
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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![Question 2
1. Find the basis of the range and the kernel of the following linear trans-
formations.
(a) T: R3 R² such that T() =
-1-2-3
-2-4-6
Z.
[5]
-x+y
(b) T: R3 R³, such that T
=
0
[4]
-x+y
2
1-1 3
(c) T: RR3 such that T() =
I.
[5]
2
1 0
03
-6
2. Let PVR and Q: V→R be linear transformations, where V is
a vector space. Define T: VR2 by T(v) = (P(v), Q(v)).
(a) Show that T is a linear transformation.
[4]
(b) Show that ker T = ker Poker Q, the set of vectors in both ker P
and ker Q.
[5]
3. Let T (R2,S) →> (R2, 7) be defined by T
x1-x2
Find the matrix M representing T when.
(a) S=
(b) S=
= {(~)·()}• T = {(~)·()}·
T=
= {(²)·({}) } = {( -3)·(~})}
(c) In each case (a) and (b) above, calculate T
.T=
by using M.
[6]
[6]
((²))
directly and
[8]](https://content.bartleby.com/qna-images/question/61df6a42-13ad-4413-8d97-1d07dfc3ca7e/a82b8b47-0e11-4a57-87fc-e1fd4491c3a8/xqeyl1g_thumbnail.jpeg)
Transcribed Image Text:Question 2
1. Find the basis of the range and the kernel of the following linear trans-
formations.
(a) T: R3 R² such that T() =
-1-2-3
-2-4-6
Z.
[5]
-x+y
(b) T: R3 R³, such that T
=
0
[4]
-x+y
2
1-1 3
(c) T: RR3 such that T() =
I.
[5]
2
1 0
03
-6
2. Let PVR and Q: V→R be linear transformations, where V is
a vector space. Define T: VR2 by T(v) = (P(v), Q(v)).
(a) Show that T is a linear transformation.
[4]
(b) Show that ker T = ker Poker Q, the set of vectors in both ker P
and ker Q.
[5]
3. Let T (R2,S) →> (R2, 7) be defined by T
x1-x2
Find the matrix M representing T when.
(a) S=
(b) S=
= {(~)·()}• T = {(~)·()}·
T=
= {(²)·({}) } = {( -3)·(~})}
(c) In each case (a) and (b) above, calculate T
.T=
by using M.
[6]
[6]
((²))
directly and
[8]
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