Show that if some base can show as linear combination, then vectors in linear combination is linear indepedent
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Let $Bs=e_1,e_2,...,e_n$ is standard base $mathbb R^n$. If $x_1,x_2,...,x_n$ vectors from space $R^n$ such that $e_iin L(x_1,x_2,...,x_n)$, $i=1:n$ then set $x_1,x_2,...x_n$ is base of space $mathbb R^n$?.
My answer is yes.
First I write $alpha_1e_1+alpha_2e_2+...+alpha_ne_n=0$. Since $e_iin L(x_1,x_2,...,x_n)$ we can write every vector in base $Bs$ as linear combination of $x_1,x_2,...,x_n$. For example:
$beginmatrix
e_1=a_11x_1+a_21x_2+...+a_n1x_n\
e_2=a_12x_1+a_22x_2+...+a_n2x_n\
.........................\
e_n=a_1nx_1+a_2nx_2+...+a_nnx_n
endmatrix$
then $0=x1(alpha_1a_11+alpha_2a_12+...+alpha_na_1n)+x2(alpha_1a_21+alpha_2a_22+...+alpha_na_2n)+...+xn(alpha_1a_n1+alpha_2a_n2+...+alpha_na_nn)$
If we suppose opposite that this vectors is linear dependent, then one vector can be write as linear combination of other vectors, for example if I use $x_n$ to write as linear combination, then $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0$ because we can not divide something with zero, if we put $(alpha_10+alpha_20+...+alpha_na_nn)not=0$ then $alpha_n not=0$,so now we have $0e_1+0e_2+...+alpha_ne_n=0$, then $e_n=0$ but it is not true, so $ L(x_1,x_2,...,x_n)$ is base of $mathbb R^n$, is this ok?
linear-algebra vector-spaces
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up vote
6
down vote
favorite
Let $Bs=e_1,e_2,...,e_n$ is standard base $mathbb R^n$. If $x_1,x_2,...,x_n$ vectors from space $R^n$ such that $e_iin L(x_1,x_2,...,x_n)$, $i=1:n$ then set $x_1,x_2,...x_n$ is base of space $mathbb R^n$?.
My answer is yes.
First I write $alpha_1e_1+alpha_2e_2+...+alpha_ne_n=0$. Since $e_iin L(x_1,x_2,...,x_n)$ we can write every vector in base $Bs$ as linear combination of $x_1,x_2,...,x_n$. For example:
$beginmatrix
e_1=a_11x_1+a_21x_2+...+a_n1x_n\
e_2=a_12x_1+a_22x_2+...+a_n2x_n\
.........................\
e_n=a_1nx_1+a_2nx_2+...+a_nnx_n
endmatrix$
then $0=x1(alpha_1a_11+alpha_2a_12+...+alpha_na_1n)+x2(alpha_1a_21+alpha_2a_22+...+alpha_na_2n)+...+xn(alpha_1a_n1+alpha_2a_n2+...+alpha_na_nn)$
If we suppose opposite that this vectors is linear dependent, then one vector can be write as linear combination of other vectors, for example if I use $x_n$ to write as linear combination, then $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0$ because we can not divide something with zero, if we put $(alpha_10+alpha_20+...+alpha_na_nn)not=0$ then $alpha_n not=0$,so now we have $0e_1+0e_2+...+alpha_ne_n=0$, then $e_n=0$ but it is not true, so $ L(x_1,x_2,...,x_n)$ is base of $mathbb R^n$, is this ok?
linear-algebra vector-spaces
What do you mean you "put ($alpha_1 0 + alpha_2 0 + cdots alpha_n a_n,n) neq 0$"? $a_i,j$ are determined once $(x_j)$ is given and cannot be alternated.
â xbh
Sep 2 at 8:14
I just put that $alpha1 alpha2...$ can be zero but one must not be zero
â Marko à  koriÃÂ
Sep 2 at 8:16
According to your notation all $alpha_j = 0$.
â xbh
Sep 2 at 8:17
i show that it must be because this vector is linear independent
â Marko à  koriÃÂ
Sep 2 at 8:19
I think you have messed up the notation. Maybe you want to write $alpha_1 x_1 + alpha_2 x_2 + cdots +alpha_n x_n = 0$.
â xbh
Sep 2 at 8:21
add a comment |Â
up vote
6
down vote
favorite
up vote
6
down vote
favorite
Let $Bs=e_1,e_2,...,e_n$ is standard base $mathbb R^n$. If $x_1,x_2,...,x_n$ vectors from space $R^n$ such that $e_iin L(x_1,x_2,...,x_n)$, $i=1:n$ then set $x_1,x_2,...x_n$ is base of space $mathbb R^n$?.
My answer is yes.
