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Do the eight axioms of vector space imply closure?


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}







3












$begingroup$


This post is similar to my question but I do not quite understand the explanation.



Usually, when we try to prove whether a set is a vector space, we will check closure on summation and multiplication, as well as the axioms of vector space.



But, why books like Linear Algebra Done Wrong, when they talk about vector space, they only talk about the 8 axioms?



I am wondering if it is somewhere inside definitions or from the 8 axioms.










share|cite|improve this question











$endgroup$














  • $begingroup$
    Actually, there is only one axiom for vector spaces. "A vectors space over a field $k$ is an abelian group together with an action of $k$" ;)
    $endgroup$
    – Hagen von Eitzen
    2 days ago










  • $begingroup$
    @HagenvonEitzen: How do you define action of $k$?
    $endgroup$
    – Shahab
    2 days ago


















3












$begingroup$


This post is similar to my question but I do not quite understand the explanation.



Usually, when we try to prove whether a set is a vector space, we will check closure on summation and multiplication, as well as the axioms of vector space.



But, why books like Linear Algebra Done Wrong, when they talk about vector space, they only talk about the 8 axioms?



I am wondering if it is somewhere inside definitions or from the 8 axioms.










share|cite|improve this question











$endgroup$














  • $begingroup$
    Actually, there is only one axiom for vector spaces. "A vectors space over a field $k$ is an abelian group together with an action of $k$" ;)
    $endgroup$
    – Hagen von Eitzen
    2 days ago










  • $begingroup$
    @HagenvonEitzen: How do you define action of $k$?
    $endgroup$
    – Shahab
    2 days ago














3












3








3


1



$begingroup$


This post is similar to my question but I do not quite understand the explanation.



Usually, when we try to prove whether a set is a vector space, we will check closure on summation and multiplication, as well as the axioms of vector space.



But, why books like Linear Algebra Done Wrong, when they talk about vector space, they only talk about the 8 axioms?



I am wondering if it is somewhere inside definitions or from the 8 axioms.










share|cite|improve this question











$endgroup$




This post is similar to my question but I do not quite understand the explanation.



Usually, when we try to prove whether a set is a vector space, we will check closure on summation and multiplication, as well as the axioms of vector space.



But, why books like Linear Algebra Done Wrong, when they talk about vector space, they only talk about the 8 axioms?



I am wondering if it is somewhere inside definitions or from the 8 axioms.







linear-algebra






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited 2 days ago









dmtri

1,8212 gold badges5 silver badges21 bronze badges




1,8212 gold badges5 silver badges21 bronze badges










asked 2 days ago









JOHN JOHN

5131 silver badge10 bronze badges




5131 silver badge10 bronze badges















  • $begingroup$
    Actually, there is only one axiom for vector spaces. "A vectors space over a field $k$ is an abelian group together with an action of $k$" ;)
    $endgroup$
    – Hagen von Eitzen
    2 days ago










  • $begingroup$
    @HagenvonEitzen: How do you define action of $k$?
    $endgroup$
    – Shahab
    2 days ago


















  • $begingroup$
    Actually, there is only one axiom for vector spaces. "A vectors space over a field $k$ is an abelian group together with an action of $k$" ;)
    $endgroup$
    – Hagen von Eitzen
    2 days ago










  • $begingroup$
    @HagenvonEitzen: How do you define action of $k$?
    $endgroup$
    – Shahab
    2 days ago
















$begingroup$
Actually, there is only one axiom for vector spaces. "A vectors space over a field $k$ is an abelian group together with an action of $k$" ;)
$endgroup$
– Hagen von Eitzen
2 days ago




$begingroup$
Actually, there is only one axiom for vector spaces. "A vectors space over a field $k$ is an abelian group together with an action of $k$" ;)
$endgroup$
– Hagen von Eitzen
2 days ago












$begingroup$
@HagenvonEitzen: How do you define action of $k$?
$endgroup$
– Shahab
2 days ago




$begingroup$
@HagenvonEitzen: How do you define action of $k$?
$endgroup$
– Shahab
2 days ago










2 Answers
2






active

oldest

votes


















8












$begingroup$

Treil says "A vector space $V$ is a collection of objects, called vectors..., along with two operations, addition of vectors and multiplication by a number (scalar), such that ...".



