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).










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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















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).










share|cite|improve this question









New contributor




Danny is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • 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













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).










share|cite|improve this question









New contributor




Danny is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











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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Danny is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











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Check out our Code of Conduct.









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edited yesterday





















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Danny is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Danny is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • 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










  • 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










1 Answer
1






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:



$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$






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  • 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













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1 Answer
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active

oldest

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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:



$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$






share|cite|improve this answer





















  • 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

















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:



$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$






share|cite|improve this answer





















  • 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















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:



$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$






share|cite|improve this answer












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:



$begin{pmatrix}2b+3c\b\cend{pmatrix} = begin{pmatrix}2b\b\0end{pmatrix} + begin{pmatrix}3c\0\cend{pmatrix} = bbegin{pmatrix}2\1\0end{pmatrix} + cbegin{pmatrix}3\0\1end{pmatrix}$







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share|cite|improve this answer



share|cite|improve this answer










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




















  • 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












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