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Do the three planes \({x_1} + 2{x_2} + {x_3} = 4\), \({x_2} - {x_3} = 1\) and \({x_1} + 3{x_2} = 0\) have at least one common point of intersection? Explain.

Short Answer

Expert verified

The given three planes have no common point.

Step by step solution

01

Convert the given system of equations into an augmented matrix

To express a system in theaugmented matrixform, extract the coefficients of the variables and the constants, and place these entries in the column of the matrix.

Thus, the augmented matrix for the system of equations \({x_1} + 2{x_2} + {x_3} = 4\), \({x_2} - {x_3} = 1\),and\({x_1} + 3{x_2} = 0\) can be represented as follows:

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

02

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 \({x_1}\) term from the third equation. Perform an elementary row operationon the matrix\[\left[ {\begin{array}{*{20}{c}}1&2&1&4\\0&1&{ - 1}&1\\1&3&0&0\end{array}} \right]\] as shown below:

Add \( - 1\) times the first row to the third row; i.e., \({R_3} \to {R_3} - {R_1}\).

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

After performing the row operation, the matrix becomes

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

03

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 second equation to eliminate the \({x_2}\) and \( - {x_3}\) terms from the third equation. Perform an elementary row operation on the matrix\[\left[ {\begin{array}{*{20}{c}}1&2&1&4\\0&1&{ - 1}&1\\0&1&{ - 1}&{ - 4}\end{array}} \right]\] as shown below:

Add \( - 1\) times the second row to the third row; i.e., \({R_3} \to {R_3} - {R_2}\).

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

After performing the row operation, the matrix becomes

\[\left[ {\begin{array}{*{20}{c}}1&2&1&4\\0&1&{ - 1}&1\\0&0&0&{ - 5}\end{array}} \right]\]

04

Convert the augmented matrix into the equation

To check if the system of equations is consistent, convert the augmented matrix into the system of equations again.

\(\begin{array}{c}{x_1} + 2{x_2} + {x_3} = 4\\{x_2} - {x_3} = 1\\0 = - 5\end{array}\)

05

Check whether the system is consistent

The equation \(0 = - 5\) can also be written as \(0{x_1} + 0{x_2} + 0{x_3} = - 5\). No values of \({x_1}\), \({x_2}\),and \({x_3}\) can satisfy the equation \(0{x_1} + 0{x_2} + 0{x_3} = - 5\). It proves that the system is inconsistent, or there is no solution.

Hence, the three planes have no common point.

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Most popular questions from this chapter

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铿乶ition 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.

24.

a. Elementary row operations on an augmented matrix never change the solution set of the associated linear system.

b. Two matrices are row equivalent if they have the same number of rows.

c. An inconsistent system has more than one solution.

d. Two linear systems are equivalent if they have the same solution set.

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 \(T\left( { - u} \right) = - {\mathop{\rm v}\nolimits} \).

Give a geometric description of Span \(\left\{ {{v_1},{v_2}} \right\}\) for the vectors in Exercise 16.

Determine the value(s) of \(a\) such that \(\left\{ {\left( {\begin{aligned}{*{20}{c}}1\\a\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}a\\{a + 2}\end{aligned}} \right)} \right\}\) is linearly independent.

If Ais a 22matrix with eigenvalues 3 and 4 and if localid="1668109698541" u is a unit eigenvector of A, then the length of vector Alocalid="1668109419151" ucannot exceed 4.

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