Vector space- linear algebra

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I don't get how the book solved this problem, because axioms $4$, $5$ and $7$ are about adding not multiplying.



I really need to understand this. Thank you







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    Welcome to MSE. It is in your best interest that you type your questions (using MathJax) instead of posting links to pictures.
    – José Carlos Santos
    Jul 28 at 15:33










  • The axioms are actually not about adding; they are about two operations, one of which is normally written as addition.
    – md2perpe
    Jul 28 at 17:30














up vote
0
down vote

favorite
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enter image description here



I don't get how the book solved this problem, because axioms $4$, $5$ and $7$ are about adding not multiplying.



I really need to understand this. Thank you







share|cite|improve this question

















  • 1




    Welcome to MSE. It is in your best interest that you type your questions (using MathJax) instead of posting links to pictures.
    – José Carlos Santos
    Jul 28 at 15:33










  • The axioms are actually not about adding; they are about two operations, one of which is normally written as addition.
    – md2perpe
    Jul 28 at 17:30












up vote
0
down vote

favorite
1









up vote
0
down vote

favorite
1






1





enter image description here



I don't get how the book solved this problem, because axioms $4$, $5$ and $7$ are about adding not multiplying.



I really need to understand this. Thank you







share|cite|improve this question













enter image description here



I don't get how the book solved this problem, because axioms $4$, $5$ and $7$ are about adding not multiplying.



I really need to understand this. Thank you









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 28 at 16:41









Daniel Buck

2,2841623




2,2841623









asked Jul 28 at 15:28









user580158

31




31







  • 1




    Welcome to MSE. It is in your best interest that you type your questions (using MathJax) instead of posting links to pictures.
    – José Carlos Santos
    Jul 28 at 15:33










  • The axioms are actually not about adding; they are about two operations, one of which is normally written as addition.
    – md2perpe
    Jul 28 at 17:30












  • 1




    Welcome to MSE. It is in your best interest that you type your questions (using MathJax) instead of posting links to pictures.
    – José Carlos Santos
    Jul 28 at 15:33










  • The axioms are actually not about adding; they are about two operations, one of which is normally written as addition.
    – md2perpe
    Jul 28 at 17:30







1




1




Welcome to MSE. It is in your best interest that you type your questions (using MathJax) instead of posting links to pictures.
– José Carlos Santos
Jul 28 at 15:33




Welcome to MSE. It is in your best interest that you type your questions (using MathJax) instead of posting links to pictures.
– José Carlos Santos
Jul 28 at 15:33












The axioms are actually not about adding; they are about two operations, one of which is normally written as addition.
– md2perpe
Jul 28 at 17:30




The axioms are actually not about adding; they are about two operations, one of which is normally written as addition.
– md2perpe
Jul 28 at 17:30










3 Answers
3






active

oldest

votes

















up vote
3
down vote



accepted










The key phrase is "vector addition is numerical multiplication"



That is they define the operation $+_V$ as $u+_Vv=ucdot v$. I explicitly write out the subscript $V$ for the vector addition so as to highlight the addition is not the convention addition that you are familiar with.



We can check that $u+_V1 = u cdot 1=u$.



I will leave the rest as an exercise.






share|cite|improve this answer





















  • yup, the zero vector $0_V= 1$.
    – Siong Thye Goh
    Jul 28 at 15:47

















up vote
2
down vote













I certainly understand that it looks confusing when the book writes $u+v=uv$ and $ku=u^k,$ so let us instead introduce two operators $oplus : V times V to V$ and $odot : mathbb R times V to V$ satisfying some axioms like
$(u oplus v) oplus w = u oplus (v oplus w)$
and
$k otimes (u oplus v) = (k odot u) oplus (k odot v).$
I won't list all axioms since I don't want to confuse the enumeration with the one in you course literature.



In the example given, they take $V = (0, infty)$ and define $oplus$ and $odot$ by $u oplus v = uv$ and $k odot u = u^k.$ Then, for example, they show the second axiom that I listed:
$$beginalign
k odot (u oplus v)
& = text by def. of $odot$ = (u oplus v)^k \
& = text by def. of $oplus$ = (uv)^k \
& = text by one of the power laws = u^k v^k \
& = text by def. of $oplus$ = u^k oplus v^k \
& = text by def. of $odot$ = (k odot u) oplus (k odot v)
endalign$$



It is very uncommon though with vector spaces where the operations are not derived from ordinary addition and multiplication with a real or complex number. Therefore the operations are normally written as just $+$ and juxtaposition (i.e. $ku$ without an explicit operation).






share|cite|improve this answer




























    up vote
    0
    down vote













    Here $V$ is the set $mathbbR_>0$, so the vector $mathbfv$ is just the real number $v$ (although it is still a vector in $V$).



