Dimension of Vector Space From Constraints
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Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$
I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.
linear-algebra
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add a comment |
$begingroup$
Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$
I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.
linear-algebra
$endgroup$
add a comment |
$begingroup$
Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$
I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.
linear-algebra
$endgroup$
Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$
I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.
linear-algebra
linear-algebra
edited Mar 4 '16 at 2:15
GoodDeeds
10.3k31435
10.3k31435
asked Mar 4 '16 at 2:11
100001100001
17511
17511
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1 Answer
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Hint Your space is the Nullspace of
$$A=begin{bmatrix} 1& 1 &1 & 0 \
1 & 2 &3 &0 end{bmatrix}$$
[the zeros correspond to the fourth variable which is missing from the equation].
Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.
What does the rank-nullity theorem say?
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So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
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– 100001
Mar 4 '16 at 2:21
1
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@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
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– N. S.
Mar 4 '16 at 2:48
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
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– 100001
Mar 4 '16 at 2:55
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$W$ is the Null space of the matrix ;)
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– N. S.
Mar 4 '16 at 3:34
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I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
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– 100001
Mar 4 '16 at 3:41
|
show 1 more comment
Your Answer
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1 Answer
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1 Answer
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$begingroup$
Hint Your space is the Nullspace of
$$A=begin{bmatrix} 1& 1 &1 & 0 \
1 & 2 &3 &0 end{bmatrix}$$
[the zeros correspond to the fourth variable which is missing from the equation].
Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.
What does the rank-nullity theorem say?
$endgroup$
$begingroup$
So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
$endgroup$
– 100001
Mar 4 '16 at 2:21
1
$begingroup$
@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
$endgroup$
– N. S.
Mar 4 '16 at 2:48
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
$endgroup$
– 100001
Mar 4 '16 at 2:55
$begingroup$
$W$ is the Null space of the matrix ;)
$endgroup$
– N. S.
Mar 4 '16 at 3:34
$begingroup$
I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
$endgroup$
– 100001
Mar 4 '16 at 3:41
|
show 1 more comment
$begingroup$
Hint Your space is the Nullspace of
$$A=begin{bmatrix} 1& 1 &1 & 0 \
1 & 2 &3 &0 end{bmatrix}$$
[the zeros correspond to the fourth variable which is missing from the equation].
Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.
What does the rank-nullity theorem say?
$endgroup$
$begingroup$
So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
$endgroup$
– 100001
Mar 4 '16 at 2:21
1
$begingroup$
@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
$endgroup$
– N. S.
Mar 4 '16 at 2:48
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
$endgroup$
– 100001
Mar 4 '16 at 2:55
$begingroup$
$W$ is the Null space of the matrix ;)
$endgroup$
– N. S.
Mar 4 '16 at 3:34
$begingroup$
I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
$endgroup$
– 100001
Mar 4 '16 at 3:41
|
show 1 more comment
$begingroup$
Hint Your space is the Nullspace of
$$A=begin{bmatrix} 1& 1 &1 & 0 \
1 & 2 &3 &0 end{bmatrix}$$
[the zeros correspond to the fourth variable which is missing from the equation].
Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.
What does the rank-nullity theorem say?
$endgroup$
Hint Your space is the Nullspace of
$$A=begin{bmatrix} 1& 1 &1 & 0 \
1 & 2 &3 &0 end{bmatrix}$$
[the zeros correspond to the fourth variable which is missing from the equation].
Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.
What does the rank-nullity theorem say?
edited Jan 30 at 17:49


Martin Sleziak
44.9k10122277
44.9k10122277
answered Mar 4 '16 at 2:16
N. S.N. S.
105k7114210
105k7114210
$begingroup$
So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
$endgroup$
– 100001
Mar 4 '16 at 2:21
1
$begingroup$
@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
$endgroup$
– N. S.
Mar 4 '16 at 2:48
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
$endgroup$
– 100001
Mar 4 '16 at 2:55
$begingroup$
$W$ is the Null space of the matrix ;)
$endgroup$
– N. S.
Mar 4 '16 at 3:34
$begingroup$
I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
$endgroup$
– 100001
Mar 4 '16 at 3:41
|
show 1 more comment
$begingroup$
So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
$endgroup$
– 100001
Mar 4 '16 at 2:21
1
$begingroup$
@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
$endgroup$
– N. S.
Mar 4 '16 at 2:48
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
$endgroup$
– 100001
Mar 4 '16 at 2:55
$begingroup$
$W$ is the Null space of the matrix ;)
$endgroup$
– N. S.
Mar 4 '16 at 3:34
$begingroup$
I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
$endgroup$
– 100001
Mar 4 '16 at 3:41
$begingroup$
So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
$endgroup$
– 100001
Mar 4 '16 at 2:21
$begingroup$
So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
$endgroup$
– 100001
Mar 4 '16 at 2:21
1
1
$begingroup$
@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
$endgroup$
– N. S.
Mar 4 '16 at 2:48
$begingroup$
@MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
$endgroup$
– N. S.
Mar 4 '16 at 2:48
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
$endgroup$
– 100001
Mar 4 '16 at 2:55
$begingroup$
So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
$endgroup$
– 100001
Mar 4 '16 at 2:55
$begingroup$
$W$ is the Null space of the matrix ;)
$endgroup$
– N. S.
Mar 4 '16 at 3:34
$begingroup$
$W$ is the Null space of the matrix ;)
$endgroup$
– N. S.
Mar 4 '16 at 3:34
$begingroup$
I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
$endgroup$
– 100001
Mar 4 '16 at 3:41
$begingroup$
I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
$endgroup$
– 100001
Mar 4 '16 at 3:41
|
show 1 more comment
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