Question

In Exercises 9–16, find a basis for the eigenspace corresponding to each listed eigenvalue.

11. \(A = \left( {\begin{array}{*{20}{c}}4&{ - 2}\\{ - 3}&9\end{array}} \right)\), \(\lambda = 10\)

Short answer

\(\left( {\begin{array}{*{20}{c}}{ - \frac{1}{3}}\\1\end{array}} \right)\) is the basis for the eigenspace for \(\lambda = 10\).

Step-by-step solution

Definitions

Eigenvalue: Let \(\lambda \) is a scaler, \(A\) is an \(n \times n\) matrix and \({\bf{x}}\) is an eigenvector corresponding to \(\lambda \), \(\lambda \) is said to an eigenvalue of the matrix \(A\) if there exists a nontrivial solution \({\bf{x}}\) of \(A{\bf{x}} = \lambda {\bf{x}}\).

Eigenvector: For a \(n \times n\) matrix \(A\), whose eigenvalue is \(\lambda \), the set of a subspace of \({\mathbb{R}^n}\) is known as an eigenspace, where a set of the subspace of is the set of all the solutions of \(\left( {A - \lambda I} \right){\bf{x}} = 0\).

Find a basis of eigenspace for \(\lambda  = 4\)

The given matrix is \(A = \left( {\begin{array}{*{20}{c}}4&{ - 2}\\{ - 3}&9\end{array}} \right)\), where \(\lambda = 10\).

As, \(\lambda = 10\) is the eigenvalue of the matrix \(A\), so it satisfies the equation \(A{\bf{x}} = \lambda {\bf{x}}\).

For \(\lambda = 10\), solve \(\left( {A - \lambda I} \right){\bf{x}} = 0\), for which first evaluate \(\left( {A - \lambda I} \right)\).

\(\begin{array}{c}\left( {A - 10I} \right) = \left( {\begin{array}{*{20}{c}}4&{ - 2}\\{ - 3}&9\end{array}} \right) - 10\left( {\begin{array}{*{20}{c}}1&0\\0&1\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}4&{ - 2}\\{ - 3}&9\end{array}} \right) - \left( {\begin{array}{*{20}{c}}{10}&0\\0&{10}\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - 6}&{ - 2}\\{ - 3}&{ - 1}\end{array}} \right)\end{array}\)

Write the obtained matrix in the form of an augmented matrix, where for \(A{\bf{x}} = 0\), the augmented matrix given by \(\left( {\begin{array}{*{20}{c}}A&0\end{array}} \right)\).

\(\left( {\begin{array}{*{20}{c}}{ - 6}&{ - 2}&0\\{ - 3}&{ - 1}&0\end{array}} \right)\)

The obtained matrix is not in a reduced form, so reduce it in row echelon form by applying row operations.

\(\begin{gathered} \hfill \left( {\begin{array}{*{20}{c}} { - 6}&{ - 2}&0 \\ { - 3}&{ -1}&0 \end{array}} \right)\xrightarrow{{{R_1} \to - \frac{{{R_1}}}{6}}}\left( {\begin{array}{*{20}{c}} 1&{\frac{1}{3}}&0 \\ { - 3}&{ - 1}&0 \end{array}} \right) \\ \hfill \xrightarrow{{{R_2} \to {R_2} + 3{R_1}}}\left( {\begin{array}{*{20}{c}} 1&{\frac{1}{3}}&0 \\ 0&0&0 \end{array}} \right) \\ \end{gathered} \)

Write a system of equations corresponding to the obtained matrix.

\(\begin{array}{c}{x_1} + \frac{1}{3}{x_2} = 0\\{x_2},{\rm{ free variable}}\end{array}\)

As \({x_2}\) is a free variable, let \({x_2} = 1\). Then,

\(\begin{array}{c}{x_1} = - \frac{1}{3}\\{x_2} = 1\end{array}\)

So, the general solution is given as:

\(\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\end{array}} \right) = {x_2}\left( {\begin{array}{*{20}{c}}{ - \frac{1}{3}}\\1\end{array}} \right)\)

So, \(\left( {\begin{array}{*{20}{c}}{ - \frac{1}{3}}\\1\end{array}} \right)\) is the basis for the eigenspace for \(\lambda = 10\).