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In Exercises 7-12, describe all solutions of \(Ax = 0\) in parametric vector form, where \(A\) is row equivalent to the given matrix.

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

Short Answer

Expert verified

The solution is parametric vector form is \(\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\\{{x_5}}\\{{x_6}}\end{array}} \right) = {x_2}\left( {\begin{array}{*{20}{c}}4\\1\\0\\0\\0\\0\end{array}} \right) + {x_4}\left( {\begin{array}{*{20}{c}}0\\0\\0\\1\\0\\0\end{array}} \right) + {x_6}\left( {\begin{array}{*{20}{c}}{ - 5}\\0\\1\\0\\4\\1\end{array}} \right)\).

Step by step solution

01

Write the condition for the product of a vector and a matrix

The representation of a column of a matrix is \(A = \left( {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}&{ \cdot \cdot \cdot }&{{a_n}}\end{array}} \right)\), and the representation of a vector is \({\bf{x}} = \left( {\begin{array}{*{20}{c}}{{x_1}}\\ \vdots \\{{x_n}}\end{array}} \right)\).

According to the definition, the entries in vector x reflect the values in a linear combination of columns of matrix A.

And the product obtained using the row-vector rule is shown below.

\(\begin{array}{c}A{\bf{x}} = \left( {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}&{ \cdot \cdot \cdot }&{{a_n}}\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{x_1}}\\ \vdots \\{{x_n}}\end{array}} \right)\\ = {x_1}{a_1} + {x_2}{a_2} + \cdots + {x_n}{a_n}\end{array}\)

The number of columns in matrix \(A\) should be equal to the number of entries in vector x so that \(A{\bf{x}}\) can be defined.

02

Write the augmented matrix in the system of equations

It is given that there are six columns in the given matrix, which means there should be six entries in vector x.

Thus, the equation \(A{\bf{x}} = 0\) can be written as shown below:

\(\begin{array}{c}A{\bf{x}} = 0\\\left( {\begin{array}{*{20}{c}}1&{ - 4}&{ - 2}&0&3&{ - 5}\\0&0&1&0&0&{ - 1}\\0&0&0&0&1&{ - 4}\\0&0&0&0&0&0\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\\{{x_5}}\\{{x_6}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right)\end{array}\)

\(\begin{array}{c}A{\bf{x}} = 0\\\left( {\begin{array}{*{20}{c}}1&{ - 4}&{ - 2}&0&3&{ - 5}\\0&0&1&0&0&{ - 1}\\0&0&0&0&1&{ - 4}\\0&0&0&0&0&0\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\\{{x_5}}\\{{x_6}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right)\end{array}\)

Write the above matrix equation in the system of equations as shown below:

\(\begin{array}{c}{x_1}\left( {\begin{array}{*{20}{c}}1\\0\\0\\0\end{array}} \right) + {x_2}\left( {\begin{array}{*{20}{c}}{ - 4}\\0\\0\\0\end{array}} \right) + {x_3}\left( {\begin{array}{*{20}{c}}{ - 2}\\1\\0\\0\end{array}} \right) + {x_4}\left( {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right) + {x_5}\left( {\begin{array}{*{20}{c}}3\\0\\1\\0\end{array}} \right) + {x_6}\left( {\begin{array}{*{20}{c}}{ - 5}\\{ - 1}\\{ - 4}\\0\end{array}} \right) = \left( {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right)\\\left( {\begin{array}{*{20}{c}}{{x_1} - 4{x_2} - 2{x_3} + \left( 0 \right){x_4} + 3{x_5} - 5{x_6}}\\{\left( 0 \right){x_1} + \left( 0 \right){x_2} + {x_3} + \left( 0 \right){x_4} + \left( 0 \right){x_5} - {x_6}}\\{\left( 0 \right){x_1} + \left( 0 \right){x_2} + \left( 0 \right){x_3} + \left( 0 \right){x_4} + {x_5} - 4{x_6}}\\{\left( 0 \right){x_1} + \left( 0 \right){x_2} + \left( 0 \right){x_3} + \left( 0 \right){x_4} + \left( 0 \right){x_5} + \left( 0 \right){x_6}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}0\\0\\0\\0\end{array}} \right)\end{array}\)

So, the system of equations becomes:

\(\begin{array}{c}{x_1} - 4{x_2} - 2{x_3} + 3{x_5} - 5{x_6} = 0\\{x_3} - {x_6} = 0\\{x_5} - 4{x_6} = 0.\end{array}\)

03

Separate the variables into free and basic types

From the above equations, \({x_1}\), \({x_3}\), and \({x_5}\) correspond to the pivot positions. So, \({x_1}\), \({x_3}\), \({x_5}\) are basic variables, and \({x_2}\), \({x_4}\), \({x_6}\) are the free variables.

Let \({x_2} = a\), \({x_4} = b\), \({x_6} = c\).

04

Obtain the values of basic variables in parametric forms

Substitute \({x_6} = c\) in the equation \({x_5} - 4{x_6} = 0\) to obtain the general solution.

