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Linear Algebra Exercises-n-Answers.pdf

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<strong>Answers</strong> to <strong>Exercises</strong> 101<br />

(b) The images of the vectors in the domain’s basis are e x d/dx<br />

↦−→ e x and e<br />

with respect to the codomain’s basis and adjoining gives this matrix.<br />

Rep B,B ( d ( )<br />

1 0<br />

dx ) = 0 2<br />

B,B<br />

2x<br />

d/dx<br />

↦−→ 2e 2x . Representing<br />

(c) The images of the members of the domain’s basis are 1 d/dx<br />

↦−→ 0, x d/dx<br />

↦−→ 1, e x d/dx<br />

↦−→ e x , and xe x d/dx<br />

↦−→<br />

e x + xe x . Representing these images with respect to B and adjoining gives this matrix.<br />

⎛<br />

⎞<br />

0 1 0 0<br />

Rep B,B ( d<br />

dx ) = ⎜0 0 0 0<br />

⎟<br />

⎝0 0 1 1⎠<br />

0 0 0 1<br />

Three.III.1.26 (a) It is the set of vectors of the codomain represented with respect to the codomain’s<br />

basis in this way. ( ( ) ( )<br />

1 0 x ∣∣ x ∣∣<br />

{<br />

x, y ∈ R} = { x, y ∈ R}<br />

0 0)<br />

y<br />

0<br />

As the codomain’s basis is E 2 , and so each vector is represented by itself, the range of this transformation<br />

is the x-axis.<br />

(b) It is the set of vectors of the codomain represented in this way.<br />

( ( ) ( )<br />

0 0 x ∣∣ 0 ∣∣<br />

{<br />

x, y ∈ R} = {<br />

x, y ∈ R}<br />

3 2)<br />

y<br />

3x + 2y<br />

With respect to E 2 vectors represent themselves so this range is the y axis.<br />

(c) The set of vectors represented with respect to E 2 as<br />

( ( ) ( ) ( )<br />

a b x ∣∣ ax + by ∣∣ 1 ∣∣<br />

{<br />

x, y ∈ R} = {<br />

x, y ∈ R} = {(ax + by) · x, y ∈ R}<br />

2a 2b)<br />

y<br />

2ax + 2by<br />

2<br />

is the line y = 2x, provided either a or b is not zero, and is the set consisting of just the origin if<br />

both are zero.<br />

Three.III.1.27 Yes, for two reasons.<br />

First, the two maps h and ĥ need not have the same domain and codomain. For instance,<br />

( )<br />

1 2<br />

3 4<br />

represents a map h: R 2 → R 2 with respect to the standard bases that sends<br />

( ( ( ( 1 1 0 2<br />

↦→ and ↦→<br />

0)<br />

3)<br />

1)<br />

4)<br />

and also represents a ĥ: P 1 → R 2 with respect to 〈1, x〉 and E 2 that acts in this way.<br />

( (<br />

1 2<br />

1 ↦→ and x ↦→<br />

3)<br />

4)<br />

The second reason is that, even if the domain and codomain of h and ĥ coincide, different bases<br />

produce different maps. An example is the 2×2 identity matrix<br />

( )<br />

1 0<br />

I =<br />

0 1<br />

which represents the identity map on R 2 with respect to E 2 , E 2 . However, with respect to E 2 for the<br />

domain but the basis D = 〈⃗e 2 , ⃗e 1 〉 for the codomain, the same matrix I represents the map that swaps<br />

the first and second components ( (<br />

x y<br />

↦→<br />

y)<br />

x)<br />

(that is, reflection about the line y = x).<br />

Three.III.1.28 We mimic Example 1.1, just replacing the numbers with letters.<br />

Write B as 〈 β ⃗ 1 , . . . , β ⃗ n 〉 and D as 〈 ⃗ δ 1 , . . . , ⃗ δ m 〉. By definition of representation of a map with respect<br />

to bases, the assumption that<br />

⎛<br />

⎞<br />

h 1,1 . . . h 1,n<br />

⎜<br />

Rep B,D (h) =<br />

. . ⎟<br />

⎝ . . ⎠<br />

h m,1 . . . h m,n<br />

B,B

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