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Linear Algebra Exercises-n-Answers.pdf

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<strong>Answers</strong> to <strong>Exercises</strong> 185<br />

Five.II.2.16 Yes, ct is diagonalizable by the final theorem of this subsection.<br />

No, t+s need not be diagonalizable. Intuitively, the problem arises when the two maps diagonalize<br />

with respect to different bases (that is, when they are not simultaneously diagonalizable). Specifically,<br />

these two are diagonalizable but their sum is not:<br />

( ) ( )<br />

1 1 −1 0<br />

0 0 0 0<br />

(the second is already diagonal; for the first, see Exercise 15). The sum is not diagonalizable because<br />

its square is the zero matrix.<br />

The same intuition suggests that t ◦ s is not be diagonalizable. These two are diagonalizable but<br />

their product is not: ( ) ( )<br />

1 0 0 1<br />

0 0 1 0<br />

(for the second, see Exercise 15).<br />

Five.II.2.17<br />

then<br />

If<br />

P<br />

P<br />

( ) 1 c<br />

P −1 =<br />

0 1<br />

( )<br />

1 c<br />

=<br />

0 1<br />

( ) a 0<br />

0 b<br />

( )<br />

a 0<br />

P<br />

0 b<br />

so<br />

( ) ( ) ( ) ( )<br />

p q 1 c a 0 p q<br />

=<br />

r s 0 1 0 b r s<br />

( ) ( )<br />

p cp + q ap aq<br />

=<br />

r cr + s br bs<br />

The 1, 1 entries show that a = 1 and the 1, 2 entries then show that pc = 0. Since c ≠ 0 this means<br />

that p = 0. The 2, 1 entries show that b = 1 and the 2, 2 entries then show that rc = 0. Since c ≠ 0<br />

this means that r = 0. But if both p and r are 0 then P is not invertible.<br />

Five.II.2.18 (a) Using the formula for the inverse of a 2×2 matrix gives this.<br />

( ) ( ) ( ) ( )<br />

a b 1 2 1 d −b<br />

·<br />

c d 2 1 ad − bc ·<br />

1 ad + 2bd − 2ac − bc −ab − 2b<br />

=<br />

2 + 2a 2 + ab<br />

−c a ad − bc cd + 2d 2 − 2c 2 − cd −bc − 2bd + 2ac + ad<br />

Now pick scalars a, . . . , d so that ad − bc ≠ 0 and 2d 2 − 2c 2 = 0 and 2a 2 − 2b 2 = 0. For example,<br />

these will do. ( ) ( ) ( )<br />

1 1 1 2 1 −1 −1<br />

·<br />

1 −1 2 1 −2 ·<br />

= 1 ( ) −6 0<br />

−1 1 −2 0 2<br />

(b) As above,<br />

( ) ( ) ( ) ( )<br />

a b x y 1 d −b<br />

·<br />

c d y z ad − bc ·<br />

1 adx + bdy − acy − bcz −abx − b<br />

=<br />

2 y + a 2 y + abz<br />

−c a ad − bc cdx + d 2 y − c 2 y − cdz −bcx − bdy + acy + adz<br />

we are looking for scalars a, . . . , d so that ad − bc ≠ 0 and −abx − b 2 y + a 2 y + abz = 0 and<br />

cdx + d 2 y − c 2 y − cdz = 0, no matter what values x, y, and z have.<br />

For starters, we assume that y ≠ 0, else the given matrix is already diagonal. We shall use that<br />

assumption because if we (arbitrarily) let a = 1 then we get<br />

and the quadratic formula gives<br />

−bx − b 2 y + y + bz = 0<br />

(−y)b 2 + (z − x)b + y = 0<br />

b = −(z − x) ± √ (z − x) 2 − 4(−y)(y)<br />

y ≠ 0<br />

−2y<br />

(note that if x, y, and z are real then these two b’s are real as the discriminant is positive). By the<br />

same token, if we (arbitrarily) let c = 1 then<br />

and we get here<br />

dx + d 2 y − y − dz = 0<br />

(y)d 2 + (x − z)d − y = 0<br />

d = −(x − z) ± √ (x − z) 2 − 4(y)(−y)<br />

2y<br />

y ≠ 0

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