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Determine which sets in Exercises 15-20 are bases for \({\mathbb{R}^{\bf{2}}}\) and \({\mathbb{R}^{\bf{3}}}\). Justify each answer.

\(\left[ {\begin{array}{*{20}{c}}{\bf{0}}\\{\bf{1}}\\{ - {\bf{2}}}\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}{\bf{5}}\\{ - {\bf{7}}}\\{\bf{4}}\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}{\bf{6}}\\{\bf{3}}\\{\bf{5}}\end{array}} \right]\)

Short Answer

Expert verified

The vectors are the basis for \({\mathbb{R}^3}\).

Step by step solution

01

Form a matrix using the given column vectors

The matrix formed using the column vectors is

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

02

Reduce matrix \(A\) to the upper triangular form

Interchange rows 1 and 2, i.e., \({R_1} \leftrightarrow {R_2}\).

\(\left[ {\begin{array}{*{20}{c}}1&{ - 7}&3\\0&5&6\\{ - 2}&4&5\end{array}} \right]\)

At row 3, multiply row 1 by 2 and add it to row 3, i.e., \({R_3} \to {R_3} + 2{R_1}\).

\(\left[ {\begin{array}{*{20}{c}}1&{ - 7}&3\\0&5&6\\0&{ - 10}&{11}\end{array}} \right]\)

At row 3, multiply row 2 by 2 and add it to row 3, i.e., \({R_3} \to {R_3} + 2{R_2}\).

\(\left[ {\begin{array}{*{20}{c}}1&{ - 7}&3\\0&5&6\\0&0&{23}\end{array}} \right]\)

03

Analyze the upper triangular matrix

The matrix has three pivots. So, A is invertible, and its column forms a basis for \({\mathbb{R}^3}\).

So, the vectors are the basis for \({\mathbb{R}^3}\).

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Most popular questions from this chapter

Suppose P is invertible and \(A = PB{P^{ - 1}}\). Solve for Bin terms of A.

In Exercises 1–9, assume that the matrices are partitioned conformably for block multiplication. Compute the products shown in Exercises 1–4.

4. \[\left[ {\begin{array}{*{20}{c}}I&0\\{ - X}&I\end{array}} \right]\left[ {\begin{array}{*{20}{c}}A&B\\C&D\end{array}} \right]\]

In Exercise 10 mark each statement True or False. Justify each answer.

10. a. A product of invertible \(n \times n\) matrices is invertible, and the inverse of the product of their inverses in the same order.

b. If A is invertible, then the inverse of \({A^{ - {\bf{1}}}}\) is A itself.

c. If \(A = \left( {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right)\) and \(ad = bc\), then A is not invertible.

d. If A can be row reduced to the identity matrix, then A must be invertible.

e. If A is invertible, then elementary row operations that reduce A to the identity \({I_n}\) also reduce \({A^{ - {\bf{1}}}}\) to \({I_n}\).

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 \(B \ne C\).

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

16. a. If A and B are \({\bf{3}} \times {\bf{3}}\) and \(B = \left( {\begin{aligned}{*{20}{c}}{{{\bf{b}}_1}}&{{{\bf{b}}_2}}&{{{\bf{b}}_3}}\end{aligned}} \right)\), then \(AB = \left( {A{{\bf{b}}_1} + A{{\bf{b}}_2} + A{{\bf{b}}_3}} \right)\).

b. The second row of ABis the second row of Amultiplied on the right by B.

c. \(\left( {AB} \right)C = \left( {AC} \right)B\)

d. \({\left( {AB} \right)^T} = {A^T}{B^T}\)

e. The transpose of a sum of matrices equals the sum of their transposes.

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