    Now define the operations on $V$:
    $$u+v=uv quadtextbfVector addition is numerical multiplicationtag1$$



    $$ku=u^k quadtextbfScalar multiplication is numerical exponentiationtag2$$



    Now with operations $(1)$ and $(2)$ set up you have to try each axiom in turn to see if it satisfies them.



    For Axiom $4$ we want the definition of the zero vector, i.e., the element $i$ that makes $u+i=u$. It's obviously not $i=0$, as $0notin V$ (if it were it would give: $u+0=ucdot0=0$, and so $u=0$, contradicting the fact $u$ is a positive real). In a sense you can work backwards here, since you know $ucdot1=u$, where $u$ and $1$ are seen as numbers to be multiplied. Now looking at $(1)$ you see the addition of two vectors gives a numerical product so $u+1=ucdot1$. But then $u+1=u$, and so the number $1$ acts as the zero-vector in this space.



    For Axiom $5$ the negative of a vector $u$ is its reciprocal ($-u=1/u$)
    $$u+frac1u=uleft(frac1uright)=1$$
    The point here is we want define negative vectors, so we can have additive inverses. We know when we subtract a vector from itself we get the zero-vector. So since $u+(-u)=1$, we need to solve $u+(-u)=u(-u)=1$, and $-u=1/u$ does this.



    For Axiom $7$ we need to show $k(u+v)=ku+kv$, so we can have the property of distributivity when multiplying. We have by $(1)$ that $u+v=uv$, so $k(u+v)=k(uv)$. Now use $(2)$ to give $k(uv)=(uv)^k=u^kv^k$, where some power law is invoked. This gives $u^kv^k=u^k+v^k$ by $(1)$, with $u^k+v^k=ku+kv$ by $(2)$, and so $k(u+v)=ku+kv$ as required.



    Now do the rest.






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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      3
      down vote



      accepted










      The key phrase is "vector addition is numerical multiplication"



      That is they define the operation $+_V$ as $u+_Vv=ucdot v$. I explicitly write out the subscript $V$ for the vector addition so as to highlight the addition is not the convention addition that you are familiar with.



      We can check that $u+_V1 = u cdot 1=u$.



      I will leave the rest as an exercise.






      share|cite|improve this answer





















      • yup, the zero vector $0_V= 1$.
        – Siong Thye Goh
        Jul 28 at 15:47














      up vote
      3
      down vote



      accepted










      The key phrase is "vector addition is numerical multiplication"



      That is they define the operation $+_V$ as $u+_Vv=ucdot v$. I explicitly write out the subscript $V$ for the vector addition so as to highlight the addition is not the convention addition that you are familiar with.



      We can check that $u+_V1 = u cdot 1=u$.



      I will leave the rest as an exercise.






      share|cite|improve this answer





















      • yup, the zero vector $0_V= 1$.
        – Siong Thye Goh
        Jul 28 at 15:47












      up vote
      3
      down vote



      accepted







      up vote
      3
      down vote



      accepted






      The key phrase is "vector addition is numerical multiplication"



      That is they define the operation $+_V$ as $u+_Vv=ucdot v$. I explicitly write out the subscript $V$ for the vector addition so as to highlight the addition is not the convention addition that you are familiar with.



      We can check that $u+_V1 = u cdot 1=u$.



      I will leave the rest as an exercise.






      share|cite|improve this answer













      The key phrase is "vector addition is numerical multiplication"



      That is they define the operation $+_V$ as $u+_Vv=ucdot v$. I explicitly write out the subscript $V$ for the vector addition so as to highlight the addition is not the convention addition that you are familiar with.



      We can check that $u+_V1 = u cdot 1=u$.



      I will leave the rest as an exercise.







      share|cite|improve this answer













      share|cite|improve this answer



      share|cite|improve this answer











      answered Jul 28 at 15:33









      Siong Thye Goh

      77k134794




      77k134794











      • yup, the zero vector $0_V= 1$.
        – Siong Thye Goh
        Jul 28 at 15:47
















      • yup, the zero vector $0_V= 1$.
        – Siong Thye Goh
        Jul 28 at 15:47















      yup, the zero vector $0_V= 1$.
      – Siong Thye Goh
      Jul 28 at 15:47




      yup, the zero vector $0_V= 1$.
      – Siong Thye Goh
      Jul 28 at 15:47










      up vote
      2
      down vote













      I certainly understand that it looks confusing when the book writes $u+v=uv$ and $ku=u^k,$ so let us instead introduce two operators $oplus : V times V to V$ and $odot : mathbb R times V to V$ satisfying some axioms like
      $(u oplus v) oplus w = u oplus (v oplus w)$
      and
      $k otimes (u oplus v) = (k odot u) oplus (k odot v).$
      I won't list all axioms since I don't want to confuse the enumeration with the one in you course literature.



