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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

Suppose block matrix \(A\) on the left side of (7) is invertible and \({A_{{\bf{11}}}}\) is invertible. Show that the Schur component \(S\) of \({A_{{\bf{11}}}}\) is invertible. [Hint: The outside factors on the right side of (7) are always invertible. Verify this.] When \(A\) and \({A_{{\bf{11}}}}\) are invertible, (7) leads to a formula for \({A^{ - {\bf{1}}}}\), using \({S^{ - {\bf{1}}}}\) \(A_{{\bf{11}}}^{ - {\bf{1}}}\), and the other entries in \(A\).

Suppose Ais a \(3 \times n\) matrix whose columns span \({\mathbb{R}^3}\). Explain how to construct an \(n \times 3\) matrix Dsuch that \(AD = {I_3}\).

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}&{ - {\bf{3}}}\\{ - {\bf{4}}}&{\bf{6}}\end{aligned}} \right)\) and \(B = \left( {\begin{aligned}{*{20}{c}}{\bf{8}}&{\bf{4}}\\{\bf{5}}&{\bf{5}}\end{aligned}} \right)\) and \(C = \left( {\begin{aligned}{*{20}{c}}{\bf{5}}&{ - {\bf{2}}}\\{\bf{3}}&{\bf{1}}\end{aligned}} \right)\). Verfiy that \(AB = AC\) and yet \(B \ne C\).

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.

A useful way to test new ideas in matrix algebra, or to make conjectures, is to make calculations with matrices selected at random. Checking a property for a few matrices does not prove that the property holds in general, but it makes the property more believable. Also, if the property is actually false, you may discover this when you make a few calculations.

38. Use at least three pairs of random \(4 \times 4\) matrices Aand Bto test the equalities \({\left( {A + B} \right)^T} = {A^T} + {B^T}\) and \({\left( {AB} \right)^T} = {A^T}{B^T}\). (See Exercise 37.) Report your conclusions. (Note:Most matrix programs use \(A'\) for \({A^{\bf{T}}}\).

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