Relationship between linear transformations












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Suppose that for any $Ntimes 1$ vector $t$ that satisfies $At=0$ for some $2times N$ non-zero matrix $A$, that same vector necessarily satisfies $Bt=0$ for some $1times N$ non-zero matrix $B$. What is the relationship between the matrix $A$ and the matrix $B$? (i.e., if the null space of $A$ is a subset of the null space of $B$, how must $A$ be related to $B$?)










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  • $begingroup$
    No relation in general. Just take $B=0$ and any other $A$.
    $endgroup$
    – Dietrich Burde
    Dec 13 '18 at 20:16










  • $begingroup$
    Thanks. I'll edit the question to include the conditions that $A$ and $B$ are non-zero.
    $endgroup$
    – Mike
    Dec 13 '18 at 20:17










  • $begingroup$
    Another way of asking the question is: if every vector $t$ that is orthogonal to vector $x$ and vector $y$ is orthogonal to vector $z$, are $x$, $y$, and $z$ related to each other in some fundamental way?
    $endgroup$
    – Mike
    Dec 13 '18 at 20:49
















1












$begingroup$


Suppose that for any $Ntimes 1$ vector $t$ that satisfies $At=0$ for some $2times N$ non-zero matrix $A$, that same vector necessarily satisfies $Bt=0$ for some $1times N$ non-zero matrix $B$. What is the relationship between the matrix $A$ and the matrix $B$? (i.e., if the null space of $A$ is a subset of the null space of $B$, how must $A$ be related to $B$?)










share|cite|improve this question











$endgroup$












  • $begingroup$
    No relation in general. Just take $B=0$ and any other $A$.
    $endgroup$
    – Dietrich Burde
    Dec 13 '18 at 20:16










  • $begingroup$
    Thanks. I'll edit the question to include the conditions that $A$ and $B$ are non-zero.
    $endgroup$
    – Mike
    Dec 13 '18 at 20:17










  • $begingroup$
    Another way of asking the question is: if every vector $t$ that is orthogonal to vector $x$ and vector $y$ is orthogonal to vector $z$, are $x$, $y$, and $z$ related to each other in some fundamental way?
    $endgroup$
    – Mike
    Dec 13 '18 at 20:49














1












1








1





$begingroup$


Suppose that for any $Ntimes 1$ vector $t$ that satisfies $At=0$ for some $2times N$ non-zero matrix $A$, that same vector necessarily satisfies $Bt=0$ for some $1times N$ non-zero matrix $B$. What is the relationship between the matrix $A$ and the matrix $B$? (i.e., if the null space of $A$ is a subset of the null space of $B$, how must $A$ be related to $B$?)










share|cite|improve this question











$endgroup$




Suppose that for any $Ntimes 1$ vector $t$ that satisfies $At=0$ for some $2times N$ non-zero matrix $A$, that same vector necessarily satisfies $Bt=0$ for some $1times N$ non-zero matrix $B$. What is the relationship between the matrix $A$ and the matrix $B$? (i.e., if the null space of $A$ is a subset of the null space of $B$, how must $A$ be related to $B$?)







linear-algebra matrices






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share|cite|improve this question








edited Dec 13 '18 at 20:17







Mike

















asked Dec 13 '18 at 20:13









MikeMike

368110




368110












  • $begingroup$
    No relation in general. Just take $B=0$ and any other $A$.
    $endgroup$
    – Dietrich Burde
    Dec 13 '18 at 20:16










  • $begingroup$
    Thanks. I'll edit the question to include the conditions that $A$ and $B$ are non-zero.
    $endgroup$
    – Mike
    Dec 13 '18 at 20:17










  • $begingroup$
    Another way of asking the question is: if every vector $t$ that is orthogonal to vector $x$ and vector $y$ is orthogonal to vector $z$, are $x$, $y$, and $z$ related to each other in some fundamental way?
    $endgroup$
    – Mike
    Dec 13 '18 at 20:49


















  • $begingroup$
    No relation in general. Just take $B=0$ and any other $A$.
    $endgroup$
    – Dietrich Burde
    Dec 13 '18 at 20:16










  • $begingroup$
    Thanks. I'll edit the question to include the conditions that $A$ and $B$ are non-zero.
    $endgroup$
    – Mike
    Dec 13 '18 at 20:17










  • $begingroup$
    Another way of asking the question is: if every vector $t$ that is orthogonal to vector $x$ and vector $y$ is orthogonal to vector $z$, are $x$, $y$, and $z$ related to each other in some fundamental way?
    $endgroup$
    – Mike
    Dec 13 '18 at 20:49
















$begingroup$
No relation in general. Just take $B=0$ and any other $A$.
$endgroup$
– Dietrich Burde
Dec 13 '18 at 20:16




$begingroup$
No relation in general. Just take $B=0$ and any other $A$.
$endgroup$
– Dietrich Burde
Dec 13 '18 at 20:16












$begingroup$
Thanks. I'll edit the question to include the conditions that $A$ and $B$ are non-zero.
$endgroup$
– Mike
Dec 13 '18 at 20:17




