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

linearly independent set. Justify each answer.

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

Short Answer

Expert verified

The columns are linearly dependent.

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

Thus, the matrix equation is \(\left[ {\begin{array}{*{20}{c}}1&{ - 3}&3&{ - 2}\\{ - 3}&7&{ - 1}&2\\0&1&{ - 4}&3\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}0\\0\\0\end{array}} \right]\), 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:

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

03

Convert the augmented matrix into the echelon form

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

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

Add \(\frac{1}{2}\) times row two to row three to eliminate the \({x_2}\) term from the third equation.

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

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

In the obtained matrix, there are three pivot positions and four variables.

Thus, the homogeneous equation has a non-trivial solution, which means the vectors are linearly dependent.

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