Prove vector sets are linearly independent
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If $X_1,X_2$ and $X_3$ are vectors in $mathbbR^3$ such that $X_1,X_2$ and $X_1,X_3$ are linearly independent sets, then $X_1,X_2,X_3$ is a linearly independent set or not?
since linearly independent sets need to have consistent solution and no variable can be zero. so i am assuming that in $X_1,X_2,X_3$ , $X_2$ could make all variables zero making it linearly dependent? i am not sure it i am correct.
linear-algebra vectors
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If $X_1,X_2$ and $X_3$ are vectors in $mathbbR^3$ such that $X_1,X_2$ and $X_1,X_3$ are linearly independent sets, then $X_1,X_2,X_3$ is a linearly independent set or not?
since linearly independent sets need to have consistent solution and no variable can be zero. so i am assuming that in $X_1,X_2,X_3$ , $X_2$ could make all variables zero making it linearly dependent? i am not sure it i am correct.
linear-algebra vectors
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up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
If $X_1,X_2$ and $X_3$ are vectors in $mathbbR^3$ such that $X_1,X_2$ and $X_1,X_3$ are linearly independent sets, then $X_1,X_2,X_3$ is a linearly independent set or not?
since linearly independent sets need to have consistent solution and no variable can be zero. so i am assuming that in $X_1,X_2,X_3$ , $X_2$ could make all variables zero making it linearly dependent? i am not sure it i am correct.
linear-algebra vectors
If $X_1,X_2$ and $X_3$ are vectors in $mathbbR^3$ such that $X_1,X_2$ and $X_1,X_3$ are linearly independent sets, then $X_1,X_2,X_3$ is a linearly independent set or not?
since linearly independent sets need to have consistent solution and no variable can be zero. so i am assuming that in $X_1,X_2,X_3$ , $X_2$ could make all variables zero making it linearly dependent? i am not sure it i am correct.
linear-algebra vectors
edited Jul 23 at 17:30
mrtaurho
750219
750219
asked Jul 23 at 17:18


Ouila SaRaH
31
31
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3 Answers
3
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accepted
Hint
For a counterexample, let $X_1, X_2$ be linearly independent vectors and take $X_3=2X_2$ for example.
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up vote
0
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Guide:
Think of the situation when $x_2=x_3$. Is it linearly independent? If it is not obvious to you, try to work with concrete example.
What if $x_1, x_2, x_3$ arre the standard unit vectors?
Remark:
- It is unclear to me what do you mean by no variable can be zero or $x_2$ can make all variables zero.
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Only because the two sets of $X_1,X_2$ and $X_1,X_3$ does not guarantees you that either $X_1,X_2,X_3$ or $X_2,X_3$ are linear indenpent. Just consider the three vectors
$$X_1~=~beginpmatrix1\2\3endpmatrix X_2~=~beginpmatrix4\5\6endpmatrix X_3~=~beginpmatrix8\10\12endpmatrix$$
As you can see you restrictions are fullfilled but neither the set $X_2,X_3$ nor the whole set $X_1,X_2,X_3$ are linear independent.
add a comment |Â
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
Hint
For a counterexample, let $X_1, X_2$ be linearly independent vectors and take $X_3=2X_2$ for example.
add a comment |Â
up vote
0
down vote
accepted
Hint
For a counterexample, let $X_1, X_2$ be linearly independent vectors and take $X_3=2X_2$ for example.
add a comment |Â
up vote
0
down vote
accepted
up vote
0
down vote
accepted
Hint
For a counterexample, let $X_1, X_2$ be linearly independent vectors and take $X_3=2X_2$ for example.
Hint
For a counterexample, let $X_1, X_2$ be linearly independent vectors and take $X_3=2X_2$ for example.
answered Jul 23 at 17:29


Foobaz John
18k41245
18k41245
add a comment |Â
add a comment |Â
up vote
0
down vote
Guide:
Think of the situation when $x_2=x_3$. Is it linearly independent? If it is not obvious to you, try to work with concrete example.
What if $x_1, x_2, x_3$ arre the standard unit vectors?
Remark:
- It is unclear to me what do you mean by no variable can be zero or $x_2$ can make all variables zero.
add a comment |Â
up vote
0
down vote
Guide:
Think of the situation when $x_2=x_3$. Is it linearly independent? If it is not obvious to you, try to work with concrete example.
What if $x_1, x_2, x_3$ arre the standard unit vectors?
Remark:
- It is unclear to me what do you mean by no variable can be zero or $x_2$ can make all variables zero.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Guide:
Think of the situation when $x_2=x_3$. Is it linearly independent? If it is not obvious to you, try to work with concrete example.
What if $x_1, x_2, x_3$ arre the standard unit vectors?
Remark:
- It is unclear to me what do you mean by no variable can be zero or $x_2$ can make all variables zero.
Guide:
Think of the situation when $x_2=x_3$. Is it linearly independent? If it is not obvious to you, try to work with concrete example.
What if $x_1, x_2, x_3$ arre the standard unit vectors?
Remark:
- It is unclear to me what do you mean by no variable can be zero or $x_2$ can make all variables zero.
answered Jul 23 at 17:25


Siong Thye Goh
77.4k134795
77.4k134795
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up vote
0
down vote
Only because the two sets of $X_1,X_2$ and $X_1,X_3$ does not guarantees you that either $X_1,X_2,X_3$ or $X_2,X_3$ are linear indenpent. Just consider the three vectors
$$X_1~=~beginpmatrix1\2\3endpmatrix X_2~=~beginpmatrix4\5\6endpmatrix X_3~=~beginpmatrix8\10\12endpmatrix$$
As you can see you restrictions are fullfilled but neither the set $X_2,X_3$ nor the whole set $X_1,X_2,X_3$ are linear independent.
add a comment |Â
up vote
0
down vote
Only because the two sets of $X_1,X_2$ and $X_1,X_3$ does not guarantees you that either $X_1,X_2,X_3$ or $X_2,X_3$ are linear indenpent. Just consider the three vectors
$$X_1~=~beginpmatrix1\2\3endpmatrix X_2~=~beginpmatrix4\5\6endpmatrix X_3~=~beginpmatrix8\10\12endpmatrix$$
As you can see you restrictions are fullfilled but neither the set $X_2,X_3$ nor the whole set $X_1,X_2,X_3$ are linear independent.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Only because the two sets of $X_1,X_2$ and $X_1,X_3$ does not guarantees you that either $X_1,X_2,X_3$ or $X_2,X_3$ are linear indenpent. Just consider the three vectors
$$X_1~=~beginpmatrix1\2\3endpmatrix X_2~=~beginpmatrix4\5\6endpmatrix X_3~=~beginpmatrix8\10\12endpmatrix$$
As you can see you restrictions are fullfilled but neither the set $X_2,X_3$ nor the whole set $X_1,X_2,X_3$ are linear independent.
Only because the two sets of $X_1,X_2$ and $X_1,X_3$ does not guarantees you that either $X_1,X_2,X_3$ or $X_2,X_3$ are linear indenpent. Just consider the three vectors
$$X_1~=~beginpmatrix1\2\3endpmatrix X_2~=~beginpmatrix4\5\6endpmatrix X_3~=~beginpmatrix8\10\12endpmatrix$$
As you can see you restrictions are fullfilled but neither the set $X_2,X_3$ nor the whole set $X_1,X_2,X_3$ are linear independent.
answered Jul 23 at 17:26
mrtaurho
750219
750219
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