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Linear Algebra, 2020a

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182 Chapter Three. Maps Between Spaces<br />

1.32 Suppose that f: V → W is an isomorphism. Prove that the set {⃗v 1 ,...,⃗v k } ⊆ V<br />

is linearly dependent if and only if the set of images {f(⃗v 1 ),...,f(⃗v k )} ⊆ W is<br />

linearly dependent.<br />

̌ 1.33 Show that each type of map from Example 1.8 is an automorphism.<br />

(a) Dilation d s by a nonzero scalar s.<br />

(b) Rotation t θ through an angle θ.<br />

(c) Reflection f l over a line through the origin.<br />

Hint. For the second and third items, polar coordinates are useful.<br />

1.34 Produce an automorphism of P 2 other than the identity map, and other than a<br />

shift map p(x) ↦→ p(x − k).<br />

1.35 (a) Show that a function f: R 1 → R 1 is an automorphism if and only if it has<br />

the form x ↦→ kx for some k ≠ 0.<br />

(b) Let f be an automorphism of R 1 such that f(3) =7. Find f(−2).<br />

(c) Show that a function f: R 2 → R 2 is an automorphism if and only if it has the<br />

form ( x<br />

↦→<br />

y)<br />

( ) ax + by<br />

cx + dy<br />

for some a, b, c, d ∈ R with ad − bc ≠ 0. Hint. Exercises in prior subsections<br />

have shown that ( ( b a<br />

is not a multiple of<br />

d)<br />

c)<br />

if and only if ad − bc ≠ 0.<br />

(d) Let f be an automorphism of R 2 with<br />

( ( ( 1 2 1<br />

f( )= and f( )=<br />

3)<br />

−1)<br />

4)<br />

( 0<br />

1)<br />

.<br />

Find<br />

( 0<br />

f( ).<br />

−1)<br />

1.36 Refer to Lemma 1.10 and Lemma 1.11. Find two more things preserved by<br />

isomorphism.<br />

1.37 We show that isomorphisms can be tailored to fit in that, sometimes, given<br />

vectors in the domain and in the range we can produce an isomorphism associating<br />

those vectors.<br />

(a) Let B = 〈⃗β 1 , ⃗β 2 , ⃗β 3 〉 be a basis for P 2 so that any ⃗p ∈ P 2 has a unique<br />

representation as ⃗p = c 1<br />

⃗β 1 + c 2<br />

⃗β 2 + c 3<br />

⃗β 3 , which we denote in this way.<br />

⎛ ⎞<br />

c 1<br />

Rep B (⃗p) = ⎝c 2<br />

⎠<br />

c 3<br />

Show that the Rep B (·) operation is a function from P 2 to R 3 (this entails showing<br />

that with every domain vector ⃗v ∈ P 2 there is an associated image vector in R 3 ,<br />

and further, that with every domain vector ⃗v ∈ P 2 there is at most one associated<br />

image vector).<br />

(b) Show that this Rep B (·) function is one-to-one and onto.<br />

(c) Show that it preserves structure.

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