Difference between revisions of "031 Review Part 2, Problem 2"
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2 | 2 | ||
\end{bmatrix}</math> | \end{bmatrix}</math> | ||
− | |||
{| class="mw-collapsible mw-collapsed" style = "text-align:left;" | {| class="mw-collapsible mw-collapsed" style = "text-align:left;" | ||
!Foundations: | !Foundations: | ||
+ | |- | ||
+ | |'''1.''' <math style="vertical-align: -1px">\text{dim Col }A</math> is the number of pivots in <math style="vertical-align: 0px">A.</math> | ||
+ | |- | ||
+ | |'''2.''' A set of vectors <math style="vertical-align: -4px">\{\vec{v_1},\vec{v_2},\ldots,\vec{v_n}\}</math> is linearly independent if | ||
|- | |- | ||
| | | | ||
+ | ::the only solution to <math style="vertical-align: -4px">x_1\vec{v_1}+x_2\vec{v_2}+\cdots+x_n\vec{v_n}=\vec{0}</math> is the trivial solution. | ||
|} | |} | ||
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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 41: | Line 74: | ||
!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 48: | Line 89: | ||
!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 | + | [[031_Review_Part_2|'''<u>Return to Review Problems</u>''']] |
Latest revision as of 13:13, 15 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. |