      In the example given, they take $V = (0, infty)$ and define $oplus$ and $odot$ by $u oplus v = uv$ and $k odot u = u^k.$ Then, for example, they show the second axiom that I listed:
      $$beginalign
      k odot (u oplus v)
      & = text by def. of $odot$ = (u oplus v)^k \
      & = text by def. of $oplus$ = (uv)^k \
      & = text by one of the power laws = u^k v^k \
      & = text by def. of $oplus$ = u^k oplus v^k \
      & = text by def. of $odot$ = (k odot u) oplus (k odot v)
      endalign$$



      It is very uncommon though with vector spaces where the operations are not derived from ordinary addition and multiplication with a real or complex number. Therefore the operations are normally written as just $+$ and juxtaposition (i.e. $ku$ without an explicit operation).






      share|cite|improve this answer

























        up vote
        2
        down vote













        I certainly understand that it looks confusing when the book writes $u+v=uv$ and $ku=u^k,$ so let us instead introduce two operators $oplus : V times V to V$ and $odot : mathbb R times V to V$ satisfying some axioms like
        $(u oplus v) oplus w = u oplus (v oplus w)$
        and
        $k otimes (u oplus v) = (k odot u) oplus (k odot v).$
        I won't list all axioms since I don't want to confuse the enumeration with the one in you course literature.



        In the example given, they take $V = (0, infty)$ and define $oplus$ and $odot$ by $u oplus v = uv$ and $k odot u = u^k.$ Then, for example, they show the second axiom that I listed:
        $$beginalign
        k odot (u oplus v)
        & = text by def. of $odot$ = (u oplus v)^k \
        & = text by def. of $oplus$ = (uv)^k \
        & = text by one of the power laws = u^k v^k \
        & = text by def. of $oplus$ = u^k oplus v^k \
        & = text by def. of $odot$ = (k odot u) oplus (k odot v)
        endalign$$



        It is very uncommon though with vector spaces where the operations are not derived from ordinary addition and multiplication with a real or complex number. Therefore the operations are normally written as just $+$ and juxtaposition (i.e. $ku$ without an explicit operation).






        share|cite|improve this answer























          up vote
          2
          down vote










          up vote
          2
          down vote









          I certainly understand that it looks confusing when the book writes $u+v=uv$ and $ku=u^k,$ so let us instead introduce two operators $oplus : V times V to V$ and $odot : mathbb R times V to V$ satisfying some axioms like
          $(u oplus v) oplus w = u oplus (v oplus w)$
          and
          $k otimes (u oplus v) = (k odot u) oplus (k odot v).$
          I won't list all axioms since I don't want to confuse the enumeration with the one in you course literature.



          In the example given, they take $V = (0, infty)$ and define $oplus$ and $odot$ by $u oplus v = uv$ and $k odot u = u^k.$ Then, for example, they show the second axiom that I listed:
          $$beginalign
          k odot (u oplus v)
          & = text by def. of $odot$ = (u oplus v)^k \
          & = text by def. of $oplus$ = (uv)^k \
          & = text by one of the power laws = u^k v^k \
          & = text by def. of $oplus$ = u^k oplus v^k \
          & = text by def. of $odot$ = (k odot u) oplus (k odot v)
          endalign$$



          It is very uncommon though with vector spaces where the operations are not derived from ordinary addition and multiplication with a real or complex number. Therefore the operations are normally written as just $+$ and juxtaposition (i.e. $ku$ without an explicit operation).






          share|cite|improve this answer













          I certainly understand that it looks confusing when the book writes $u+v=uv$ and $ku=u^k,$ so let us instead introduce two operators $oplus : V times V to V$ and $odot : mathbb R times V to V$ satisfying some axioms like
          $(u oplus v) oplus w = u oplus (v oplus w)$
          and
          $k otimes (u oplus v) = (k odot u) oplus (k odot v).$
          I won't list all axioms since I don't want to confuse the enumeration with the one in you course literature.



