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

linearly independent set. Justify each answer.

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

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 \(\left[ {\begin{array}{*{20}{c}}{ - 4}&{ - 3}&0\\0&{ - 1}&4\\1&0&3\\5&4&6\end{array}} \right]\).Asthe matrix has three columns, there should be three entries in the vector.

Thus, the matrix equation is \(\left[ {\begin{array}{*{20}{c}}{ - 4}&{ - 3}&0\\0&{ - 1}&4\\1&0&3\\5&4&6\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right]\), 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:

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

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 three.

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

Add 4 times row one to row three to eliminate the \( - 4{x_1}\) term from the third equation. Add \( - 5\) times row one to row four to eliminate the \(5{x_1}\) term from the fourth equation.

\(\left[ {\begin{array}{*{20}{c}}1&0&3&0\\0&{ - 1}&4&0\\{ - 4}&{ - 3}&0&0\\5&4&6&0\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&0&3&0\\0&1&{ - 4}&0\\0&{ - 3}&{12}&0\\0&4&{ - 9}&0\end{array}} \right]\)

Add 3 times row two to row three to eliminate the \( - 3{x_2}\) term from the third equation. Add \( - 4\) times row two to row four to eliminate the \(4{x_2}\) term from the fourth equation. Interchange rows three and four.

\(\left[ {\begin{array}{*{20}{c}}1&0&3&0\\0&{ - 1}&4&0\\0&{ - 3}&{12}&0\\0&4&{ - 9}&0\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&0&3&0\\0&1&{ - 4}&0\\0&0&1&0\\0&0&0&0\end{array}} \right]\)

04

Mark the pivot positions in the matrix

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

05

Check 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


Consider two vectors v1 andv2in R3 that are not parallel.

Which vectors inlocalid="1668167992227" 3are linear combinations ofv1andv2? Describe the set of these vectors geometrically. Include a sketch in your answer.

Suppose an experiment leads to the following system of equations:

\(\begin{aligned}{c}{\bf{4}}.{\bf{5}}{x_{\bf{1}}} + {\bf{3}}.{\bf{1}}{x_{\bf{2}}} = {\bf{19}}.{\bf{249}}\\1.6{x_{\bf{1}}} + 1.1{x_{\bf{2}}} = 6.843\end{aligned}\) (3)

  1. Solve system (3), and then solve system (4), below, in which the data on the right have been rounded to two decimal places. In each case, find the exactsolution.

\(\begin{aligned}{c}{\bf{4}}.{\bf{5}}{x_{\bf{1}}} + {\bf{3}}.{\bf{1}}{x_{\bf{2}}} = {\bf{19}}.{\bf{25}}\\1.6{x_{\bf{1}}} + 1.1{x_{\bf{2}}} = 6.8{\bf{4}}\end{aligned}\) (4)

  1. The entries in (4) differ from those in (3) by less than .05%. Find the percentage error when using the solution of (4) as an approximation for the solution of (3).
  1. Use your matrix program to produce the condition number of the coefficient matrix in (3).

In Exercise 1, compute \(u + v\) and \(u - 2v\).

  1. \(u = \left[ {\begin{array}{*{20}{c}}{ - 1}\\2\end{array}} \right]\), \(v = \left[ {\begin{array}{*{20}{c}}{ - 3}\\{ - 1}\end{array}} \right]\).

In Exercises 5, write a system of equations that is equivalent to the given vector equation.

5. \({x_1}\left[ {\begin{array}{*{20}{c}}6\\{ - 1}\\5\end{array}} \right] + {x_2}\left[ {\begin{array}{*{20}{c}}{ - 3}\\4\\0\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}1\\{ - 7}\\{ - 5}\end{array}} \right]\)

Let \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) be a linear transformation, and suppose \(T\left( u \right) = {\mathop{\rm v}\nolimits} \). Show that \(T\left( { - u} \right) = - {\mathop{\rm v}\nolimits} \).

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