Difference between revisions of "031 Review Part 2, Problem 2"
Jump to navigation
Jump to search
Kayla Murray (talk | contribs) |
Kayla Murray (talk | contribs) |
||
| (One intermediate revision by the same user not shown) | |||
| Line 21: | Line 21: | ||
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;" | ||
| Line 39: | Line 38: | ||
{| 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 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 53: | 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. |