Let L and M be finite dimensional linear spaces over the field F. Prove that $ dim L/L_{0}= dim M/M_{0}$.












0












$begingroup$


Let $L$ and $M$ be finite dimensional linear spaces over the field $F$ and let $g : L times M to F$ be a bilinear mapping. We shall call the set
$L_{0} = {l ∈ L : g(l, m) = 0text{ for all }m ∈ M}$
the left kernel of $g$ and the set
$M_{0} = {m ∈ M : g(l, m) = 0text{ for all }l ∈ L}$
the right kernel of $g$. Prove that $ dim L/L_{0} = dim M/M_{0}$.










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$endgroup$












  • $begingroup$
    Row rank equals column rank?
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 12:43










  • $begingroup$
    Yes, row rank of Gram matrix of bilinear form equals the column rank of Gram matrix.
    $endgroup$
    – Lena
    Nov 25 '18 at 12:46










  • $begingroup$
    Turn that into a proof!
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 13:48
















0












$begingroup$


Let $L$ and $M$ be finite dimensional linear spaces over the field $F$ and let $g : L times M to F$ be a bilinear mapping. We shall call the set
$L_{0} = {l ∈ L : g(l, m) = 0text{ for all }m ∈ M}$
the left kernel of $g$ and the set
$M_{0} = {m ∈ M : g(l, m) = 0text{ for all }l ∈ L}$
the right kernel of $g$. Prove that $ dim L/L_{0} = dim M/M_{0}$.










share|cite|improve this question











$endgroup$












  • $begingroup$
    Row rank equals column rank?
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 12:43










  • $begingroup$
    Yes, row rank of Gram matrix of bilinear form equals the column rank of Gram matrix.
    $endgroup$
    – Lena
    Nov 25 '18 at 12:46










  • $begingroup$
    Turn that into a proof!
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 13:48














0












0








0





$begingroup$


Let $L$ and $M$ be finite dimensional linear spaces over the field $F$ and let $g : L times M to F$ be a bilinear mapping. We shall call the set
$L_{0} = {l ∈ L : g(l, m) = 0text{ for all }m ∈ M}$
the left kernel of $g$ and the set
$M_{0} = {m ∈ M : g(l, m) = 0text{ for all }l ∈ L}$
the right kernel of $g$. Prove that $ dim L/L_{0} = dim M/M_{0}$.










share|cite|improve this question











$endgroup$




Let $L$ and $M$ be finite dimensional linear spaces over the field $F$ and let $g : L times M to F$ be a bilinear mapping. We shall call the set
$L_{0} = {l ∈ L : g(l, m) = 0text{ for all }m ∈ M}$
the left kernel of $g$ and the set
$M_{0} = {m ∈ M : g(l, m) = 0text{ for all }l ∈ L}$
the right kernel of $g$. Prove that $ dim L/L_{0} = dim M/M_{0}$.







linear-algebra






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edited Nov 25 '18 at 12:42









Bernard

119k639113




119k639113










asked Nov 25 '18 at 12:37









LenaLena

163




163












  • $begingroup$
    Row rank equals column rank?
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 12:43










  • $begingroup$
    Yes, row rank of Gram matrix of bilinear form equals the column rank of Gram matrix.
    $endgroup$
    – Lena
    Nov 25 '18 at 12:46










  • $begingroup$
    Turn that into a proof!
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 13:48


















  • $begingroup$
    Row rank equals column rank?
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 12:43










  • $begingroup$
    Yes, row rank of Gram matrix of bilinear form equals the column rank of Gram matrix.
    $endgroup$
    – Lena
    Nov 25 '18 at 12:46










  • $begingroup$
    Turn that into a proof!
    $endgroup$
    – Charlie Frohman
    Nov 25 '18 at 13:48
















$begingroup$
Row rank equals column rank?
$endgroup$
– Charlie Frohman
Nov 25 '18 at 12:43




$begingroup$
Row rank equals column rank?
$endgroup$
– Charlie Frohman
Nov 25 '18 at 12:43












