Section 4.7

Linear Transformations

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Problem 4.7.1

Determine which of the following functions are linear operators on R2\mathbb {R}^{2}.

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(a)

T(x,y)=(x,1+y)\mathbf{T}(x,y) = (x, 1+y);

(b)

T(x,y)=(y,x)\mathbf{T}(x,y) = (y, x);

(c)

T(x,y)=(0,xy)\mathbf{T}(x,y) = (0, xy);

(d)

T(x,y)=(x2,y2)\mathbf{T}(x,y) = (x^2, y^2);

(e)

T(x,y)=(x,sin⁡y)\mathbf{T}(x,y) = (x, \sin y);

(f)

T(x,y)=(x+y,x−y)\mathbf{T}(x,y) = (x+y, x-y).

Problem 4.7.2

For A∈Rn×n\mathbf{A} \in \mathbb {R}^{n \times n}, determine which of the following functions are linear transformations.

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(a)

T(Xn×n)=AX−XA\mathbf{T}(\mathbf{X}_{n \times n}) = \mathbf{A}\mathbf{X} - \mathbf{X}\mathbf{A};

(b)

T(x→n×1)=Ax→+b→\mathbf{T}(\overrightarrow {x}_{n \times 1}) = \mathbf{A}\overrightarrow {x} + \overrightarrow {b} for b→≠0→\overrightarrow {b} \neq \overrightarrow {0};

(c)

T(A)=AT\mathbf{T}(\mathbf{A}) = \mathbf{A}^T;

(d)

T(Xn×n)=(X+XT)/2\mathbf{T}(\mathbf{X}_{n \times n}) = (\mathbf{X} + \mathbf{X}^T)/2.

Problem 4.7.3

Explain why T(0→)=0→\mathbf{T}(\overrightarrow {0}) = \overrightarrow {0} for every linear transformation T\mathbf{T}.

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Problem 4.7.4

Determine which of the following mappings are linear operators on Pn\mathcal{P}_n, the vector space of polynomials of degree nn or less.

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(a)

T=ξkDk+ξk−1Dk−1+⋯+ξ1D+ξ0I\mathbf{T} = \xi_k \mathbf{D}^k + \xi_{k-1} \mathbf{D}^{k-1} + \cdots + \xi_1 \mathbf{D} + \xi_0 \mathbf{I}, where Dk\mathbf{D}^k is the kthk^{th}-order differentiation operator (i.e., Dkp(t)=dkp/dtk\mathbf{D}^k p(t) = d^k p/dt^k).

(b)

T(p(t))=tnp′(0)+t\mathbf{T}\left(p(t)\right) = t^n p'(0) + t.

Problem 4.7.5

Let v→\overrightarrow {v} be a fixed vector in Rn×1\mathbb {R}^{n \times 1} and let T:Rn×1→R\mathbf{T} : \mathbb {R}^{n \times 1} \rightarrow \mathbb {R} be the mapping defined by T(x→)=v→Tx→\mathbf{T}(\overrightarrow {x}) = \overrightarrow {v}^T \overrightarrow {x} (i.e., the standard inner product).

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(a)

Is T\mathbf{T} a linear operator?

(b)

Is T\mathbf{T} a linear transformation?

Problem 4.7.6

For the operator T:R2→R2\mathbf{T} : \mathbb {R}^{2} \rightarrow \mathbb {R}^{2} defined by T(x,y)=(x+y,−2x+4y)\mathbf{T}(x,y) = (x+y, -2x+4y), determine [T]B[\mathbf{T}]_{\mathcal{B}}, where B\mathcal{B} is the basis B={(11),(12)}\mathcal{B} = \left\{ \begin{pmatrix} 1 \\ 1 \end{pmatrix}, \begin{pmatrix} 1 \\ 2 \end{pmatrix}\right\}.

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Problem 4.7.7

Let T:R2→R3\mathbf{T} : \mathbb {R}^{2} \rightarrow \mathbb {R}^{3} be the linear transformation defined by T(x,y)=(x+3y,0,2x−4y)\mathbf{T}(x,y) = (x+3y, 0, 2x-4y).

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(a)

Determine [T]SS′[\mathbf{T}]_{\mathcal{S}\mathcal{S}'}, where S\mathcal{S} and S′\mathcal{S}' are the standard bases for R2\mathbb {R}^{2} and R3\mathbb {R}^{3}, respectively.