He is using operation in sense of functions ${+}: V times Vto V$ and $ cdot: {mathbb F} times V to V$. In particular he is assuming closure as part of the defintion of an operation. When you need to check (for instance) that a subset $W$ of a vector space $V$ is itself a vector space (under the "same" operations), that means you need to check that $+$ and $cdot $ are in fact operations on $W$. This requires that you check $W$ is closed under addition and scalar multiplication.






share|cite|improve this answer









$endgroup$















  • $begingroup$
    for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
    $endgroup$
    – JOHN
    2 days ago










  • $begingroup$
    Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
    $endgroup$
    – G Tony Jacobs
    2 days ago










  • $begingroup$
    @John: You may want to read about binary operation for context.
    $endgroup$
    – Shahab
    2 days ago



















1












$begingroup$

The OP should note that we usually denote a function from $V times V$ to $V$ by a letter, say $f$, and write



$$ f: V times V to V$$



and denote the image of $(v,w) in V times V$ under $f$, an element in $V$, by $f(v,w)$.



Now if the operation is addition, $+$, of vectors, we find it both convenient and illuminating to use $vec v + vec w$ as opposed to $+(v,w)$.



Again, we might want to use some letter $f$ to denote a function from $Bbb R times V$ to $V$, so that if $alpha in Bbb R$ and $v in V$ the image under $f$ of $(alpha,v)$ is denoted by $f(alpha,v)$.



But if the operation is scalar multiplication of a vector, $cdot$, we find it both convenient and illuminating to use $alpha cdot vec v$ as opposed to



$$cdot(alpha,v)$$



In fact, when multiplying by a scalar, the multiplication symbol is usually dropped when no ambiguity can occur, and juxtaposition of the scalar on the left of the vector is an appreciated notation/convention,



$$ alpha vec v$$



Note that in 1. Vector spaces of the book the author uses juxtaposition for scalar multiplication; see also the first example in 1.1. Examples.






share|cite|improve this answer











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    2 Answers
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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    8












    $begingroup$

    Treil says "A vector space $V$ is a collection of objects, called vectors..., along with two operations, addition of vectors and multiplication by a number (scalar), such that ...".



    He is using operation in sense of functions ${+}: V times Vto V$ and $ cdot: {mathbb F} times V to V$. In particular he is assuming closure as part of the defintion of an operation. When you need to check (for instance) that a subset $W$ of a vector space $V$ is itself a vector space (under the "same" operations), that means you need to check that $+$ and $cdot $ are in fact operations on $W$. This requires that you check $W$ is closed under addition and scalar multiplication.






    share|cite|improve this answer









    $endgroup$















    • $begingroup$
      for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
      $endgroup$
      – JOHN
      2 days ago










    • $begingroup$
      Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
      $endgroup$
      – G Tony Jacobs
      2 days ago










    • $begingroup$
      @John: You may want to read about binary operation for context.
      $endgroup$
      – Shahab
      2 days ago
















    8












    $begingroup$

    Treil says "A vector space $V$ is a collection of objects, called vectors..., along with two operations, addition of vectors and multiplication by a number (scalar), such that ...".



    He is using operation in sense of functions ${+}: V times Vto V$ and $ cdot: {mathbb F} times V to V$. In particular he is assuming closure as part of the defintion of an operation. When you need to check (for instance) that a subset $W$ of a vector space $V$ is itself a vector space (under the "same" operations), that means you need to check that $+$ and $cdot $ are in fact operations on $W$. This requires that you check $W$ is closed under addition and scalar multiplication.






    share|cite|improve this answer









    $endgroup$















    • $begingroup$
      for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
      $endgroup$
      – JOHN
      2 days ago










    • $begingroup$
      Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
      $endgroup$
      – G Tony Jacobs
      2 days ago










    • $begingroup$
      @John: You may want to read about binary operation for context.
      $endgroup$
      – Shahab
      2 days ago














    8












    8








    8





    $begingroup$

    Treil says "A vector space $V$ is a collection of objects, called vectors..., along with two operations, addition of vectors and multiplication by a number (scalar), such that ...".



