Why ${mathbf{0}}$ has dimension zero?
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According to C.H. Edwards' Advanced Calculus of Several Variables: The dimension of the subspace $V$ is defined to be the minimal number of vectors required to generate $V$ (pp. 4).
Then why does ${mathbf{0}}$ have dimension zero instead of one? Shouldn't it be true that only the empty set has dimension zero?
linear-algebra
add a comment |
up vote
24
down vote
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According to C.H. Edwards' Advanced Calculus of Several Variables: The dimension of the subspace $V$ is defined to be the minimal number of vectors required to generate $V$ (pp. 4).
Then why does ${mathbf{0}}$ have dimension zero instead of one? Shouldn't it be true that only the empty set has dimension zero?
linear-algebra
13
The zero vector itself does not have a dimension. The vector space consisting of only the zero vector has dimension 0. This is because a basis for that vector space is the empty set, and the dimension of a vector space is the cardinality of any basis for that vector space.
– Michael Joyce
Feb 5 '14 at 13:45
1
it is a definition
– Semsem
Feb 5 '14 at 13:57
@MichaelJoyce see this math.stackexchange.com/questions/1315457/…
– user75086
Jun 7 '15 at 8:55
Possibly helpful thought: a countable set has (Hausdorff) dimension zero (as a subset of $mathbb R^n$). The "volume" spanned by the zero vector is zero. Of course if you take a discrete space as the "parent" then it can be different.
– jdods
Aug 6 '16 at 13:42
add a comment |
up vote
24
down vote
favorite
up vote
24
down vote
favorite
According to C.H. Edwards' Advanced Calculus of Several Variables: The dimension of the subspace $V$ is defined to be the minimal number of vectors required to generate $V$ (pp. 4).
Then why does ${mathbf{0}}$ have dimension zero instead of one? Shouldn't it be true that only the empty set has dimension zero?
linear-algebra
According to C.H. Edwards' Advanced Calculus of Several Variables: The dimension of the subspace $V$ is defined to be the minimal number of vectors required to generate $V$ (pp. 4).
Then why does ${mathbf{0}}$ have dimension zero instead of one? Shouldn't it be true that only the empty set has dimension zero?
linear-algebra
linear-algebra
edited Nov 22 at 23:14
asked Feb 5 '14 at 13:40
Qingtian
3131411
3131411
13
The zero vector itself does not have a dimension. The vector space consisting of only the zero vector has dimension 0. This is because a basis for that vector space is the empty set, and the dimension of a vector space is the cardinality of any basis for that vector space.
– Michael Joyce
Feb 5 '14 at 13:45
1
it is a definition
– Semsem
Feb 5 '14 at 13:57
@MichaelJoyce see this math.stackexchange.com/questions/1315457/…
– user75086
Jun 7 '15 at 8:55
Possibly helpful thought: a countable set has (Hausdorff) dimension zero (as a subset of $mathbb R^n$). The "volume" spanned by the zero vector is zero. Of course if you take a discrete space as the "parent" then it can be different.
– jdods
Aug 6 '16 at 13:42
add a comment |
13
The zero vector itself does not have a dimension. The vector space consisting of only the zero vector has dimension 0. This is because a basis for that vector space is the empty set, and the dimension of a vector space is the cardinality of any basis for that vector space.
– Michael Joyce
Feb 5 '14 at 13:45
1
it is a definition
– Semsem
Feb 5 '14 at 13:57
@MichaelJoyce see this math.stackexchange.com/questions/1315457/…
– user75086
Jun 7 '15 at 8:55
Possibly helpful thought: a countable set has (Hausdorff) dimension zero (as a subset of $mathbb R^n$). The "volume" spanned by the zero vector is zero. Of course if you take a discrete space as the "parent" then it can be different.
– jdods
Aug 6 '16 at 13:42
13
13
The zero vector itself does not have a dimension. The vector space consisting of only the zero vector has dimension 0. This is because a basis for that vector space is the empty set, and the dimension of a vector space is the cardinality of any basis for that vector space.
– Michael Joyce
Feb 5 '14 at 13:45
The zero vector itself does not have a dimension. The vector space consisting of only the zero vector has dimension 0. This is because a basis for that vector space is the empty set, and the dimension of a vector space is the cardinality of any basis for that vector space.
– Michael Joyce
Feb 5 '14 at 13:45
1
1
it is a definition
– Semsem
Feb 5 '14 at 13:57
it is a definition
– Semsem
Feb 5 '14 at 13:57
@MichaelJoyce see this math.stackexchange.com/questions/1315457/…
– user75086
Jun 7 '15 at 8:55
@MichaelJoyce see this math.stackexchange.com/questions/1315457/…
– user75086
Jun 7 '15 at 8:55
Possibly helpful thought: a countable set has (Hausdorff) dimension zero (as a subset of $mathbb R^n$). The "volume" spanned by the zero vector is zero. Of course if you take a discrete space as the "parent" then it can be different.
– jdods
Aug 6 '16 at 13:42
Possibly helpful thought: a countable set has (Hausdorff) dimension zero (as a subset of $mathbb R^n$). The "volume" spanned by the zero vector is zero. Of course if you take a discrete space as the "parent" then it can be different.
– jdods
Aug 6 '16 at 13:42
add a comment |
2 Answers
2
active
oldest
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up vote
29
down vote
accepted
A vector by itself doesn't have a dimension. A subspace has a dimension. Why ${mathbf{0}}$ is considered as having dimension $0$? Because of consistency with all other situations. For instance $mathbb{R}^3$ has dimension $3$ because we can find in it a linearly independent set with three elements, but no larger linearly independent set. This applies to vector spaces having a finite spanning set and so of subspaces thereof.