(b)

Determine [T]SS′′[\mathbf{T}]_{\mathcal{S}\mathcal{S}''}, where S′′\mathcal{S}'' is the basis for R3\mathbb {R}^{3} obtained by permuting the standard basis according to S′′={e→3,e→2,e→1}\mathcal{S}'' = \left\{ \overrightarrow {e}_3, \overrightarrow {e}_2, \overrightarrow {e}_1\right\}.

Problem 4.7.8

Let T\mathbf{T} be the operator on R3\mathbb {R}^{3} defined by T(x,y,z)=(x−y,y−x,x−z)\mathbf{T}(x,y,z) = (x-y, y-x, x-z) and consider the vector

v→=(112)and the basisB={(100),(011),(110)}. \overrightarrow {v} = \begin{pmatrix} 1 \\ 1 \\ 2 \end{pmatrix} \quad \text{and the basis} \quad \mathcal{B} = \left\{ \begin{pmatrix} 1 \\ 0 \\ 0 \end{pmatrix}, \begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix}, \begin{pmatrix} 1 \\ 1 \\ 0 \end{pmatrix}\right\} .
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(a)

Determine [T]B[\mathbf{T}]_{\mathcal{B}} and [v→]B[\overrightarrow {v}]_{\mathcal{B}}.

(b)

Compute [T(v→)]B[\mathbf{T}(\overrightarrow {v})]_{\mathcal{B}}, and then verify that [T]B[v→]B=[T(v→)]B[\mathbf{T}]_{\mathcal{B}}[\overrightarrow {v}]_{\mathcal{B}} = [\mathbf{T}(\overrightarrow {v})]_{\mathcal{B}}.

Problem 4.7.9

For A∈Rn×n\mathbf{A} \in \mathbb {R}^{n \times n}, let T\mathbf{T} be the linear operator on Rn×1\mathbb {R}^{n \times 1} defined by T(x→)=Ax→\mathbf{T}(\overrightarrow {x}) = \mathbf{A}\overrightarrow {x}. That is, T\mathbf{T} is the operator defined by matrix multiplication. With respect to the standard basis S\mathcal{S}, show that [T]S=A[\mathbf{T}]_{\mathcal{S}} = \mathbf{A}.

Formula (4.7.4): if B={u→i}i=1n\mathcal{B} = \left\{ \overrightarrow {u}_i\right\}_{i=1}^n and B′={v→i}i=1m\mathcal{B}' = \left\{ \overrightarrow {v}_i\right\}_{i=1}^m are bases and T(u→j)=∑iαijv→i\mathbf{T}(\overrightarrow {u}_j) = \sum_i \alpha_{ij} \overrightarrow {v}_i, then [T]BB′=(αij)[\mathbf{T}]_{\mathcal{B}\mathcal{B}'} = (\alpha_{ij}) is the coordinate matrix representation of T\mathbf{T}, satisfying [T(u→)]B′=[T]BB′[u→]B[\mathbf{T}(\overrightarrow {u})]_{\mathcal{B}'} = [\mathbf{T}]_{\mathcal{B}\mathcal{B}'}[\overrightarrow {u}]_{\mathcal{B}} for every u→\overrightarrow {u}.

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Problem 4.7.10

If T\mathbf{T} is a linear operator on a space V\mathcal{V} with basis B\mathcal{B}, explain why [Tk]B=[T]Bk[\mathbf{T}^k]_{\mathcal{B}} = [\mathbf{T}]_{\mathcal{B}}^k for all nonnegative integers kk.

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Problem 4.7.11

Let P\mathbf{P} be the projector that maps each point v→∈R2\overrightarrow {v} \in \mathbb {R}^{2} to its orthogonal projection on the line y=xy = x.

Figure 4.7.4Figure 4.7.4

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(a)

Determine the coordinate matrix of P\mathbf{P} with respect to the standard basis.

(b)

Determine the orthogonal projection of v→=(αβ)\overrightarrow {v} = \begin{pmatrix} \alpha \\ \beta \end{pmatrix} onto the line y=xy = x.

Problem 4.7.12

For the standard basis S={(1000),(0100),(0010),(0001)}\mathcal{S} = \left\{ \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}, \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix}, \begin{pmatrix} 0 & 0 \\ 1 & 0 \end{pmatrix}, \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}\right\} of R2×2\mathbb {R}^{2 \times 2}, determine the matrix representation [T]S[\mathbf{T}]_{\mathcal{S}} for each of the following linear operators on R2×2\mathbb {R}^{2 \times 2}, and then verify [T(U)]S=[T]S[U]S[\mathbf{T}(\mathbf{U})]_{\mathcal{S}} = [\mathbf{T}]_{\mathcal{S}}[\mathbf{U}]_{\mathcal{S}} for U=(abcd)\mathbf{U} = \begin{pmatrix} a & b \\ c & d \end{pmatrix}.