          In the example given, they take $V = (0, infty)$ and define $oplus$ and $odot$ by $u oplus v = uv$ and $k odot u = u^k.$ Then, for example, they show the second axiom that I listed:
          $$beginalign
          k odot (u oplus v)
          & = text by def. of $odot$ = (u oplus v)^k \
          & = text by def. of $oplus$ = (uv)^k \
          & = text by one of the power laws = u^k v^k \
          & = text by def. of $oplus$ = u^k oplus v^k \
          & = text by def. of $odot$ = (k odot u) oplus (k odot v)
          endalign$$



          It is very uncommon though with vector spaces where the operations are not derived from ordinary addition and multiplication with a real or complex number. Therefore the operations are normally written as just $+$ and juxtaposition (i.e. $ku$ without an explicit operation).







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Jul 28 at 18:14









          md2perpe

          5,79511022




          5,79511022




















              up vote
              0
              down vote













              Here $V$ is the set $mathbbR_>0$, so the vector $mathbfv$ is just the real number $v$ (although it is still a vector in $V$).



              Now define the operations on $V$:
              $$u+v=uv quadtextbfVector addition is numerical multiplicationtag1$$



              $$ku=u^k quadtextbfScalar multiplication is numerical exponentiationtag2$$



              Now with operations $(1)$ and $(2)$ set up you have to try each axiom in turn to see if it satisfies them.



              For Axiom $4$ we want the definition of the zero vector, i.e., the element $i$ that makes $u+i=u$. It's obviously not $i=0$, as $0notin V$ (if it were it would give: $u+0=ucdot0=0$, and so $u=0$, contradicting the fact $u$ is a positive real). In a sense you can work backwards here, since you know $ucdot1=u$, where $u$ and $1$ are seen as numbers to be multiplied. Now looking at $(1)$ you see the addition of two vectors gives a numerical product so $u+1=ucdot1$. But then $u+1=u$, and so the number $1$ acts as the zero-vector in this space.



              For Axiom $5$ the negative of a vector $u$ is its reciprocal ($-u=1/u$)
              $$u+frac1u=uleft(frac1uright)=1$$
              The point here is we want define negative vectors, so we can have additive inverses. We know when we subtract a vector from itself we get the zero-vector. So since $u+(-u)=1$, we need to solve $u+(-u)=u(-u)=1$, and $-u=1/u$ does this.



              For Axiom $7$ we need to show $k(u+v)=ku+kv$, so we can have the property of distributivity when multiplying. We have by $(1)$ that $u+v=uv$, so $k(u+v)=k(uv)$. Now use $(2)$ to give $k(uv)=(uv)^k=u^kv^k$, where some power law is invoked. This gives $u^kv^k=u^k+v^k$ by $(1)$, with $u^k+v^k=ku+kv$ by $(2)$, and so $k(u+v)=ku+kv$ as required.



              Now do the rest.






              share|cite|improve this answer



























                up vote
                0
                down vote













                Here $V$ is the set $mathbbR_>0$, so the vector $mathbfv$ is just the real number $v$ (although it is still a vector in $V$).



                Now define the operations on $V$:
                $$u+v=uv quadtextbfVector addition is numerical multiplicationtag1$$



                $$ku=u^k quadtextbfScalar multiplication is numerical exponentiationtag2$$



                Now with operations $(1)$ and $(2)$ set up you have to try each axiom in turn to see if it satisfies them.



                For Axiom $4$ we want the definition of the zero vector, i.e., the element $i$ that makes $u+i=u$. It's obviously not $i=0$, as $0notin V$ (if it were it would give: $u+0=ucdot0=0$, and so $u=0$, contradicting the fact $u$ is a positive real). In a sense you can work backwards here, since you know $ucdot1=u$, where $u$ and $1$ are seen as numbers to be multiplied. Now looking at $(1)$ you see the addition of two vectors gives a numerical product so $u+1=ucdot1$. But then $u+1=u$, and so the number $1$ acts as the zero-vector in this space.



                For Axiom $5$ the negative of a vector $u$ is its reciprocal ($-u=1/u$)
                $$u+frac1u=uleft(frac1uright)=1$$
                The point here is we want define negative vectors, so we can have additive inverses. We know when we subtract a vector from itself we get the zero-vector. So since $u+(-u)=1$, we need to solve $u+(-u)=u(-u)=1$, and $-u=1/u$ does this.



