Proving that product of two matrix is Singular [closed]












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Let $A$ be a $3times 2$ matrix and $B$ be a $2times 3$ matrix. Show that $C = Acdot B$ is a singluar matrix.




Not sure how to proceed with this. How can it be always be singular if we are randomly multiplying two matrix










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closed as off-topic by 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz Dec 4 '18 at 14:42


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz

If this question can be reworded to fit the rules in the help center, please edit the question.









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    $begingroup$
    Hint: think about the rank.
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    – GNUSupporter 8964民主女神 地下教會
    Dec 4 '18 at 10:23






  • 2




    $begingroup$
    math.meta.stackexchange.com/questions/9959/…
    $endgroup$
    – 5xum
    Dec 4 '18 at 10:24
















-1












$begingroup$



Let $A$ be a $3times 2$ matrix and $B$ be a $2times 3$ matrix. Show that $C = Acdot B$ is a singluar matrix.




Not sure how to proceed with this. How can it be always be singular if we are randomly multiplying two matrix










share|cite|improve this question











$endgroup$



closed as off-topic by 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz Dec 4 '18 at 14:42


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz

If this question can be reworded to fit the rules in the help center, please edit the question.









  • 2




    $begingroup$
    Hint: think about the rank.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 4 '18 at 10:23






  • 2




    $begingroup$
    math.meta.stackexchange.com/questions/9959/…
    $endgroup$
    – 5xum
    Dec 4 '18 at 10:24














-1












-1








-1





$begingroup$



Let $A$ be a $3times 2$ matrix and $B$ be a $2times 3$ matrix. Show that $C = Acdot B$ is a singluar matrix.




Not sure how to proceed with this. How can it be always be singular if we are randomly multiplying two matrix










share|cite|improve this question











$endgroup$





Let $A$ be a $3times 2$ matrix and $B$ be a $2times 3$ matrix. Show that $C = Acdot B$ is a singluar matrix.




Not sure how to proceed with this. How can it be always be singular if we are randomly multiplying two matrix







matrices






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share|cite|improve this question













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share|cite|improve this question








edited Dec 4 '18 at 10:24









Arthur

112k7109192




112k7109192










asked Dec 4 '18 at 10:21









ShashankShashank

31




31




closed as off-topic by 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz Dec 4 '18 at 14:42


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz

If this question can be reworded to fit the rules in the help center, please edit the question.




closed as off-topic by 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz Dec 4 '18 at 14:42


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – 5xum, Chinnapparaj R, Vidyanshu Mishra, jgon, A. Pongrácz

If this question can be reworded to fit the rules in the help center, please edit the question.








  • 2




    $begingroup$
    Hint: think about the rank.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 4 '18 at 10:23






  • 2




    $begingroup$
    math.meta.stackexchange.com/questions/9959/…
    $endgroup$
    – 5xum
    Dec 4 '18 at 10:24














  • 2




    $begingroup$
    Hint: think about the rank.
    $endgroup$
    – GNUSupporter 8964民主女神 地下教會
    Dec 4 '18 at 10:23






  • 2




    $begingroup$
    math.meta.stackexchange.com/questions/9959/…
    $endgroup$
    – 5xum
    Dec 4 '18 at 10:24








2




2




$begingroup$
Hint: think about the rank.
$endgroup$
– GNUSupporter 8964民主女神 地下教會
Dec 4 '18 at 10:23




$begingroup$
Hint: think about the rank.
$endgroup$
– GNUSupporter 8964民主女神 地下教會
Dec 4 '18 at 10:23




2




2




$begingroup$
math.meta.stackexchange.com/questions/9959/…
$endgroup$
– 5xum
Dec 4 '18 at 10:24




$begingroup$
math.meta.stackexchange.com/questions/9959/…
$endgroup$
– 5xum
Dec 4 '18 at 10:24










1 Answer
1






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oldest

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1












$begingroup$

The beauty of linear algebra is that it gives us the language to explain the same situation in many different terms.



For example, an $p$ by $p$ matrix $D$ being singular is equivalent to




  • $det(D)=0$

  • $rank(D)<p$

  • Their existing some vector other than the zero vector in $null(D)$


Using the second equivalence $rank(D)<p$ this tells us that to show a matrix $C=AB$ is singular, we must show that $rank(C)<3$ (since the product of $Ain R^{3x2}$ and $Bin R^{2x3}$ is in $R^{3x3}$).



