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Let \(T:{\mathbb{R}^2} \to {\mathbb{R}^2}\) be the linear transformation with standard matrix \(A = \left[ {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}\end{array}} \right]\), where \({a_1}\) and \({a_2}\) are shown in the figure. Using the figure, draw the image of \(\left[ {\begin{array}{*{20}{c}}{ - 1}\\3\end{array}} \right]\) under the transformation \(T\).

Short Answer

Expert verified

Solve the equation \(T\left( x \right) = Ax\) using thelinear transformation.

\(\begin{aligned} T\left( x \right) &= Ax\\ &= \left[ {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}\end{array}} \right]x\\ &= {x_1}{a_1} + {x_2}{a_2}\end{aligned}\)

Step by step solution

01

Solve the equation \(T\left( x \right) = Ax\)

Solve the equation \(T\left( x \right) = Ax\) using thelinear transformation.

\(\begin{aligned} T\left( x \right) &= Ax\\ &= \left[ {\begin{array}{*{20}{c}}{{a_1}}&{{a_2}}\end{array}} \right]x\\ &= {x_1}{a_1} + {x_2}{a_2}\end{aligned}\)

02

Find the image of \(\left[ {\begin{array}{*{20}{c}}{ - 1}\\3\end{array}} \right]\)

Find the image of \(\left[ {\begin{array}{*{20}{c}}{ - 1}\\3\end{array}} \right]\) using the equation \(T\left( x \right) = {x_1}{a_1} + {x_2}{a_2}\).

\(T\left( x \right) = - {a_1} + 3{a_2}\)

03

Locate the image of \(\left( { - 1,3} \right)\).

In the given graph, locate the image of \(\left( { - 1,3} \right)\) by forming a parallelogram as shown below:

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Most popular questions from this chapter

If Ais a 2×2matrix 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.

Find the general solutions of the systems whose augmented matrices are given as

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

Suppose Tand U are linear transformations from \({\mathbb{R}^n}\) to \({\mathbb{R}^n}\) such that \(T\left( {U{\mathop{\rm x}\nolimits} } \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\) . Is it true that \(U\left( {T{\mathop{\rm x}\nolimits} } \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\)? Why or why not?

Let \({{\mathop{\rm v}\nolimits} _1} = \left[ {\begin{array}{*{20}{c}}1\\0\\{ - 2}\end{array}} \right],{v_2} = \left[ {\begin{array}{*{20}{c}}{ - 3}\\1\\8\end{array}} \right],\) and \({\rm{y = }}\left[ {\begin{array}{*{20}{c}}h\\{ - 5}\\{ - 3}\end{array}} \right]\). For what values(s) of \(h\) is \(y\) in the plane generated by \({{\mathop{\rm v}\nolimits} _1}\) and \({{\mathop{\rm v}\nolimits} _2}\)

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.

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