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

25. Show that if \(ad - bc = {\bf{0}}\), then the equation \(A{\bf{x}} = {\bf{0}}\) arhas more than one solution. Why does this imply that Ais not invertible? (Hint:First, consider \(a = b = {\bf{0}}\). Then, if aand bare not both zero, consider the vector \(x = \left( {\begin{aligned}{*{20}{c}}{ - b}\\a\end{aligned}} \right)\).)

Short Answer

Expert verified

Matrix A is not invertible because the solution set isnot unique.

Step by step solution

01

Check whether A is invertible or not

The matrix equation can be represented as shown below:

\(\begin{aligned}{c}A{\bf{x}} = 0\\\left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{x_1}}\\{{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\end{aligned}} \right)\end{aligned}\)

It is given that\(ad - bc = 0\). For the equation\(A{\bf{x}} = 0\), consider the case when\(a = b = 0\). Then, the equation becomes

\(\begin{aligned}{c}\left( {\begin{aligned}{*{20}{c}}0&0\\c&d\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{x_1}}\\{{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\end{aligned}} \right)\\\left( {\begin{aligned}{*{20}{c}}0\\{c{x_1} + d{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\end{aligned}} \right)\end{aligned}\).

So,\(c{x_1} + d{x_2} = 0\). It is observed that \({x_2} = - \frac{{c{x_1}}}{d}\). It means, for \({x_1} = d\), the value is \({x_2} = - c\).

In this case, the solution set is \({\bf{x}} = \left( {\begin{aligned}{*{20}{c}}d\\{ - c}\end{aligned}} \right)\).

The columns are linearly independent because one column is a scalar multiple of other columns.

02

Check whether ­A is invertible or not

Now, consider the case when all the entries are non-zero, that is,\(a \ne 0\),\(b \ne 0\),\(c \ne 0\), and\(d \ne 0\).

The equation becomes as shown below:

\(\begin{aligned}{c}A{\bf{x}} = 0\\\left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{x_1}}\\{{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\end{aligned}} \right)\end{aligned}\)

Let,\(\left( {\begin{aligned}{*{20}{c}}{{x_1}}\\{{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}{ - b}\\a\end{aligned}} \right)\).

It can be represented as shown below:

\(\begin{aligned}{c}A{\bf{x}} = 0\\\left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{ - b}\\a\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\end{aligned}} \right)\\\left( {\begin{aligned}{*{20}{c}}{ - ab + ab}\\{ - bc + ad}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\end{aligned}} \right)\end{aligned}\)

As\( - bc + ad = 0\), x has anon-trivial solution in the equation \(A{\bf{x}} = 0\).

03

State whether ­A is invertible or not

From the above cases, the equation \(A{\bf{x}} = 0\)does not have a unique solution (more than one solution).

According to theorem 5, the matrix can't be invertible for more than one solution.

Thus, A isnot invertible.

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Most popular questions from this chapter

Let \(A = \left( {\begin{aligned}{*{20}{c}}3&{ - 6}\\{ - 1}&2\end{aligned}} \right)\). Construct a \({\bf{2}} \times {\bf{2}}\) matrix Bsuch that ABis the zero matrix. Use two different nonzero columns for B.

2. Find the inverse of the matrix \(\left( {\begin{aligned}{*{20}{c}}{\bf{3}}&{\bf{2}}\\{\bf{7}}&{\bf{4}}\end{aligned}} \right)\).

Suppose Ais an \(m \times n\) matrix and there exist \(n \times m\) matrices C and D such that \(CA = {I_n}\) and \(AD = {I_m}\). Prove that \(m = n\) and \(C = D\). (Hint: Think about the product CAD.)

Suppose the last column of ABis entirely zero but Bitself has no column of zeros. What can you sayaboutthe columns of A?

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{2}}\\{\bf{5}}&{{\bf{12}}}\end{aligned}} \right),{b_{\bf{1}}} = \left( {\begin{aligned}{*{20}{c}}{ - {\bf{1}}}\\{\bf{3}}\end{aligned}} \right),{b_{\bf{2}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{1}}\\{ - {\bf{5}}}\end{aligned}} \right),{b_{\bf{3}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}\\{\bf{6}}\end{aligned}} \right),\) and \({b_{\bf{4}}} = \left( {\begin{aligned}{*{20}{c}}{\bf{3}}\\{\bf{5}}\end{aligned}} \right)\).

  1. Find \({A^{ - {\bf{1}}}}\), and use it to solve the four equations \(Ax = {b_{\bf{1}}},\)\(Ax = {b_2},\)\(Ax = {b_{\bf{3}}},\)\(Ax = {b_{\bf{4}}}\)\(\)
  2. The four equations in part (a) can be solved by the same set of row operations, since the coefficient matrix is the same in each case. Solve the four equations in part (a) by row reducing the augmented matrix \(\left( {\begin{aligned}{*{20}{c}}A&{{b_{\bf{1}}}}&{{b_{\bf{2}}}}&{{b_{\bf{3}}}}&{{b_{\bf{4}}}}\end{aligned}} \right)\).
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