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In exercise 5 and 6, compute the product \(AB\) in two ways: (a) by the definition, where \(A{b_{\bf{1}}}\) and \(A{b_{\bf{2}}}\) are computed separately, and (b) by the row-column rule for computing \(AB\).

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

Short Answer

Expert verified

\(\left( {\begin{aligned}{*{20}{c}}0&{14}\\{ - 3}&{ - 9}\\{13}&4\end{aligned}} \right)\)

Step by step solution

01

Find the value of \(A{b_{\bf{1}}}\)

Multiply matrix \(A\) with the first column of matrix \(B\).

\(\begin{aligned}{c}A{b_1} = \left( {\begin{aligned}{*{20}{c}}4&{ - 2}\\{ - 3}&0\\3&5\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1\\2\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{4 \times 1 + \left( { - 2} \right) \times 2}\\{\left( { - 3} \right) \times 1 + 0}\\{3 \times 1 + 5 \times 2}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}0\\{ - 3}\\{13}\end{aligned}} \right)\end{aligned}\)

02

Find the value of \(A{b_{\bf{2}}}\)

Multiply matrix \(A\) with the second column of matrix \(B\).

\(\begin{aligned}{c}A{b_2} = \left( {\begin{aligned}{*{20}{c}}4&{ - 2}\\{ - 3}&0\\3&5\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}3\\{ - 1}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{4 \times 3 + \left( { - 2} \right) \times \left( { - 1} \right)}\\{\left( { - 3} \right) \times 3 + 0}\\{3 \times 3 + 5 \times \left( { - 1} \right)}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{14}\\{ - 9}\\4\end{aligned}} \right)\end{aligned}\)

03

Write the product \(AB\)

The product \(AB\) can be written as follows:

\(\begin{aligned}{c}AB = \left( {\begin{aligned}{*{20}{c}}{A{b_1}}&{A{b_2}}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}0&{14}\\{ - 3}&{ - 9}\\{13}&4\end{aligned}} \right)\end{aligned}\)

04

Find the product \(AB\) using row-column rule

\(\begin{aligned}{c}AB = \left( {\begin{aligned}{*{20}{c}}4&{ - 2}\\{ - 3}&0\\3&5\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&3\\2&{ - 1}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{4 \times 1 + \left( { - 2} \right) \times 2}&{4 \times 3 + \left( { - 2} \right) \times \left( { - 1} \right)}\\{\left( { - 3} \right) \times 1 + 0}&{\left( { - 3} \right) \times 3 + 0}\\{3 \times 1 + 5 \times 2}&{3 \times 3 + 5 \times \left( { - 1} \right)}\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}0&{14}\\{ - 3}&{ - 9}\\{13}&4\end{aligned}} \right)\end{aligned}\)

So, \(AB = \left( {\begin{aligned}{*{20}{c}}0&{14}\\{ - 3}&{ - 9}\\{13}&4\end{aligned}} \right)\).

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Most popular questions from this chapter

Let T be a linear transformation that maps \({\mathbb{R}^n}\) onto \({\mathbb{R}^n}\). Is \({T^{ - 1}}\) also one-to-one?

Exercises 9–12 display a matrix Aand an echelon form of A. Find bases for Col Aand Nul A, and then state the dimensions of these subspaces.

\(A = \left[ {\begin{array}{*{20}{c}}1&2&{ - 4}&3&3\\5&{10}&{ - 9}&{ - 7}&8\\4&8&{ - 9}&{ - 2}&7\\{ - 2}&{ - 4}&5&0&{ - 6}\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&2&{ - 4}&3&3\\0&0&1&{ - 2}&0\\0&0&0&0&{ - 5}\\0&0&0&0&0\end{array}} \right]\)a

Solve the equation \(AB = BC\) for A, assuming that A, B, and C are square and Bis invertible.

The solution to the steady-state heat flow problem for
the plate in the figure is approximated by the solution to the
equation\(A{\bf{x}} = {\bf{b}}\);where\(b = \left( {5,15,0,10,0,10,20,30} \right)\)and

\(A = \left[ {\begin{array}{*{20}{c}}4&{ - 1}&{ - 1}&{}&{}&{}&{}&{}\\{ - 1}&4&0&{ - 1}&{}&{}&{}&{}\\{ - 1}&0&4&{ - 1}&{ - 1}&{}&{}&{}\\{}&{ - 1}&{ - 1}&4&0&{ - 1}&{}&{}\\{}&{}&{ - 1}&0&4&{ - 1}&{ - 1}&{}\\{}&{}&{}&{ - 1}&{ - 1}&4&0&{ - 1}\\{}&{}&{}&{}&{ - 1}&0&4&{ - 1}\\{}&{}&{}&{}&{}&{ - 1}&{ - 1}&4\end{array}} \right]\)

(Refer to Exercise 33 of Section 1.1.) The missing entries in Aare zeros. The nonzero entries of A lie within a band along the main diagonal. Such band matricesoccur in a variety of applications and often are extremely large (with thousands of rows and columns but relatively narrow bands).

  1. Use the method of Example 2 to construct an LU factorization of A, and note that both factors are band matrices (with two nonzero diagonals below or above the main diagonal). Compute \(LU - A\) to check your work.
  1. Use the LU factorization to solve\(A{\bf{x}} = {\bf{b}}\).
  1. Obtain \({A^{ - {\bf{1}}}}\) and note that\({A^{ - {\bf{1}}}}\) is a dense matrix with no
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Suppose A is invertible. Explain why \({A^T}A\) is also invertible. Then show that \({A^{ - {\bf{1}}}} = {\left( {{A^T}A} \right)^{ - {\bf{1}}}}{A^T}\).

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