First I write $alpha_1e_1+alpha_2e_2+...+alpha_ne_n=0$. Since $e_iin L(x_1,x_2,...,x_n)$ we can write every vector in base $Bs$ as linear combination of $x_1,x_2,...,x_n$. For example:
$beginmatrix
e_1=a_11x_1+a_21x_2+...+a_n1x_n\
e_2=a_12x_1+a_22x_2+...+a_n2x_n\
.........................\
e_n=a_1nx_1+a_2nx_2+...+a_nnx_n
endmatrix$
then $0=x1(alpha_1a_11+alpha_2a_12+...+alpha_na_1n)+x2(alpha_1a_21+alpha_2a_22+...+alpha_na_2n)+...+xn(alpha_1a_n1+alpha_2a_n2+...+alpha_na_nn)$
If we suppose opposite that this vectors is linear dependent, then one vector can be write as linear combination of other vectors, for example if I use $x_n$ to write as linear combination, then $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0$ because we can not divide something with zero, if we put $(alpha_10+alpha_20+...+alpha_na_nn)not=0$ then $alpha_n not=0$,so now we have $0e_1+0e_2+...+alpha_ne_n=0$, then $e_n=0$ but it is not true, so $ L(x_1,x_2,...,x_n)$ is base of $mathbb R^n$, is this ok?
linear-algebra vector-spaces
Let $Bs=e_1,e_2,...,e_n$ is standard base $mathbb R^n$. If $x_1,x_2,...,x_n$ vectors from space $R^n$ such that $e_iin L(x_1,x_2,...,x_n)$, $i=1:n$ then set $x_1,x_2,...x_n$ is base of space $mathbb R^n$?.
My answer is yes.
First I write $alpha_1e_1+alpha_2e_2+...+alpha_ne_n=0$. Since $e_iin L(x_1,x_2,...,x_n)$ we can write every vector in base $Bs$ as linear combination of $x_1,x_2,...,x_n$. For example:
$beginmatrix
e_1=a_11x_1+a_21x_2+...+a_n1x_n\
e_2=a_12x_1+a_22x_2+...+a_n2x_n\
.........................\
e_n=a_1nx_1+a_2nx_2+...+a_nnx_n
endmatrix$
then $0=x1(alpha_1a_11+alpha_2a_12+...+alpha_na_1n)+x2(alpha_1a_21+alpha_2a_22+...+alpha_na_2n)+...+xn(alpha_1a_n1+alpha_2a_n2+...+alpha_na_nn)$
If we suppose opposite that this vectors is linear dependent, then one vector can be write as linear combination of other vectors, for example if I use $x_n$ to write as linear combination, then $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0$ because we can not divide something with zero, if we put $(alpha_10+alpha_20+...+alpha_na_nn)not=0$ then $alpha_n not=0$,so now we have $0e_1+0e_2+...+alpha_ne_n=0$, then $e_n=0$ but it is not true, so $ L(x_1,x_2,...,x_n)$ is base of $mathbb R^n$, is this ok?
linear-algebra vector-spaces
linear-algebra vector-spaces
edited Sep 2 at 8:13
José Carlos Santos
121k16101186
121k16101186
asked Sep 2 at 7:54
Marko à  koriÃÂ
3918
3918
What do you mean you "put ($alpha_1 0 + alpha_2 0 + cdots alpha_n a_n,n) neq 0$"? $a_i,j$ are determined once $(x_j)$ is given and cannot be alternated.
â xbh
Sep 2 at 8:14
I just put that $alpha1 alpha2...$ can be zero but one must not be zero
â Marko à  koriÃÂ
Sep 2 at 8:16
According to your notation all $alpha_j = 0$.
â xbh
Sep 2 at 8:17
i show that it must be because this vector is linear independent
â Marko à  koriÃÂ
Sep 2 at 8:19
I think you have messed up the notation. Maybe you want to write $alpha_1 x_1 + alpha_2 x_2 + cdots +alpha_n x_n = 0$.
â xbh
Sep 2 at 8:21
add a comment |Â
What do you mean you "put ($alpha_1 0 + alpha_2 0 + cdots alpha_n a_n,n) neq 0$"? $a_i,j$ are determined once $(x_j)$ is given and cannot be alternated.
â xbh
Sep 2 at 8:14
I just put that $alpha1 alpha2...$ can be zero but one must not be zero
â Marko à  koriÃÂ
Sep 2 at 8:16
According to your notation all $alpha_j = 0$.
â xbh
Sep 2 at 8:17
i show that it must be because this vector is linear independent
â Marko à  koriÃÂ
Sep 2 at 8:19
I think you have messed up the notation. Maybe you want to write $alpha_1 x_1 + alpha_2 x_2 + cdots +alpha_n x_n = 0$.
â xbh
Sep 2 at 8:21
What do you mean you "put ($alpha_1 0 + alpha_2 0 + cdots alpha_n a_n,n) neq 0$"? $a_i,j$ are determined once $(x_j)$ is given and cannot be alternated.
â xbh
Sep 2 at 8:14
What do you mean you "put ($alpha_1 0 + alpha_2 0 + cdots alpha_n a_n,n) neq 0$"? $a_i,j$ are determined once $(x_j)$ is given and cannot be alternated.