$begingroup$
Yes, row rank of Gram matrix of bilinear form equals the column rank of Gram matrix.
$endgroup$
– Lena
Nov 25 '18 at 12:46




$begingroup$
Yes, row rank of Gram matrix of bilinear form equals the column rank of Gram matrix.
$endgroup$
– Lena
Nov 25 '18 at 12:46












$begingroup$
Turn that into a proof!
$endgroup$
– Charlie Frohman
Nov 25 '18 at 13:48




$begingroup$
Turn that into a proof!
$endgroup$
– Charlie Frohman
Nov 25 '18 at 13:48










1 Answer
1






active

oldest

votes


















1












$begingroup$

Maybe you can appreciate a “matrix free” proof.



Define $varphicolon Lto (M/M_0)^*$ by
$$
varphi(x)colon y+M_0mapsto g(x,y)
$$

(where $(M/M_0)^*$ is the dual space to $M/M_0$). For every $xin L$, the linear form $varphi(x)$ is well defined, because if $yin M_0$, then $g(x,y)=0$. The map $varphi$ is clearly linear.



The kernel of $varphi$ is precisely $L_0$, hence $dim(L/L_0)ledim(M/M_0)^*=dim(M/M_0)$.



By symmetry, also the reverse inequality holds.






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    1












    $begingroup$

    Maybe you can appreciate a “matrix free” proof.



    Define $varphicolon Lto (M/M_0)^*$ by
    $$
    varphi(x)colon y+M_0mapsto g(x,y)
    $$

    (where $(M/M_0)^*$ is the dual space to $M/M_0$). For every $xin L$, the linear form $varphi(x)$ is well defined, because if $yin M_0$, then $g(x,y)=0$. The map $varphi$ is clearly linear.



    The kernel of $varphi$ is precisely $L_0$, hence $dim(L/L_0)ledim(M/M_0)^*=dim(M/M_0)$.



    By symmetry, also the reverse inequality holds.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      Maybe you can appreciate a “matrix free” proof.



      Define $varphicolon Lto (M/M_0)^*$ by
      $$
      varphi(x)colon y+M_0mapsto g(x,y)
      $$

      (where $(M/M_0)^*$ is the dual space to $M/M_0$). For every $xin L$, the linear form $varphi(x)$ is well defined, because if $yin M_0$, then $g(x,y)=0$. The map $varphi$ is clearly linear.



      The kernel of $varphi$ is precisely $L_0$, hence $dim(L/L_0)ledim(M/M_0)^*=dim(M/M_0)$.



      By symmetry, also the reverse inequality holds.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        Maybe you can appreciate a “matrix free” proof.



        Define $varphicolon Lto (M/M_0)^*$ by
        $$
        varphi(x)colon y+M_0mapsto g(x,y)
        $$

        (where $(M/M_0)^*$ is the dual space to $M/M_0$). For every $xin L$, the linear form $varphi(x)$ is well defined, because if $yin M_0$, then $g(x,y)=0$. The map $varphi$ is clearly linear.



        The kernel of $varphi$ is precisely $L_0$, hence $dim(L/L_0)ledim(M/M_0)^*=dim(M/M_0)$.



        By symmetry, also the reverse inequality holds.






        share|cite|improve this answer









        $endgroup$



        Maybe you can appreciate a “matrix free” proof.



        Define $varphicolon Lto (M/M_0)^*$ by
        $$
        varphi(x)colon y+M_0mapsto g(x,y)
        $$

        (where $(M/M_0)^*$ is the dual space to $M/M_0$). For every $xin L$, the linear form $varphi(x)$ is well defined, because if $yin M_0$, then $g(x,y)=0$. The map $varphi$ is clearly linear.



        The kernel of $varphi$ is precisely $L_0$, hence $dim(L/L_0)ledim(M/M_0)^*=dim(M/M_0)$.



        By symmetry, also the reverse inequality holds.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 25 '18 at 14:23









        egregegreg

        180k1485202




        180k1485202






























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