All basis holds same number of elements
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Claim
All bases for a given vector space V, number of elements in each basis is unique.
Any hint for proving this simple claim?
linear-algebra
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Claim
All bases for a given vector space V, number of elements in each basis is unique.
Any hint for proving this simple claim?
linear-algebra
It's in all the linear algebra textbooks...
â Lord Shark the Unknown
Jun 3 '17 at 13:30
@LordSharktheUnknown I don't want the full proof. Just seeing the answer is not fun at all
â Daschin
Jun 3 '17 at 13:51
Here's my hint then: Gaussian elimination.
â Lord Shark the Unknown
Jun 3 '17 at 13:52
The proof given in Gallian's book Contemporary Abstract Algebra proceeds by contradicton.
â Sean Roberson
Jun 3 '17 at 15:00
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Claim
All bases for a given vector space V, number of elements in each basis is unique.
Any hint for proving this simple claim?
linear-algebra
Claim
All bases for a given vector space V, number of elements in each basis is unique.
Any hint for proving this simple claim?
linear-algebra
linear-algebra
asked Jun 3 '17 at 13:27
Daschin
34819
34819
It's in all the linear algebra textbooks...
â Lord Shark the Unknown
Jun 3 '17 at 13:30
@LordSharktheUnknown I don't want the full proof. Just seeing the answer is not fun at all
â Daschin
Jun 3 '17 at 13:51
Here's my hint then: Gaussian elimination.
â Lord Shark the Unknown
Jun 3 '17 at 13:52
The proof given in Gallian's book Contemporary Abstract Algebra proceeds by contradicton.
â Sean Roberson
Jun 3 '17 at 15:00
add a comment |Â
It's in all the linear algebra textbooks...
â Lord Shark the Unknown
Jun 3 '17 at 13:30
@LordSharktheUnknown I don't want the full proof. Just seeing the answer is not fun at all
â Daschin
Jun 3 '17 at 13:51
Here's my hint then: Gaussian elimination.
â Lord Shark the Unknown
Jun 3 '17 at 13:52
The proof given in Gallian's book Contemporary Abstract Algebra proceeds by contradicton.
â Sean Roberson
Jun 3 '17 at 15:00
It's in all the linear algebra textbooks...
â Lord Shark the Unknown
Jun 3 '17 at 13:30
It's in all the linear algebra textbooks...
â Lord Shark the Unknown
Jun 3 '17 at 13:30
@LordSharktheUnknown I don't want the full proof. Just seeing the answer is not fun at all
â Daschin
Jun 3 '17 at 13:51
@LordSharktheUnknown I don't want the full proof. Just seeing the answer is not fun at all
â Daschin
Jun 3 '17 at 13:51
Here's my hint then: Gaussian elimination.
â Lord Shark the Unknown
Jun 3 '17 at 13:52
Here's my hint then: Gaussian elimination.
â Lord Shark the Unknown
Jun 3 '17 at 13:52
The proof given in Gallian's book Contemporary Abstract Algebra proceeds by contradicton.
â Sean Roberson
Jun 3 '17 at 15:00
The proof given in Gallian's book Contemporary Abstract Algebra proceeds by contradicton.
â Sean Roberson
Jun 3 '17 at 15:00
add a comment |Â
2 Answers
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Well, the proof is easy. We will prove it by contradiction.
Given statement: "All bases for a vector space V, the number of elements in each basis is unique."
Note: I take this statement as "Given a vector space V, then all the bases of the vector space have the same number of elements". This is because the second part of the statement does not make really some sense.
So, the given statement to prove is, "All bases in a vector space V, have the same number of elements".
Let us assume that the statement is false. Therefore, consider two bases of a vector space V, say, $leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $leftlbrace w_1, w_2, ..., w_m rightrbrace$ where, $m neq n$.
We will exploit the fact that all the vectors in a basis for a vector space are linearly independent and also span the vector space. Also, we have a result that if for a vector space with n - vectors in the basis, any set of m vectors such that $m > n$ is linearly independent.
So, we have two sets: $S_1 = leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $S_2 = leftlbrace w_1, w_2, ..., w_m rightrbrace$ in which we claim that $m neq n$ and both are bases for the vector space.
First, consider set $S_1$ to be the basis for the vector space and let $S_2$ be a set of m - linearly independent vectors (since we claim that they are basis vectors, they must be linearly independent). Therefore, we know that $m leq n$.
Similarly, if we take the set $S_2$ to be a set of basis vectors and the set $S_1$ to be a set of n - linearly independent vectors, then we have $n leq m$.