    He is using operation in sense of functions ${+}: V times Vto V$ and $ cdot: {mathbb F} times V to V$. In particular he is assuming closure as part of the defintion of an operation. When you need to check (for instance) that a subset $W$ of a vector space $V$ is itself a vector space (under the "same" operations), that means you need to check that $+$ and $cdot $ are in fact operations on $W$. This requires that you check $W$ is closed under addition and scalar multiplication.






    share|cite|improve this answer









    $endgroup$



    Treil says "A vector space $V$ is a collection of objects, called vectors..., along with two operations, addition of vectors and multiplication by a number (scalar), such that ...".



    He is using operation in sense of functions ${+}: V times Vto V$ and $ cdot: {mathbb F} times V to V$. In particular he is assuming closure as part of the defintion of an operation. When you need to check (for instance) that a subset $W$ of a vector space $V$ is itself a vector space (under the "same" operations), that means you need to check that $+$ and $cdot $ are in fact operations on $W$. This requires that you check $W$ is closed under addition and scalar multiplication.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered 2 days ago









    Jamie RadcliffeJamie Radcliffe

    5263 silver badges5 bronze badges




    5263 silver badges5 bronze badges















    • $begingroup$
      for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
      $endgroup$
      – JOHN
      2 days ago










    • $begingroup$
      Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
      $endgroup$
      – G Tony Jacobs
      2 days ago










    • $begingroup$
      @John: You may want to read about binary operation for context.
      $endgroup$
      – Shahab
      2 days ago


















    • $begingroup$
      for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
      $endgroup$
      – JOHN
      2 days ago










    • $begingroup$
      Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
      $endgroup$
      – G Tony Jacobs
      2 days ago










    • $begingroup$
      @John: You may want to read about binary operation for context.
      $endgroup$
      – Shahab
      2 days ago
















    $begingroup$
    for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
    $endgroup$
    – JOHN
    2 days ago




    $begingroup$
    for the part $+: V times V mapsto V$, I am not familiar with the notation. Can you explain a bit more? Why $+$ is a function from $V times V$ to $V$?
    $endgroup$
    – JOHN
    2 days ago












    $begingroup$
    Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
    $endgroup$
    – G Tony Jacobs
    2 days ago




    $begingroup$
    Addition is a function that takes an ordered pair as an input, and gives a single element as output. In real numbers, for example, $+(3,5)=8$.
    $endgroup$
    – G Tony Jacobs
    2 days ago












    $begingroup$
    @John: You may want to read about binary operation for context.
    $endgroup$
    – Shahab
    2 days ago




    $begingroup$
    @John: You may want to read about binary operation for context.
    $endgroup$
    – Shahab
    2 days ago













    1












    $begingroup$

    The OP should note that we usually denote a function from $V times V$ to $V$ by a letter, say $f$, and write



    $$ f: V times V to V$$



    and denote the image of $(v,w) in V times V$ under $f$, an element in $V$, by $f(v,w)$.



    Now if the operation is addition, $+$, of vectors, we find it both convenient and illuminating to use $vec v + vec w$ as opposed to $+(v,w)$.



    Again, we might want to use some letter $f$ to denote a function from $Bbb R times V$ to $V$, so that if $alpha in Bbb R$ and $v in V$ the image under $f$ of $(alpha,v)$ is denoted by $f(alpha,v)$.



