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Exercises 25 and 26 prove Theorem 4 for \(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\).

26. Show that if \(ad - bc \ne {\bf{0}}\), the formula for \({A^{ - 1}}\) works.

Short Answer

Expert verified

If \(ad - bc \ne 0\), then \({A^{ - 1}} = \frac{1}{{ad - bc}}\left( {\begin{aligned}{*{20}{c}}d&{ - b}\\{ - c}&a\end{aligned}} \right)\).

Step by step solution

01

Write the algorithm for obtaining \({A^{ - 1}}\)

The inverse of an\(m \times m\)matrix A can be computed using theaugmented matrix \(\left( {\begin{aligned}{*{20}{c}}A&I\end{aligned}} \right)\), where\(I\)is theidentity matrix. Matrix Ahas an inverse only if \(\left( {\begin{aligned}{*{20}{c}}A&I\end{aligned}} \right)\) is row equivalent to \(\left( {\begin{aligned}{*{20}{c}}I&{{A^{ - 1}}}\end{aligned}} \right)\).

02

Obtain the inverse of matrix A

Consider the matrix\(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\).

Write the augmented matrix\(\left( {\begin{aligned}{*{20}{c}}A&I\end{aligned}} \right)\)as shown below:

\(\left( {\begin{aligned}{*{20}{c}}A&I\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}a&b&1&0\\c&d&0&1\end{aligned}} \right)\)

Row reduce the augmented matrix as shown below:

Multiply row one by\(\frac{1}{a}\).

\(\left( {\begin{aligned}{*{20}{c}}A&I\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}1&{b/a}&{1/a}&0\\c&d&0&1\end{aligned}} \right)\)

Use the\({x_1}\)term in the first equation to eliminate the\(c{x_1}\)term from the second equation. Add\( - c\)times row one to row two.

\(\left( {\begin{aligned}{*{20}{c}}1&{b/a}&{1/a}&0\\0&{d - \frac{{bc}}{a}}&{ - c/a}&1\end{aligned}} \right) \sim \left( {\begin{aligned}{*{20}{c}}1&{b/a}&{1/a}&0\\0&{\frac{{ad - bc}}{a}}&{ - c/a}&1\end{aligned}} \right)\)

Use the\(\frac{{b{x_2}}}{a}\)term in the first equation to eliminate the\(\left( {\frac{{ad - bc}}{a}} \right){x_2}\)term from the second equation. Add\( - \left( {\frac{b}{{ad - bc}}} \right)\)times row two to row one.

\(\left( {\begin{aligned}{*{20}{c}}1&{b/a}&{1/a}&0\\0&{\frac{{ad - bc}}{a}}&{ - c/a}&1\end{aligned}} \right) \sim \left( {\begin{aligned}{*{20}{c}}1&0&{\frac{d}{{ad - bc}}}&{ - \frac{b}{{ad - bc}}}\\0&{\frac{{ad - bc}}{a}}&{ - c/a}&1\end{aligned}} \right)\)

Multiply row two by\(\left( {\frac{a}{{ad - bc}}} \right)\).

\(\left( {\begin{aligned}{*{20}{c}}1&0&{\frac{d}{{ad - bc}}}&{ - \frac{b}{{ad - bc}}}\\0&1&{\frac{{ - c}}{{ad - bc}}}&{\frac{a}{{ad - bc}}}\end{aligned}} \right)\)

By comparing with\(\left( {\begin{aligned}{*{20}{c}}I&{{A^{ - 1}}}\end{aligned}} \right)\), you get\({A^{ - 1}} = \left( {\begin{aligned}{*{20}{c}}{\frac{d}{{ad - bc}}}&{ - \frac{b}{{ad - bc}}}\\{ - \frac{c}{{ad - bc}}}&{\frac{a}{{ad - bc}}}\end{aligned}} \right)\), or\({A^{ - 1}} = \frac{1}{{ad - bc}}\left( {\begin{aligned}{*{20}{c}}d&{ - b}\\{ - c}&a\end{aligned}} \right)\).

Thus, theinverseof matrix is \({A^{ - 1}} = \frac{1}{{ad - bc}}\left( {\begin{aligned}{*{20}{c}}d&{ - b}\\{ - c}&a\end{aligned}} \right)\) if \(ad - bc \ne 0\).

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Most popular questions from this chapter

Assume \(A - s{I_n}\) is invertible and view (8) as a system of two matrix equations. Solve the top equation for \({\bf{x}}\) and substitute into the bottom equation. The result is an equation of the form \(W\left( s \right){\bf{u}} = {\bf{y}}\), where \(W\left( s \right)\) is a matrix that depends upon \(s\). \(W\left( s \right)\) is called the transfer function of the system because it transforms the input \({\bf{u}}\) into the output \({\bf{y}}\). Find \(W\left( s \right)\) and describe how it is related to the partitioned system matrix on the left side of (8). See Exercise 15.

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

15. a. If A and B are \({\bf{2}} \times {\bf{2}}\) with columns \({{\bf{a}}_1},{{\bf{a}}_2}\) and \({{\bf{b}}_1},{{\bf{b}}_2}\) respectively, then \(AB = \left( {\begin{aligned}{*{20}{c}}{{{\bf{a}}_1}{{\bf{b}}_1}}&{{{\bf{a}}_2}{{\bf{b}}_2}}\end{aligned}} \right)\).

b. Each column of ABis a linear combination of the columns of Busing weights from the corresponding column of A.

c. \(AB + AC = A\left( {B + C} \right)\)

d. \({A^T} + {B^T} = {\left( {A + B} \right)^T}\)

e. The transpose of a product of matrices equals the product of their transposes in the same order.

Let \(A = \left[ {\begin{array}{*{20}{c}}B&{\bf{0}}\\{\bf{0}}&C\end{array}} \right]\), where \(B\) and \(C\) are square. Show that \(A\)is invertible if an only if both \(B\) and \(C\) are invertible.

Prove Theorem 2(b) and 2(c). Use the row-column rule. The \(\left( {i,j} \right)\)- entry in \(A\left( {B + C} \right)\) can be written as \({a_{i1}}\left( {{b_{1j}} + {c_{1j}}} \right) + ... + {a_{in}}\left( {{b_{nj}} + {c_{nj}}} \right)\) or \(\sum\limits_{k = 1}^n {{a_{ik}}\left( {{b_{kj}} + {c_{kj}}} \right)} \).

Suppose the second column of Bis all zeros. What can you

say about the second column of AB?

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