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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

In (a) and (b), suppose the vectors are linearly independent. What can you say about the numbers \(a,....,f\) ? Justify your answers. (Hint: Use a theorem for (b).)

  1. \(\left( {\begin{aligned}{*{20}{c}}a\\0\\0\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}b\\c\\d\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}d\\e\\f\end{aligned}} \right)\)
  2. \(\left( {\begin{aligned}{*{20}{c}}a\\1\\0\\0\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}b\\c\\1\\0\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}d\\e\\f\\1\end{aligned}} \right)\)

Let T be a linear transformation that maps \({\mathbb{R}^n}\) onto \({\mathbb{R}^n}\). Is \({T^{ - 1}}\) also one-to-one?

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.

In Exercise 19 and 20, choose \(h\) and \(k\) such that the system has

a. no solution

b. unique solution

c. many solutions.

Give separate answers for each part.

19. \(\begin{array}{l}{x_1} + h{x_2} = 2\\4{x_1} + 8{x_2} = k\end{array}\)

Find the elementary row operation that transforms the first matrix into the second, and then find the reverse row operation that transforms the second matrix into the first.

30.\(\left[ {\begin{array}{*{20}{c}}1&3&{ - 4}\\0&{ - 2}&6\\0&{ - 5}&9\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}1&3&{ - 4}\\0&1&{ - 3}\\0&{ - 5}&9\end{array}} \right]\)

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