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> 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