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(a)

T(X2×2)=X+XT2\mathbf{T}(\mathbf{X}_{2 \times 2}) = \dfrac {\mathbf{X} + \mathbf{X}^T}{2}.

(b)

T(X2×2)=AX−XA\mathbf{T}(\mathbf{X}_{2 \times 2}) = \mathbf{A}\mathbf{X} - \mathbf{X}\mathbf{A}, where A=(11−1−1)\mathbf{A} = \begin{pmatrix} 1 & 1 \\ -1 & -1 \end{pmatrix}.

Problem 4.7.13

For P2\mathcal{P}_2 and P3\mathcal{P}_3 (the spaces of polynomials of degrees less than or equal to two and three, respectively), let S:P2→P3\mathbf{S} : \mathcal{P}_2 \rightarrow \mathcal{P}_3 be the linear transformation defined by S(p)=∫0tp(x) dx\mathbf{S}(p) = \int_0^t p(x)\, dx. Determine [S]BB′[\mathbf{S}]_{\mathcal{B}\mathcal{B}'}, where B={1,t,t2}\mathcal{B} = \left\{ 1, t, t^2\right\} and B′={1,t,t2,t3}\mathcal{B}' = \left\{ 1, t, t^2, t^3\right\}.

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Problem 4.7.14

Let Q\mathbf{Q} be the linear operator on R2\mathbb {R}^{2} that rotates each point counterclockwise through an angle θ\theta, and let R\mathbf{R} be the linear operator on R2\mathbb {R}^{2} that reflects each point about the xx-axis.

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(a)

Determine the matrix of the composition [RQ]S[\mathbf{R}\mathbf{Q}]_{\mathcal{S}} relative to the standard basis S\mathcal{S}.

(b)

Relative to the standard basis, determine the matrix of the linear operator that rotates each point in R2\mathbb {R}^{2} counterclockwise through an angle 2θ2\theta.

Problem 4.7.15

Let P:U→V\mathbf{P} : \mathcal{U} \rightarrow \mathcal{V} and Q:U→V\mathbf{Q} : \mathcal{U} \rightarrow \mathcal{V} be two linear transformations, and let B\mathcal{B} and B′\mathcal{B}' be arbitrary bases for U\mathcal{U} and V\mathcal{V}, respectively.

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(a)

Provide the details to explain why [P+Q]BB′=[P]BB′+[Q]BB′[\mathbf{P} + \mathbf{Q}]_{\mathcal{B}\mathcal{B}'} = [\mathbf{P}]_{\mathcal{B}\mathcal{B}'} + [\mathbf{Q}]_{\mathcal{B}\mathcal{B}'}.

(b)

Provide the details to explain why [αP]BB′=α[P]BB′[\alpha \mathbf{P}]_{\mathcal{B}\mathcal{B}'} = \alpha [\mathbf{P}]_{\mathcal{B}\mathcal{B}'}, where α\alpha is an arbitrary scalar.

Problem 4.7.16

Let I\mathbf{I} be the identity operator on an nn-dimensional space V\mathcal{V}.

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(a)

Explain why

[I]B=(10⋯001⋯0⋮⋮⋱⋮00⋯1) [\mathbf{I}]_{\mathcal{B}} = \begin{pmatrix} 1 & 0 & \cdots & 0 \\ 0 & 1 & \cdots & 0 \\ \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & \cdots & 1 \end{pmatrix}

regardless of the choice of basis B\mathcal{B}.

(b)

Let B={x→i}i=1n\mathcal{B} = \left\{ \overrightarrow {x}_i\right\}_{i=1}^n and B′={y→i}i=1n\mathcal{B}' = \left\{ \overrightarrow {y}_i\right\}_{i=1}^n be two different bases for V\mathcal{V}, and let T\mathbf{T} be the linear operator on V\mathcal{V} that maps vectors from B′\mathcal{B}' to vectors in B\mathcal{B} according to the rule T(y→i)=x→i\mathbf{T}(\overrightarrow {y}_i) = \overrightarrow {x}_i for i=1,2,…,ni = 1, 2, \ldots , n. Explain why

