How can I prove that?












0












$begingroup$


If
T
:
V

W
is a linear transformation.



If $ker T$ has ${u_1,dots,u_n}$ as basis.



If image of $T$ has ${T(v_1),dots,T(v_m)}$ as basis.



How can I prove that



$$
{v_1,dots,v_m,u_1,dots,u_n}
$$



is a basis for $V$?





I'm a inicial student so I don't have a lot of knowlodge.










share|cite|improve this question











$endgroup$

















    0












    $begingroup$


    If
    T
    :
    V

    W
    is a linear transformation.



    If $ker T$ has ${u_1,dots,u_n}$ as basis.



    If image of $T$ has ${T(v_1),dots,T(v_m)}$ as basis.



    How can I prove that



    $$
    {v_1,dots,v_m,u_1,dots,u_n}
    $$



    is a basis for $V$?





    I'm a inicial student so I don't have a lot of knowlodge.










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      If
      T
      :
      V

      W
      is a linear transformation.



      If $ker T$ has ${u_1,dots,u_n}$ as basis.



      If image of $T$ has ${T(v_1),dots,T(v_m)}$ as basis.



      How can I prove that



      $$
      {v_1,dots,v_m,u_1,dots,u_n}
      $$



      is a basis for $V$?





      I'm a inicial student so I don't have a lot of knowlodge.










      share|cite|improve this question











      $endgroup$




      If
      T
      :
      V

      W
      is a linear transformation.



      If $ker T$ has ${u_1,dots,u_n}$ as basis.



      If image of $T$ has ${T(v_1),dots,T(v_m)}$ as basis.



      How can I prove that



      $$
      {v_1,dots,v_m,u_1,dots,u_n}
      $$



      is a basis for $V$?





      I'm a inicial student so I don't have a lot of knowlodge.







      linear-algebra vector-spaces linear-transformations






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Jan 16 at 10:16









      José Carlos Santos

      159k22126231




      159k22126231










      asked Jan 16 at 9:31









      HarryHarry

      83




      83






















          2 Answers
          2






          active

          oldest

          votes


















          1












          $begingroup$

          Let $B={v_1,ldots,v_m,u_1,ldots,u_n}$. There are two things that must be checked: that $B$ spans $V$ and that it is linearly independent.



          In order to prove that $operatorname{span}(B)=V$. Take $vin V$. Then $f(v)$ can be written as $alpha_1 f(v_1)+cdots+alpha_m f(v_m)$. In other words, $f(v)=f(alpha_1v_1+cdots+alpha_mv_m)$. But then $v-(alpha_1v_1+cdots+alpha_mv_m)inker f$ and therefore it can be written as $beta_1u_1+cdots+beta_nw_n$. So$$v=alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n.$$



          On the other hand, if$$alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n=0,tag1$$then$$0=f(0)=alpha_1 f(v_1)+cdots+alpha_mf(v_m)$$and therefore every $alpha_j$ is equal to $0$. But then $(1)$ means that $beta_1u_1+cdots+beta_nw_n=0$ and so every $beta_k$ is equal to $0$ too.






          share|cite|improve this answer









          $endgroup$





















            0












            $begingroup$

            Highlights of proof:



            Take $;vin V;$ , then



            $$Tvintext{Im},Timplies Tv=sum_{k=1}^m a_kTv_kimplies Tleft(v-sum_{k=1}^m a_kv_kright)=0implies v-sum_{k=1}^m a_kv_kinker T$$



            and now you try to complete the last few steps to finish the proof, after you're sure you can justify all the steps above.



            This is practically the proof of the well-known and very important Dimensions Theorem for finite dimensional spaces (in fact, only $;V;$ , the definition domain, has to be finite dimensional)






            share|cite|improve this answer









            $endgroup$













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              2 Answers
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              2 Answers
              2






              active

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              active

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              active

              oldest

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              1












              $begingroup$

              Let $B={v_1,ldots,v_m,u_1,ldots,u_n}$. There are two things that must be checked: that $B$ spans $V$ and that it is linearly independent.



              In order to prove that $operatorname{span}(B)=V$. Take $vin V$. Then $f(v)$ can be written as $alpha_1 f(v_1)+cdots+alpha_m f(v_m)$. In other words, $f(v)=f(alpha_1v_1+cdots+alpha_mv_m)$. But then $v-(alpha_1v_1+cdots+alpha_mv_m)inker f$ and therefore it can be written as $beta_1u_1+cdots+beta_nw_n$. So$$v=alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n.$$



              On the other hand, if$$alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n=0,tag1$$then$$0=f(0)=alpha_1 f(v_1)+cdots+alpha_mf(v_m)$$and therefore every $alpha_j$ is equal to $0$. But then $(1)$ means that $beta_1u_1+cdots+beta_nw_n=0$ and so every $beta_k$ is equal to $0$ too.






              share|cite|improve this answer









              $endgroup$


















                1












                $begingroup$

                Let $B={v_1,ldots,v_m,u_1,ldots,u_n}$. There are two things that must be checked: that $B$ spans $V$ and that it is linearly independent.