$begingroup$
Thanks. I'll edit the question to include the conditions that $A$ and $B$ are non-zero.
$endgroup$
– Mike
Dec 13 '18 at 20:17












$begingroup$
Another way of asking the question is: if every vector $t$ that is orthogonal to vector $x$ and vector $y$ is orthogonal to vector $z$, are $x$, $y$, and $z$ related to each other in some fundamental way?
$endgroup$
– Mike
Dec 13 '18 at 20:49




$begingroup$
Another way of asking the question is: if every vector $t$ that is orthogonal to vector $x$ and vector $y$ is orthogonal to vector $z$, are $x$, $y$, and $z$ related to each other in some fundamental way?
$endgroup$
– Mike
Dec 13 '18 at 20:49










2 Answers
2






active

oldest

votes


















2












$begingroup$

$Bt=0implies t$ is orthogonal to $B$. As for $operatorname{ker}A$, we have $operatorname{ker}Asubset operatorname{ker}B=B^{perp}$.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
    $endgroup$
    – Mike
    Dec 13 '18 at 21:16












  • $begingroup$
    @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
    $endgroup$
    – amd
    Dec 13 '18 at 21:37










  • $begingroup$
    The row space of $A$ contains that of $B$. So there's dependence.
    $endgroup$
    – Chris Custer
    Dec 13 '18 at 22:06



















0












$begingroup$

If $t$ and $B$ are non-zero, write $B cdot t$ as $langle v, t rangle$, then it is clear that any vector $v$ in the $N-1$ dimensional space perpendicular to t, i.e. $t^perp$, will satisfy $langle v, t rangle = 0$.



Suppose $N gt 3$. Since you can choose the lines of A to be any vector in $t^perp$, and $t^perp$ is $N-1$ dimensional, there is no necessary relation between the null spaces of $A$ and $B$, i.e., the null space of $A$ may or may not contain the null space of $B$.



if $N = 3$, then either the two lines of $A$ are linearly independent, or they are not. If they are linearly independent, they span $t^perp$, so the null space of $A$ contains the null space of $B$. If they are not linearly independent, they either the null space of $A$ is identical to the null space of $B$, or they are different.



Finally, if $N = 2$, then $t^perp$ is one dimensional, and both lines of $A$ must be proportional to $v$, so the null space of both $A$ and $B$ must be the same.






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    2 Answers
    2






    active

    oldest

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    2 Answers
    2






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    2












    $begingroup$

    $Bt=0implies t$ is orthogonal to $B$. As for $operatorname{ker}A$, we have $operatorname{ker}Asubset operatorname{ker}B=B^{perp}$.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
      $endgroup$
      – Mike
      Dec 13 '18 at 21:16












    • $begingroup$
      @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
      $endgroup$
      – amd
      Dec 13 '18 at 21:37










    • $begingroup$
      The row space of $A$ contains that of $B$. So there's dependence.
      $endgroup$
      – Chris Custer
      Dec 13 '18 at 22:06
















    2












    $begingroup$

    $Bt=0implies t$ is orthogonal to $B$. As for $operatorname{ker}A$, we have $operatorname{ker}Asubset operatorname{ker}B=B^{perp}$.






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
      $endgroup$
      – Mike
      Dec 13 '18 at 21:16












    • $begingroup$
      @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
      $endgroup$
      – amd
      Dec 13 '18 at 21:37










    • $begingroup$
      The row space of $A$ contains that of $B$. So there's dependence.
      $endgroup$
      – Chris Custer
      Dec 13 '18 at 22:06














    2












    2








    2





    $begingroup$

    $Bt=0implies t$ is orthogonal to $B$. As for $operatorname{ker}A$, we have $operatorname{ker}Asubset operatorname{ker}B=B^{perp}$.






    share|cite|improve this answer









    $endgroup$



    $Bt=0implies t$ is orthogonal to $B$. As for $operatorname{ker}A$, we have $operatorname{ker}Asubset operatorname{ker}B=B^{perp}$.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Dec 13 '18 at 20:49









    Chris CusterChris Custer

    13.9k3827




    13.9k3827












    • $begingroup$
      Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
      $endgroup$
      – Mike
      Dec 13 '18 at 21:16












    • $begingroup$
      @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
      $endgroup$
      – amd
      Dec 13 '18 at 21:37










    • $begingroup$
      The row space of $A$ contains that of $B$. So there's dependence.
      $endgroup$
      – Chris Custer
      Dec 13 '18 at 22:06


















    • $begingroup$
      Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
      $endgroup$
      – Mike
      Dec 13 '18 at 21:16












    • $begingroup$
      @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
      $endgroup$
      – amd
      Dec 13 '18 at 21:37










    • $begingroup$
      The row space of $A$ contains that of $B$. So there's dependence.
      $endgroup$
      – Chris Custer
      Dec 13 '18 at 22:06
















    $begingroup$
    Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
    $endgroup$
    – Mike
    Dec 13 '18 at 21:16






