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14.7 Review Problems 275<br />

7. (a) Show that if Q is an orthogonal n × n matrix, then<br />

u v = (Qu) (Qv) ,<br />

for any u, v ∈ R n . That is, Q preserves the inner product.<br />

(b) Does Q preserve the outer product?<br />

(c) If the set of vectors {u 1 , . . . , u n } is orthonormal and {λ 1 , · · · , λ n }<br />

is a set of numbers, then what are the eigenvalues and eigenvectors<br />

of the matrix M = ∑ n<br />

i=1 λ iu i u T i ?<br />

(d) How would the eigenvectors and eigenvalues of this matrix change<br />

if we replaced {u 1 , . . . , u n } by {Qu 1 , . . . , Qu n }?<br />

8. Carefully write out the Gram-Schmidt procedure for the set of vectors<br />

⎧⎛<br />

⎞ ⎛ ⎞ ⎛ ⎞⎫<br />

⎨ 1 1 1 ⎬<br />

⎝1⎠ , ⎝−1⎠ , ⎝ 1⎠<br />

⎩<br />

⎭ .<br />

1 1 −1<br />

Is it possible to rescale the second vector obtained in the procedure to<br />

a vector with integer components?<br />

9. (a) Suppose u and v are <strong>linear</strong>ly independent. Show that u and v ⊥<br />

are also <strong>linear</strong>ly independent. Explain why {u, v ⊥ } is a basis for<br />

span{u, v}.<br />

Hint<br />

(b) Repeat the previous problem, but with three independent vectors<br />

u, v, w where v ⊥ and w ⊥ are as defined by the Gram-Schmidt<br />

procedure.<br />

10. Find the QR factorization of<br />

⎛<br />

1 0<br />

⎞<br />

2<br />

M = ⎝−1 2 0⎠ .<br />

−1 −2 2<br />

11. Given any three vectors u, v, w, when do v ⊥ or w ⊥ of the Gram–Schmidt<br />

procedure vanish?<br />

275

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