Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 7 - Eigenvalues and Eigenvectors - 7.5 Orthogonal Diagonalization and Quadratic Forms - True-False Review - Page 473: b

Answer

True

Work Step by Step

$A=\begin{bmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\a_{31} & a_{32} & a_{33} \end{bmatrix}$ with characteristic polynomial $p(\lambda)=\lambda^3+\lambda \rightarrow \lambda^3+\lambda =0\\ \rightarrow \lambda(\lambda^2+1)=0\\ \rightarrow \lambda_1=0\\ \lambda_2=i\\ \lambda_3=-i$ We can see that $A$ has two complex eigenvalues. According to theorem 7.5.4, the matrix $A$ can not be symmetric. Hence, the statement is true.
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