If $A$ is an anti-symmetric matrix of size $N$ where $N$ is odd, then $lambda=0$ is an eigenvalue of $A$ ...

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If $A$ is an anti-symmetric matrix of size $N$ where $N$ is odd, then $lambda=0$ is an eigenvalue of $A$



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1












$begingroup$



True or False: If $A$ is an anti-symmetric matrix of size $N$ where $N$ is odd then $lambda=0$ is an eigenvalue of $A$.




Through observation, it is false. However, how can I prove that this statement is false?



What part of the definition of an anti-symmetric matrix would allow me to do this?



This is for freshman linear algebra.










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Why do you say "Through observation, it is false"? Do you have an example to share?
    $endgroup$
    – hardmath
    Mar 23 at 22:45








  • 1




    $begingroup$
    To prove this is false, it would be sufficient for you to present a particular $Ntimes N$ matrix where $N$ is odd (e.g. a particular $3times 3$ matrix) that is anti symmetric and does not have $0$ as an eigenvalue. (You would need to show that it does not have $0$ as an eigenvalue.) (This is due to the general principle that to show that something is not always true, a specific counterexample is sufficient.) But do you have such a matrix?
    $endgroup$
    – Minus One-Twelfth
    Mar 23 at 22:46








  • 1




    $begingroup$
    To prove a universal statement is false, it suffices to produce a single instance of it failing, as Minus One-Twelfth says. But I think that you are incorrect in your observations... Because note that $0$ is an eigenvalue of $A$ if and only if $A$ is not invertible, if and only if its determinant is $0$. And in general, the determinant of a matrix $M$ and of its transpose $M^t$ are equal... So....
    $endgroup$
    – Arturo Magidin
    Mar 23 at 22:48
















1












$begingroup$



True or False: If $A$ is an anti-symmetric matrix of size $N$ where $N$ is odd then $lambda=0$ is an eigenvalue of $A$.




Through observation, it is false. However, how can I prove that this statement is false?



What part of the definition of an anti-symmetric matrix would allow me to do this?



This is for freshman linear algebra.










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Why do you say "Through observation, it is false"? Do you have an example to share?
    $endgroup$
    – hardmath
    Mar 23 at 22:45








  • 1




    $begingroup$
    To prove this is false, it would be sufficient for you to present a particular $Ntimes N$ matrix where $N$ is odd (e.g. a particular $3times 3$ matrix) that is anti symmetric and does not have $0$ as an eigenvalue. (You would need to show that it does not have $0$ as an eigenvalue.) (This is due to the general principle that to show that something is not always true, a specific counterexample is sufficient.) But do you have such a matrix?
    $endgroup$
    – Minus One-Twelfth
    Mar 23 at 22:46








  • 1




    $begingroup$
    To prove a universal statement is false, it suffices to produce a single instance of it failing, as Minus One-Twelfth says. But I think that you are incorrect in your observations... Because note that $0$ is an eigenvalue of $A$ if and only if $A$ is not invertible, if and only if its determinant is $0$. And in general, the determinant of a matrix $M$ and of its transpose $M^t$ are equal... So....
    $endgroup$
    – Arturo Magidin
    Mar 23 at 22:48














1












1








1


1



$begingroup$



True or False: If $A$ is an anti-symmetric matrix of size $N$ where $N$ is odd then $lambda=0$ is an eigenvalue of $A$.




Through observation, it is false. However, how can I prove that this statement is false?



What part of the definition of an anti-symmetric matrix would allow me to do this?



This is for freshman linear algebra.










share|cite|improve this question











$endgroup$





True or False: If $A$ is an anti-symmetric matrix of size $N$ where $N$ is odd then $lambda=0$ is an eigenvalue of $A$.




Through observation, it is false. However, how can I prove that this statement is false?



What part of the definition of an anti-symmetric matrix would allow me to do this?



This is for freshman linear algebra.







linear-algebra






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 23 at 22:49









Rócherz

3,0263823




3,0263823










asked Mar 23 at 22:41









MCCMCC

368




368








  • 1




    $begingroup$
    Why do you say "Through observation, it is false"? Do you have an example to share?
    $endgroup$
    – hardmath
    Mar 23 at 22:45








  • 1




    $begingroup$
    To prove this is false, it would be sufficient for you to present a particular $Ntimes N$ matrix where $N$ is odd (e.g. a particular $3times 3$ matrix) that is anti symmetric and does not have $0$ as an eigenvalue. (You would need to show that it does not have $0$ as an eigenvalue.) (This is due to the general principle that to show that something is not always true, a specific counterexample is sufficient.) But do you have such a matrix?
    $endgroup$
    – Minus One-Twelfth
    Mar 23 at 22:46








  • 1




    $begingroup$
    To prove a universal statement is false, it suffices to produce a single instance of it failing, as Minus One-Twelfth says. But I think that you are incorrect in your observations... Because note that $0$ is an eigenvalue of $A$ if and only if $A$ is not invertible, if and only if its determinant is $0$. And in general, the determinant of a matrix $M$ and of its transpose $M^t$ are equal... So....
    $endgroup$
    – Arturo Magidin
    Mar 23 at 22:48














