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A First Course in Linear Algebra, 2017a

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254 R n<br />

Exercise 4.11.7 For U an orthogonal matrix, expla<strong>in</strong> why ‖U⃗x‖ = ‖⃗x‖ for any vector ⃗x. Next expla<strong>in</strong> why<br />

if U is an n × n matrix with the property that ‖U⃗x‖ = ‖⃗x‖ for all vectors, ⃗x, then U must be orthogonal.<br />

Thus the orthogonal matrices are exactly those which preserve length.<br />

Exercise 4.11.8 Suppose U is an orthogonal n × n matrix. Expla<strong>in</strong> why rank(U)=n.<br />

Exercise 4.11.9 Fill <strong>in</strong> the miss<strong>in</strong>g entries to make the matrix orthogonal.<br />

⎡<br />

⎤<br />

⎢<br />

⎣<br />

−1 √<br />

2<br />

−1 √<br />

6<br />

1 √3<br />

1√<br />

2<br />

_ _<br />

_<br />

√<br />

6<br />

3<br />

_<br />

⎥<br />

⎦ .<br />

Exercise 4.11.10 Fill <strong>in</strong> the miss<strong>in</strong>g entries to make the matrix orthogonal.<br />

⎡ √<br />

2 2<br />

√ ⎤<br />

1<br />

3 2 6 2<br />

⎢<br />

⎣<br />

2<br />

3<br />

_ _<br />

_ 0 _<br />

⎥<br />

⎦<br />

Exercise 4.11.11 Fill <strong>in</strong> the miss<strong>in</strong>g entries to make the matrix orthogonal.<br />

⎡<br />

1<br />

3<br />

− 2 ⎤<br />

√ 5<br />

_<br />

⎢ 2<br />

⎣ 3<br />

0 _ ⎥<br />

√ ⎦<br />

4<br />

_ _ 15 5<br />

Exercise 4.11.12 F<strong>in</strong>d an orthonormal basis for the span of each of the follow<strong>in</strong>g sets of vectors.<br />

(a)<br />

(b)<br />

(c)<br />

⎡<br />

⎣<br />

⎡<br />

⎣<br />

⎡<br />

⎣<br />

3<br />

−4<br />

0<br />

3<br />

0<br />

−4<br />

3<br />

0<br />

−4<br />

⎤<br />

⎡<br />

⎦, ⎣<br />

⎤<br />

⎡<br />

⎦, ⎣<br />

⎤<br />

⎡<br />

⎦, ⎣<br />

7<br />

−1<br />

0<br />

11<br />

0<br />

2<br />

5<br />

0<br />

10<br />

⎤<br />

⎡<br />

⎦, ⎣<br />

⎤<br />

⎡<br />

⎦, ⎣<br />

⎤<br />

⎡<br />

⎦, ⎣<br />

1<br />

7<br />

1<br />

1<br />

1<br />

7<br />

⎤<br />

⎦<br />

⎤<br />

⎦<br />

−7<br />

1<br />

1<br />

⎤<br />

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