What's the largest linearly independent set in ${mathbf{0}}$? The only subsets in it are the empty set and the whole set. But any set containing the zero vector is linearly dependent; conversely, the empty set is certainly linearly independent (because you can't find a zero linear combination with non zero coefficients out of its elements). So the only linearly independent set in ${mathbf{0}}$ is the empty set that has zero elements.
1
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
1
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
2
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
|
show 2 more comments
up vote
5
down vote
The sum over the empty set is the additive identity... in this case zero.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
29
down vote
accepted
A vector by itself doesn't have a dimension. A subspace has a dimension. Why ${mathbf{0}}$ is considered as having dimension $0$? Because of consistency with all other situations. For instance $mathbb{R}^3$ has dimension $3$ because we can find in it a linearly independent set with three elements, but no larger linearly independent set. This applies to vector spaces having a finite spanning set and so of subspaces thereof.
What's the largest linearly independent set in ${mathbf{0}}$? The only subsets in it are the empty set and the whole set. But any set containing the zero vector is linearly dependent; conversely, the empty set is certainly linearly independent (because you can't find a zero linear combination with non zero coefficients out of its elements). So the only linearly independent set in ${mathbf{0}}$ is the empty set that has zero elements.
1
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
1
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
2
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
|
show 2 more comments
up vote
29
down vote
accepted
A vector by itself doesn't have a dimension. A subspace has a dimension. Why ${mathbf{0}}$ is considered as having dimension $0$? Because of consistency with all other situations. For instance $mathbb{R}^3$ has dimension $3$ because we can find in it a linearly independent set with three elements, but no larger linearly independent set. This applies to vector spaces having a finite spanning set and so of subspaces thereof.
What's the largest linearly independent set in ${mathbf{0}}$? The only subsets in it are the empty set and the whole set. But any set containing the zero vector is linearly dependent; conversely, the empty set is certainly linearly independent (because you can't find a zero linear combination with non zero coefficients out of its elements). So the only linearly independent set in ${mathbf{0}}$ is the empty set that has zero elements.
1
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
1
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
2
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
|
show 2 more comments
up vote
29
down vote
accepted
up vote
29
down vote
accepted
A vector by itself doesn't have a dimension. A subspace has a dimension. Why ${mathbf{0}}$ is considered as having dimension $0$? Because of consistency with all other situations. For instance $mathbb{R}^3$ has dimension $3$ because we can find in it a linearly independent set with three elements, but no larger linearly independent set. This applies to vector spaces having a finite spanning set and so of subspaces thereof.
What's the largest linearly independent set in ${mathbf{0}}$? The only subsets in it are the empty set and the whole set. But any set containing the zero vector is linearly dependent; conversely, the empty set is certainly linearly independent (because you can't find a zero linear combination with non zero coefficients out of its elements). So the only linearly independent set in ${mathbf{0}}$ is the empty set that has zero elements.
A vector by itself doesn't have a dimension. A subspace has a dimension. Why ${mathbf{0}}$ is considered as having dimension $0$? Because of consistency with all other situations. For instance $mathbb{R}^3$ has dimension $3$ because we can find in it a linearly independent set with three elements, but no larger linearly independent set. This applies to vector spaces having a finite spanning set and so of subspaces thereof.
What's the largest linearly independent set in ${mathbf{0}}$? The only subsets in it are the empty set and the whole set. But any set containing the zero vector is linearly dependent; conversely, the empty set is certainly linearly independent (because you can't find a zero linear combination with non zero coefficients out of its elements). So the only linearly independent set in ${mathbf{0}}$ is the empty set that has zero elements.
edited Aug 6 '16 at 20:11
answered Feb 5 '14 at 14:19
egreg
177k1484198
177k1484198
1
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
1
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
2
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
|
show 2 more comments
1
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
1
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
2
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
1
1
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
Very nice. Thanks for pointing out my confusion!
– Qingtian
Feb 5 '14 at 18:05
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
I think it is just a matter of definition! And the reason for such a definition as you said is for consistency with other cases. However, I think that the part that you are saying ${} in {mathbf{0}}$ is not true. Am I right? :)
– H. R.
Aug 6 '16 at 13:26
1
1
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@H.R. Where am I saying that? The only sets of vectors (included) in it...
– egreg
Aug 6 '16 at 14:18
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
@egreg: Specifically, I mean this phrase "The only sets of vectors in it are the empty set and the whole set"
– H. R.
Aug 6 '16 at 14:33
2
2
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
@H.R. Done as requested
– egreg
Aug 6 '16 at 20:12
|
show 2 more comments
up vote
5
down vote
The sum over the empty set is the additive identity... in this case zero.
add a comment |
up vote
5
down vote
The sum over the empty set is the additive identity... in this case zero.
add a comment |
up vote
5
down vote
up vote
5
down vote
The sum over the empty set is the additive identity... in this case zero.
The sum over the empty set is the additive identity... in this case zero.
answered Feb 5 '14 at 13:42
JP McCarthy
5,54912440
5,54912440
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13
The zero vector itself does not have a dimension. The vector space consisting of only the zero vector has dimension 0. This is because a basis for that vector space is the empty set, and the dimension of a vector space is the cardinality of any basis for that vector space.
– Michael Joyce
Feb 5 '14 at 13:45
1
it is a definition
– Semsem
Feb 5 '14 at 13:57
@MichaelJoyce see this math.stackexchange.com/questions/1315457/…
– user75086
Jun 7 '15 at 8:55
Possibly helpful thought: a countable set has (Hausdorff) dimension zero (as a subset of $mathbb R^n$). The "volume" spanned by the zero vector is zero. Of course if you take a discrete space as the "parent" then it can be different.
– jdods
Aug 6 '16 at 13:42