                For Axiom $7$ we need to show $k(u+v)=ku+kv$, so we can have the property of distributivity when multiplying. We have by $(1)$ that $u+v=uv$, so $k(u+v)=k(uv)$. Now use $(2)$ to give $k(uv)=(uv)^k=u^kv^k$, where some power law is invoked. This gives $u^kv^k=u^k+v^k$ by $(1)$, with $u^k+v^k=ku+kv$ by $(2)$, and so $k(u+v)=ku+kv$ as required.



                Now do the rest.






                share|cite|improve this answer

























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  Here $V$ is the set $mathbbR_>0$, so the vector $mathbfv$ is just the real number $v$ (although it is still a vector in $V$).



                  Now define the operations on $V$:
                  $$u+v=uv quadtextbfVector addition is numerical multiplicationtag1$$



                  $$ku=u^k quadtextbfScalar multiplication is numerical exponentiationtag2$$



                  Now with operations $(1)$ and $(2)$ set up you have to try each axiom in turn to see if it satisfies them.



                  For Axiom $4$ we want the definition of the zero vector, i.e., the element $i$ that makes $u+i=u$. It's obviously not $i=0$, as $0notin V$ (if it were it would give: $u+0=ucdot0=0$, and so $u=0$, contradicting the fact $u$ is a positive real). In a sense you can work backwards here, since you know $ucdot1=u$, where $u$ and $1$ are seen as numbers to be multiplied. Now looking at $(1)$ you see the addition of two vectors gives a numerical product so $u+1=ucdot1$. But then $u+1=u$, and so the number $1$ acts as the zero-vector in this space.



                  For Axiom $5$ the negative of a vector $u$ is its reciprocal ($-u=1/u$)
                  $$u+frac1u=uleft(frac1uright)=1$$
                  The point here is we want define negative vectors, so we can have additive inverses. We know when we subtract a vector from itself we get the zero-vector. So since $u+(-u)=1$, we need to solve $u+(-u)=u(-u)=1$, and $-u=1/u$ does this.



                  For Axiom $7$ we need to show $k(u+v)=ku+kv$, so we can have the property of distributivity when multiplying. We have by $(1)$ that $u+v=uv$, so $k(u+v)=k(uv)$. Now use $(2)$ to give $k(uv)=(uv)^k=u^kv^k$, where some power law is invoked. This gives $u^kv^k=u^k+v^k$ by $(1)$, with $u^k+v^k=ku+kv$ by $(2)$, and so $k(u+v)=ku+kv$ as required.



                  Now do the rest.






                  share|cite|improve this answer















                  Here $V$ is the set $mathbbR_>0$, so the vector $mathbfv$ is just the real number $v$ (although it is still a vector in $V$).



                  Now define the operations on $V$:
                  $$u+v=uv quadtextbfVector addition is numerical multiplicationtag1$$



                  $$ku=u^k quadtextbfScalar multiplication is numerical exponentiationtag2$$



                  Now with operations $(1)$ and $(2)$ set up you have to try each axiom in turn to see if it satisfies them.



                  For Axiom $4$ we want the definition of the zero vector, i.e., the element $i$ that makes $u+i=u$. It's obviously not $i=0$, as $0notin V$ (if it were it would give: $u+0=ucdot0=0$, and so $u=0$, contradicting the fact $u$ is a positive real). In a sense you can work backwards here, since you know $ucdot1=u$, where $u$ and $1$ are seen as numbers to be multiplied. Now looking at $(1)$ you see the addition of two vectors gives a numerical product so $u+1=ucdot1$. But then $u+1=u$, and so the number $1$ acts as the zero-vector in this space.



                  For Axiom $5$ the negative of a vector $u$ is its reciprocal ($-u=1/u$)
                  $$u+frac1u=uleft(frac1uright)=1$$
                  The point here is we want define negative vectors, so we can have additive inverses. We know when we subtract a vector from itself we get the zero-vector. So since $u+(-u)=1$, we need to solve $u+(-u)=u(-u)=1$, and $-u=1/u$ does this.



                  For Axiom $7$ we need to show $k(u+v)=ku+kv$, so we can have the property of distributivity when multiplying. We have by $(1)$ that $u+v=uv$, so $k(u+v)=k(uv)$. Now use $(2)$ to give $k(uv)=(uv)^k=u^kv^k$, where some power law is invoked. This gives $u^kv^k=u^k+v^k$ by $(1)$, with $u^k+v^k=ku+kv$ by $(2)$, and so $k(u+v)=ku+kv$ as required.



                  Now do the rest.







                  share|cite|improve this answer















                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Jul 28 at 21:41


























                  answered Jul 28 at 19:30









                  Daniel Buck

                  2,2841623




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