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In Exercises 23 and 24, mark each statement True or False. \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\)Justify each answer.

23.

a. A linear transformation is completely determined by its effect on the columns of the \(n \times n\) identity matrix.

b. If \(T:{\mathbb{R}^2} \to {\mathbb{R}^2}\) rotates vectors about the origin through an angle \(\varphi \)then \(T\) is a linear transformation.

c. When two linear transformations are performed one after another, the combined effect may not always be a linear transformation.

d. A mapping \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) is onto \({\mathbb{R}^m}\) if every vector \(x\) in \({\mathbb{R}^n}\) maps onto some vector in \({\mathbb{R}^m}\).

e. If \(A\) is a \(3 \times 2\) matrix, then the transformation \(x \mapsto Ax\) cannot be one-to-one.

Short Answer

Expert verified

a. The given statement is true.

b. The given statement is true.

c. The given statement is false.

d. The given statement is false.

e. The given statement is false.

Step by step solution

01

Determine whether the given statement is true or false

(a)

Theorem 10 states that let \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) be a linear transformation, then there exists a unique matrix \(A\) such that \(T\left( x \right) = Ax\) for all \(x\) in \({\mathbb{R}^n}\). \(A\) is the \(m \times n\) matrix whose \[j{\mathop{\rm th}\nolimits} \] column of the identity matrix in \({\mathbb{R}^n}\) : \(A = \left[ {\begin{array}{*{20}{c}}{T\left( {{e_1}} \right)}&{...}&{T\left( {{e_n}} \right)}\end{array}} \right]\).

Thus, the given statement (a) is true.

02

Determine whether the given statement is true or false

(b)

Example 3 states that let \(T:{\mathbb{R}^2} \to {\mathbb{R}^2}\) be the transformation that rotates each point in \({\mathbb{R}^2}\) about the origin through an angle \(\varphi \), then \(T\) is a linear transformation.

Thus, the given statement (b) is true.

03

Determine whether the given statement is true or false

(c)

Other transformations can be constructed by applying one transformation after another. Such a composition of a linear transformation is linear.

Thus, the given statement (c) is false.

04

Determine whether the given statement is true or false

(d)

A transformation \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) is said to be onto \({\mathbb{R}^m}\) if each \[{\mathop{\rm b}\nolimits} \] in \({\mathbb{R}^m}\) is the image of at least one \(x\) in \({\mathbb{R}^n}\).

The function \({\mathbb{R}^n}\) to \({\mathbb{R}^m}\), each vector is mapped onto another vector.

Thus, the given statement (d) is false.

05

Determine whether the given statement is true or false

(e)

\(A\)is a \(3 \times 2\) matrix. The columns of \(A\) span \({\mathbb{R}^3}\) if and only if \(A\) has 3 pivot columns. Since \(A\) has only 2 columns, the columns of \(A\) do not span \({\mathbb{R}^3}\) , and linear transformation are not onto \({\mathbb{R}^3}\).

Thus, the given statement (e) is false.

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Most popular questions from this chapter

Consider the problem of determining whether the following system of equations is consistent for all \({b_1},{b_2},{b_3}\):

\(\begin{aligned}{c}{\bf{2}}{x_1} - {\bf{4}}{x_2} - {\bf{2}}{x_3} = {b_1}\\ - {\bf{5}}{x_1} + {x_2} + {x_3} = {b_2}\\{\bf{7}}{x_1} - {\bf{5}}{x_2} - {\bf{3}}{x_3} = {b_3}\end{aligned}\)

  1. Define appropriate vectors, and restate the problem in terms of Span \(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2},{{\bf{v}}_3}} \right\}\). Then solve that problem.
  1. Define an appropriate matrix, and restate the problem using the phrase โ€œcolumns of A.โ€
  1. Define an appropriate linear transformation T using the matrix in (b), and restate the problem in terms of T.

Determine h and k such that the solution set of the system (i) is empty, (ii) contains a unique solution, and (iii) contains infinitely many solutions.

a. \({x_1} + 3{x_2} = k\)

\(4{x_1} + h{x_2} = 8\)

b. \( - 2{x_1} + h{x_2} = 1\)

\(6{x_1} + k{x_2} = - 2\)

Suppose a linear transformation \(T:{\mathbb{R}^n} \to {\mathbb{R}^n}\) has the property that \(T\left( {\mathop{\rm u}\nolimits} \right) = T\left( {\mathop{\rm v}\nolimits} \right)\) for some pair of distinct vectors u and v in \({\mathbb{R}^n}\). Can Tmap \({\mathbb{R}^n}\) onto \({\mathbb{R}^n}\)? Why or why not?

Consider the dynamical system xโ†’(t+1)=[1.100โ…„]Xโ†’(t).

Sketch a phase portrait of this system for the given values of ฮป:

ฮป=1

Determine the values(s) of \(h\) such that matrix is the augmented matrix of a consistent linear system.

17. \(\left[ {\begin{array}{*{20}{c}}2&3&h\\4&6&7\end{array}} \right]\)

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