Linear Algebra Exercises-n-Answers.pdf
Linear Algebra Exercises-n-Answers.pdf
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