Algebra and Trigonometry (6th Edition)
6th Edition
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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Topic Video
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F562d0a5e-72d4-4cf9-bb2d-510135ae1193%2F61ba624f-5b4c-4355-be4f-2ea4f9ae87b9%2F9hwndac_processed.png&w=3840&q=75)
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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