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Let \({{\mathop{\rm a}\nolimits} _1} = \left[ {\begin{array}{*{20}{c}}1\\4\\{ - 2}\end{array}} \right],{{\mathop{\rm a}\nolimits} _2} = \left[ {\begin{array}{*{20}{c}}{ - 2}\\{ - 3}\\7\end{array}} \right],\) and \({\rm{b = }}\left[ {\begin{array}{*{20}{c}}4\\1\\h\end{array}} \right]\). For what values(s) of \(h\) is \({\mathop{\rm b}\nolimits} \) in the plane spanned by \({{\mathop{\rm a}\nolimits} _1}\) and \({{\mathop{\rm a}\nolimits} _2}\)?

Short Answer

Expert verified

\({\mathop{\rm b}\nolimits} \) in the plane is spanned by \({a_1}\) and \({a_2}\) if and only if \(h = - 17\).

Step by step solution

01

Rewrite the matrix into a vector equation 

In \({\mathbb{R}^2}\), the sum of two vectors \({\mathop{\rm u}\nolimits} \) and \({\mathop{\rm v}\nolimits} \) is thevector addition\({\mathop{\rm u}\nolimits} + v\), which is obtained by adding the corresponding entries of \({\mathop{\rm u}\nolimits} \) and \({\mathop{\rm v}\nolimits} \).

The scalar multiple of a vector \({\mathop{\rm u}\nolimits} \) by real number \(c\) is the vector \(c{\mathop{\rm u}\nolimits} \) obtained by multiplying each entry in \({\mathop{\rm u}\nolimits} \) by \(c\).

Use scalar multiplication and vector addition to rewrite the matrix into a vector equation \(\begin{aligned}{c}{x_1}\left[ {\begin{array}{*{20}{c}}1\\4\\{ - 2}\end{array}} \right] + {x_2}\left[ {\begin{array}{*{20}{c}}{ - 2}\\{ - 3}\\7\end{array}} \right] &= \left[ {\begin{array}{*{20}{c}}4\\1\\h\end{array}} \right]\\\left[ {\begin{array}{*{20}{c}}{{x_1} - 2{x_2}}\\{4{x_1} - 3{x_2}}\\{ - 2{x_1} + 7{x_2}}\end{array}} \right] &= \left[ {\begin{array}{*{20}{c}}4\\1\\h\end{array}} \right]\end{aligned}\).

02

Write the matrix into a vector equation

The vectors on the left and right sides are equal if and only if their corresponding entries are both equal. Thus,\({x_1}\)and\({x_2}\)make the vector equation\({x_1}{a_1} + {x_2}{a_2} = b\)if and only if\({x_1}\)and\({x_2}\)satisfy the system

Write the matrix into a vector equation.

\(\begin{array}{c}{x_1} - 2{x_2} = 4\\4{x_1} - 3{x_2} = 1\\ - 2{x_2} + 7{x_2} = h\end{array}\)

03

Convert the vector equation into an augmented matrix

A vector equation \({{\mathop{\rm x}\nolimits} _1}{a_1} + {x_2}{a_2} + ... + {x_n}{a_n} = b\) has the same solution set as the linear system whoseaugmented matrix is \(\left[ {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}&{...}&{{a_n}}&b\end{array}} \right]\).

The augmented matrix for the vector equations \({x_1} - 2{x_2} = 4,4{x_1} - 3{x_2} = 1\) and \( - 2{x_2} + 7{x_2} = h\) is represented as:

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

04

Apply row operation

Perform an elementaryrow operation to produce the first augmented matrix.

Replace row 3 by adding 2 times row 1 to row 3.

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

05

Apply row operation

Perform an elementaryrow operation to produce a second augmented matrix.

Replace row 2 by adding - 4 times row 1 to row 2.

\(\left[ {\begin{array}{*{20}{c}}1&{ - 2}&4\\0&5&{ - 15}\\0&3&{8 + h}\end{array}} \right]\)

06

Apply row operation

Perform an elementary row operation to produce a third augmented matrix.