Thus, from these two statements, we have $n leq m$ and $m leq n$. This is true only if $n = m$.
Thus, all the bases of the vector space have the same number of elements.
add a comment |Â
up vote
0
down vote
For finite-dimensional spaces, one can argue as follows: Let $(v_1, ldots, v_n)$ be a basis of $V$. Then we can write the identity map on $V$ as $operatornameId = v_1^* otimes v_1 + cdots + v_n^* otimes v_n$, so
$$
operatornametr(operatornameId) = n,
$$
which is the number of elements in the basis. But the trace of the identity map (or any map) is independent of the basis chosen, so all bases have the same number of elements.
add a comment |Â
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
Well, the proof is easy. We will prove it by contradiction.
Given statement: "All bases for a vector space V, the number of elements in each basis is unique."
Note: I take this statement as "Given a vector space V, then all the bases of the vector space have the same number of elements". This is because the second part of the statement does not make really some sense.
So, the given statement to prove is, "All bases in a vector space V, have the same number of elements".
Let us assume that the statement is false. Therefore, consider two bases of a vector space V, say, $leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $leftlbrace w_1, w_2, ..., w_m rightrbrace$ where, $m neq n$.
We will exploit the fact that all the vectors in a basis for a vector space are linearly independent and also span the vector space. Also, we have a result that if for a vector space with n - vectors in the basis, any set of m vectors such that $m > n$ is linearly independent.
So, we have two sets: $S_1 = leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $S_2 = leftlbrace w_1, w_2, ..., w_m rightrbrace$ in which we claim that $m neq n$ and both are bases for the vector space.
First, consider set $S_1$ to be the basis for the vector space and let $S_2$ be a set of m - linearly independent vectors (since we claim that they are basis vectors, they must be linearly independent). Therefore, we know that $m leq n$.
Similarly, if we take the set $S_2$ to be a set of basis vectors and the set $S_1$ to be a set of n - linearly independent vectors, then we have $n leq m$.
Thus, from these two statements, we have $n leq m$ and $m leq n$. This is true only if $n = m$.
Thus, all the bases of the vector space have the same number of elements.
add a comment |Â
up vote
0
down vote
Well, the proof is easy. We will prove it by contradiction.
Given statement: "All bases for a vector space V, the number of elements in each basis is unique."
Note: I take this statement as "Given a vector space V, then all the bases of the vector space have the same number of elements". This is because the second part of the statement does not make really some sense.
So, the given statement to prove is, "All bases in a vector space V, have the same number of elements".
Let us assume that the statement is false. Therefore, consider two bases of a vector space V, say, $leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $leftlbrace w_1, w_2, ..., w_m rightrbrace$ where, $m neq n$.
We will exploit the fact that all the vectors in a basis for a vector space are linearly independent and also span the vector space. Also, we have a result that if for a vector space with n - vectors in the basis, any set of m vectors such that $m > n$ is linearly independent.
So, we have two sets: $S_1 = leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $S_2 = leftlbrace w_1, w_2, ..., w_m rightrbrace$ in which we claim that $m neq n$ and both are bases for the vector space.
First, consider set $S_1$ to be the basis for the vector space and let $S_2$ be a set of m - linearly independent vectors (since we claim that they are basis vectors, they must be linearly independent). Therefore, we know that $m leq n$.
Similarly, if we take the set $S_2$ to be a set of basis vectors and the set $S_1$ to be a set of n - linearly independent vectors, then we have $n leq m$.
Thus, from these two statements, we have $n leq m$ and $m leq n$. This is true only if $n = m$.
Thus, all the bases of the vector space have the same number of elements.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Well, the proof is easy. We will prove it by contradiction.
Given statement: "All bases for a vector space V, the number of elements in each basis is unique."
Note: I take this statement as "Given a vector space V, then all the bases of the vector space have the same number of elements". This is because the second part of the statement does not make really some sense.
So, the given statement to prove is, "All bases in a vector space V, have the same number of elements".
Let us assume that the statement is false. Therefore, consider two bases of a vector space V, say, $leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $leftlbrace w_1, w_2, ..., w_m rightrbrace$ where, $m neq n$.
We will exploit the fact that all the vectors in a basis for a vector space are linearly independent and also span the vector space. Also, we have a result that if for a vector space with n - vectors in the basis, any set of m vectors such that $m > n$ is linearly independent.
So, we have two sets: $S_1 = leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $S_2 = leftlbrace w_1, w_2, ..., w_m rightrbrace$ in which we claim that $m neq n$ and both are bases for the vector space.
