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In Exercises 32–36, column vectors are written as rows, such as \({\bf{x}} = \left( {{x_1},{x_2}} \right)\), and \(T\left( {\bf{x}} \right)\) is written as \(T\left( {{x_1},{x_2}} \right)\).

36.Let \(T:{\mathbb{R}^3} \to {\mathbb{R}^3}\) be the transformation that projects each vector \({\bf{x}} = \left( {{x_1},{x_2},{x_3}} \right)\) onto the plane \({x_2} = 0\), so \(T\left( {\bf{x}} \right) = T\left( {{x_1},0,{x_3}} \right)\). Show that T is a linear transformation.

Short Answer

Expert verified

\(T\) is a linear transformation.

Step by step solution

01

Write the condition for the transformation to be linear

The transformation \(T\) is said to be linear if all vectors \({\bf{u}}\) in \({\mathbb{R}^n}\) and all scalars \(c\) and \(d\) are represented in the domain \(T\)as shown below:

  • \(T\left( {c{\bf{u}}} \right) = cT\left( {\bf{u}} \right)\)
  • \(T\left( {c{\bf{u}} + d{\bf{v}}} \right) = cT\left( {\bf{u}} \right) + dT\left( {\bf{v}} \right)\)
02

Obtain the linear combination of vectors \(c{\bf{u}} + d{\bf{v}}\)

Let\({\bf{u}} = \left( {{u_1},{u_2},{u_3}} \right)\), and\({\bf{v}} = \left( {{v_1},{v_2},{v_3}} \right)\).

Substitute\({\bf{u}} = \left( {{u_1},{u_2},{u_3}} \right)\), and\({\bf{v}} = \left( {{v_1},{v_2},{v_3}} \right)\)in\(c{\bf{u}} + d{\bf{v}}\) as shown below:

\(\begin{aligned}{c}c{\bf{u}} + d{\bf{v}} &= c\left( {{u_1},{u_2},{u_3}} \right) + d\left( {{v_1},{v_2},{v_3}} \right)\\ &= \left( {c{u_1},c{u_2},c{u_3}} \right) + \left( {d{v_1},d{v_2},d{v_3}} \right)\\ &= \left( {c{u_1} + d{v_1},c{u_2} + d{v_2},c{u_3} + d{v_3}} \right)\end{aligned}\)

03

Obtain the transformation \(T\left( {c{\bf{u}} + d{\bf{v}}} \right)\)

As the vector is \(c{\bf{u}} + d{\bf{v}} = \left( {c{u_1} + d{v_1},c{u_2} + d{v_2},c{u_3} + d{v_3}} \right)\); apply the transformation by using the concept that for\({\bf{x}} = \left( {{x_1},{x_2},{x_3}} \right)\), the transformation is\(T\left( {\bf{x}} \right) = T\left( {{x_1},0,{x_3}} \right)\).

\(\begin{aligned}{c}T\left( {c{\bf{u}} + d{\bf{v}}} \right) &= T\left( {c{u_1} + d{v_1},c{u_2} + d{v_2},c{u_3} + d{v_3}} \right)\\ &= \left( {c{u_1} + d{v_1},0,c{u_3} + d{v_3}} \right)\\ &= \left( {c{u_1} + d{v_1},0,c{u_3} + d{v_3}} \right)\\ &= \left( {c{u_1},0,c{u_3}} \right) + \left( {d{v_1},0,d{v_3}} \right)\end{aligned}\)

Simplify further.

\(\begin{aligned}{c}T\left( {c{\bf{u}} + d{\bf{v}}} \right) &= c\left( {{u_1},0,{u_3}} \right) + d\left( {{v_1},0,{v_3}} \right)\\ &= cT\left( {\bf{u}} \right) + dT\left( {\bf{v}} \right)\end{aligned}\)

Since \(T\left( {c{\bf{u}} + d{\bf{v}}} \right) = cT\left( {\bf{u}} \right) + dT\left( {\bf{v}} \right)\), \(T\) is a linear transformation.

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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 definition 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.

In Exercises 10, write a vector equation that is equivalent tothe given system of equations.

10. \(4{x_1} + {x_2} + 3{x_3} = 9\)

\(\begin{array}{c}{x_1} - 7{x_2} - 2{x_3} = 2\\8{x_1} + 6{x_2} - 5{x_3} = 15\end{array}\)

In Exercises 31, find the elementary row operation that transforms the first matrix into the second, and then find the reverse row operation that transforms the second matrix into the first.

31. \(\left[ {\begin{array}{*{20}{c}}1&{ - 2}&1&0\\0&5&{ - 2}&8\\4&{ - 1}&3&{ - 6}\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}1&{ - 2}&1&0\\0&5&{ - 2}&8\\0&7&{ - 1}&{ - 6}\end{array}} \right]\)

In Exercises 5, write a system of equations that is equivalent to the given vector equation.

5. \({x_1}\left[ {\begin{array}{*{20}{c}}6\\{ - 1}\\5\end{array}} \right] + {x_2}\left[ {\begin{array}{*{20}{c}}{ - 3}\\4\\0\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}1\\{ - 7}\\{ - 5}\end{array}} \right]\)

In Exercises 33 and 34, Tis a linear transformation from \({\mathbb{R}^2}\) into \({\mathbb{R}^2}\). Show that T is invertible and find a formula for \({T^{ - 1}}\).

33. \(T\left( {{x_1},{x_2}} \right) = \left( { - 5{x_1} + 9{x_2},4{x_1} - 7{x_2}} \right)\)

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