1 3 Consider the matrix A = 3 1 -2 1. Why is the matrix A orthogonally diagonalizable? 2. Find all the eigenvalues of A and determine the multiplicity of each. 3. For each eigenvalue of A of multiplicity 1, find an eigenvector of length 1. 4. For each eigenvalue of A of multiplicity k > 1 , find a set of k linearly independent eigenvectors. If this set of not orthonormal, apply Gram-Schmidt orthonormalization process to get an orthonormal set of eigenvectors. 5. Parts 3 and 4 give us an orthonormal set of n eigenvectors. Use these eigenvectors to form the matrix P. 6. Calculate the inverse of P. 7. Find the matrix P-' AP

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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1
3
Consider the matrix A =
3
-2
1. Why is the matrix A orthogonally diagonalizable?
2. Find all the eigenvalues of A and determine the multiplicity of each.
3. For each eigenvalue of A of multiplicity 1, find an eigenvector of length 1.
4. For each eigenvalue of A of multiplicity k > 1 , find a set of k linearly independent eigenvectors. If this set of not orthonormal, apply Gram-Schmidt
orthonormalization process to get an orthonormal set of eigenvectors.
5. Parts 3 and 4 give us an orthonormal set of n eigenvectors. Use these eigenvectors to form the matrix P.
6. Calculate the inverse of P.
7. Find the matrix P-l AP
Transcribed Image Text:1 3 Consider the matrix A = 3 -2 1. Why is the matrix A orthogonally diagonalizable? 2. Find all the eigenvalues of A and determine the multiplicity of each. 3. For each eigenvalue of A of multiplicity 1, find an eigenvector of length 1. 4. For each eigenvalue of A of multiplicity k > 1 , find a set of k linearly independent eigenvectors. If this set of not orthonormal, apply Gram-Schmidt orthonormalization process to get an orthonormal set of eigenvectors. 5. Parts 3 and 4 give us an orthonormal set of n eigenvectors. Use these eigenvectors to form the matrix P. 6. Calculate the inverse of P. 7. Find the matrix P-l AP
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