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.

Short Answer

Expert verified

The matrix is \(B = \left( {\begin{aligned}{*{20}{c}}2&6\\1&3\end{aligned}} \right)\).

Step by step solution

01

Definition of matrix multiplication

Consider two matrices P and Q of order\(m \times n\)and\(n \times p\), respectively. The order of the product PQ matrix is\(m \times p\).

Let\({{\bf{q}}_1},{{\bf{q}}_2},...,{{\bf{q}}_n}\)be the columns of the matrix Q. Then, the product PQ is obtained as shown below:

\(\begin{aligned}{c}PQ = P\left( {\begin{aligned}{*{20}{c}}{{{\bf{q}}_1}}&{{{\bf{q}}_2}}& \cdots &{{{\bf{q}}_n}}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{P{{\bf{q}}_1}}&{P{{\bf{q}}_2}}& \cdots &{P{{\bf{q}}_n}}\end{aligned}} \right)\end{aligned}\)

02

Construct a \({\bf{2}} \times {\bf{2}}\) matrix

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

It is given thatABis the zero matrix. So,\(AB = 0\).

Obtain the product of\(A = \left( {\begin{aligned}{*{20}{c}}3&{ - 6}\\{ - 1}&2\end{aligned}} \right)\)and\(B = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\)as shown below:

\(\begin{aligned}{c}AB = \left( {\begin{aligned}{*{20}{c}}3&{ - 6}\\{ - 1}&2\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{3a - 6c}&{3b - 6d}\\{ - a + 2c}&{ - b + 2d}\end{aligned}} \right)\end{aligned}\)

Put\(AB = 0\)as shown below:

\(\left( {\begin{aligned}{*{20}{c}}{3a - 6c}&{3b - 6d}\\{ - a + 2c}&{ - b + 2d}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0&0\\0&0\end{aligned}} \right)\)

03

Obtain the \({\bf{2}} \times {\bf{2}}\) matrix

Compare the equations in the matrix equation\(\left( {\begin{aligned}{*{20}{c}}{3a - 6c}&{3b - 6d}\\{ - a + 2c}&{ - b + 2d}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0&0\\0&0\end{aligned}} \right)\)as shown below:

\(\begin{aligned}{c}3a - 6c = 0\\3b - 6d = 0\\ - a + 2c = 0\\ - b + 2d = 0\end{aligned}\)

Let the value of\(a = 2\)and\(b = 6\). Then, the value of\(c\)and\(d\)are shown below:

\(\begin{aligned}{c} - \left( 2 \right) + 2c = 0\\2c = 2\\c = 1\end{aligned}\)

And the value of d is shown below:

\(\begin{aligned}{c} - \left( 6 \right) + 2d = 0\\2d = 6\\d = 3\end{aligned}\)

Now, substitute all the values \(a = 2\),\(b = 6\),\(c = 1\), and \(d = 3\) in the matrix. \(B = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\).

\(B = \left( {\begin{aligned}{*{20}{c}}2&6\\1&3\end{aligned}} \right)\)

Also, the columns of\(B\)are nonzero.

Thus, matrix \(B = \left( {\begin{aligned}{*{20}{c}}2&6\\1&3\end{aligned}} \right)\).

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Most popular questions from this chapter

Let \(X\) be \(m \times n\) data matrix such that \({X^T}X\) is invertible., and let \(M = {I_m} - X{\left( {{X^T}X} \right)^{ - {\bf{1}}}}{X^T}\). Add a column \({x_{\bf{0}}}\) to the data and form

\(W = \left[ {\begin{array}{*{20}{c}}X&{{x_{\bf{0}}}}\end{array}} \right]\)

Compute \({W^T}W\). The \(\left( {{\bf{1}},{\bf{1}}} \right)\) entry is \({X^T}X\). Show that the Schur complement (Exercise 15) of \({X^T}X\) can be written in the form \({\bf{x}}_{\bf{0}}^TM{{\bf{x}}_{\bf{0}}}\). It can be shown that the quantity \({\left( {{\bf{x}}_{\bf{0}}^TM{{\bf{x}}_{\bf{0}}}} \right)^{ - {\bf{1}}}}\) is the \(\left( {{\bf{2}},{\bf{2}}} \right)\)-entry in \({\left( {{W^T}W} \right)^{ - {\bf{1}}}}\). This entry has a useful statistical interpretation, under appropriate hypotheses.

In the study of engineering control of physical systems, a standard set of differential equations is transformed by Laplace transforms into the following system of linear equations:

\(\left[ {\begin{array}{*{20}{c}}{A - s{I_n}}&B\\C&{{I_m}}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{\bf{x}}\\{\bf{u}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{\bf{0}}\\{\bf{y}}\end{array}} \right]\)

Where \(A\) is \(n \times n\), \(B\) is \(n \times m\), \(C\) is \(m \times n\), and \(s\) is a variable. The vector \({\bf{u}}\) in \({\mathbb{R}^m}\) is the “input” to the system, \({\bf{y}}\) in \({\mathbb{R}^m}\) is the “output” and \({\bf{x}}\) in \({\mathbb{R}^n}\) is the “state” vector. (Actually, the vectors \({\bf{x}}\), \({\bf{u}}\) and \({\bf{v}}\) are functions of \(s\), but we suppress this fact because it does not affect the algebraic calculations in Exercises 19 and 20.)

In Exercises 1 and 2, compute each matrix sum or product if it is defined. If an expression is undefined, explain why. Let

\(A = \left( {\begin{aligned}{*{20}{c}}2&0&{ - 1}\\4&{ - 5}&2\end{aligned}} \right)\), \(B = \left( {\begin{aligned}{*{20}{c}}7&{ - 5}&1\\1&{ - 4}&{ - 3}\end{aligned}} \right)\), \(C = \left( {\begin{aligned}{*{20}{c}}1&2\\{ - 2}&1\end{aligned}} \right)\), \(D = \left( {\begin{aligned}{*{20}{c}}3&5\\{ - 1}&4\end{aligned}} \right)\) and \(E = \left( {\begin{aligned}{*{20}{c}}{ - 5}\\3\end{aligned}} \right)\)

\( - 2A\), \(B - 2A\), \(AC\), \(CD\).

In Exercise 9 mark each statement True or False. Justify each answer.

9. a. In order for a matrix B to be the inverse of A, both equations \(AB = I\) and \(BA = I\) must be true.

b. If A and B are \(n \times n\) and invertible, then \({A^{ - {\bf{1}}}}{B^{ - {\bf{1}}}}\) is the inverse of \(AB\).

c. If \(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\) and \(ab - cd \ne {\bf{0}}\), then A is invertible.

d. If A is an invertible \(n \times n\) matrix, then the equation \(Ax = b\) is consistent for each b in \({\mathbb{R}^{\bf{n}}}\).

e. Each elementary matrix is invertible.

If \(A = \left( {\begin{aligned}{*{20}{c}}1&{ - 2}\\{ - 2}&5\end{aligned}} \right)\) and \(AB = \left( {\begin{aligned}{*{20}{c}}{ - 1}&2&{ - 1}\\6&{ - 9}&3\end{aligned}} \right)\), determine the first and second column of B.

Prove the Theorem 3(d) i.e., \({\left( {AB} \right)^T} = {B^T}{A^T}\).

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