math 313 Final Exam Jerry L. Kazdan

April 29, 2005 1:30 — 3:

Directions This exam has 12 problems (10 points each). Closed book, no calculators – but you may use one 3”× 5” card with notes.

  1. Let A be a 3 × 3 matrix with eigenvalues λ 1 , λ 2 , λ 3 and corresponding (independent) eigenvectors V 1 , V 2 , V 3 which we can therefore use as a basis (of course AVj = λj Vj ). If X = aV 1 + bV 2 + cV 3 , compute AX , A^2 X , and A^35 X in terms of λ 1 , λ 2 , λ 3 , V 1 , V 2 , V 3 , a, b and c (only).
  2. Let A :=

− 1 − 2 − 5 6 0 4 12 5 − 1 2 7 4

, X 0 :=

0 (^01)

. Y :=

5 5 3

, and Z :=

− 3 1 0

You are given that the vector X 0 is a particular solution of AX = Y and Z is in the nullspace of A. a) Find another solution (other than X 0 ) of AX = Y.

b) If Z is a basis for the nullspace of A, find the general solution of AX = Y.

  1. Let A be an n × n matrix of real numbers. Circle each of the following statements that are NOT equivalent to: “the matrix A is invertible”? [No justification is needed.] a) The columns of A are linearly independent.

b) The columns of A span Rn^.

c) The only solution of the homogeneous equations Ax = 0 is x = 0.

d) The linear transformation A : Rn^ → Rn^ defined by A is 1-1.

e) The linear transformation A : Rn^ → Rn^ defined by A is onto.

f) The rank of A is n.

g) The transpose, AT^ , is invertible.

Score

1 2 3 4 5 6 7 8 9

Total

  1. Let A, B , and C be n × n invertible matrices. a) Solve the equation C−^1 (2I + AM )C = B for the matrix M. b) If 2 is not an eigenvalue of B , show that M is invertible,

Name (print) 2

  1. a). Find a linear map of the plane, A : R^2 − > R^2 that does the following transformation of the letter F (here the smaller F is transformed to the larger one):

b). Find a linear map of the plane that inverts this map, that is, it maps the larger F to the smaller.

  1. In R^3 , compute the distance from the point (1, 0 , 0) to the plane x 1 + 3x 2 − x 3 = 3.
  2. Let A :=

− 3 b b − 3

, where b is a real constant. To save time, you are given that the

eigenvalues of A are λ = − 3 ± b. Consider the system of differential equations

dU dt

= AU for the vector U (t). Find all values of the parameter b so that limt→∞ U (t) = 0.

[Circle the correct answer] a). All b > 0 b). |b| < 3 b). b < 9 d). b < 3 e). b < − 3 f). |b| ≤ 3

  1. Find the eigenvalues and corresponding eigenvectors of the matrix A =

b). If B = 13 A, find an invertible matrix P and a diagonal matrix D so that B = P DP −^1. c). What can you say about limk→∞ Bk^? (Please briefly justify your assertion.)