Exercise: Let A = 35 2 3 3 1 2 32 1 2 1 0 3 -9 18 -57 18 -2 14 -28 -1 2 -4 6 12 -2 -30 -10 5 -9 -2 2 -4 18 14 6 12 2 -57 -28 1. -2 -30 18 -1 -10 5 The matrix A satisfies -1 2 0 1 -1 2 2 5 1 TOT 0 -1 and 0 -3 3 11 1000 02 0 -4 0 0 0 0 0 where the matrix multiplying A on the left is the inverse of the one multiplying A on the right. The eigenvalues of A are 0 0 9]

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.3: Spanning Sets And Linear Independence
Problem 42EQ
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Recall: An n x n matrix A is diagonalizable if there exists an invertible n x n matrix
P and a diagonal n x n matrix D and such that
P-¹ AP = D
Keep in mind this equation when answering the following:
Exercise: Let A =
لیا
3
5
2 3
3 3
1 2
3
2 1 2
2 1 0 1
-9
18
-57
18
-9
18
-2 2
-4
14 6
12
-28
-2
-30
-1 -10 5
-2 2 -4
14
6 12
-2 -30
-1 -10 5
-57-28
The matrix A satisfies
[-3 -3 -6]
-1 2 0 -1
0 1 -1
2 1
-1
2 -5 1
0
-3
3
and
=
18
where the matrix multiplying A on the left is the inverse of the one multiplying A on
the right.
The eigenvalues of A are
1 0
02
00
0 0
0 0
0 0
-4 0
0 9]
Transcribed Image Text:Recall: An n x n matrix A is diagonalizable if there exists an invertible n x n matrix P and a diagonal n x n matrix D and such that P-¹ AP = D Keep in mind this equation when answering the following: Exercise: Let A = لیا 3 5 2 3 3 3 1 2 3 2 1 2 2 1 0 1 -9 18 -57 18 -9 18 -2 2 -4 14 6 12 -28 -2 -30 -1 -10 5 -2 2 -4 14 6 12 -2 -30 -1 -10 5 -57-28 The matrix A satisfies [-3 -3 -6] -1 2 0 -1 0 1 -1 2 1 -1 2 -5 1 0 -3 3 and = 18 where the matrix multiplying A on the left is the inverse of the one multiplying A on the right. The eigenvalues of A are 1 0 02 00 0 0 0 0 0 0 -4 0 0 9]
-3 -3 -6
Exercise: Let B = 2
47
4 2
27
The matrix B satisfies
-1
-6
-1 -1
-3 -3
1 -3 1
-2 -1 -2 2
4
2
-2 1
0
-4 -2 -5 4 2 7 02 -1
A basis for the eigenspace E₂ is BE2
where the matrix multiplying B on the left is the inverse of the one multiplying B on
the right.
The eigenvalues of B are λ = 2 and λ = 3.
3 0 0]
020
0 0 3.
A basis for the eigenspace E3 is BE3 =
HI
(88)
Transcribed Image Text:-3 -3 -6 Exercise: Let B = 2 47 4 2 27 The matrix B satisfies -1 -6 -1 -1 -3 -3 1 -3 1 -2 -1 -2 2 4 2 -2 1 0 -4 -2 -5 4 2 7 02 -1 A basis for the eigenspace E₂ is BE2 where the matrix multiplying B on the left is the inverse of the one multiplying B on the right. The eigenvalues of B are λ = 2 and λ = 3. 3 0 0] 020 0 0 3. A basis for the eigenspace E3 is BE3 = HI (88)
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