                In order to prove that $operatorname{span}(B)=V$. Take $vin V$. Then $f(v)$ can be written as $alpha_1 f(v_1)+cdots+alpha_m f(v_m)$. In other words, $f(v)=f(alpha_1v_1+cdots+alpha_mv_m)$. But then $v-(alpha_1v_1+cdots+alpha_mv_m)inker f$ and therefore it can be written as $beta_1u_1+cdots+beta_nw_n$. So$$v=alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n.$$



                On the other hand, if$$alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n=0,tag1$$then$$0=f(0)=alpha_1 f(v_1)+cdots+alpha_mf(v_m)$$and therefore every $alpha_j$ is equal to $0$. But then $(1)$ means that $beta_1u_1+cdots+beta_nw_n=0$ and so every $beta_k$ is equal to $0$ too.






                share|cite|improve this answer









                $endgroup$
















                  1












                  1








                  1





                  $begingroup$

                  Let $B={v_1,ldots,v_m,u_1,ldots,u_n}$. There are two things that must be checked: that $B$ spans $V$ and that it is linearly independent.



                  In order to prove that $operatorname{span}(B)=V$. Take $vin V$. Then $f(v)$ can be written as $alpha_1 f(v_1)+cdots+alpha_m f(v_m)$. In other words, $f(v)=f(alpha_1v_1+cdots+alpha_mv_m)$. But then $v-(alpha_1v_1+cdots+alpha_mv_m)inker f$ and therefore it can be written as $beta_1u_1+cdots+beta_nw_n$. So$$v=alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n.$$



                  On the other hand, if$$alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n=0,tag1$$then$$0=f(0)=alpha_1 f(v_1)+cdots+alpha_mf(v_m)$$and therefore every $alpha_j$ is equal to $0$. But then $(1)$ means that $beta_1u_1+cdots+beta_nw_n=0$ and so every $beta_k$ is equal to $0$ too.






                  share|cite|improve this answer









                  $endgroup$



                  Let $B={v_1,ldots,v_m,u_1,ldots,u_n}$. There are two things that must be checked: that $B$ spans $V$ and that it is linearly independent.



                  In order to prove that $operatorname{span}(B)=V$. Take $vin V$. Then $f(v)$ can be written as $alpha_1 f(v_1)+cdots+alpha_m f(v_m)$. In other words, $f(v)=f(alpha_1v_1+cdots+alpha_mv_m)$. But then $v-(alpha_1v_1+cdots+alpha_mv_m)inker f$ and therefore it can be written as $beta_1u_1+cdots+beta_nw_n$. So$$v=alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n.$$



                  On the other hand, if$$alpha_1v_1+cdots+alpha_mv_m+beta_1u_1+cdots+beta_nw_n=0,tag1$$then$$0=f(0)=alpha_1 f(v_1)+cdots+alpha_mf(v_m)$$and therefore every $alpha_j$ is equal to $0$. But then $(1)$ means that $beta_1u_1+cdots+beta_nw_n=0$ and so every $beta_k$ is equal to $0$ too.







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Jan 16 at 9:38









                  José Carlos SantosJosé Carlos Santos

                  159k22126231




                  159k22126231























                      0












                      $begingroup$

                      Highlights of proof:



                      Take $;vin V;$ , then



                      $$Tvintext{Im},Timplies Tv=sum_{k=1}^m a_kTv_kimplies Tleft(v-sum_{k=1}^m a_kv_kright)=0implies v-sum_{k=1}^m a_kv_kinker T$$



                      and now you try to complete the last few steps to finish the proof, after you're sure you can justify all the steps above.



                      This is practically the proof of the well-known and very important Dimensions Theorem for finite dimensional spaces (in fact, only $;V;$ , the definition domain, has to be finite dimensional)






                      share|cite|improve this answer









                      $endgroup$


















                        0












                        $begingroup$

                        Highlights of proof:



                        Take $;vin V;$ , then



                        $$Tvintext{Im},Timplies Tv=sum_{k=1}^m a_kTv_kimplies Tleft(v-sum_{k=1}^m a_kv_kright)=0implies v-sum_{k=1}^m a_kv_kinker T$$



                        and now you try to complete the last few steps to finish the proof, after you're sure you can justify all the steps above.



                        This is practically the proof of the well-known and very important Dimensions Theorem for finite dimensional spaces (in fact, only $;V;$ , the definition domain, has to be finite dimensional)






                        share|cite|improve this answer









                        $endgroup$
















                          0












                          0








                          0





                          $begingroup$

                          Highlights of proof:



                          Take $;vin V;$ , then



                          $$Tvintext{Im},Timplies Tv=sum_{k=1}^m a_kTv_kimplies Tleft(v-sum_{k=1}^m a_kv_kright)=0implies v-sum_{k=1}^m a_kv_kinker T$$



                          and now you try to complete the last few steps to finish the proof, after you're sure you can justify all the steps above.



                          This is practically the proof of the well-known and very important Dimensions Theorem for finite dimensional spaces (in fact, only $;V;$ , the definition domain, has to be finite dimensional)






                          share|cite|improve this answer









                          $endgroup$



                          Highlights of proof:



                          Take $;vin V;$ , then



                          $$Tvintext{Im},Timplies Tv=sum_{k=1}^m a_kTv_kimplies Tleft(v-sum_{k=1}^m a_kv_kright)=0implies v-sum_{k=1}^m a_kv_kinker T$$



                          and now you try to complete the last few steps to finish the proof, after you're sure you can justify all the steps above.



                          This is practically the proof of the well-known and very important Dimensions Theorem for finite dimensional spaces (in fact, only $;V;$ , the definition domain, has to be finite dimensional)







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Jan 16 at 9:37









                          DonAntonioDonAntonio

                          178k1493229




                          178k1493229






























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