Matrix B was obtained by row reducing A. 2. 5 - 5 5 21 3 7 18 – 19 17 76 11 A = 4 8 -4 12 32 4 1 0 5 5 2 1 1 0 5 5 - 2 -1 0 1 B = 0 0 – 3 – 1 5 1 0 0 What is the dimension of the row space of B? What is the dimension of the row space of A? What is the dimension of the column space of B? What is the dimension of the column space of A? What is the rank of A? Think about what basis vectors you could use for each of the row/column spaces of A and B - it is possible to find them simply from the given information.
Matrix B was obtained by row reducing A. 2. 5 - 5 5 21 3 7 18 – 19 17 76 11 A = 4 8 -4 12 32 4 1 0 5 5 2 1 1 0 5 5 - 2 -1 0 1 B = 0 0 – 3 – 1 5 1 0 0 What is the dimension of the row space of B? What is the dimension of the row space of A? What is the dimension of the column space of B? What is the dimension of the column space of A? What is the rank of A? Think about what basis vectors you could use for each of the row/column spaces of A and B - it is possible to find them simply from the given information.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:Matrix B was obtained by row reducing A.
Г
2 5
- 5
21
3
7 18
– 19 17 76
11
A =
4 8
– 4 12 32
4
1
05
– 2
-1
1 0
- 2
-1
0 1
- 3
-1 5
1
%3D
0 0
0 0
What is the dimension of the row space of B?
What is the dimension of the row space of A?
What is the dimension of the column space of B?
What is the dimension of the column space of A?
What is the rank of A?
Think about what basis vectors you could use for each of the
row/column spaces of A and B - it is possible to find them simply
from the given information.

Transcribed Image Text:2
4
Find the rank of the matrix A
– 6
18
15
4
- 10 -8
rank(A) =
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