Difference between revisions of "031 Review Part 2, Problem 2"
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{| class="mw-collapsible mw-collapsed" style = "text-align:left;" | {| class="mw-collapsible mw-collapsed" style = "text-align:left;" | ||
!Step 1: | !Step 1: | ||
+ | |- | ||
+ | |We begin by putting these vectors together in a matrix. So, we have | ||
|- | |- | ||
| | | | ||
+ | ::<math> | ||
+ | \begin{bmatrix} | ||
+ | 1 & 3 & -2 & 5 \\ | ||
+ | 0 & 1 & -1 & 2 \\ | ||
+ | 2 & 1 & 1 & 2 | ||
+ | \end{bmatrix}.</math> | ||
+ | |- | ||
+ | |Now, we row reduce this matrix. We get | ||
+ | |- | ||
+ | | | ||
+ | <math>\begin{array}{rcl} | ||
+ | \displaystyle{\left[\begin{array}{cccc} | ||
+ | 1 & 3 & -2 & 5 \\ | ||
+ | 0 & 1 & -1 & 2 \\ | ||
+ | 2 & 1 & 1 & 2 | ||
+ | \end{array}\right]} & \sim & \displaystyle{\left[\begin{array}{cccc} | ||
+ | 1 & 3 & -2 & 5 \\ | ||
+ | 0 & 1 & -1 & 2 \\ | ||
+ | 0 & -5 & 5 & -8 | ||
+ | \end{array}\right]}\\ | ||
+ | &&\\ | ||
+ | & \sim & \displaystyle{\left[\begin{array}{cccc} | ||
+ | 1 & 3 & -2 & 5 \\ | ||
+ | 0 & 1 & -1 & 2 \\ | ||
+ | 0 & 0 & 0 & 2 | ||
+ | \end{array}\right]} | ||
+ | \end{array}</math> | ||
|} | |} | ||
Line 46: | Line 75: | ||
!Step 2: | !Step 2: | ||
|- | |- | ||
− | | | + | |Now, we have 3 pivots in this matrix. So, the dimension of the column space of the matrix we started with is 3. |
+ | |- | ||
+ | |Hence, the dimension of the subspace spanned by these vectors is <math style="vertical-align: 0px">3.</math> | ||
+ | |- | ||
+ | |When we row reduced the matrix, we had a column that did not contain a pivot. | ||
+ | |- | ||
+ | |This means we have a free variable in the system corresponding to <math style="vertical-align: 0px">Ax=0.</math> | ||
+ | |- | ||
+ | |So, these vectors are not linearly independent. | ||
|} | |} | ||
Line 53: | Line 90: | ||
!Final Answer: | !Final Answer: | ||
|- | |- | ||
− | | | + | | The dimension is <math style="vertical-align: 0px">3</math> and the vectors are not linearly independent. |
|} | |} | ||
[[031_Review_Part_2|'''<u>Return to Sample Exam</u>''']] | [[031_Review_Part_2|'''<u>Return to Sample Exam</u>''']] |
Revision as of 07:47, 11 October 2017
Find the dimension of the subspace spanned by the given vectors. Are these vectors linearly independent?
Foundations: |
---|
1. is the number of pivots in |
2. A set of vectors is linearly independent if |
|
Solution:
Step 1: |
---|
We begin by putting these vectors together in a matrix. So, we have |
|
Now, we row reduce this matrix. We get |
|
Step 2: |
---|
Now, we have 3 pivots in this matrix. So, the dimension of the column space of the matrix we started with is 3. |
Hence, the dimension of the subspace spanned by these vectors is |
When we row reduced the matrix, we had a column that did not contain a pivot. |
This means we have a free variable in the system corresponding to |
So, these vectors are not linearly independent. |
Final Answer: |
---|
The dimension is and the vectors are not linearly independent. |