In Exercises 5–8, determine if the columns of the matrix form a

linearly independent set. Justify each answer.

5. \(\left[ {\begin{array}{*{20}{c}}0&{ - 8}&5\\3&{ - 7}&4\\{ - 1}&5&{ - 4}\\1&{ - 3}&2\end{array}} \right]\)

Short Answer

Expert verified

The columns are linearly independent.

Step by step solution

01

Write the condition for the linear independence of the columns of the matrix

The vectors are said to be linearly independent if the equation \(A{\bf{x}} = 0\) has a trivial solution, where A is the matrix and xis the vector.

02

Write the matrix in the augmented form

Consider the matrix \(\left[ {\begin{array}{*{20}{c}}0&{ - 8}&5\\3&{ - 7}&4\\{ - 1}&5&{ - 4}\\1&{ - 3}&2\end{array}} \right]\). As there are three columns in the matrix, there should be three entries in the vector.

Thus, the matrix equation is \(\left[ {\begin{array}{*{20}{c}}0&{ - 8}&5\\3&{ - 7}&4\\{ - 1}&5&{ - 4}\\1&{ - 3}&2\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right]\), and it is in \(A{\bf{x}} = {\bf{0}}\) form.

Write the augmented matrix \(\left[ {\begin{array}{*{20}{c}}A&{\bf{0}}\end{array}} \right]\) as shown below:

\(\left[ {\begin{array}{*{20}{c}}0&{ - 8}&5&0\\3&{ - 7}&4&0\\{ - 1}&5&{ - 4}&0\\1&{ - 3}&2&0\end{array}} \right]\)

03

Convert the augmented matrix in the echelon form

In the echelon form, at the top of the left-most column, the leading entry should be non-zero.

Interchange rows one and four.

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

Add \( - 3\) times row one to row two to eliminate the \(3{x_1}\) term from the second equation. Add rows one and three to eliminate the \({x_1}\) term from the third equation.

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

Add \( - 1\) time row two to row three to eliminate the \( - {x_1}\) term from the third equation. Add \( - 4\) times row two to row four to eliminate the \( - 8{x_2}\) term from the fourth equation. Interchange rows three and four.

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

Multiply row two by \(\frac{1}{2}\) and row three by \( - \frac{1}{3}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&2&0\\0&1&0&0\\0&0&1&0\\0&0&0&0\end{array}} \right]\)

Add \( - 2\) times row three to row one to eliminate the \(2{x_3}\) term from the first equation.

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

04

Mark the pivot positions in the matrix

Mark the non-zero leading entries in columns 1, 2 and 3.

05

Check for the linear independence of the matrix

According to the pivot positions in the obtained matrix, there are no free variables.

Thus, the homogeneous equation has a trivial solution (only one solution of the equation), which means the vectors are linearly independent.

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Most popular questions from this chapter

Suppose \({{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3}\) are distinct points on one line in \({\mathbb{R}^3}\). The line need not pass through the origin. Show that \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3}} \right\}\) is linearly dependent.

In Exercises 10, write a vector equation that is equivalent tothe given system of equations.

10. \(4{x_1} + {x_2} + 3{x_3} = 9\)

\(\begin{array}{c}{x_1} - 7{x_2} - 2{x_3} = 2\\8{x_1} + 6{x_2} - 5{x_3} = 15\end{array}\)

Describe the possible echelon forms of the matrix A. Use the notation of Example 1 in Section 1.2.

a. A is a \({\bf{2}} \times {\bf{3}}\) matrix whose columns span \({\mathbb{R}^{\bf{2}}}\).

b. A is a \({\bf{3}} \times {\bf{3}}\) matrix whose columns span \({\mathbb{R}^{\bf{3}}}\).

Find the general solutions of the systems whose augmented matrices are given as

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

Consider the problem of determining whether the following system of equations is consistent for all \({b_1},{b_2},{b_3}\):

\(\begin{aligned}{c}{\bf{2}}{x_1} - {\bf{4}}{x_2} - {\bf{2}}{x_3} = {b_1}\\ - {\bf{5}}{x_1} + {x_2} + {x_3} = {b_2}\\{\bf{7}}{x_1} - {\bf{5}}{x_2} - {\bf{3}}{x_3} = {b_3}\end{aligned}\)

  1. Define appropriate vectors, and restate the problem in terms of Span \(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2},{{\bf{v}}_3}} \right\}\). Then solve that problem.
  1. Define an appropriate matrix, and restate the problem using the phrase “columns of A.”
  1. Define an appropriate linear transformation T using the matrix in (b), and restate the problem in terms of T.
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