  • 1




    $begingroup$
    Why do you say "Through observation, it is false"? Do you have an example to share?
    $endgroup$
    – hardmath
    Mar 23 at 22:45








  • 1




    $begingroup$
    To prove this is false, it would be sufficient for you to present a particular $Ntimes N$ matrix where $N$ is odd (e.g. a particular $3times 3$ matrix) that is anti symmetric and does not have $0$ as an eigenvalue. (You would need to show that it does not have $0$ as an eigenvalue.) (This is due to the general principle that to show that something is not always true, a specific counterexample is sufficient.) But do you have such a matrix?
    $endgroup$
    – Minus One-Twelfth
    Mar 23 at 22:46








  • 1




    $begingroup$
    To prove a universal statement is false, it suffices to produce a single instance of it failing, as Minus One-Twelfth says. But I think that you are incorrect in your observations... Because note that $0$ is an eigenvalue of $A$ if and only if $A$ is not invertible, if and only if its determinant is $0$. And in general, the determinant of a matrix $M$ and of its transpose $M^t$ are equal... So....
    $endgroup$
    – Arturo Magidin
    Mar 23 at 22:48








1




1




$begingroup$
Why do you say "Through observation, it is false"? Do you have an example to share?
$endgroup$
– hardmath
Mar 23 at 22:45






$begingroup$
Why do you say "Through observation, it is false"? Do you have an example to share?
$endgroup$
– hardmath
Mar 23 at 22:45






1




1




$begingroup$
To prove this is false, it would be sufficient for you to present a particular $Ntimes N$ matrix where $N$ is odd (e.g. a particular $3times 3$ matrix) that is anti symmetric and does not have $0$ as an eigenvalue. (You would need to show that it does not have $0$ as an eigenvalue.) (This is due to the general principle that to show that something is not always true, a specific counterexample is sufficient.) But do you have such a matrix?
$endgroup$
– Minus One-Twelfth
Mar 23 at 22:46






$begingroup$
To prove this is false, it would be sufficient for you to present a particular $Ntimes N$ matrix where $N$ is odd (e.g. a particular $3times 3$ matrix) that is anti symmetric and does not have $0$ as an eigenvalue. (You would need to show that it does not have $0$ as an eigenvalue.) (This is due to the general principle that to show that something is not always true, a specific counterexample is sufficient.) But do you have such a matrix?
$endgroup$
– Minus One-Twelfth
Mar 23 at 22:46






1




1




$begingroup$
To prove a universal statement is false, it suffices to produce a single instance of it failing, as Minus One-Twelfth says. But I think that you are incorrect in your observations... Because note that $0$ is an eigenvalue of $A$ if and only if $A$ is not invertible, if and only if its determinant is $0$. And in general, the determinant of a matrix $M$ and of its transpose $M^t$ are equal... So....
$endgroup$
– Arturo Magidin
Mar 23 at 22:48




$begingroup$
To prove a universal statement is false, it suffices to produce a single instance of it failing, as Minus One-Twelfth says. But I think that you are incorrect in your observations... Because note that $0$ is an eigenvalue of $A$ if and only if $A$ is not invertible, if and only if its determinant is $0$. And in general, the determinant of a matrix $M$ and of its transpose $M^t$ are equal... So....
$endgroup$
– Arturo Magidin
Mar 23 at 22:48










2 Answers
2






active

oldest

votes


















4












$begingroup$

The statement is true, you only need to prove that $det A=0$.



$det A=det (A^T)=det (-A)=(-1)^Ndet A=-det A$, then $det A$ has to be $0$.






share|cite|improve this answer











$endgroup$





















    0












    $begingroup$

    It is true for real skew-symmetric matrices $A = -A^T$ of odd size $N$.



    Since



    $text{size} A = N ; text{odd}, tag 1$



    the characteristic polynomial



    $det(A - lambda I) in Bbb R[lambda], tag 2$



    which satisfies



    $deg(det(A - lambda I)) = N tag 3$



    has at least one real root; thus our proof will be completed if we show that the only real eigenvalue of a skew-symmetric matrix is $0$; now if



    $A v = lambda v, tag 4$



    we have



    $lambda langle v, v rangle = langle v, lambda v rangle =langle v, Av rangle = langle A^T v, v rangle = langle -Av, v rangle = langle -lambda v, v rangle = -lambda langle v, v rangle; tag 5$



    with $v ne 0$, $langle v, v rangle ne 0$, whence



    $lambda = -lambda Longrightarrow lambda = 0. tag 6$



    $OEDelta$.






    share|cite|improve this answer











    $endgroup$














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      2 Answers
      2






      active

      oldest

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      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      4












      $begingroup$

      The statement is true, you only need to prove that $det A=0$.



