)(- 2 3 1 2 3 7. -2 -2 3 -1 1 -1

Algebra and Trigonometry (6th Edition)
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ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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Question
Some Special Matrix Products Let A be an m×n matrix.
8.
-1
Then
4.
Answer:
A
-3
12
and
-4
2
8
-3
OA
1
4
1
AO
-5
6.
7
-20
Aln
A
Im A
In Exercises 5 – 8 compute the given matrix product.
3
-1
1
The first two equalities are easily checked using (3.5.3).
It is not significantly more difficult to verify the last two
equalities using (3.5.3), but we shall verify these equali-
ties using the language of linear mappings, as follows:
5.
1
-3
3
1
3
6.
-2
-2
3
-1
1
-1
LAI, (x) = LALI,(x) = LA(x),
2
3
1
2
3
7.
-2
since LI, (x) = x is the identity map. Therefore AIn
A similar proof verifies that ImA
verification of these equalities using the notions of linear
mappings may appear to be a case of overkill, the next
section contains results where these notions truly simplify
A.
-2
3
-1
1
-1
A. Although the
%3D
2
-1
3
1
7
8.
1
5
-2
-1
1
-1
-5
3
the discussion.
9. Determine all the 2 × 2 matrices B such that AB
ВА
where A is the matrix
Exercises
:)-
2
-1
In Exercises 1 – 4 determine whether or not the matrix prod-
ucts AB or BA can be computed for each given pair of ma-
trices A and B. If the product is possible, perform the com-
putation.
10. Let
a
3
A =
1
and
В -
4
2
1
0.
-2
1. А —
and B =
For which values of a and b does AB = BA?
%3D
-2
1
3
-1
-2
1
2
11. Let
2. А —
4
and B
10
-1
1
-3
A =
-2
1
1
8 0
5
0 1
-5
3. А —
and B =
-1
3
-1
-3 0
-10
3
Let A' is the transpose of the matrix A, as defined in Sec-
tion 1.3. Compute AA".
1
-5
Transcribed Image Text:Some Special Matrix Products Let A be an m×n matrix. 8. -1 Then 4. Answer: A -3 12 and -4 2 8 -3 OA 1 4 1 AO -5 6. 7 -20 Aln A Im A In Exercises 5 – 8 compute the given matrix product. 3 -1 1 The first two equalities are easily checked using (3.5.3). It is not significantly more difficult to verify the last two equalities using (3.5.3), but we shall verify these equali- ties using the language of linear mappings, as follows: 5. 1 -3 3 1 3 6. -2 -2 3 -1 1 -1 LAI, (x) = LALI,(x) = LA(x), 2 3 1 2 3 7. -2 since LI, (x) = x is the identity map. Therefore AIn A similar proof verifies that ImA verification of these equalities using the notions of linear mappings may appear to be a case of overkill, the next section contains results where these notions truly simplify A. -2 3 -1 1 -1 A. Although the %3D 2 -1 3 1 7 8. 1 5 -2 -1 1 -1 -5 3 the discussion. 9. Determine all the 2 × 2 matrices B such that AB ВА where A is the matrix Exercises :)- 2 -1 In Exercises 1 – 4 determine whether or not the matrix prod- ucts AB or BA can be computed for each given pair of ma- trices A and B. If the product is possible, perform the com- putation. 10. Let a 3 A = 1 and В - 4 2 1 0. -2 1. А — and B = For which values of a and b does AB = BA? %3D -2 1 3 -1 -2 1 2 11. Let 2. А — 4 and B 10 -1 1 -3 A = -2 1 1 8 0 5 0 1 -5 3. А — and B = -1 3 -1 -3 0 -10 3 Let A' is the transpose of the matrix A, as defined in Sec- tion 1.3. Compute AA". 1 -5
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