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

Short Answer

Expert verified

The ijth entry of \({\left( {AB} \right)^T}\) and \({B^T}{A^T}\) is equal. Hence, \({\left( {AB} \right)^T} = {B^T}{A^T}\).

Step by step solution

01

Write the ijth entry of \({\left( {AB} \right)^T}\)

Let A and B be the matrices of sizes \(m \times n\) and \(n \times k\), respectively.

Note that the ijth entry of \({\left( {AB} \right)^T}\) is the jith entry of \(AB\). That is,

\({a_{j1}}{b_{1i}} + {a_{j2}}{b_{2i}} + ... + {a_{jn}}{b_{ni}}\).

02

Write the ijth entry of \({B^T}{A^T}\)

The ith row of \({B^T}\) is \(\left( {\begin{aligned}{*{20}{c}}{{b_{1i}}}&{{b_{2i}}}&{...}&{{b_{ni}}}\end{aligned}} \right)\), and the jth column of \({A^T}\) is \(\left( {\begin{aligned}{*{20}{c}}{{a_{j1}}}\\{{a_{j2}}}\\ \vdots \\{{a_{jn}}}\end{aligned}} \right)\). Then ijth entry of \({B^T}{A^T}\) is \({b_{1i}}{a_{j1}} + {b_{2i}}{a_{j2}} + ... + {b_{ni}}{a_{jn}} = {a_{j1}}{b_{1i}} + {a_{j2}}{b_{2i}} + ... + {a_{jn}}{b_{ni}}\).

03

Draw a conclusion

Hence, the ijth entry of \({\left( {AB} \right)^T}\) and \({B^T}{A^T}\) is equal. This implies, \({\left( {AB} \right)^T} = {B^T}{A^T}\).

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Most popular questions from this chapter

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.

36. Write the command(s) that will create a \(6 \times 4\) matrix with random entries. In what range of numbers do the entries lie? Tell how to create a \(3 \times 3\) matrix with random integer entries between \( - {\bf{9}}\) and 9. (Hint:If xis a random number such that 0 < x < 1, then \( - 9.5 < 19\left( {x - .5} \right) < 9.5\).

3. Find the inverse of the matrix \(\left( {\begin{aligned}{*{20}{c}}{\bf{8}}&{\bf{5}}\\{ - {\bf{7}}}&{ - {\bf{5}}}\end{aligned}} \right)\).

Describe in words what happens when you compute \({A^{\bf{5}}}\), \({A^{{\bf{10}}}}\), \({A^{{\bf{20}}}}\), and \({A^{{\bf{30}}}}\) for \(A = \left( {\begin{aligned}{*{20}{c}}{1/6}&{1/2}&{1/3}\\{1/2}&{1/4}&{1/4}\\{1/3}&{1/4}&{5/12}\end{aligned}} \right)\).

In exercises 11 and 12, mark each statement True or False. Justify each answer.

a. The definition of the matrix-vector product \(A{\bf{x}}\) is a special case of block multiplication.

b. If \({A_{\bf{1}}}\), \({A_{\bf{2}}}\), \({B_{\bf{1}}}\), and \({B_{\bf{2}}}\) are \(n \times n\) matrices, \[A = \left[ {\begin{array}{*{20}{c}}{{A_{\bf{1}}}}\\{{A_{\bf{2}}}}\end{array}} \right]\] and \(B = \left[ {\begin{array}{*{20}{c}}{{B_{\bf{1}}}}&{{B_{\bf{2}}}}\end{array}} \right]\), then the product \(BA\) is defined, but \(AB\) is not.

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