First, consider set $S_1$ to be the basis for the vector space and let $S_2$ be a set of m - linearly independent vectors (since we claim that they are basis vectors, they must be linearly independent). Therefore, we know that $m leq n$.
Similarly, if we take the set $S_2$ to be a set of basis vectors and the set $S_1$ to be a set of n - linearly independent vectors, then we have $n leq m$.
Thus, from these two statements, we have $n leq m$ and $m leq n$. This is true only if $n = m$.
Thus, all the bases of the vector space have the same number of elements.
Well, the proof is easy. We will prove it by contradiction.
Given statement: "All bases for a vector space V, the number of elements in each basis is unique."
Note: I take this statement as "Given a vector space V, then all the bases of the vector space have the same number of elements". This is because the second part of the statement does not make really some sense.
So, the given statement to prove is, "All bases in a vector space V, have the same number of elements".
Let us assume that the statement is false. Therefore, consider two bases of a vector space V, say, $leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $leftlbrace w_1, w_2, ..., w_m rightrbrace$ where, $m neq n$.
We will exploit the fact that all the vectors in a basis for a vector space are linearly independent and also span the vector space. Also, we have a result that if for a vector space with n - vectors in the basis, any set of m vectors such that $m > n$ is linearly independent.
So, we have two sets: $S_1 = leftlbrace v_1, v_2, ..., v_n rightrbrace$ and $S_2 = leftlbrace w_1, w_2, ..., w_m rightrbrace$ in which we claim that $m neq n$ and both are bases for the vector space.
First, consider set $S_1$ to be the basis for the vector space and let $S_2$ be a set of m - linearly independent vectors (since we claim that they are basis vectors, they must be linearly independent). Therefore, we know that $m leq n$.
Similarly, if we take the set $S_2$ to be a set of basis vectors and the set $S_1$ to be a set of n - linearly independent vectors, then we have $n leq m$.
Thus, from these two statements, we have $n leq m$ and $m leq n$. This is true only if $n = m$.
Thus, all the bases of the vector space have the same number of elements.
answered Jun 4 '17 at 5:03
Aniruddha Deshmukh
655417
655417
add a comment |Â
add a comment |Â
up vote
0
down vote
For finite-dimensional spaces, one can argue as follows: Let $(v_1, ldots, v_n)$ be a basis of $V$. Then we can write the identity map on $V$ as $operatornameId = v_1^* otimes v_1 + cdots + v_n^* otimes v_n$, so
$$
operatornametr(operatornameId) = n,
$$
which is the number of elements in the basis. But the trace of the identity map (or any map) is independent of the basis chosen, so all bases have the same number of elements.
add a comment |Â
up vote
0
down vote
For finite-dimensional spaces, one can argue as follows: Let $(v_1, ldots, v_n)$ be a basis of $V$. Then we can write the identity map on $V$ as $operatornameId = v_1^* otimes v_1 + cdots + v_n^* otimes v_n$, so
$$
operatornametr(operatornameId) = n,
$$
which is the number of elements in the basis. But the trace of the identity map (or any map) is independent of the basis chosen, so all bases have the same number of elements.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
For finite-dimensional spaces, one can argue as follows: Let $(v_1, ldots, v_n)$ be a basis of $V$. Then we can write the identity map on $V$ as $operatornameId = v_1^* otimes v_1 + cdots + v_n^* otimes v_n$, so
$$
operatornametr(operatornameId) = n,
$$
which is the number of elements in the basis. But the trace of the identity map (or any map) is independent of the basis chosen, so all bases have the same number of elements.
For finite-dimensional spaces, one can argue as follows: Let $(v_1, ldots, v_n)$ be a basis of $V$. Then we can write the identity map on $V$ as $operatornameId = v_1^* otimes v_1 + cdots + v_n^* otimes v_n$, so
$$
operatornametr(operatornameId) = n,
$$
which is the number of elements in the basis. But the trace of the identity map (or any map) is independent of the basis chosen, so all bases have the same number of elements.
answered Jun 4 '17 at 11:36
Gunnar Ãór Magnússon
3,9231226
3,9231226
add a comment |Â
add a comment |Â
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It's in all the linear algebra textbooks...
â Lord Shark the Unknown
Jun 3 '17 at 13:30
@LordSharktheUnknown I don't want the full proof. Just seeing the answer is not fun at all
â Daschin
Jun 3 '17 at 13:51
Here's my hint then: Gaussian elimination.
â Lord Shark the Unknown
Jun 3 '17 at 13:52
The proof given in Gallian's book Contemporary Abstract Algebra proceeds by contradicton.
â Sean Roberson
Jun 3 '17 at 15:00