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In Exercises 19–22, determine the value(s) of \(h\) such that the matrix is the augmented matrix of a consistent linear system.

19. \(\left[ {\begin{array}{*{20}{c}}1&h&4\\3&6&8\end{array}} \right]\)

Short Answer

Expert verified

For the values \(h \ne 2\), the system is consistent and has a solution.

Step by step solution

01

Apply the elementary row operation

A basic principle states that row operations do not affect the solution set of a linear system.

Use the \({x_1}\) term in the first equation to eliminate the \(3{x_1}\) term from the second equation. Perform an elementaryrow operationon the matrix\(\left[ {\begin{array}{*{20}{c}}1&h&4\\3&6&8\end{array}} \right]\) as shown below.

Add \( - 3\) times the first row to the second row; i.e., \({R_2} \to {R_2} - 3{R_1}\).

\(\left[ {\begin{array}{*{20}{c}}1&h&4\\{3 - 3\left( 1 \right)}&{6 - 3\left( h \right)}&{8 - 3\left( 4 \right)}\end{array}} \right]\)

After performing the row operation, the matrix becomes

\(\left[ {\begin{array}{*{20}{c}}1&h&4\\0&{6 - 3h}&{ - 4}\end{array}} \right]\)

02

Check for consistency

For the system of equations to be consistent, the solution must satisfy it.

Obtain the value of \(h\) for which \(6 - 3h = 0\).

\(\begin{array}{c}6 - 3h = 0\\3h = 6\\h = 2\end{array}\)

For \(h = 2\), the matrix becomes

\( \Rightarrow \left[ {\begin{array}{*{20}{c}}1&h&4\\0&{6 - 3\left( 2 \right)}&{ - 4}\end{array}} \right]\)

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

03

Conclusion

It can be observed that \(0 = - 4\). This can be re-written as \(0{x_1} + 0{x_2} + 0{x_3} = - 4\). No values of \({x_1}\), \({x_2}\), and \({x_3}\) can satisfy the equation \(0{x_1} + 0{x_2} + 0{x_3} = - 4\). This proves that the system is inconsistent when \(h = 2\).

Thus, for \(h \ne 2\), the system is consistent and has a solution.

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Most popular questions from this chapter

Suppose \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2}} \right\}\) is a linearly independent set in \({\mathbb{R}^n}\). Show that \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _1} + {{\mathop{\rm v}\nolimits} _2}} \right\}\) is also linearly independent.

Suppose a linear transformation \(T:{\mathbb{R}^n} \to {\mathbb{R}^n}\) has the property that \(T\left( {\mathop{\rm u}\nolimits} \right) = T\left( {\mathop{\rm v}\nolimits} \right)\) for some pair of distinct vectors u and v in \({\mathbb{R}^n}\). Can Tmap \({\mathbb{R}^n}\) onto \({\mathbb{R}^n}\)? Why or why not?

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.

If Ais an \(n \times n\) matrix and the equation \(A{\bf{x}} = {\bf{b}}\) has more than one solution for some b, then the transformation \({\bf{x}}| \to A{\bf{x}}\) is not one-to-one. What else can you say about this transformation? Justify your answer.a

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

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