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Linear Algebra Exercises-n-Answers.pdf

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102 <strong>Linear</strong> <strong>Algebra</strong>, by Hefferon<br />

means that h( β ⃗ i ) = h i,1<br />

⃗ δ1 + · · · + h i,n<br />

⃗ δn . And, by the definition of the representation of a vector with<br />

respect to a basis, the assumption that<br />

⎛ ⎞<br />

1..<br />

⎜ ⎟<br />

Rep B (⃗v) = ⎝c<br />

⎠<br />

c n<br />

means that ⃗v = c 1<br />

⃗ β1 + · · · + c n<br />

⃗ βn . Substituting gives<br />

h(⃗v) = h(c 1 · ⃗β 1 + · · · + c n · ⃗β n )<br />

= c 1 · h( ⃗ β 1 ) + · · · + c n · ⃗β n<br />

= c 1 · (h 1,1<br />

⃗ δ1 + · · · + h m,1<br />

⃗ δm ) + · · · + c n · (h 1,n<br />

⃗ δ1 + · · · + h m,n<br />

⃗ δm )<br />

= (h 1,1 c 1 + · · · + h 1,n c n ) · ⃗δ 1 + · · · + (h m,1 c 1 + · · · + h m,n c n ) · ⃗δ m<br />

and so h(⃗v) is represented as required.<br />

Three.III.1.29<br />

(a) The picture is this.<br />

The images of the vectors<br />

⎛<br />

from the domain’s basis<br />

⎝ 1 ⎞ ⎛<br />

0⎠ ↦→ ⎝ 1 ⎞ ⎛<br />

0⎠<br />

⎝ 0 ⎞ ⎛<br />

1⎠ ↦→ ⎝ 0<br />

⎞ ⎛<br />

cos θ ⎠ ⎝ 0 ⎞ ⎛<br />

0⎠ ↦→ ⎝ 0<br />

⎞<br />

sin θ⎠<br />

0 0 0 − sin θ 1 cos θ<br />

are represented with respect to the codomain’s basis (again, E 3 ) by themselves, so adjoining the<br />

representations to make the matrix gives this.<br />

⎛<br />

Rep E3 ,E 3<br />

(r θ ) = ⎝ 1 0 0<br />

⎞<br />

0 cos θ sin θ⎠<br />

0 − sin θ cos θ<br />

(b) The picture is similar to the one in the prior answer. The images of the vectors from the domain’s<br />

basis<br />

⎛<br />

⎝ 1 ⎞ ⎛<br />

0⎠ ↦→ ⎝ cos θ<br />

⎞ ⎛<br />

0 ⎠ ⎝ 0 ⎞ ⎛<br />

1⎠ ↦→ ⎝ 0 ⎞ ⎛<br />

1⎠<br />

⎝ 0 ⎞ ⎛<br />

0⎠ ↦→ ⎝ − sin θ<br />

⎞<br />

0 ⎠<br />

0 sin θ 0 0 1 cos θ<br />

are represented with respect to the codomain’s<br />

⎛<br />

basis E 3 by<br />

⎞<br />

themselves, so this is the matrix.<br />

cos θ 0 − sin θ<br />

⎝ 0 1 0 ⎠<br />

sin θ 0 cos θ<br />

(c) To a person standing up, with the vertical z-axis, a rotation of the xy-plane that is clockwise<br />

proceeds from the positive y-axis to the positive x-axis. That is, it rotates opposite to the direction<br />

in Example 1.8. The<br />

⎛<br />

images of the vectors from the domain’s basis<br />

⎝ 1 ⎞ ⎛<br />

0⎠ ↦→ ⎝ cos θ<br />

⎞ ⎛<br />

− sin θ⎠<br />

⎝ 0 ⎞ ⎛<br />

1⎠ ↦→ ⎝ sin θ<br />

⎞ ⎛<br />

cos θ⎠<br />

⎝ 0 ⎞ ⎛<br />

0⎠ ↦→ ⎝ 0 ⎞<br />

0⎠<br />

0 0<br />

0 0 1 1<br />

are represented with respect to E 3 by themselves,<br />

⎛<br />

so the matrix<br />

⎞<br />

is this.<br />

cos θ sin θ 0<br />

⎝− sin θ cos θ 0⎠<br />

0 0 1<br />

⎛<br />

⎞<br />

cos θ sin θ 0 0<br />

(d) ⎜− sin θ cos θ 0 0<br />

⎟<br />

⎝ 0 0 1 0⎠<br />

0 0 0 1<br />

Three.III.1.30 (a) Write B U as 〈 β ⃗ 1 , . . . , β ⃗ k 〉 and then B V as 〈 β ⃗ 1 , . . . , β ⃗ k , β ⃗ k+1 , . . . , β ⃗ n 〉. If<br />

⎛ ⎞<br />

1..<br />

⎜ ⎟<br />

Rep BU<br />

(⃗v) = ⎝c<br />

⎠ so that ⃗v = c 1 · ⃗β 1 + · · · + c k · ⃗β k<br />

c k

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