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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

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