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

21. \[\left[ {\begin{array}{*{20}{c}}1&3&{ - 2}\\{ - 4}&h&8\end{array}} \right]\]

Short Answer

Expert verified

The system is consistent for all values of h.

Step by step solution

01

Rewrite the given augmented matrix

The given augmented matrix of a consistent linear system is as follows:

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

02

Perform the elementary row operation

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

To eliminate the first term of the second row,perform an elementary row operationon the augmented matrix \[\left[ {\begin{array}{*{20}{c}}1&3&{ - 2}\\{ - 4}&h&8\end{array}} \right]\],as shown below.

Add four times of the first row to the second row;i.e., \({R_2} \to {R_2} + 4{R_1}\).

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

\[\left[ {\begin{array}{*{20}{c}}1&3&{ - 2}\\0&{h + 12}&0\end{array}} \right]\]

03

Condition for a consistent system

For the system to beconsistent,it should have uniqueor infinitely many solutions.

Based on the above-obtained augmented matrix, the second equation is \[c{x_2} = 0\] in the equation notation form.

This equation has a solution for every value of c,which means thatthe system is consistent for all values of h.

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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).

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.

Show that if ABis invertible, so is B.

Suppose \({{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3}\) are distinct points on one line in \({\mathbb{R}^3}\). The line need not pass through the origin. Show that \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3}} \right\}\) is linearly dependent.

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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