Chapter 5: Q5.3-31E (page 267)
Question: Construct a nonzero \({\bf{2}} \times {\bf{2}}\) matrix that is invertible but not diagonalizable.
Short Answer
The matrix A is \(\left[ {\begin{array}{*{20}{c}}3&2\\0&3\end{array}} \right]\).
Chapter 5: Q5.3-31E (page 267)
Question: Construct a nonzero \({\bf{2}} \times {\bf{2}}\) matrix that is invertible but not diagonalizable.
The matrix A is \(\left[ {\begin{array}{*{20}{c}}3&2\\0&3\end{array}} \right]\).
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Get started for freeQuestion: Is \(\left( {\begin{array}{*{20}{c}}{ - 1 + \sqrt 2 }\\1\end{array}} \right)\) an eigenvalue of \(\left( {\begin{array}{*{20}{c}}2&1\\1&4\end{array}} \right)\)? If so, find the eigenvalue.
Question: Is \(\lambda = 2\) an eigenvalue of \(\left( {\begin{array}{*{20}{c}}3&2\\3&8\end{array}} \right)\)? Why or why not?
Consider an invertible n × n matrix A such that the zero state is a stable equilibrium of the dynamical system What can you say about the stability of the systems
Question 19: Let \(A\) be an \(n \times n\) matrix, and suppose A has \(n\) real eigenvalues, \({\lambda _1},...,{\lambda _n}\), repeated according to multiplicities, so that \(\det \left( {A - \lambda I} \right) = \left( {{\lambda _1} - \lambda } \right)\left( {{\lambda _2} - \lambda } \right) \ldots \left( {{\lambda _n} - \lambda } \right)\) . Explain why \(\det A\) is the product of the n eigenvalues of A. (This result is true for any square matrix when complex eigenvalues are considered.)
Let\(B = \left\{ {{{\bf{b}}_{\bf{1}}},{{\bf{b}}_{\bf{2}}},{{\bf{b}}_{\bf{3}}}} \right\}\) and \(D = \left\{ {{{\bf{d}}_{\bf{1}}},{{\bf{d}}_{\bf{2}}}} \right\}\) be bases for vector space \(V\) and \(W\), respectively. Let \(T:V \to W\) be a linear transformation with the property that
\(T\left( {{{\bf{b}}_1}} \right) = 3{{\bf{d}}_1} - 5{{\bf{d}}_2}\), \(T\left( {{{\bf{b}}_2}} \right) = - {{\bf{d}}_1} + 6{{\bf{d}}_2}\), \(T\left( {{{\bf{b}}_3}} \right) = 4{{\bf{d}}_2}\)
Find the matrix for \(T\) relative to \(B\), and\(D\).
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