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Question: In Exercises 9 and 10, write the system first as a vector equation

and then as a matrix equation.

9.\(3{x_1} + {x_2} - 5{x_3} = 9\)

\({x_2} + 4{x_3} = 0\)

Short Answer

Expert verified

The system of equations in the vector equation form is\({x_1}\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right) + {x_2}\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right) + {x_3}\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\). The vector equation in the matrix equation form is \(\left( {\begin{array}{*{20}{c}}3&1&{ - 5}\\0&1&4\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\). The system and vector equation have the same solution set as the matrix equation.

Step by step solution

01

Write the system of equations in a single vector

Consider the system of equations as shown below:

\(\begin{array}{c}3{x_1} + {x_2} - 5{x_3} = 9\\{x_2} + 4{x_3} = 0\end{array}\)

Write the left-hand part and right-hand part of the system of equations in the vector form as shown below:

\(\left( {\begin{array}{*{20}{c}}{3{x_1} + {x_2} - 5{x_3}}\\{{x_2} + 4{x_3}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)

02

Separate the left-hand side of the system of equations

The left-hand side of the vector equation contains \(\left( {\begin{array}{*{20}{c}}{3{x_1} + {x_2} - 5{x_3}}\\{{x_2} + 4{x_3}}\end{array}} \right)\). Separate the vector into three different vectors in terms of unknowns \({x_1}\), \({x_2}\), and \({x_3}\).

\(\left( {\begin{array}{*{20}{c}}{3{x_1}}\\{0\left( {{x_1}} \right)}\end{array}} \right) + \left( {\begin{array}{*{20}{c}}{{x_2}}\\{{x_2}}\end{array}} \right) + \left( {\begin{array}{*{20}{c}}{ - 5{x_3}}\\{4{x_3}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)

03

Take the unknowns common from each vector

It is observed that \({x_1}\) is common in the vector \(\left( {\begin{array}{*{20}{c}}{3{x_1}}\\{0\left( {{x_1}} \right)}\end{array}} \right)\). Take \({x_1}\) as the common from the first vector as shown below:

\({x_1}\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right) + \left( {\begin{array}{*{20}{c}}{{x_2}}\\{{x_2}}\end{array}} \right) + \left( {\begin{array}{*{20}{c}}{ - 5{x_3}}\\{4{x_3}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)

Similarly, take \({x_2}\) as the common from the vector \(\left( {\begin{array}{*{20}{c}}{{x_2}}\\{{x_2}}\end{array}} \right)\), and \({x_3}\) as the common from the vector \(\left( {\begin{array}{*{20}{c}}{ - 5{x_3}}\\{4{x_3}}\end{array}} \right)\). Take \({x_2}\) and \({x_3}\) as the common from each vector as shown below:

\({x_1}\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right) + {x_2}\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right) + {x_3}\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)

Thus, the system of equations in the vector equation form is:

\({x_1}\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right) + {x_2}\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right) + {x_3}\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)

04

Obtain the columns of the matrix

Compare the given vector equation form \({x_1}\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right) + {x_2}\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right) + {x_3}\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)with the general equation\({x_1}{a_1} + {x_2}{a_2} + \cdots + {x_n}{a_n} = A{\bf{x}}\)form.

So, \({{\bf{a}}_1} = \left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right)\), \({{\bf{a}}_2} = \left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right)\), \({{\bf{a}}_3} = \left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right)\), \(A{\bf{x}} = b = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\).

It shows that the equation is a linear combination of three vectors \({x_1}\), \({x_2}\), and \({x_3}\).

05

Write matrix Aand vector x

According to the definition,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.

Write matrix A using columns such as\({{\bf{a}}_1} = \left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right)\), \({{\bf{a}}_2} = \left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right)\), and \({{\bf{a}}_3} = \left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right)\), and vector x using entries such as\({x_1}\), \({x_2}\), and \({x_3}\).

So, \(A = \left( {\begin{array}{*{20}{c}}{\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right)}&{\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right)}&{\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right)}\end{array}} \right)\), and \({\bf{x}} = \left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right)\).

06

Write the vector equation into a matrix equation

By using matrix \(A = \left( {\begin{array}{*{20}{c}}{\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right)}&{\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right)}&{\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right)}\end{array}} \right)\) and vector \({\bf{x}} = \left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right)\), the matrix equation can be written as shown below:

\(\left( {\begin{array}{*{20}{c}}3&1&{ - 5}\\0&1&4\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)

Thus, the vector equation \({x_1}\left( {\begin{array}{*{20}{c}}3\\0\end{array}} \right) + {x_2}\left( {\begin{array}{*{20}{c}}1\\1\end{array}} \right) + {x_3}\left( {\begin{array}{*{20}{c}}{ - 5}\\4\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\)can be written as a matrix equation as \(\left( {\begin{array}{*{20}{c}}3&1&{ - 5}\\0&1&4\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{array}} \right) = \left( {\begin{array}{*{20}{c}}9\\0\end{array}} \right)\).

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Most popular questions from this chapter

In Exercises 33 and 34, Tis a linear transformation from \({\mathbb{R}^2}\) into \({\mathbb{R}^2}\). Show that T is invertible and find a formula for \({T^{ - 1}}\).

34. \(T\left( {{x_1},{x_2}} \right) = \left( {6{x_1} - 8{x_2}, - 5{x_1} + 7{x_2}} \right)\)

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.

Suppose Tand Ssatisfy the invertibility equations (1) and (2), where T is a linear transformation. Show directly that Sis a linear transformation. (Hint: Given u, v in \({\mathbb{R}^n}\), let \({\mathop{\rm x}\nolimits} = S\left( {\mathop{\rm u}\nolimits} \right),{\mathop{\rm y}\nolimits} = S\left( {\mathop{\rm v}\nolimits} \right)\). Then \(T\left( {\mathop{\rm x}\nolimits} \right) = {\mathop{\rm u}\nolimits} \), \(T\left( {\mathop{\rm y}\nolimits} \right) = {\mathop{\rm v}\nolimits} \). Why? Apply Sto both sides of the equation \(T\left( {\mathop{\rm x}\nolimits} \right) + T\left( {\mathop{\rm y}\nolimits} \right) = T\left( {{\mathop{\rm x}\nolimits} + y} \right)\). Also, consider \(T\left( {cx} \right) = cT\left( x \right)\).)

The solutions \(\left( {x,y,z} \right)\) of a single linear equation \(ax + by + cz = d\)

form a plane in \({\mathbb{R}^3}\) when a, b, and c are not all zero. Construct sets of three linear equations whose graphs (a) intersect in a single line, (b) intersect in a single point, and (c) have no points in common. Typical graphs are illustrated in the figure.

Three planes intersecting in a line.

(a)

Three planes intersecting in a point.

(b)

Three planes with no intersection.

(c)

Three planes with no intersection.

(cโ€™)

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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