â xbh
Sep 2 at 8:14
I just put that $alpha1 alpha2...$ can be zero but one must not be zero
â Marko à  koriÃÂ
Sep 2 at 8:16
I just put that $alpha1 alpha2...$ can be zero but one must not be zero
â Marko à  koriÃÂ
Sep 2 at 8:16
According to your notation all $alpha_j = 0$.
â xbh
Sep 2 at 8:17
According to your notation all $alpha_j = 0$.
â xbh
Sep 2 at 8:17
i show that it must be because this vector is linear independent
â Marko à  koriÃÂ
Sep 2 at 8:19
i show that it must be because this vector is linear independent
â Marko à  koriÃÂ
Sep 2 at 8:19
I think you have messed up the notation. Maybe you want to write $alpha_1 x_1 + alpha_2 x_2 + cdots +alpha_n x_n = 0$.
â xbh
Sep 2 at 8:21
I think you have messed up the notation. Maybe you want to write $alpha_1 x_1 + alpha_2 x_2 + cdots +alpha_n x_n = 0$.
â xbh
Sep 2 at 8:21
add a comment |Â
1 Answer
1
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up vote
2
down vote
accepted
I donâÂÂt understand how you move from $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0
$ to $(alpha_1 0+alpha_2 0+...+alpha_nna_1n)not=0$?
However I would use the proof below.
Another proof
$(x_1,dots,x_n)$ spans $(e_1,dots,e_n)$ and therefore spans $mathbb R^n$. As $(x_1,dots,x_n)$ has $n$ elements, $(x_1,dots,x_n)$ is a minimal family of vectors that spans $mathbb R^n$. Hence $(x_1,dots,x_n)$ is linearly independent and is a basis.
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
I donâÂÂt understand how you move from $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0
$ to $(alpha_1 0+alpha_2 0+...+alpha_nna_1n)not=0$?
However I would use the proof below.
Another proof
$(x_1,dots,x_n)$ spans $(e_1,dots,e_n)$ and therefore spans $mathbb R^n$. As $(x_1,dots,x_n)$ has $n$ elements, $(x_1,dots,x_n)$ is a minimal family of vectors that spans $mathbb R^n$. Hence $(x_1,dots,x_n)$ is linearly independent and is a basis.
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
add a comment |Â
up vote
2
down vote
accepted
I donâÂÂt understand how you move from $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0
$ to $(alpha_1 0+alpha_2 0+...+alpha_nna_1n)not=0$?
However I would use the proof below.
Another proof
$(x_1,dots,x_n)$ spans $(e_1,dots,e_n)$ and therefore spans $mathbb R^n$. As $(x_1,dots,x_n)$ has $n$ elements, $(x_1,dots,x_n)$ is a minimal family of vectors that spans $mathbb R^n$. Hence $(x_1,dots,x_n)$ is linearly independent and is a basis.
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
add a comment |Â
up vote
2
down vote
accepted
up vote
2
down vote
accepted
I donâÂÂt understand how you move from $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0
$ to $(alpha_1 0+alpha_2 0+...+alpha_nna_1n)not=0$?
However I would use the proof below.
Another proof
$(x_1,dots,x_n)$ spans $(e_1,dots,e_n)$ and therefore spans $mathbb R^n$. As $(x_1,dots,x_n)$ has $n$ elements, $(x_1,dots,x_n)$ is a minimal family of vectors that spans $mathbb R^n$. Hence $(x_1,dots,x_n)$ is linearly independent and is a basis.
I donâÂÂt understand how you move from $(alpha_1a_n1+alpha_2a_n2+...+alpha_nna_1n)not=0
$ to $(alpha_1 0+alpha_2 0+...+alpha_nna_1n)not=0$?
However I would use the proof below.
Another proof
$(x_1,dots,x_n)$ spans $(e_1,dots,e_n)$ and therefore spans $mathbb R^n$. As $(x_1,dots,x_n)$ has $n$ elements, $(x_1,dots,x_n)$ is a minimal family of vectors that spans $mathbb R^n$. Hence $(x_1,dots,x_n)$ is linearly independent and is a basis.
answered Sep 2 at 8:09
mathcounterexamples.net
25.7k21754
25.7k21754
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
add a comment |Â
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
i just put some number to show that is not zero, yes I know for that, but I just want to show everything because i have very strict proffesor
â Marko à  koriÃÂ
Sep 2 at 8:14
add a comment |Â
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What do you mean you "put ($alpha_1 0 + alpha_2 0 + cdots alpha_n a_n,n) neq 0$"? $a_i,j$ are determined once $(x_j)$ is given and cannot be alternated.
â xbh
Sep 2 at 8:14
I just put that $alpha1 alpha2...$ can be zero but one must not be zero
â Marko à  koriÃÂ
Sep 2 at 8:16
According to your notation all $alpha_j = 0$.
â xbh
Sep 2 at 8:17
i show that it must be because this vector is linear independent
â Marko à  koriÃÂ
Sep 2 at 8:19
I think you have messed up the notation. Maybe you want to write $alpha_1 x_1 + alpha_2 x_2 + cdots +alpha_n x_n = 0$.
â xbh
Sep 2 at 8:21