пр Select a square matrix (3 x 3 or larger) from anywhere in our textbook, outside of chapter 7. Call the matrix A and make sure you tell us what the matrix is. Then: 1. Give all the eigen-information for the matrix A, including: 1. Characteristic Polynomial 2. Eigenvalues and eigenvectors 3. Algebraic multiplicity

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.4: The Singular Value Decomposition
Problem 59EQ
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BEFORE YOU POST YOUR WORK MAKE SURE YOU POST PICTURES OF YOUR WORK AND DO NOT TYPE IT, IT'S HARDER TO UNDERSTAND

Can you please solve everything of what is asking on the picture by using the matrix provided. Make sure you explain each step you make and show all of your work.

Use the identity I3 in order to solve the problem and answer all of the question.

I3= (100,010,001)

 

Initial Post Prompt
Select a square matrix (3 x 3 or larger) from anywhere in our textbook, outside of chapter 7. Call the matrix A and make sure you tell us what the matrix
is.
Then:
1. Give all the eigen-information for the matrix A, including:
1. Characteristic Polynomial
2. Eigenvalues and eigenvectors
3. Algebraic multiplicity
4. Geometric multiplicity
5. Eigenspaces
2. State whether or not we can use the eigenvectors of A to form an eigenbasis. If so, state the eigenbasis.
3. State whether or not the matrix is defective or non-defective.
4. State if the matrix is diagonalizable and state how you know.
5. If the matrix is diagonalizable, then diagonalize the matrix.
Transcribed Image Text:Initial Post Prompt Select a square matrix (3 x 3 or larger) from anywhere in our textbook, outside of chapter 7. Call the matrix A and make sure you tell us what the matrix is. Then: 1. Give all the eigen-information for the matrix A, including: 1. Characteristic Polynomial 2. Eigenvalues and eigenvectors 3. Algebraic multiplicity 4. Geometric multiplicity 5. Eigenspaces 2. State whether or not we can use the eigenvectors of A to form an eigenbasis. If so, state the eigenbasis. 3. State whether or not the matrix is defective or non-defective. 4. State if the matrix is diagonalizable and state how you know. 5. If the matrix is diagonalizable, then diagonalize the matrix.
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