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?










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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















up vote
24
down vote

favorite
13












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?










share|cite|improve this question




















  • 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













up vote
24
down vote

favorite
13









up vote
24
down vote

favorite
13






13





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?










share|cite|improve this question















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






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share|cite|improve this question













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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














  • 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










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.






share|cite|improve this answer



















  • 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


















up vote
5
down vote













The sum over the empty set is the additive identity... in this case zero.






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    2 Answers
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    2 Answers
    2






    active

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    active

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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.






    share|cite|improve this answer



















    • 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















    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.






    share|cite|improve this answer



















    • 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













    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.






    share|cite|improve this answer














    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.







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    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














    • 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










    up vote
    5
    down vote













    The sum over the empty set is the additive identity... in this case zero.






    share|cite|improve this answer

























      up vote
      5
      down vote













      The sum over the empty set is the additive identity... in this case zero.






      share|cite|improve this answer























        up vote
        5
        down vote










        up vote
        5
        down vote









        The sum over the empty set is the additive identity... in this case zero.






        share|cite|improve this answer












        The sum over the empty set is the additive identity... in this case zero.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Feb 5 '14 at 13:42









        JP McCarthy

        5,54912440




        5,54912440






























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