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Section III. Computing <strong>Linear</strong> Maps 203<br />

(c) � β1 ↦→ � β2, � β2 ↦→ � β3, � β3 ↦→ �0, � β4 ↦→ �0<br />

1.21 Example 1.8 shows how to represent the rotation transformation of the plane<br />

with respect to the standard basis. Express these other transformations also with<br />

respect to the standard basis.<br />

(a) the dilation map ds, which multiplies all vectors by the same scalar s<br />

(b) the reflection map fℓ, which reflects all all vectors across a line ℓ through the<br />

origin<br />

� 1.22 Consider a linear transformation of R 2 determined by these two.<br />

� � � � � � � �<br />

1 2 1 −1<br />

↦→<br />

↦→<br />

1 0 0 0<br />

(a) Represent this transformation with respect to the standard bases.<br />

(b) Where does the transformation send this vector?<br />

� �<br />

0<br />

5<br />

(c) Represent this transformation with respect to these bases.<br />

� � � � � � � �<br />

1 1<br />

2 −1<br />

B = 〈 , 〉 D = 〈 , 〉<br />

−1 1<br />

2 1<br />

(d) Using B from the prior item, represent the transformation with respect to<br />

B,B.<br />

1.23 Suppose that h: V → W is nonsingular so that by Theorem 2.20, for any<br />

basis B = 〈 � β1,..., � βn〉 ⊂V the image h(B) =〈h( � β1),...,h( � βn)〉 is a basis for<br />

W .<br />

(a) Represent the map h with respect to B,h(B).<br />

(b) For a member �v of the domain, where the representation of �v has components<br />

c1, ... , cn, represent the image vector h(�v) with respect to the image basis h(B).<br />

1.24 Give a formula for the product of a matrix and �ei, the column vector that is<br />

all zeroes except for a single one in the i-th position.<br />

� 1.25 For each vector space of functions of one real variable, represent the derivative<br />

transformation with respect to B,B.<br />

(a) {a cos x + b sin x � � a, b ∈ R}, B = 〈cos x, sin x〉<br />

(b) {ae x + be 2x � � a, b ∈ R}, B = 〈e x ,e 2x 〉<br />

(c) {a + bx + ce x + dxe 2x � � a, b, c, d ∈ R}, B = 〈1,x,e x ,xe x 〉<br />

1.26 Find the range of the linear transformation of R 2 represented with respect to<br />

the standard � �bases<br />

by each � matrix. �<br />

� �<br />

1 0<br />

0 0<br />

a b<br />

(a)<br />

(b)<br />

(c) a matrix of the form<br />

0 0<br />

3 2<br />

2a 2b<br />

� 1.27 Can one matrix represent two different linear maps? That is, can RepB,D(h) =<br />

RepB, ˆ D ˆ ( ˆ h)?<br />

1.28 Prove Theorem 1.4.<br />

� 1.29 Example 1.8 shows how to represent rotation of all vectors in the plane through<br />

an angle θ about the origin, with respect to the standard bases.<br />

(a) Rotation of all vectors in three-space through an angle θ about the x-axis is a<br />

transformation of R 3 . Represent it with respect to the standard bases. Arrange<br />

the rotation so that to someone whose feet are at the origin and whose head is<br />

at (1, 0, 0), the movement appears clockwise.

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