Help for finding Bases of Sets
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I'm struggling on a linear algebra assignment where I have to find the basis of the set: $U={left[begin{array}{c}a \b \ cend{array}right]| a,b,cin mathbb R, a=2b+3c}subseteqmathbb R^{3}$. I don't really understand how to do this when I look at other examples. The question first required me to prove that $U$ is a subspace of $mathbb R^{3}$ (I used the subspace test). Now for this basis portion, I know that I need to use a system of equations to find a spanning set and show its linear independence. I got stuck after thinking of how to form a system using only the given information of $a-2b-3c=0$. How would I use linear combinations to find the basis of $U$? Any help would be appreciated. Thanks! (I'm a first year engineering student who is new to vector (sub)spaces, just to give context on my current knowledge).
linear-algebra
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up vote
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I'm struggling on a linear algebra assignment where I have to find the basis of the set: $U={left[begin{array}{c}a \b \ cend{array}right]| a,b,cin mathbb R, a=2b+3c}subseteqmathbb R^{3}$. I don't really understand how to do this when I look at other examples. The question first required me to prove that $U$ is a subspace of $mathbb R^{3}$ (I used the subspace test). Now for this basis portion, I know that I need to use a system of equations to find a spanning set and show its linear independence. I got stuck after thinking of how to form a system using only the given information of $a-2b-3c=0$. How would I use linear combinations to find the basis of $U$? Any help would be appreciated. Thanks! (I'm a first year engineering student who is new to vector (sub)spaces, just to give context on my current knowledge).
linear-algebra
New contributor
Try to view $U$ as the null space of some matrix $A$, then use the standard method for finding a basis for $mathrm{Nul}A$.
– Morgan Rodgers
yesterday
Alternatively, find a nonzero vector in $U$. Then find another one, but not a scalar multiple of the first one. Then argue from geometry that those two vectors form a basis for $U$.
– Gerry Myerson
yesterday
Thank you for the advice.
– Danny
yesterday
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I'm struggling on a linear algebra assignment where I have to find the basis of the set: $U={left[begin{array}{c}a \b \ cend{array}right]| a,b,cin mathbb R, a=2b+3c}subseteqmathbb R^{3}$. I don't really understand how to do this when I look at other examples. The question first required me to prove that $U$ is a subspace of $mathbb R^{3}$ (I used the subspace test). Now for this basis portion, I know that I need to use a system of equations to find a spanning set and show its linear independence. I got stuck after thinking of how to form a system using only the given information of $a-2b-3c=0$. How would I use linear combinations to find the basis of $U$? Any help would be appreciated. Thanks! (I'm a first year engineering student who is new to vector (sub)spaces, just to give context on my current knowledge).
linear-algebra
New contributor
I'm struggling on a linear algebra assignment where I have to find the basis of the set: $U={left[begin{array}{c}a \b \ cend{array}right]| a,b,cin mathbb R, a=2b+3c}subseteqmathbb R^{3}$. I don't really understand how to do this when I look at other examples. The question first required me to prove that $U$ is a subspace of $mathbb R^{3}$ (I used the subspace test). Now for this basis portion, I know that I need to use a system of equations to find a spanning set and show its linear independence. I got stuck after thinking of how to form a system using only the given information of $a-2b-3c=0$. How would I use linear combinations to find the basis of $U$? Any help would be appreciated. Thanks! (I'm a first year engineering student who is new to vector (sub)spaces, just to give context on my current knowledge).
linear-algebra
linear-algebra
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New contributor
edited yesterday
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asked yesterday
Danny
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32
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Try to view $U$ as the null space of some matrix $A$, then use the standard method for finding a basis for $mathrm{Nul}A$.
– Morgan Rodgers
yesterday
Alternatively, find a nonzero vector in $U$. Then find another one, but not a scalar multiple of the first one. Then argue from geometry that those two vectors form a basis for $U$.
– Gerry Myerson
yesterday
Thank you for the advice.
– Danny
yesterday
add a comment |
Try to view $U$ as the null space of some matrix $A$, then use the standard method for finding a basis for $mathrm{Nul}A$.
– Morgan Rodgers
yesterday
Alternatively, find a nonzero vector in $U$. Then find another one, but not a scalar multiple of the first one. Then argue from geometry that those two vectors form a basis for $U$.
– Gerry Myerson
yesterday
Thank you for the advice.
– Danny
yesterday
Try to view $U$ as the null space of some matrix $A$, then use the standard method for finding a basis for $mathrm{Nul}A$.
– Morgan Rodgers
yesterday
Try to view $U$ as the null space of some matrix $A$, then use the standard method for finding a basis for $mathrm{Nul}A$.
– Morgan Rodgers
yesterday
Alternatively, find a nonzero vector in $U$. Then find another one, but not a scalar multiple of the first one. Then argue from geometry that those two vectors form a basis for $U$.
– Gerry Myerson
yesterday
Alternatively, find a nonzero vector in $U$. Then find another one, but not a scalar multiple of the first one. Then argue from geometry that those two vectors form a basis for $U$.
– Gerry Myerson
yesterday
Thank you for the advice.
– Danny
yesterday
Thank you for the advice.
– Danny
yesterday
add a comment |
1 Answer
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0
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There are many choices for a basis for $U$, but one choice becomes fairly obvious if you think of a typical member of $U$ as follows:
$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
There are many choices for a basis for $U$, but one choice becomes fairly obvious if you think of a typical member of $U$ as follows:
$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
add a comment |
up vote
0
down vote
accepted
There are many choices for a basis for $U$, but one choice becomes fairly obvious if you think of a typical member of $U$ as follows:
$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
There are many choices for a basis for $U$, but one choice becomes fairly obvious if you think of a typical member of $U$ as follows:
$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$
There are many choices for a basis for $U$, but one choice becomes fairly obvious if you think of a typical member of $U$ as follows:
$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$
answered yesterday
gandalf61
7,102523
7,102523
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
add a comment |
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
I see, so I just had to show that a is linearly dependent of b and c and form a linear combination to form the matrix. Thank you.
– Danny
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
Well, you already know $a$ is linearly dependent on $b$ and $c$ because you are told that $a=2b+3c$. And now you also know that any vector in U is a linear combination of the two vectors $(2,1,0)^T$ and $(3,0,1)^T$.
– gandalf61
yesterday
add a comment |
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Try to view $U$ as the null space of some matrix $A$, then use the standard method for finding a basis for $mathrm{Nul}A$.
– Morgan Rodgers
yesterday
Alternatively, find a nonzero vector in $U$. Then find another one, but not a scalar multiple of the first one. Then argue from geometry that those two vectors form a basis for $U$.
– Gerry Myerson
yesterday
Thank you for the advice.
– Danny
yesterday