MATH 304 Test 1 Solutions: Diagonalizing Matrices and Finding Eigenvalues and Eigenvectors, Exams of Linear Algebra

The solutions to test 1 for math 304, a college-level mathematics course. The test covers topics related to diagonalizing matrices, finding eigenvalues and eigenvectors. Step-by-step solutions for various problems, some of which involve finding the eigenvalues and eigenvectors of given matrices.

Typology: Exams

Pre 2010

Uploaded on 08/18/2009

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MATH 304 Test 1 Solutions
January 30 , 2007 Name
Put your answers in the space provided. Show your reasoning. The maximum score on the test is 30 points.
Calculators may be used unless specifically restricted.
1. 6 points Diagonalize the matrix A="0.40.3
0.4 1.2#.Circle your answer. Use this diagonalization to
show that Akapproaches "0.50.75
1.0 1.50 #as k .
0.4λ.03
0.4 1.2λ
= 0.48 1.6λ+λ2+ 0.12 = λ21.6λ+ 0.6 = (λ0.6)(λ1)
λ= 1."0.60.3
0.4 0.2#"2 1
0 0 #so the eigenvector is u="1
2#
λ= 0.6."0.20.3
0.4 0.6#"2 3
0 0 #so the eigenvector is u="3
2#
Thus A="0.40.3
0.4 1.2#=P"1 0
0 0.6#P1where P="1 3
22#and P1=1
4"23
2 1 #.
Ak=P DkP1.Dk="1 0
0 0.6k#and 0.6k0as k . So Dk"1 0
0 0 #
Finally, AkP"1 0
0 0 #P1=1
4"1 3
22#" 1 0
0 0 #" 23
2 1 #=1
4"23
4 6 #
2. 4 points Suppose that xis an eigenvector of Acorresponding to the eigenvalue λ. Show that xis an
eigenvector of 5IA. What is the corresponding eigenvalue?
(5IA)x= 5xAx= 5xλx= (5 λ)x
So xis an eigenvector for 5IAand the eigenvalue is 5λ
3. 4 points For what value(s) of wis the matrix "3 0
1w#diagonalizable?
If w6= 3, then the eigenvalues are 3and w; each with a linearly independent eigenvector and so A
will be diagonalizable.
If w= 3 then 3is an eigenvalue of algebraic multiplicity 2. We find its eigenvectors.
A3I="0 0
1 0 #"1 0
0 0 #. All eigenvectors will be multiples of "0
1#. We do not have
enough linearly
independent eigenvectors with which to diagonalize A. So Ais diagonalizable for all wexcept 3.
pf3

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MATH 304

Test 1 Solutions January 30 , 2007 Name

Put your answers in the space provided. Show your reasoning. The maximum score on the test is 30 points. Calculators may be used unless specifically restricted.

  1. 6 points Diagonalize the matrix A =

[

  1. 4 − 0. 3
  2. 4 1. 2

]

. Circle your answer. Use this diagonalization to

show that Ak^ approaches

[ − 0. 5 − 0. 75

  1. 0 1. 50

] as k → ∞.

∣∣ ∣∣ ∣

  1. 4 − λ −. 03
  2. 4 1. 2 − λ

∣∣ ∣∣ ∣ = 0. 48 − 1. 6 λ + λ^2 + 0.12 = λ^2 − 1. 6 λ + 0.6 = (λ − 0 .6)(λ − 1)

λ = 1.

[ − 0. 6 − 0. 3

  1. 4 0. 2

] ⇒

[ 2 1 0 0

] so the eigenvector is u =

[ 1 − 2

]

λ = 0. 6.

[ − 0. 2 − 0. 3

  1. 4 0. 6

] ⇒

[ 2 3 0 0

] so the eigenvector is u =

[ 3 − 2

]

Thus A =

[

  1. 4 − 0. 3
  2. 4 1. 2

] = P

[ 1 0 0 0. 6

] P −^1 where P =

[ 1 3 − 2 − 2

] and P −^1 =

[ − 2 − 3 2 1

] .

Ak^ = P DkP −^1. Dk^ =

[ 1 0 0 0. 6 k

] and 0. 6 k^ → 0 as k → ∞. So Dk^ →

[ 1 0 0 0

]

Finally, Ak^ → P

[ 1 0 0 0

] P −^1 =

[ 1 3 − 2 − 2

] [ 1 0 0 0

] [ − 2 − 3 2 1

]

[ − 2 − 3 4 6

]

  1. 4 points Suppose that x is an eigenvector of A corresponding to the eigenvalue λ. Show that x is an eigenvector of 5 I − A. What is the corresponding eigenvalue?

(5I − A)x = 5x − Ax = 5x − λx = (5 − λ)x

So x is an eigenvector for 5 I − A and the eigenvalue is 5 − λ

  1. 4 points For what value(s) of w is the matrix

[ 3 0 1 w

] diagonalizable?

If w 6 = 3, then the eigenvalues are 3 and w; each with a linearly independent eigenvector and so A will be diagonalizable. If w = 3 then 3 is an eigenvalue of algebraic multiplicity 2. We find its eigenvectors.

A − 3 I =

[ 0 0 1 0

] ⇒

[ 1 0 0 0

]

. All eigenvectors will be multiples of

[ 0 1

]

. We do not have enough linearly independent eigenvectors with which to diagonalize A. So A is diagonalizable for all w except 3.

MATH 304 Test 1 Solutions January 30 , 2007 Page 2 of 3

  1. 4 points Without using your calculator, find the eigenvalues for the matrix A =

[ 6 − 5 1 2

] and then find

the corresponding eigenvectors.

[ 6 − λ − 5 1 2 − λ

] = 12 − 8 λ + λ^2 + 5 = λ^2 − 8 λ + 17. So λ =

= 4 ± i.

λ = 4 + i.

[ 2 − i − 5 1 − 2 − i

] ⇒

[ 1 − 2 − i 0 0

]

. The eigenvector is

[ 2 + i 1

]

The eigenvector for λ = 4 − i is

[ 2 − i 1

] .

  1. 5 points Find an invertible matrix P and a matrix C =

[ a −b b a

] for which the matrix A =

[ 4 − 5 1 0

]

has the form P CP −^1. Encircle your answers.

[ 4 − λ − 5 1 −λ

] = λ^2 − 4 λ + 5 = (λ − 2)^2 + 1 so λ − 2 = ±i or λ = 2 ± i

λ = 2 − i.

[ 2 + i − 5 1 −2 + i

]

. Eigenvector is

[ 2 − i 1

]

So C =

[ 2 − 1 1 2

] and P =

[ 2 − 1 1 0

]

  1. 2 points Without using your calculator, find the eigenvalue of the matrix A =

 

  for the

eigenvector u =

 

 .

Since

 

 

 

  =

 

  = 2

 

  , the eigenvalue is 2.