      $det A=det (A^T)=det (-A)=(-1)^Ndet A=-det A$, then $det A$ has to be $0$.






      share|cite|improve this answer











      $endgroup$


















        4












        $begingroup$

        The statement is true, you only need to prove that $det A=0$.



        $det A=det (A^T)=det (-A)=(-1)^Ndet A=-det A$, then $det A$ has to be $0$.






        share|cite|improve this answer











        $endgroup$
















          4












          4








          4





          $begingroup$

          The statement is true, you only need to prove that $det A=0$.



          $det A=det (A^T)=det (-A)=(-1)^Ndet A=-det A$, then $det A$ has to be $0$.






          share|cite|improve this answer











          $endgroup$



          The statement is true, you only need to prove that $det A=0$.



          $det A=det (A^T)=det (-A)=(-1)^Ndet A=-det A$, then $det A$ has to be $0$.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Mar 23 at 23:01









          Arturo Magidin

          266k34591922




          266k34591922










          answered Mar 23 at 22:50









          GaoGao

          986




          986























              0












              $begingroup$

              It is true for real skew-symmetric matrices $A = -A^T$ of odd size $N$.



              Since



              $text{size} A = N ; text{odd}, tag 1$



              the characteristic polynomial



              $det(A - lambda I) in Bbb R[lambda], tag 2$



              which satisfies



              $deg(det(A - lambda I)) = N tag 3$



              has at least one real root; thus our proof will be completed if we show that the only real eigenvalue of a skew-symmetric matrix is $0$; now if



              $A v = lambda v, tag 4$



              we have



              $lambda langle v, v rangle = langle v, lambda v rangle =langle v, Av rangle = langle A^T v, v rangle = langle -Av, v rangle = langle -lambda v, v rangle = -lambda langle v, v rangle; tag 5$



              with $v ne 0$, $langle v, v rangle ne 0$, whence



              $lambda = -lambda Longrightarrow lambda = 0. tag 6$



              $OEDelta$.






              share|cite|improve this answer











              $endgroup$


















                0












                $begingroup$

                It is true for real skew-symmetric matrices $A = -A^T$ of odd size $N$.



                Since



                $text{size} A = N ; text{odd}, tag 1$



                the characteristic polynomial



                $det(A - lambda I) in Bbb R[lambda], tag 2$



                which satisfies



                $deg(det(A - lambda I)) = N tag 3$



                has at least one real root; thus our proof will be completed if we show that the only real eigenvalue of a skew-symmetric matrix is $0$; now if



                $A v = lambda v, tag 4$



                we have



                $lambda langle v, v rangle = langle v, lambda v rangle =langle v, Av rangle = langle A^T v, v rangle = langle -Av, v rangle = langle -lambda v, v rangle = -lambda langle v, v rangle; tag 5$



                with $v ne 0$, $langle v, v rangle ne 0$, whence



                $lambda = -lambda Longrightarrow lambda = 0. tag 6$



                $OEDelta$.






                share|cite|improve this answer











                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  It is true for real skew-symmetric matrices $A = -A^T$ of odd size $N$.



                  Since



                  $text{size} A = N ; text{odd}, tag 1$



                  the characteristic polynomial



                  $det(A - lambda I) in Bbb R[lambda], tag 2$



                  which satisfies



                  $deg(det(A - lambda I)) = N tag 3$



                  has at least one real root; thus our proof will be completed if we show that the only real eigenvalue of a skew-symmetric matrix is $0$; now if



                  $A v = lambda v, tag 4$



                  we have



                  $lambda langle v, v rangle = langle v, lambda v rangle =langle v, Av rangle = langle A^T v, v rangle = langle -Av, v rangle = langle -lambda v, v rangle = -lambda langle v, v rangle; tag 5$



                  with $v ne 0$, $langle v, v rangle ne 0$, whence



                  $lambda = -lambda Longrightarrow lambda = 0. tag 6$



                  $OEDelta$.






                  share|cite|improve this answer











                  $endgroup$



                  It is true for real skew-symmetric matrices $A = -A^T$ of odd size $N$.



                  Since



                  $text{size} A = N ; text{odd}, tag 1$



                  the characteristic polynomial



                  $det(A - lambda I) in Bbb R[lambda], tag 2$



                  which satisfies



                  $deg(det(A - lambda I)) = N tag 3$



                  has at least one real root; thus our proof will be completed if we show that the only real eigenvalue of a skew-symmetric matrix is $0$; now if



                  $A v = lambda v, tag 4$



                  we have



                  $lambda langle v, v rangle = langle v, lambda v rangle =langle v, Av rangle = langle A^T v, v rangle = langle -Av, v rangle = langle -lambda v, v rangle = -lambda langle v, v rangle; tag 5$



                  with $v ne 0$, $langle v, v rangle ne 0$, whence



                  $lambda = -lambda Longrightarrow lambda = 0. tag 6$



                  $OEDelta$.







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Mar 23 at 23:36

























                  answered Mar 23 at 23:03









                  Robert LewisRobert Lewis

                  49k23168




                  49k23168






























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