Consider the following matrix. -1 0 -1 0 -1 0 -1 A = -1 0 -1 0 -1 1 1 0 -1 0 -1 Use this list of theorems to answer the following questions. (a) Is A symmetric? Explain. O Yes, because A = AT. Yes, because A # AT. O No, because A = AT. O No, because A # AT. (b) Is A diagonalizable? Explain. (Select all that apply.) O yes, by the Real Spectral Theorem O yes, by the Property of Symmetric Matrices yes, by the Fundamental Theorem of Symmetric Matrices no, by the Real Spectral Theorem no, by the Property of Symmetric Matrices no, by the Fundamental Theorem of Symmetric Matrices (c) Are the eigenvalues of A real? Explain. (Select all that apply.) O yes, by the Real Spectral Theorem yes, by the Property of Symmetric Matrices yes, by the Fundamental Theorem of Symmetric Matrices O no, by the Real Spectral Theorem no, by the Property of Symmetric Matrices O no, by the Fundamental Theorem of Symmetric Matrices

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.4: Similarity And Diagonalization
Problem 40EQ
icon
Related questions
Question

(Linear Algebra)

10

7.3

Pls help 

thanks

Consider the following matrix.
-1
0 -1
0 -1
0 -1
A =
-1
0 -1
0 -1
0 -1
1
1
0 -1
Use this list of theorems to answer the following questions.
(a) Is A symmetric? Explain.
O Yes, because A = AT.
Yes, because A + AT.
O No, because A = AT.
O No, because A # AT.
(b) Is A diagonalizable? Explain. (Select all that apply.)
O yes, by the Real Spectral Theorem
O yes, by the Property of Symmetric Matrices
yes, by the Fundamental Theorem of Symmetric Matrices
no, by the Real Spectral Theorem
no, by the Property of Symmetric Matrices
no, by the Fundamental Theorem of Symmetric Matrices
(c) Are the eigenvalues of A real? Explain. (Select all that apply.)
O yes, by the Real Spectral Theorem
yes, by the Property of Symmetric Matrices
yes, by the Fundamental Theorem of Symmetric Matrices
O no, by the Real Spectral Theorem
no, by the Property of Symmetric Matrices
O no, by the Fundamental Theorem of Symmetric Matrices
Transcribed Image Text:Consider the following matrix. -1 0 -1 0 -1 0 -1 A = -1 0 -1 0 -1 0 -1 1 1 0 -1 Use this list of theorems to answer the following questions. (a) Is A symmetric? Explain. O Yes, because A = AT. Yes, because A + AT. O No, because A = AT. O No, because A # AT. (b) Is A diagonalizable? Explain. (Select all that apply.) O yes, by the Real Spectral Theorem O yes, by the Property of Symmetric Matrices yes, by the Fundamental Theorem of Symmetric Matrices no, by the Real Spectral Theorem no, by the Property of Symmetric Matrices no, by the Fundamental Theorem of Symmetric Matrices (c) Are the eigenvalues of A real? Explain. (Select all that apply.) O yes, by the Real Spectral Theorem yes, by the Property of Symmetric Matrices yes, by the Fundamental Theorem of Symmetric Matrices O no, by the Real Spectral Theorem no, by the Property of Symmetric Matrices O no, by the Fundamental Theorem of Symmetric Matrices
(d) The eigenvalues of A are distinct. What are the dimensions of the corresponding eigenspaces? Explain.
O The multiplicity of each eigenvalue is 1, so the dimensions of the corresponding eigenspaces are 1.
The multiplicity of each eigenvalue is 1, so the dimensions of the corresponding eigenspaces are 5.
O The multiplicity of each eigenvalue is 5, so the dimensions of the corresponding eigenspaces are 1.
O The multiplicity of each eigenvalue is 5, so the dimensions of the corresponding eigenspaces are 5.
(e) Is A orthogonal? Explain.
O Yes, because the columns form an orthonormal set.
O No, because the columns do not form an orthonormal set.
(f) For the eigenvalues of A, are the corresponding eigenvectors orthogonal? Explain. (Select all that apply.)
O yes, by the Real Spectral Theorem
yes, by the Property of Symmetric Matrices
yes, by the Fundamental Theorem of Symmetric Matrices
no, by the Real Spectral Theorem
no, by the Property of Symmetric Matrices
O no, by the Fundamental Theorem of Symmetric Matrices
(9) Is A orthogonally diagonalizable? Explain. (Select all that apply.)
O yes, by the Real Spectral Theorem
O yes, by the Property of Symmetric Matrices
yes, by the Fundamental Theorem of Symmetric Matrices
no, by the Real Spectral Theorem
no, by the Property of Symmetric Matrices
O no, by the Fundamental Theorem of Symmetric Matrices
Transcribed Image Text:(d) The eigenvalues of A are distinct. What are the dimensions of the corresponding eigenspaces? Explain. O The multiplicity of each eigenvalue is 1, so the dimensions of the corresponding eigenspaces are 1. The multiplicity of each eigenvalue is 1, so the dimensions of the corresponding eigenspaces are 5. O The multiplicity of each eigenvalue is 5, so the dimensions of the corresponding eigenspaces are 1. O The multiplicity of each eigenvalue is 5, so the dimensions of the corresponding eigenspaces are 5. (e) Is A orthogonal? Explain. O Yes, because the columns form an orthonormal set. O No, because the columns do not form an orthonormal set. (f) For the eigenvalues of A, are the corresponding eigenvectors orthogonal? Explain. (Select all that apply.) O yes, by the Real Spectral Theorem yes, by the Property of Symmetric Matrices yes, by the Fundamental Theorem of Symmetric Matrices no, by the Real Spectral Theorem no, by the Property of Symmetric Matrices O no, by the Fundamental Theorem of Symmetric Matrices (9) Is A orthogonally diagonalizable? Explain. (Select all that apply.) O yes, by the Real Spectral Theorem O yes, by the Property of Symmetric Matrices yes, by the Fundamental Theorem of Symmetric Matrices no, by the Real Spectral Theorem no, by the Property of Symmetric Matrices O no, by the Fundamental Theorem of Symmetric Matrices
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Recommended textbooks for you
Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning
Elementary Linear Algebra (MindTap Course List)
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:
9781305658004
Author:
Ron Larson
Publisher:
Cengage Learning
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage