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> 121<br />
and while H is a two-sided inverse of G and G is a two-sided inverse of H, we know that H is not<br />
a two-sided inverse of H. However, the relation is symmetric: if G is a two-sided inverse of H then<br />
GH = I = HG and therefore H is also a two-sided inverse of G.<br />
Three.IV.4.37 This is how the answer was given in the cited source. Let A be m×m, non-singular,<br />
with the stated property. Let B be its inverse. Then for n ≤ m,<br />
m∑ m∑ m∑<br />
m∑ m∑<br />
m∑<br />
1 = δ nr = b ns a sr = b ns a sr = k<br />
(A is singular if k = 0).<br />
r=1<br />
r=1 s=1<br />
s=1 r=1<br />
s=1<br />
b ns<br />
Subsection Three.V.1: Changing Representations of Vectors<br />
Three.V.1.6 For the matrix to change bases from D to E 2 we need that Rep E2<br />
(id( ⃗ δ 1 )) = Rep E2<br />
( ⃗ δ 1 )<br />
and that Rep E2<br />
(id( ⃗ δ 2 )) = Rep E2<br />
( ⃗ δ 2 ). Of course, the representation of a vector in R 2 with respect to<br />
the standard basis is easy.<br />
( ( )<br />
Rep E2<br />
( ⃗ 2<br />
δ 1 ) = Rep<br />
1)<br />
E2<br />
( ⃗ −2<br />
δ 2 ) =<br />
4<br />
Concatenating those two together to make the columns of the change of basis matrix gives this.<br />
( )<br />
2 −2<br />
Rep D,E2 (id) =<br />
1 4<br />
The change of basis matrix in the other direction can be gotten by calculating Rep D (id(⃗e 1 )) = Rep D (⃗e 1 )<br />
and Rep D (id(⃗e 2 )) = Rep D (⃗e 2 ) (this job is routine) or it can be found by taking the inverse of the above<br />
matrix. Because of the formula for the inverse of a 2×2 matrix, this is easy.<br />
Rep E2,D(id) = 1<br />
10 ·<br />
(<br />
4 2<br />
−1 2<br />
)<br />
=<br />
(<br />
4/10 2/10<br />
−1/10 2/10<br />
Three.V.1.7 In each case, the columns Rep D (id( β ⃗ 1 )) = Rep D ( β ⃗ 1 ) and Rep D (id( β ⃗ 2 )) = Rep D ( β ⃗ 2 ) are<br />
concatenated to make the change of basis matrix Rep B,D (id).<br />
( ) ( ) ( ) ( )<br />
0 1<br />
2 −1/2 1 1<br />
1 −1<br />
(a)<br />
(b)<br />
(c)<br />
(d)<br />
1 0<br />
−1 1/2<br />
2 4<br />
−1 2<br />
Three.V.1.8 One way to go is to find Rep B ( ⃗ δ 1 ) and Rep B ( ⃗ δ 2 ), and then concatenate them into the<br />
columns of the desired change of basis matrix. Another way is to find the inverse of the matrices that<br />
answer( Exercise ) 7. ( ) ( ) ( )<br />
0 1<br />
1 1<br />
2 −1/2<br />
2 1<br />
(a)<br />
(b)<br />
(c)<br />
(d)<br />
1 0<br />
2 4 −1 1/2<br />
1 1<br />
Three.V.1.9 The columns vector representations Rep D (id( β ⃗ 1 )) = Rep D ( β ⃗ 1 ), and Rep D (id( β ⃗ 2 )) =<br />
Rep D ( β ⃗ 2 ), and Rep D (id( β ⃗ 3 )) = Rep D ( β ⃗ 3 ) make the change of basis matrix Rep B,D (id).<br />
⎛ ⎞ ⎛<br />
⎞ ⎛<br />
⎞<br />
0 0 1<br />
1 −1 0<br />
1 −1 1/2<br />
(a) ⎝1 0 0⎠<br />
(b) ⎝0 1 −1⎠<br />
(c) ⎝1 1 −1/2⎠<br />
0 1 0<br />
0 0 1<br />
0 2 0<br />
E.g., for the first column of the first matrix, 1 = 0 · x 2 + 1 · 1 + 0 · x.<br />
Three.V.1.10 A matrix changes bases if and only if it is nonsingular.<br />
(a) This matrix is nonsingular and so changes bases. Finding to what basis E 2 is changed means<br />
finding D such that<br />
( ) 5 0<br />
Rep E2 ,D(id) =<br />
0 4<br />
and by the definition of how a matrix represents a linear map, we have this.<br />
( ( 5 0<br />
Rep D (id(⃗e 1 )) = Rep D (⃗e 1 ) = Rep<br />
0)<br />
D (id(⃗e 2 )) = Rep D (⃗e 2 ) =<br />
4)<br />
)<br />
Where<br />
( ) ( )<br />
x1 x2<br />
D = 〈 , 〉<br />
y 1 y 2