2 Solved Problems on Linear Transformations - Homework 6 | MATH 240, Assignments of Linear Algebra

Material Type: Assignment; Class: Linear Algebra and Applications; Subject: MATHEMATICAL SCIENCES; University: Northern Illinois University; Term: Fall 2002;

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MATH 240 HOMEWORK 6 NAME
Prof. J. Beachy Wednesday, 11/6/02 Score / 20
If L:VWis a linear transformation, and Sis basis for a V, while Tis a basis for W, then we will use
MTS(L)to denote the matrix of Lwith respect to the bases Sand T.
1. (p 290 #8) Define L:M22 M22 by L(A) = 1 2
3 4 A, for Ain M22. Use the ordered bases
S= 1 0
0 0 ,0 1
0 0 ,0 0
1 0 ,0 0
0 1  and T= 1 0
0 1 ,1 1
0 0 ,1 0
1 0 ,0 1
0 0 .
(a) Find the matrix representation of Lwith respect to S.
To find MSS(L), substitute each of the basis vectors in Sinto L; then find the coordinates relative to S.
L 1 0
0 0 =1 2
3 4 1 0
0 0 =1 0
3 0 L 0 1
0 0 =1 2
3 4 0 1
0 0 =0 1
0 3
L 0 0
1 0 =1 2
3 4 0 0
1 0 =2 0
4 0 L 0 0
0 1 =1 2
3 4 0 0
0 1 =0 2
0 4
The standard coordinates of these matrices go in as columns. MSS(L) =
1020
0102
3040
0304
(b) Find the matrix representation of Lwith respect to T.
To find MTT(L), substitute each of the basis vectors in Tinto L; then find the coordinates relative to T.
L 1 0
0 1 =1 2
3 4 1 0
0 1 =1 2
3 4 L 1 1
0 0 =1 2
3 4 1 1
0 0 =1 1
3 3
L 1 0
1 0 =1 2
3 4 1 0
1 0 =3 0
7 0 L 0 1
0 0 =1 2
3 4 0 1
0 0 =0 1
0 3
We need to form the matrix [ T|L(T) ] and row reduce to get [ I|MTT(L) ].
11101130
01012101
00103370
10004303
1 1 1 0 1 1 3 0
0 1 0 1 2 1 0 1
0 0 1 0 3 3 7 0
011 0 3 2 3 3
1 0 1 11 0 3 1
0 1 0 1 2 1 0 1
0 0 1 0 3 3 7 0
0 0 1 1 5 3 3 4
10014341
0 1 0 1 2 1 0 1
0 0 1 0 3 3 7 0
0 0 0 1 8 6 4 4
1 0 0 0 4 3 0 3
01006543
0 0 1 0 3 3 7 0
0 0 0 1 8 6 4 4
MTT(L) =
4 3 0 3
6543
3 3 7 0
8 6 4 4
(d) Find the matrix representation of Lwith respect to Tand S.
We need to form the matrix [ S|L(T) ] and row reduce to get [ I|MST(L) ]. Since Sis the standard
basis, and we have already computed what Ldoes to T, there is no work to do.
MST(L) =
1130
2101
3370
4303
pf2

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MATH 240 HOMEWORK 6 NAME

Prof. J. Beachy Wednesday, 11/6/02 Score / 20

If L : V → W is a linear transformation, and S is basis for a V , while T is a basis for W , then we will use MT ←S (L) to denote the matrix of L with respect to the bases S and T.

  1. (p 290 #8) Define L : M 22 → M 22 by L(A) =

[

]

A, for A in M 22. Use the ordered bases

S =

{[

]

[

]

[

]

[

]}

and T =

{[

]

[

]

[

]

[

]}

(a) Find the matrix representation of L with respect to S.

To find MS←S (L), substitute each of the basis vectors in S into L; then find the coordinates relative to S.

L

([

])

[

] [

]

[

]

L

([

])

[

] [

]

[

]

L

([

])

[

] [

]

[

]

L

([

])

[

] [

]

[

]

The standard coordinates of these matrices go in as columns. MS←S (L) =

(b) Find the matrix representation of L with respect to T.

To find MT ←T (L), substitute each of the basis vectors in T into L; then find the coordinates relative to T.

L

([

])

[

] [

]

[

]

L

([

])

[

] [

]

[

]

L

([

])

[

] [

]

[

]

L

([

])

[

] [

]

[

]

We need to form the matrix [ T | L(T ) ] and row reduce to get [ I | MT ←T (L) ].    

 MT^ ←T^ (L) =

(d) Find the matrix representation of L with respect to T and S.

We need to form the matrix [ S | L(T ) ] and row reduce to get [ I | MS←T (L) ]. Since S is the standard basis, and we have already computed what L does to T , there is no work to do.

MS←T (L) =

(c) Find the matrix representation of L with respect to S and T.

We need to form the matrix [ T | L(S) ] and row reduce to get [ I | MT ←S (L) ].    

 MT^ ←S^ (L) =

  1. (p 290 #10) Let L : P 1 → P 2 be defined by L(p(t)) = tp(t) + p(0).

(a) Find the matrix representation of L with respect to the bases S = {t, 1 } for P 1 and T = {t^2 , t, 1 } for P 2.

Comment: This should be easy enough to do directly, without forming the matrix [ T | L(S) ].

L(at + b) = t(at + b) + b = at^2 + bt + b

[

a b

]

a b b

 MT ←S (L) =

(b) Find the matrix representation of L with respect to the bases S′^ = {t + 1, t − 1 } for P 1 and T ′^ = {t^2 + 1, t − 1 , t + 1} for P 2.

We need to form the matrix [ T ′^ | L(S′) ] and row reduce to get [ I | MT ′←S′^ (L) ]. L(t + 1) = t(t + 1) + 1 = t^2 + t + 1 L(t − 1) = t(t − 1) − 1 = t^2 − t − 1  

 MT ′←S′ (L) =

To check this, we have L(t+1) = 1(t^2 +1)+ 12 (t−1)+ 12 (t+1) = t^2 +t+1 L(t−1) = 1(t^2 +1)+ 12 (t−1)− 32 (t+1) = t^2 −t− 1