\(\begin{array}{c}{x_5} - 4\left( c \right) = 0\\{x_5} = 4c\end{array}\)

Substitute \({x_6} = c\) in the equation \({x_3} - {x_6} = 0\) to obtain the general solution.

\(\begin{array}{c}{x_3} - \left( c \right) = 0\\{x_3} = c\end{array}\)

Substitute \({x_2} = a\) and \({x_6} = c\) in the equation \({x_1} - 4{x_2} - 2{x_3} + 3{x_5} - 5{x_6} = 0\) to obtain the general solution.

\(\begin{array}{c}{x_1} - 4\left( a \right) - 2\left( c \right) + 3\left( {4c} \right) - 5\left( c \right) = 0\\{x_1} - 4a - 2c + 12c - 5c = 0\\{x_1} = 4a - 5c\end{array}\)

05

Write the solution in the parametric form

Obtain the vector in the parametric form by using \({x_1} = 4a - 5c\), \({x_2} = a\), \({x_3} = c\), \({x_4} = b\), \({x_5} = 4c\) and \({x_6} = c\).

\(\begin{array}{c}\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\\{{x_5}}\\{{x_6}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}{4a - 5c}\\a\\c\\b\\{4c}\\c\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{4a}\\a\\0\\0\\0\\0\end{array}} \right) + \left( {\begin{array}{*{20}{c}}0\\0\\0\\b\\0\\0\end{array}} \right) + \left( {\begin{array}{*{20}{c}}{ - 5c}\\0\\c\\0\\{4c}\\c\end{array}} \right)\\ = a\left( {\begin{array}{*{20}{c}}4\\1\\0\\0\\0\\0\end{array}} \right) + b\left( {\begin{array}{*{20}{c}}0\\0\\0\\1\\0\\0\end{array}} \right) + c\left( {\begin{array}{*{20}{c}}{ - 5}\\0\\1\\0\\4\\1\end{array}} \right)\end{array}\)

Or it can be written as shown below:

\(\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\\{{x_5}}\\{{x_6}}\end{array}} \right) = {x_2}\left( {\begin{array}{*{20}{c}}4\\1\\0\\0\\0\\0\end{array}} \right) + {x_4}\left( {\begin{array}{*{20}{c}}0\\0\\0\\1\\0\\0\end{array}} \right) + {x_6}\left( {\begin{array}{*{20}{c}}{ - 5}\\0\\1\\0\\4\\1\end{array}} \right)\)

Thus, the solution in the parametric vector form is \(\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\\{{x_5}}\\{{x_6}}\end{array}} \right) = {x_2}\left( {\begin{array}{*{20}{c}}4\\1\\0\\0\\0\\0\end{array}} \right) + {x_4}\left( {\begin{array}{*{20}{c}}0\\0\\0\\1\\0\\0\end{array}} \right) + {x_6}\left( {\begin{array}{*{20}{c}}{ - 5}\\0\\1\\0\\4\\1\end{array}} \right)\).

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Most popular questions from this chapter

Write the vector \(\left( {\begin{array}{*{20}{c}}5\\6\end{array}} \right)\) as the sum of two vectors, one on the line \(\left\{ {\left( {x,y} \right):y = {\bf{2}}x} \right\}\) and one on the line \(\left\{ {\left( {x,y} \right):y = x/{\bf{2}}} \right\}\).

In Exercise 23 and 24, make each statement True or False. Justify each answer.

23.

a. Another notation for the vector \(\left[ {\begin{array}{*{20}{c}}{ - 4}\\3\end{array}} \right]\) is \(\left[ {\begin{array}{*{20}{c}}{ - 4}&3\end{array}} \right]\).

b. The points in the plane corresponding to \(\left[ {\begin{array}{*{20}{c}}{ - 2}\\5\end{array}} \right]\) and \(\left[ {\begin{array}{*{20}{c}}{ - 5}\\2\end{array}} \right]\) lie on a line through the origin.

c. An example of a linear combination of vectors \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\) is the vector \(\frac{1}{2}{{\mathop{\rm v}\nolimits} _1}\).

d. The solution set of the linear system whose augmented matrix is \(\left[ {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}&{{a_3}}&b\end{array}} \right]\) is the same as the solution set of the equation\({{\mathop{\rm x}\nolimits} _1}{a_1} + {x_2}{a_2} + {x_3}{a_3} = b\).

e. The set Span \(\left\{ {u,v} \right\}\) is always visualized as a plane through the origin.

Use the accompanying figure to write each vector listed in Exercises 7 and 8 as a linear combination of u and v. Is every vector in \({\mathbb{R}^2}\) a linear combination of u and v?

7.Vectors a, b, c, and d

Use the accompanying figure to write each vector listed in Exercises 7 and 8 as a linear combination of u and v. Is every vector in \({\mathbb{R}^2}\) a linear combination of u and v?

8.Vectors w, x, y, and z

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.

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