Rectangular, non square matrices have a maximum rank of their smallest dimension (I mean spatial dimension rather than vector space dimension).



i.e. $$Ain R^{a x b},quad rank(A)le a quad (ale b)$$



We can use the fact that $rank(AB)le min(rank(A), rank(B))$.



We have



$$rank(A)le 2 \ rank(B)le 2$$



So



$$rank(C)=rank(AB)le 2 < 3$$



So $C$ is singular.






share|cite|improve this answer









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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    The beauty of linear algebra is that it gives us the language to explain the same situation in many different terms.



    For example, an $p$ by $p$ matrix $D$ being singular is equivalent to




    • $det(D)=0$

    • $rank(D)<p$

    • Their existing some vector other than the zero vector in $null(D)$


    Using the second equivalence $rank(D)<p$ this tells us that to show a matrix $C=AB$ is singular, we must show that $rank(C)<3$ (since the product of $Ain R^{3x2}$ and $Bin R^{2x3}$ is in $R^{3x3}$).



    Rectangular, non square matrices have a maximum rank of their smallest dimension (I mean spatial dimension rather than vector space dimension).



    i.e. $$Ain R^{a x b},quad rank(A)le a quad (ale b)$$



    We can use the fact that $rank(AB)le min(rank(A), rank(B))$.



    We have



    $$rank(A)le 2 \ rank(B)le 2$$



    So



    $$rank(C)=rank(AB)le 2 < 3$$



    So $C$ is singular.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      The beauty of linear algebra is that it gives us the language to explain the same situation in many different terms.



      For example, an $p$ by $p$ matrix $D$ being singular is equivalent to




      • $det(D)=0$

      • $rank(D)<p$

      • Their existing some vector other than the zero vector in $null(D)$


      Using the second equivalence $rank(D)<p$ this tells us that to show a matrix $C=AB$ is singular, we must show that $rank(C)<3$ (since the product of $Ain R^{3x2}$ and $Bin R^{2x3}$ is in $R^{3x3}$).



      Rectangular, non square matrices have a maximum rank of their smallest dimension (I mean spatial dimension rather than vector space dimension).



      i.e. $$Ain R^{a x b},quad rank(A)le a quad (ale b)$$



      We can use the fact that $rank(AB)le min(rank(A), rank(B))$.



      We have



      $$rank(A)le 2 \ rank(B)le 2$$



      So



      $$rank(C)=rank(AB)le 2 < 3$$



      So $C$ is singular.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        The beauty of linear algebra is that it gives us the language to explain the same situation in many different terms.



        For example, an $p$ by $p$ matrix $D$ being singular is equivalent to




        • $det(D)=0$

        • $rank(D)<p$

        • Their existing some vector other than the zero vector in $null(D)$


        Using the second equivalence $rank(D)<p$ this tells us that to show a matrix $C=AB$ is singular, we must show that $rank(C)<3$ (since the product of $Ain R^{3x2}$ and $Bin R^{2x3}$ is in $R^{3x3}$).



        Rectangular, non square matrices have a maximum rank of their smallest dimension (I mean spatial dimension rather than vector space dimension).



        i.e. $$Ain R^{a x b},quad rank(A)le a quad (ale b)$$



        We can use the fact that $rank(AB)le min(rank(A), rank(B))$.



        We have



        $$rank(A)le 2 \ rank(B)le 2$$



        So



        $$rank(C)=rank(AB)le 2 < 3$$



        So $C$ is singular.






        share|cite|improve this answer









        $endgroup$



        The beauty of linear algebra is that it gives us the language to explain the same situation in many different terms.



        For example, an $p$ by $p$ matrix $D$ being singular is equivalent to




        • $det(D)=0$

        • $rank(D)<p$

        • Their existing some vector other than the zero vector in $null(D)$


        Using the second equivalence $rank(D)<p$ this tells us that to show a matrix $C=AB$ is singular, we must show that $rank(C)<3$ (since the product of $Ain R^{3x2}$ and $Bin R^{2x3}$ is in $R^{3x3}$).



        Rectangular, non square matrices have a maximum rank of their smallest dimension (I mean spatial dimension rather than vector space dimension).



        i.e. $$Ain R^{a x b},quad rank(A)le a quad (ale b)$$



        We can use the fact that $rank(AB)le min(rank(A), rank(B))$.



        We have



        $$rank(A)le 2 \ rank(B)le 2$$



        So



        $$rank(C)=rank(AB)le 2 < 3$$



        So $C$ is singular.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 4 '18 at 10:46









        Joel BiffinJoel Biffin

        966




        966















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