    But if the operation is scalar multiplication of a vector, $cdot$, we find it both convenient and illuminating to use $alpha cdot vec v$ as opposed to



    $$cdot(alpha,v)$$



    In fact, when multiplying by a scalar, the multiplication symbol is usually dropped when no ambiguity can occur, and juxtaposition of the scalar on the left of the vector is an appreciated notation/convention,



    $$ alpha vec v$$



    Note that in 1. Vector spaces of the book the author uses juxtaposition for scalar multiplication; see also the first example in 1.1. Examples.






    share|cite|improve this answer











    $endgroup$




















      1












      $begingroup$

      The OP should note that we usually denote a function from $V times V$ to $V$ by a letter, say $f$, and write



      $$ f: V times V to V$$



      and denote the image of $(v,w) in V times V$ under $f$, an element in $V$, by $f(v,w)$.



      Now if the operation is addition, $+$, of vectors, we find it both convenient and illuminating to use $vec v + vec w$ as opposed to $+(v,w)$.



      Again, we might want to use some letter $f$ to denote a function from $Bbb R times V$ to $V$, so that if $alpha in Bbb R$ and $v in V$ the image under $f$ of $(alpha,v)$ is denoted by $f(alpha,v)$.



      But if the operation is scalar multiplication of a vector, $cdot$, we find it both convenient and illuminating to use $alpha cdot vec v$ as opposed to



      $$cdot(alpha,v)$$



      In fact, when multiplying by a scalar, the multiplication symbol is usually dropped when no ambiguity can occur, and juxtaposition of the scalar on the left of the vector is an appreciated notation/convention,



      $$ alpha vec v$$



      Note that in 1. Vector spaces of the book the author uses juxtaposition for scalar multiplication; see also the first example in 1.1. Examples.






      share|cite|improve this answer











      $endgroup$


















        1












        1








        1





        $begingroup$

        The OP should note that we usually denote a function from $V times V$ to $V$ by a letter, say $f$, and write



        $$ f: V times V to V$$



        and denote the image of $(v,w) in V times V$ under $f$, an element in $V$, by $f(v,w)$.



        Now if the operation is addition, $+$, of vectors, we find it both convenient and illuminating to use $vec v + vec w$ as opposed to $+(v,w)$.



        Again, we might want to use some letter $f$ to denote a function from $Bbb R times V$ to $V$, so that if $alpha in Bbb R$ and $v in V$ the image under $f$ of $(alpha,v)$ is denoted by $f(alpha,v)$.



        But if the operation is scalar multiplication of a vector, $cdot$, we find it both convenient and illuminating to use $alpha cdot vec v$ as opposed to



        $$cdot(alpha,v)$$



        In fact, when multiplying by a scalar, the multiplication symbol is usually dropped when no ambiguity can occur, and juxtaposition of the scalar on the left of the vector is an appreciated notation/convention,



        $$ alpha vec v$$



        Note that in 1. Vector spaces of the book the author uses juxtaposition for scalar multiplication; see also the first example in 1.1. Examples.






        share|cite|improve this answer











        $endgroup$



        The OP should note that we usually denote a function from $V times V$ to $V$ by a letter, say $f$, and write



        $$ f: V times V to V$$



        and denote the image of $(v,w) in V times V$ under $f$, an element in $V$, by $f(v,w)$.



        Now if the operation is addition, $+$, of vectors, we find it both convenient and illuminating to use $vec v + vec w$ as opposed to $+(v,w)$.



        Again, we might want to use some letter $f$ to denote a function from $Bbb R times V$ to $V$, so that if $alpha in Bbb R$ and $v in V$ the image under $f$ of $(alpha,v)$ is denoted by $f(alpha,v)$.



        But if the operation is scalar multiplication of a vector, $cdot$, we find it both convenient and illuminating to use $alpha cdot vec v$ as opposed to



        $$cdot(alpha,v)$$



        In fact, when multiplying by a scalar, the multiplication symbol is usually dropped when no ambiguity can occur, and juxtaposition of the scalar on the left of the vector is an appreciated notation/convention,



        $$ alpha vec v$$



        Note that in 1. Vector spaces of the book the author uses juxtaposition for scalar multiplication; see also the first example in 1.1. Examples.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited 2 days ago

























        answered 2 days ago









        CopyPasteItCopyPasteIt

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