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In Exercises 7-12, describe all solutions of \(Ax = 0\) in parametric vector form, where \(A\) is row equivalent to the given matrix.

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

Short Answer

Expert verified

The general solution in the parametric vector form is \(x = {x_3}\left[ {\begin{array}{*{20}{c}}5\\{ - 2}\\1\\0\end{array}} \right] + {x_4}\left[ {\begin{array}{*{20}{c}}7\\6\\0\\1\end{array}} \right]\).

Step by step solution

01

Write the matrix as an augmented matrix

The augmented matrix \(\left[ {\begin{array}{*{20}{c}}A&0\end{array}} \right]\) for the given matrix is represented as:

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

02

Apply row operation

Perform an elementary row operation to produce the first augmented matrix.

Perform the sum of \(2\) times row 2 and row 1 at row 1.

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 5}&{ - 7}&0\\0&1&2&{ - 6}&0\end{array}} \right]\)

03

Convert the matrix into the equation

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

Write the obtained matrix \(\left[ {\begin{array}{*{20}{c}}1&0&{ - 5}&{ - 7}&0\\0&1&2&{ - 6}&0\end{array}} \right]\)into the equation notation.

\[\begin{array}{c}{x_1} - 5{x_3} - 7{x_4} = 0\\{x_2} + 2{x_3} - 6{x_4} = 0\end{array}\]

04

Determine the basic variable and free variable of the system

The variables corresponding to the pivot columns in the matrix are calledbasic variables.The other variable is called a free variable.

\({x_1}\)and \({x_2}\) are basic variables, and \({x_3}\) and \({x_4}\) are free variables.

Thus, \({x_1} = 5{x_3} + 7{x_4},{x_2} = - 2{x_3} + 6{x_4}\).

05

Determine the general solution in the parametric vector form

Sometimes the parametric form of an equation is written as\(x = s{\mathop{\rm u}\nolimits} + t{\mathop{\rm v}\nolimits} \,\,\,\left( {s,t\,{\mathop{\rm in}\nolimits} \,\mathbb{R}} \right)\).

The general solution of \(Ax = 0\) in the parametric vector form can be represented as:

\(\begin{array}{c}x = \left[ {\begin{array}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\\{{x_4}}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{5{x_3} + 7{x_4}}\\{ - 2{x_3} + 6{x_4}}\\{{x_3}}\\{{x_4}}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{5{x_3}}\\{ - 2{x_3}}\\{{x_3}}\\0\end{array}} \right] + \left[ {\begin{array}{*{20}{c}}{7{x_4}}\\{6{x_4}}\\0\\{{x_4}}\end{array}} \right]\\ = {x_3}\left[ {\begin{array}{*{20}{c}}5\\{ - 2}\\1\\0\end{array}} \right] + {x_4}\left[ {\begin{array}{*{20}{c}}7\\6\\0\\1\end{array}} \right]\end{array}\)

Thus, the general solution in the parametric vector form is \(x = {x_3}\left[ {\begin{array}{*{20}{c}}5\\{ - 2}\\1\\0\end{array}} \right] + {x_4}\left[ {\begin{array}{*{20}{c}}7\\6\\0\\1\end{array}} \right]\).

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Most popular questions from this chapter

Show that if ABis invertible, so is B.

In Exercises 9, write a vector equation that is equivalent to

the given system of equations.

9. \({x_2} + 5{x_3} = 0\)

\(\begin{array}{c}4{x_1} + 6{x_2} - {x_3} = 0\\ - {x_1} + 3{x_2} - 8{x_3} = 0\end{array}\)

Consider a dynamical systemwith two components. The accompanying sketch shows the initial state vectorxโ†’0and two eigen vectorsฯ…1โ†’โ€Šโ€Šandโ€Šโ€Šฯ…2โ†’of A (with eigen values ฮป1โ†’andฮป2โ†’respectively). For the given values ofฮป1โ†’andฮป2โ†’, draw a rough trajectory. Consider the future and the past of the system.

ฮป1โ†’=0.9,ฮป2โ†’=0.9

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.

Consider a dynamical system xโ†’(t+1)=Axโ†’(t)with two components. The accompanying sketch shows the initial state vector xโ†’0and two eigenvectors ฯ…1โ†’โ€Šโ€Šandโ€Šโ€Šฯ…2โ†’of A (with eigen values ฮป1โ†’andฮป2โ†’ respectively). For the given values of ฮป1โ†’andฮป2โ†’, draw a rough trajectory. Consider the future and the past of the system.

ฮป1โ†’=1.2,ฮป2โ†’=1.1

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