Multiply row 2 by \(\frac{1}{5}\).

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

07

Apply row operation

Perform an elementary row operation to produce a third augmented matrix.

Replace row 3 by adding -3 times row 2 to row 3.

\(\left[ {\begin{array}{*{20}{c}}1&{ - 2}&4\\0&1&{ - 3}\\0&0&{17 + h}\end{array}} \right]\)

08

Convert the matrix into the equation

The vector\({\mathop{\rm y}\nolimits} \)defined by\(y = {c_1}{v_1} + .... + {c_p}{v_p}\)is called alinear combination of\({{\mathop{\rm v}\nolimits} _1},{v_2},...,{v_p}\)with weights\({c_1},{c_2},...,{c_p}\).

To obtain the solution of the system of equations, you have to convert the augmented matrix into the system of equations.

Write the obtained matrix \(\left[ {\begin{array}{*{20}{c}}1&{ - 2}&4\\0&1&{ - 3}\\0&0&{17 + h}\end{array}} \right]\) into the equation notation.

\(\begin{array}{l}{x_1} - 2{x_2} = 4\\{x_2} = - 3\\0 = 17 + h\end{array}\)

If \(17 + h = 0\),i.e., \(h = - 17\), then the system is consistent; there exists a solution.

Thus, \({\mathop{\rm b}\nolimits} \)in the plane is spanned by \({a_1}\) and \({a_2}\) if and only if \(h = - 17\).

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Most popular questions from this chapter

Suppose the coefficient matrix of a linear system of three equations in three variables has a pivot position in each column. Explain why the system has a unique solution.

Consider the problem of determining whether the following system of equations is consistent:

\(\begin{aligned}{c}{\bf{4}}{x_1} - {\bf{2}}{x_2} + {\bf{7}}{x_3} = - {\bf{5}}\\{\bf{8}}{x_1} - {\bf{3}}{x_2} + {\bf{10}}{x_3} = - {\bf{3}}\end{aligned}\)

  1. Define appropriate vectors, and restate the problem in terms of linear combinations. Then solve that problem.
  1. Define an appropriate matrix, and restate the problem using the phrase โ€œcolumns of A.โ€
  1. Define an appropriate linear transformation T using the matrix in (b), and restate the problem in terms of T.

Solve each system in Exercises 1โ€“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 Exercises 15 and 16, list five vectors in Span \(\left\{ {{v_1},{v_2}} \right\}\). For each vector, show the weights on \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\) used to generate the vector and list the three entries of the vector. Do not make a sketch.

15. \({{\mathop{\rm v}\nolimits} _1} = \left[ {\begin{array}{*{20}{c}}7\\1\\{ - 6}\end{array}} \right],{v_2} = \left[ {\begin{array}{*{20}{c}}{ - 5}\\3\\0\end{array}} \right]\)

In Exercises 23 and 24, key statements from this section are either quoted directly, restated slightly (but still true), or altered in some way that makes them false in some cases. Mark each statement True or False, and justify your answer. (If true, give the approximate location where a similar statement appears, or refer to a de๏ฌnition or theorem. If false, give the location of a statement that has been quoted or used incorrectly, or cite an example that shows the statement is not true in all cases.) Similar true/false questions will appear in many sections of the text.

23.

a. Every elementary row operation is reversible.

b. A \(5 \times 6\)matrix has six rows.

c. The solution set of a linear system involving variables \({x_1},\,{x_2},\,{x_3},........,{x_n}\)is a list of numbers \(\left( {{s_1},\, {s_2},\,{s_3},........,{s_n}} \right)\) that makes each equation in the system a true statement when the values \ ({s_1},\, {s_2},\, {s_3},........,{s_n}\) are substituted for \({x_1},\,{x_2},\,{x_3},........,{x_n}\), respectively.

d. Two fundamental questions about a linear system involve existence and uniqueness.

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