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Question: Construct a nonzero \({\bf{2}} \times {\bf{2}}\) matrix that is invertible but not diagonalizable.

Short Answer

Expert verified

The matrix A is \(\left[ {\begin{array}{*{20}{c}}3&2\\0&3\end{array}} \right]\).

Step by step solution

01

Write the matrix which is invertible but not diagonalizable

Let the matrix of the order \(2 \times 2\) be:

\(A = \left[ {\begin{array}{*{20}{c}}5&2\\0&4\end{array}} \right]\)

The matrix A is triangular; therefore, the diagonal elements are the eigenvalues. So, the eigenvalues of A are 5 and 4

As the eigenvalues are distinct, therefore A is diagonalizable.

Consider a matrix with the same eigenvalues:

\(A = \left[ {\begin{array}{*{20}{c}}3&2\\0&3\end{array}} \right]\)

02

Apply characteristic equation for \(A\)

Apply the characteristic equation:

\(\begin{array}{c}\left( {A - 3I} \right){\bf{x}} = 0\\\left( {\left[ {\begin{array}{*{20}{c}}3&2\\0&3\end{array}} \right] - \left[ {\begin{array}{*{20}{c}}3&0\\0&3\end{array}} \right]} \right)\left[ {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}0\\0\end{array}} \right]\\\left[ {\begin{array}{*{20}{c}}0&2\\0&0\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}0\\0\end{array}} \right]\end{array}\)

So, the eigenvector of the matrix is:

\(\begin{array}{c}{\bf{v}} = \left[ {\begin{array}{*{20}{c}}t\\0\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}1\\0\end{array}} \right]t\end{array}\)

Since the eigenvector is linearly dependent, therefore matrix A is invertible but not diagonalizable.

So, the matrix A is \(\left[ {\begin{array}{*{20}{c}}3&2\\0&3\end{array}} \right]\).

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Most popular questions from this chapter

Question: 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 x(t+1)=Ax(t) What can you say about the stability of the systems

x(t+1)=A-1x(t)

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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