    $begingroup$
    Thanks. If $ker A subset ker B$, what does this tell us about the relationship between the row vectors in A and the vector B? Is there some linear dependence among them?
    $endgroup$
    – Mike
    Dec 13 '18 at 21:16














    $begingroup$
    @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
    $endgroup$
    – amd
    Dec 13 '18 at 21:37




    $begingroup$
    @Mike The only thing that you can say for sure is that they’re all elements of the orthogonal complement of the span of all of the $t$’s
    $endgroup$
    – amd
    Dec 13 '18 at 21:37












    $begingroup$
    The row space of $A$ contains that of $B$. So there's dependence.
    $endgroup$
    – Chris Custer
    Dec 13 '18 at 22:06




    $begingroup$
    The row space of $A$ contains that of $B$. So there's dependence.
    $endgroup$
    – Chris Custer
    Dec 13 '18 at 22:06











    0












    $begingroup$

    If $t$ and $B$ are non-zero, write $B cdot t$ as $langle v, t rangle$, then it is clear that any vector $v$ in the $N-1$ dimensional space perpendicular to t, i.e. $t^perp$, will satisfy $langle v, t rangle = 0$.



    Suppose $N gt 3$. Since you can choose the lines of A to be any vector in $t^perp$, and $t^perp$ is $N-1$ dimensional, there is no necessary relation between the null spaces of $A$ and $B$, i.e., the null space of $A$ may or may not contain the null space of $B$.



    if $N = 3$, then either the two lines of $A$ are linearly independent, or they are not. If they are linearly independent, they span $t^perp$, so the null space of $A$ contains the null space of $B$. If they are not linearly independent, they either the null space of $A$ is identical to the null space of $B$, or they are different.



    Finally, if $N = 2$, then $t^perp$ is one dimensional, and both lines of $A$ must be proportional to $v$, so the null space of both $A$ and $B$ must be the same.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      If $t$ and $B$ are non-zero, write $B cdot t$ as $langle v, t rangle$, then it is clear that any vector $v$ in the $N-1$ dimensional space perpendicular to t, i.e. $t^perp$, will satisfy $langle v, t rangle = 0$.



      Suppose $N gt 3$. Since you can choose the lines of A to be any vector in $t^perp$, and $t^perp$ is $N-1$ dimensional, there is no necessary relation between the null spaces of $A$ and $B$, i.e., the null space of $A$ may or may not contain the null space of $B$.



      if $N = 3$, then either the two lines of $A$ are linearly independent, or they are not. If they are linearly independent, they span $t^perp$, so the null space of $A$ contains the null space of $B$. If they are not linearly independent, they either the null space of $A$ is identical to the null space of $B$, or they are different.



      Finally, if $N = 2$, then $t^perp$ is one dimensional, and both lines of $A$ must be proportional to $v$, so the null space of both $A$ and $B$ must be the same.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        If $t$ and $B$ are non-zero, write $B cdot t$ as $langle v, t rangle$, then it is clear that any vector $v$ in the $N-1$ dimensional space perpendicular to t, i.e. $t^perp$, will satisfy $langle v, t rangle = 0$.



        Suppose $N gt 3$. Since you can choose the lines of A to be any vector in $t^perp$, and $t^perp$ is $N-1$ dimensional, there is no necessary relation between the null spaces of $A$ and $B$, i.e., the null space of $A$ may or may not contain the null space of $B$.



        if $N = 3$, then either the two lines of $A$ are linearly independent, or they are not. If they are linearly independent, they span $t^perp$, so the null space of $A$ contains the null space of $B$. If they are not linearly independent, they either the null space of $A$ is identical to the null space of $B$, or they are different.



        Finally, if $N = 2$, then $t^perp$ is one dimensional, and both lines of $A$ must be proportional to $v$, so the null space of both $A$ and $B$ must be the same.






        share|cite|improve this answer









        $endgroup$



        If $t$ and $B$ are non-zero, write $B cdot t$ as $langle v, t rangle$, then it is clear that any vector $v$ in the $N-1$ dimensional space perpendicular to t, i.e. $t^perp$, will satisfy $langle v, t rangle = 0$.



        Suppose $N gt 3$. Since you can choose the lines of A to be any vector in $t^perp$, and $t^perp$ is $N-1$ dimensional, there is no necessary relation between the null spaces of $A$ and $B$, i.e., the null space of $A$ may or may not contain the null space of $B$.



        if $N = 3$, then either the two lines of $A$ are linearly independent, or they are not. If they are linearly independent, they span $t^perp$, so the null space of $A$ contains the null space of $B$. If they are not linearly independent, they either the null space of $A$ is identical to the null space of $B$, or they are different.



        Finally, if $N = 2$, then $t^perp$ is one dimensional, and both lines of $A$ must be proportional to $v$, so the null space of both $A$ and $B$ must be the same.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 14 '18 at 12:31









        Marcelo Roberto JimenezMarcelo Roberto Jimenez

        464




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