1 - 2i -8i -4-4i 8i 1 + 2i -4 - 4i 4 + 4i -4 - 4i 7 The characteristic polynomial of A is (+9) (x²-18 Let A = The eigenvalues of A are A₁ 9 +6 i, X₂ 9 -6 (Enter positive integers for X₁ and ₂.) X₁ Determine an unitary matrix U such that A=U 0 0 U = col com 333 호 w|m (C i and X3 = -9 09 ] i]) & ( [ 3 - +117 0 ₂ 0 UH. 0 X3 (Remember a non-zero scalar multiple of an eigenvector of A is also an eigenvector of A.)
1 - 2i -8i -4-4i 8i 1 + 2i -4 - 4i 4 + 4i -4 - 4i 7 The characteristic polynomial of A is (+9) (x²-18 Let A = The eigenvalues of A are A₁ 9 +6 i, X₂ 9 -6 (Enter positive integers for X₁ and ₂.) X₁ Determine an unitary matrix U such that A=U 0 0 U = col com 333 호 w|m (C i and X3 = -9 09 ] i]) & ( [ 3 - +117 0 ₂ 0 UH. 0 X3 (Remember a non-zero scalar multiple of an eigenvector of A is also an eigenvector of A.)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![-4-4i
-4 - 4i
7
The characteristic polynomial of A is (x+9 )(x²-18 x+117
Let A =
The eigenvalues of A are
A₁ = 9+6i, λ₂ =9 -6
(Enter positive integers for X₁ and X₂.)
U =
1 - 2i
8i
|31|3
-8i
1 + 2i
4+4i-4-4i
X₁ 0
Determine an unitary matrix U such that A = U| 0X₂0
0 0 X3
11/13
H
13
i and X3 -9
w|1
이
H|3
(L
T
]+[
륭
UH
(Remember a non-zero scalar multiple of an eigenvector of A is also an eigenvector of A.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fefe71c64-8346-40ed-b3ed-a6b5092127b6%2Fef2e9f26-e160-46b6-8f0a-6bdf2402a266%2Fypka41h_processed.png&w=3840&q=75)
Transcribed Image Text:-4-4i
-4 - 4i
7
The characteristic polynomial of A is (x+9 )(x²-18 x+117
Let A =
The eigenvalues of A are
A₁ = 9+6i, λ₂ =9 -6
(Enter positive integers for X₁ and X₂.)
U =
1 - 2i
8i
|31|3
-8i
1 + 2i
4+4i-4-4i
X₁ 0
Determine an unitary matrix U such that A = U| 0X₂0
0 0 X3
11/13
H
13
i and X3 -9
w|1
이
H|3
(L
T
]+[
륭
UH
(Remember a non-zero scalar multiple of an eigenvector of A is also an eigenvector of A.)
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