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

Short Answer

Expert verified

Choose one solution of each equation and use it for the columns of D. Thus,\(AD = {I_3}\).

Step by step solution

01

The equation \(AD = {I_3}\) is equal to three equations

\(A\)is a \(m \times n\) matrix. If Bis a \(n \times p\) matrix with columns \({{\mathop{\rm b}\nolimits} _1},...,{{\mathop{\rm b}\nolimits} _p}\), the product ABis the \(m \times p\) matrix whose columns are \(A{{\mathop{\rm b}\nolimits} _1},...,A{{\mathop{\rm b}\nolimits} _p}\). That is, \(AB = A\left( {\begin{aligned}{*{20}{c}}{{b_1}}&{{b_2}}&{{b_3}}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}{A{b_1}}&{A{b_2}}&{A{b_3}}\end{aligned}} \right)\) .

Consider \({I_3} = \left( {\begin{aligned}{*{20}{c}}{{e_1}}&{{e_2}}&{{e_3}}\end{aligned}} \right)\) and \(D = \left( {\begin{aligned}{*{20}{c}}{{d_1}}&{{d_2}}&{{d_3}}\end{aligned}} \right)\). According to the definition of AD, the equation \(AD = {I_3}\) is equivalent to the three equations \(A{d_1} = {e_1}\), \(A{d_2} = {e_2}\), and \(A{d_3} = {e_3}\).

02

Obtain the \(n \times 3\) matrix D such that \(AD = {I_3}\)

Since the columns of Aspan \({\mathbb{R}^3}\), each of these equations has at least one solution. Choose one solution of each equation and use it for the columns of D. Thus, \(AD = {I_3}\).

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Most popular questions from this chapter

Generalize the idea of Exercise 21(a) [not 21(b)] by constructing a \(5 \times 5\) matrix \(M = \left[ {\begin{array}{*{20}{c}}A&0\\C&D\end{array}} \right]\) such that \({M^2} = I\). Make C a nonzero \(2 \times 3\) matrix. Show that your construction works.

Let \({{\bf{r}}_1} \ldots ,{{\bf{r}}_p}\) be vectors in \({\mathbb{R}^{\bf{n}}}\), and let Qbe an\(m \times n\)matrix. Write the matrix\(\left( {\begin{aligned}{*{20}{c}}{Q{{\bf{r}}_1}}& \cdots &{Q{{\bf{r}}_p}}\end{aligned}} \right)\)as a productof two matrices (neither of which is an identity matrix).

Suppose Ais \(n \times n\) and the equation \(A{\bf{x}} = {\bf{0}}\) has only the trivial solution. Explain why Ahas npivot columns and Ais row equivalent to \({I_n}\). By Theorem 7, this shows that Amust be invertible. (This exercise and Exercise 24 will be cited in Section 2.3.)

Suppose \(CA = {I_n}\)(the \(n \times n\) identity matrix). Show that the equation \(Ax = 0\) has only the trivial solution. Explain why Acannot have more columns than rows.

[M] Suppose memory or size restrictions prevent your matrix program from working with matrices having more than 32 rows and 32 columns, and suppose some project involves \(50 \times 50\) matrices A and B. Describe the commands or operations of your program that accomplish the following tasks.

a. Compute \(A + B\)

b. Compute \(AB\)

c. Solve \(Ax = b\) for some vector b in \({\mathbb{R}^{50}}\), assuming that \(A\) can be partitioned into a \(2 \times 2\) block matrix \(\left[ {{A_{ij}}} \right]\), with \({A_{11}}\) an invertible \(20 \times 20\) matrix, \({A_{22}}\) an invertible \(30 \times 30\) matrix, and \({A_{12}}\) a zero matrix. [Hint: Describe appropriate smaller systems to solve, without using any matrix inverse.]

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