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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

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.

Write the reduced echelon form of a \(3 \times 3\) matrix A such that the first two columns of Aare pivot columns and

\(A = \left( {\begin{aligned}{*{20}{c}}3\\{ - 2}\\1\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\\0\end{aligned}} \right)\).

Use the accompanying figure to write each vector listed in Exercises 7 and 8 as a linear combination of u and v. Is every vector in \({\mathbb{R}^2}\) a linear combination of u and v?

8.Vectors w, x, y, and z

In Exercises 32, 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.

32. \(\left[ {\begin{array}{*{20}{c}}1&2&{ - 5}&0\\0&1&{ - 3}&{ - 2}\\0&{ - 3}&9&5\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}1&2&{ - 5}&0\\0&1&{ - 3}&{ - 2}\\0&0&0&{ - 1}\end{array}} \right]\)

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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