Linear Algebra Exercises-n-Answers.pdf
Linear Algebra Exercises-n-Answers.pdf
Linear Algebra Exercises-n-Answers.pdf
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180 <strong>Linear</strong> <strong>Algebra</strong>, by Hefferon<br />
Five.II.1.8<br />
One possible choice of the bases is<br />
( ( ) 1 −1<br />
B = 〈 , 〉 D = E<br />
2)<br />
1<br />
2 = 〈<br />
( 1<br />
0)<br />
( 0<br />
, 〉<br />
1)<br />
(this B is suggested by the map description). To find the matrix T = Rep B,B (t), solve the relations<br />
( ) ( ) ( ( ) ( ) ( )<br />
1 −1 3 1 −1 −1<br />
c 1 + c<br />
2 2 = ĉ<br />
1 0)<br />
1 + ĉ<br />
2 2 =<br />
1 2<br />
to get c 1 = 1, c 2 = −2, ĉ 1 = 1/3 and ĉ 2 = 4/3.<br />
Rep B,B (t) =<br />
( 1<br />
) 1/3<br />
−2 4/3<br />
Finding Rep D,D (t) involves a bit more computation. We first find t(⃗e 1 ). The relation<br />
( ) ( ) (<br />
1 −1 1<br />
c 1 + c<br />
2 2 =<br />
1 0)<br />
gives c 1 = 1/3 and c 2 = −2/3, and so<br />
making<br />
Rep B (⃗e 1 ) =<br />
( ) 1/3<br />
−2/3<br />
B<br />
( ) ( ) ( )<br />
1 1/3 1/3 1/9<br />
Rep B (t(⃗e 1 )) =<br />
=<br />
−2 4/3 −2/3 −14/9<br />
B,B<br />
B<br />
B<br />
and hence t acts on the first basis vector ⃗e 1 in this way.<br />
( ( ) ( )<br />
1 −1 5/3<br />
t(⃗e 1 ) = (1/9) · − (14/9) · =<br />
2)<br />
1 −4/3<br />
The computation for t(⃗e 2 ) is similar. The relation<br />
( ) ( ) (<br />
1 −1 0<br />
c 1 + c<br />
2 2 =<br />
1 1)<br />
gives c 1 = 1/3 and c 2 = 1/3, so<br />
making<br />
Rep B (⃗e 1 ) =<br />
( ) 1/3<br />
1/3<br />
B<br />
( )<br />
1 1/3<br />
Rep B (t(⃗e 1 )) =<br />
−2 4/3<br />
B,B<br />
and hence t acts on the second basis vector ⃗e 2 in this way.<br />
t(⃗e 2 ) = (4/9) ·<br />
(<br />
1<br />
2)<br />
− (2/9) ·<br />
( ) ( )<br />
1/3 4/9<br />
=<br />
1/3 −2/9<br />
B<br />
B<br />
(<br />
−1<br />
1<br />
)<br />
=<br />
( )<br />
2/3<br />
2/3<br />
Therefore<br />
( )<br />
5/3 2/3<br />
Rep D,D (t) =<br />
−4/3 2/3<br />
and these are the change of basis matrices.<br />
( )<br />
1 −1<br />
P = Rep B,D (id) =<br />
P −1 = ( Rep<br />
2 1<br />
B,D (id) ) ( ) −1<br />
−1 1 −1 = =<br />
2 1<br />
The check of these computations is routine.<br />
( ) ( ) ( ) ( )<br />
1 −1 1 1/3 1/3 1/3 5/3 2/3<br />
=<br />
2 1 −2 4/3 −2/3 1/3 −4/3 2/3<br />
(<br />
1/3<br />
)<br />
1/3<br />
−2/3 1/3<br />
Five.II.1.9 The only representation of a zero map is a zero matrix, no matter what the pair of bases<br />
Rep B,D (z) = Z, and so in particular for any single basis B we have Rep B,B (z) = Z. The case of the<br />
identity is related, but slightly different: the only representation of the identity map, with respect to<br />
any B, B, is the identity Rep B,B (id) = I. (Remark: of course, we have seen examples where B ≠ D<br />
and Rep B,D (id) ≠ I — in fact, we have seen that any nonsingular matrix is a representation of the<br />
identity map with respect to some B, D.)<br />
Five.II.1.10 No. If A = P BP −1 then A 2 = (P BP −1 )(P BP −1 ) = P B 2 P −1 .<br />
Five.II.1.11 Matrix similarity is a special case of matrix equivalence (if matrices are similar then they<br />
are matrix equivalent) and matrix equivalence preserves nonsingularity.