Consider the vectors \({{\bf{v}}_1}\), \({{\bf{v}}_2}\), \({{\bf{v}}_3}\), and \({\bf{b}}\) in \({\mathbb{R}^2}\), shown in the figure. Does the equation \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} = {\bf{b}}\) have a solution? Is the solution unique? Use the figure to explain your answers.

Short Answer

Expert verified

The equation has infinitely many solutions. The solution is not unique.

Step by step solution

01

Define the vectors by using the figure

From the figure, it is observed that vectors \({{\bf{v}}_1}\), \({{\bf{v}}_2}\), \({{\bf{v}}_3}\), and b have the same initial point, i.e., 0 but different final points.

Moreover, it is known that the vectors whose initial points are the same but final points are different are considered non-collinear vectors.

Thus, vectors \({{\bf{v}}_1}\), \({{\bf{v}}_2}\), \({{\bf{v}}_3}\), and b are non-collinear.

02

Write the vector as a linear combination of other vectors

From the figure, the vectors are in \({\mathbb{R}^2}\). Vector b can be written as the linear combination of vectors \({{\bf{v}}_1}\), and \({{\bf{v}}_2}\) (as joining vectors \({{\bf{v}}_1}\), \({{\bf{v}}_2}\), and b forms the vertices of the parallelogram).

Thus, it can be written as shown below:

\({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + \left( 0 \right){{\bf{v}}_3} = {\bf{b}}\)

03

Write the vector as a linear combination of other vectors

From the figure, the vectors are in \({\mathbb{R}^2}\). Vector b can also be written as the linear combination of vectors \({{\bf{v}}_1}\), and \({{\bf{v}}_3}\) (as joining vectors \({{\bf{v}}_1}\), \({{\bf{v}}_3}\), and b forms the vertices of the parallelogram).

Thus, it can be written as shown below:

\({x_1}{{\bf{v}}_1} + \left( 0 \right){{\bf{v}}_2} + {x_3}{{\bf{v}}_3} = {\bf{b}}\)

04

Check the number of solutions

On substituting \({x_1} = 0\), it is observed that the solution is \(\left( {0,{x_1},{x_2}} \right)\), or vice versa.

From the above observations, the equation has more than two solutions, or many solutions.

Thus, the solution cannot be unique, and it has infinitely many solutions.

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Most popular questions from this chapter

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).

Solve each system in Exercises 1–4 by using elementary row operations on the equations or on the augmented matrix. Follow the systematic elimination procedure.

  1. \(\begin{aligned}{c}{x_1} + 5{x_2} = 7\\ - 2{x_1} - 7{x_2} = - 5\end{aligned}\)

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

24.

a. Any list of five real numbers is a vector in \({\mathbb{R}^5}\).

b. The vector \({\mathop{\rm u}\nolimits} \) results when a vector \({\mathop{\rm u}\nolimits} - v\) is added to the vector \({\mathop{\rm v}\nolimits} \).

c. The weights \({{\mathop{\rm c}\nolimits} _1},...,{c_p}\) in a linear combination \({c_1}{v_1} + \cdot \cdot \cdot + {c_p}{v_p}\) cannot all be zero.

d. When are \({\mathop{\rm u}\nolimits} \) nonzero vectors, Span \(\left\{ {u,v} \right\}\) contains the line through \({\mathop{\rm u}\nolimits} \) and the origin.

e. Asking whether the linear system corresponding to an augmented matrix \(\left[ {\begin{array}{*{20}{c}}{{{\rm{a}}_{\rm{1}}}}&{{{\rm{a}}_{\rm{2}}}}&{{{\rm{a}}_{\rm{3}}}}&{\rm{b}}\end{array}} \right]\) has a solution amounts to asking whether \({\mathop{\rm b}\nolimits} \) is in Span\(\left\{ {{a_1},{a_2},{a_3}} \right\}\).

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

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

Suppose Tand U are linear transformations from \({\mathbb{R}^n}\) to \({\mathbb{R}^n}\) such that \(T\left( {U{\mathop{\rm x}\nolimits} } \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\) . Is it true that \(U\left( {T{\mathop{\rm x}\nolimits} } \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\)? Why or why not?

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