[I]BB′=[T]B=[T]B′=([x→1]B′  |  [x→2]B′  |  ⋯  |  [x→n]B′). [\mathbf{I}]_{\mathcal{B}\mathcal{B}'} = [\mathbf{T}]_{\mathcal{B}} = [\mathbf{T}]_{\mathcal{B}'} = \left( [\overrightarrow {x}_1]_{\mathcal{B}'} \; \middle | \; [\overrightarrow {x}_2]_{\mathcal{B}'} \; \middle | \; \cdots \; \middle | \; [\overrightarrow {x}_n]_{\mathcal{B}'} \right).
(c)

When V=R3\mathcal{V} = \mathbb {R}^{3}, determine [I]BB′[\mathbf{I}]_{\mathcal{B}\mathcal{B}'} for

B={(100),(010),(001)},B′={(100),(110),(111)}. \mathcal{B} = \left\{ \begin{pmatrix} 1 \\ 0 \\ 0 \end{pmatrix}, \begin{pmatrix} 0 \\ 1 \\ 0 \end{pmatrix}, \begin{pmatrix} 0 \\ 0 \\ 1 \end{pmatrix}\right\} , \qquad \mathcal{B}' = \left\{ \begin{pmatrix} 1 \\ 0 \\ 0 \end{pmatrix}, \begin{pmatrix} 1 \\ 1 \\ 0 \end{pmatrix}, \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix}\right\} .
Problem 4.7.17

Let T:R3→R3\mathbf{T} : \mathbb {R}^{3} \rightarrow \mathbb {R}^{3} be the linear operator defined by

T(x,y,z)=(2x−y,  −x+2y−z,  z−y). \mathbf{T}(x,y,z) = (2x-y, \; -x+2y-z, \; z-y).
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(a)

Determine T−1(x,y,z)\mathbf{T}^{-1}(x,y,z).

(b)

Determine [T−1]S[\mathbf{T}^{-1}]_{\mathcal{S}}, where S\mathcal{S} is the standard basis for R3\mathbb {R}^{3}.

Problem 4.7.18

Let T\mathbf{T} be a linear operator on an nn-dimensional space V\mathcal{V}. Show that the following statements are equivalent.

  1. T−1\mathbf{T}^{-1} exists.

  2. T\mathbf{T} is a one-to-one mapping (i.e., T(x→)=T(y→)  ⟹  x→=y→\mathbf{T}(\overrightarrow {x}) = \mathbf{T}(\overrightarrow {y}) \implies \overrightarrow {x} = \overrightarrow {y}).

  3. N(T)={0→}N(\mathbf{T}) = \left\{ \overrightarrow {0}\right\}.

  4. T\mathbf{T} is an onto mapping (i.e., for each v→∈V\overrightarrow {v} \in \mathcal{V}, there is an x→∈V\overrightarrow {x} \in \mathcal{V} such that T(x→)=v→\mathbf{T}(\overrightarrow {x}) = \overrightarrow {v}).

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Problem 4.7.19

Let V\mathcal{V} be an nn-dimensional space with a basis B={u→i}i=1n\mathcal{B} = \left\{ \overrightarrow {u}_i\right\}_{i=1}^n.

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(a)

Prove that a set of vectors {x→1,x→2,…,x→r}⊆V\left\{ \overrightarrow {x}_1, \overrightarrow {x}_2, \ldots , \overrightarrow {x}_r\right\} \subseteq \mathcal{V} is linearly independent if and only if the set of coordinate vectors

{[x→1]B,  [x→2]B,  …,  [x→r]B}⊆Rn×1 \left\{ [\overrightarrow {x}_1]_{\mathcal{B}}, \; [\overrightarrow {x}_2]_{\mathcal{B}}, \; \ldots , \; [\overrightarrow {x}_r]_{\mathcal{B}}\right\} \subseteq \mathbb {R}^{n \times 1}

is a linearly independent set.

(b)

If T\mathbf{T} is a linear operator on V\mathcal{V}, then the range of T\mathbf{T} is the set

R(T)={T(x→)∣x→∈V}. R(\mathbf{T}) = \left\{ \mathbf{T}(\overrightarrow {x}) \mid \overrightarrow {x} \in \mathcal{V}\right\} .

Suppose that the basic columns of [T]B[\mathbf{T}]_{\mathcal{B}} occur in positions b1,b2,…,brb_1, b_2, \ldots , b_r. Explain why {T(u→b1),T(u→b2),…,T(u→br)}\left\{ \mathbf{T}(\overrightarrow {u}_{b_1}), \mathbf{T}(\overrightarrow {u}_{b_2}), \ldots , \mathbf{T}(\overrightarrow {u}_{b_r})\right\} is a basis for R(T)R(\mathbf{T}).