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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.
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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.
[
]
. Circle your answer. Use this diagonalization to
show that Ak^ approaches
[ − 0. 5 − 0. 75
] as k → ∞.
∣∣ ∣∣ ∣
∣∣ ∣∣ ∣ = 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
] ⇒
[ 2 1 0 0
] so the eigenvector is u =
[ 1 − 2
]
λ = 0. 6.
[ − 0. 2 − 0. 3
] ⇒
[ 2 3 0 0
] so the eigenvector is u =
[ 3 − 2
]
Thus A =
[
] = 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
]
(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
[ 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
[ 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
] .
[ 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
]
for the
eigenvector u =
.
Since
=
= 2
, the eigenvalue is 2.