Let a1, ..., a be n linearly independent vectors in R". Prove that if a vector b in R" is orthogonal to all the vectors a1,... , an, then b 0. For the following matrix, find the eigenvalues and also those eigenvectors that corre- spond to the real eigenvalues: 2 1 -1 0 1 2 0-2 Suppose A is a square matrix and let A be an eigenvalue of A. Prove that if det A # 0, then A 0. In this case show that 1/A is an eigenvalue of the inverse A-. Is given matrix diagonalizable? If so, what are the corresponding matrices P and D? 1 3 4 3 1 0 4 0 1 1 1 0 (b) 110 (c) 0 0 2
Let a1, ..., a be n linearly independent vectors in R". Prove that if a vector b in R" is orthogonal to all the vectors a1,... , an, then b 0. For the following matrix, find the eigenvalues and also those eigenvectors that corre- spond to the real eigenvalues: 2 1 -1 0 1 2 0-2 Suppose A is a square matrix and let A be an eigenvalue of A. Prove that if det A # 0, then A 0. In this case show that 1/A is an eigenvalue of the inverse A-. Is given matrix diagonalizable? If so, what are the corresponding matrices P and D? 1 3 4 3 1 0 4 0 1 1 1 0 (b) 110 (c) 0 0 2
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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second one please starting with: Let a_1,...,a_n

Transcribed Image Text:Let a,..., a, be n linearly independent vectors in R". Prove that if a vector b in R" is
orthogonal to all the vectors a,..., an, then b 0.
For the following matrix, find the eigenvalues and also those eigenvectors that corre-
spond to the real eigenvalues:
(三)
21
3D1
0 1
1.
牛美
20-2
Suppose A is a square matrix and let A be an eigenvalue of A. Prove that if det A 0,
then A0. In this case show that 1/A is an eigenvalue of the inverse A.
Is given matrix diagonalizable? If so, what are the corresponding matrices P and D?
134
3 10
4 0 1
1.
1 0
(b)
110
(c)
002
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Let be n linearly independent vectors in .
To prove that if a vector b in is orthogonal to all the vectors , then b = 0:
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