If $X = Y + operatorname{im}(F)$, prove that $dim (X) le 2 cdot dim (Y)$












1












$begingroup$


I am considering this task




$X$ is linear space, $dim X < infty$, $Y subset X$ is linear
subspace and $X = Y + operatorname{im}(F)$ for some linear
transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
and there is equality iff $F$ is monomorphism and $Y cap
> operatorname{im}(F) = {0}$
.




my try



I think that the best option is use this formula:
$$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
but we know that
$$ X = Y + operatorname{im}(F) $$
so
$$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
Moreover
$$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
so
$$ dim Y le dim X $$
but unfortunately it is trivial because it comes from
$$ X = Y + operatorname{im}(F) $$
I am trying on different ways but in each case I finish at something like that.

This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.










share|cite|improve this question











$endgroup$

















    1












    $begingroup$


    I am considering this task




    $X$ is linear space, $dim X < infty$, $Y subset X$ is linear
    subspace and $X = Y + operatorname{im}(F)$ for some linear
    transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
    and there is equality iff $F$ is monomorphism and $Y cap
    > operatorname{im}(F) = {0}$
    .




    my try



    I think that the best option is use this formula:
    $$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
    but we know that
    $$ X = Y + operatorname{im}(F) $$
    so
    $$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
    Moreover
    $$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
    so
    $$ dim Y le dim X $$
    but unfortunately it is trivial because it comes from
    $$ X = Y + operatorname{im}(F) $$
    I am trying on different ways but in each case I finish at something like that.

    This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      I am considering this task




      $X$ is linear space, $dim X < infty$, $Y subset X$ is linear
      subspace and $X = Y + operatorname{im}(F)$ for some linear
      transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
      and there is equality iff $F$ is monomorphism and $Y cap
      > operatorname{im}(F) = {0}$
      .




      my try



      I think that the best option is use this formula:
      $$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
      but we know that
      $$ X = Y + operatorname{im}(F) $$
      so
      $$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
      Moreover
      $$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
      so
      $$ dim Y le dim X $$
      but unfortunately it is trivial because it comes from
      $$ X = Y + operatorname{im}(F) $$
      I am trying on different ways but in each case I finish at something like that.

      This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.










      share|cite|improve this question











      $endgroup$




      I am considering this task




      $X$ is linear space, $dim X < infty$, $Y subset X$ is linear
      subspace and $X = Y + operatorname{im}(F)$ for some linear
      transformation $F in L(Y,X)$. Prove that $dim X le 2 cdot dim Y$
      and there is equality iff $F$ is monomorphism and $Y cap
      > operatorname{im}(F) = {0}$
      .




      my try



      I think that the best option is use this formula:
      $$ dim (operatorname{im}(F)) + dim Y = dim (Y + operatorname{im}(F)) + dim (Y cap operatorname{im}(F)) $$
      but we know that
      $$ X = Y + operatorname{im}(F) $$
      so
      $$ dim (operatorname{im}(F)) + dim Y = dim X + dim (Y cap operatorname{im}(F)) $$
      Moreover
      $$ dim (Y cap operatorname{im}(F)) le dim (operatorname{im}(F))$$
      so
      $$ dim Y le dim X $$
      but unfortunately it is trivial because it comes from
      $$ X = Y + operatorname{im}(F) $$
      I am trying on different ways but in each case I finish at something like that.

      This task has been added to site a long time ago but I want to use this formula (only if it's possible) and I want to show my way of thinking there.







      linear-algebra dimension-theory






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      edited Jan 6 at 23:15







      VirtualUser

















      asked Jan 6 at 9:59









      VirtualUserVirtualUser

      68912




      68912






















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          $begingroup$

          Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:



          $$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$



          which yields two consequences:




          1. $text{dim(im}(F))leq text{dim}(Y)$;


          2. $text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.



          Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.






          share|cite|improve this answer









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            1 Answer
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            active

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            1












            $begingroup$

            Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:



            $$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$



            which yields two consequences:




            1. $text{dim(im}(F))leq text{dim}(Y)$;


            2. $text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.



            Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.






            share|cite|improve this answer









            $endgroup$


















              1












              $begingroup$

              Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:



              $$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$



              which yields two consequences:




              1. $text{dim(im}(F))leq text{dim}(Y)$;


              2. $text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.



              Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.






              share|cite|improve this answer









              $endgroup$
















                1












                1








                1





                $begingroup$

                Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:



                $$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$



                which yields two consequences:




                1. $text{dim(im}(F))leq text{dim}(Y)$;


                2. $text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.



                Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.






                share|cite|improve this answer









                $endgroup$



                Hint: remember that, given a linear transformation $F:Yrightarrow X$ between finite dimensional linear spaces, then you have the rank-nullity theorem:



                $$text{dim}(Y) = text{dim}(ker(F)) +text{dim}(text{im}(F))$$



                which yields two consequences:




                1. $text{dim(im}(F))leq text{dim}(Y)$;


                2. $text{dim(im}(F)) = text{dim}(Y)$ if and only if $text{dim}(ker(F))=0$, i.e. if and only if $F$ is a monomorphism.



                Item 1 helps you with proving $text{dim}(X)leq 2cdot text{dim}(Y)$ while item 2 is needed for the second part of your question.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Jan 6 at 15:31









                F.BattistoniF.Battistoni

                515




                515






























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