If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable

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If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.




Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?







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  • You can use the fact that if an $n×n$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
    – Anik Bhowmick
    Aug 21 at 8:08










  • @AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
    – DonAntonio
    Aug 21 at 8:10










  • I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
    – Anik Bhowmick
    Aug 21 at 8:11






  • 1




    @AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
    – DonAntonio
    Aug 21 at 8:14










  • Thanks @DonAntonio for clearing my doubt !!
    – Anik Bhowmick
    Aug 21 at 8:15














up vote
2
down vote

favorite













If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.




Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?







share|cite|improve this question






















  • You can use the fact that if an $n×n$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
    – Anik Bhowmick
    Aug 21 at 8:08










  • @AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
    – DonAntonio
    Aug 21 at 8:10










  • I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
    – Anik Bhowmick
    Aug 21 at 8:11






  • 1




    @AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
    – DonAntonio
    Aug 21 at 8:14










  • Thanks @DonAntonio for clearing my doubt !!
    – Anik Bhowmick
    Aug 21 at 8:15












up vote
2
down vote

favorite









up vote
2
down vote

favorite












If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.




Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?







share|cite|improve this question















If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.




Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?









share|cite|improve this question













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edited Aug 21 at 8:18









Rodrigo de Azevedo

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12.6k41751










asked Aug 21 at 8:03









LOIS

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  • You can use the fact that if an $n×n$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
    – Anik Bhowmick
    Aug 21 at 8:08










  • @AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
    – DonAntonio
    Aug 21 at 8:10










  • I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
    – Anik Bhowmick
    Aug 21 at 8:11






  • 1




    @AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
    – DonAntonio
    Aug 21 at 8:14










  • Thanks @DonAntonio for clearing my doubt !!
    – Anik Bhowmick
    Aug 21 at 8:15
















  • You can use the fact that if an $n×n$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
    – Anik Bhowmick
    Aug 21 at 8:08










  • @AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
    – DonAntonio
    Aug 21 at 8:10










  • I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
    – Anik Bhowmick
    Aug 21 at 8:11






  • 1




    @AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
    – DonAntonio
    Aug 21 at 8:14










  • Thanks @DonAntonio for clearing my doubt !!
    – Anik Bhowmick
    Aug 21 at 8:15















You can use the fact that if an $n×n$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
– Anik Bhowmick
Aug 21 at 8:08




You can use the fact that if an $n×n$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
– Anik Bhowmick
Aug 21 at 8:08












@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
– DonAntonio
Aug 21 at 8:10




@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
– DonAntonio
Aug 21 at 8:10












I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
– Anik Bhowmick
Aug 21 at 8:11




I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
– Anik Bhowmick
Aug 21 at 8:11




1




1




@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
– DonAntonio
Aug 21 at 8:14




@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
– DonAntonio
Aug 21 at 8:14












Thanks @DonAntonio for clearing my doubt !!
– Anik Bhowmick
Aug 21 at 8:15




Thanks @DonAntonio for clearing my doubt !!
– Anik Bhowmick
Aug 21 at 8:15










4 Answers
4






active

oldest

votes

















up vote
3
down vote



accepted










Guide:



The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.



  • Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.


  • Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.






share|cite|improve this answer



























    up vote
    1
    down vote













    $A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.






    share|cite|improve this answer



























      up vote
      0
      down vote













      Yes, it is about eigenvalues.



      If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.



      Now, what can you tell about A eigenvalues ?



      Hint, if $lambda$ is eigenvalue:



      $$exists x, A^3x=lambda^3 x$$






      share|cite|improve this answer



























        up vote
        0
        down vote













        As other people said, you can see that the eigenvalues are zero.
        To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?






        share|cite|improve this answer




















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          4 Answers
          4






          active

          oldest

          votes








          4 Answers
          4






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          3
          down vote



          accepted










          Guide:



          The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.



          • Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.


          • Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.






          share|cite|improve this answer
























            up vote
            3
            down vote



            accepted










            Guide:



            The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.



            • Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.


            • Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.






            share|cite|improve this answer






















              up vote
              3
              down vote



              accepted







              up vote
              3
              down vote



              accepted






              Guide:



              The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.



              • Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.


              • Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.






              share|cite|improve this answer












              Guide:



              The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.



              • Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.


              • Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.







              share|cite|improve this answer












              share|cite|improve this answer



              share|cite|improve this answer










              answered Aug 21 at 8:08









              Siong Thye Goh

              80.2k1453100




              80.2k1453100




















                  up vote
                  1
                  down vote













                  $A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.






                  share|cite|improve this answer
























                    up vote
                    1
                    down vote













                    $A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.






                    share|cite|improve this answer






















                      up vote
                      1
                      down vote










                      up vote
                      1
                      down vote









                      $A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.






                      share|cite|improve this answer












                      $A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered Aug 21 at 8:46









                      Fred

                      38.2k1238




                      38.2k1238




















                          up vote
                          0
                          down vote













                          Yes, it is about eigenvalues.



                          If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.



                          Now, what can you tell about A eigenvalues ?



                          Hint, if $lambda$ is eigenvalue:



                          $$exists x, A^3x=lambda^3 x$$






                          share|cite|improve this answer
























                            up vote
                            0
                            down vote













                            Yes, it is about eigenvalues.



                            If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.



                            Now, what can you tell about A eigenvalues ?



                            Hint, if $lambda$ is eigenvalue:



                            $$exists x, A^3x=lambda^3 x$$






                            share|cite|improve this answer






















                              up vote
                              0
                              down vote










                              up vote
                              0
                              down vote









                              Yes, it is about eigenvalues.



                              If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.



                              Now, what can you tell about A eigenvalues ?



                              Hint, if $lambda$ is eigenvalue:



                              $$exists x, A^3x=lambda^3 x$$






                              share|cite|improve this answer












                              Yes, it is about eigenvalues.



                              If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.



                              Now, what can you tell about A eigenvalues ?



                              Hint, if $lambda$ is eigenvalue:



                              $$exists x, A^3x=lambda^3 x$$







                              share|cite|improve this answer












                              share|cite|improve this answer



                              share|cite|improve this answer










                              answered Aug 21 at 8:09









                              F.Carette

                              4288




                              4288




















                                  up vote
                                  0
                                  down vote













                                  As other people said, you can see that the eigenvalues are zero.
                                  To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?






                                  share|cite|improve this answer
























                                    up vote
                                    0
                                    down vote













                                    As other people said, you can see that the eigenvalues are zero.
                                    To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?






                                    share|cite|improve this answer






















                                      up vote
                                      0
                                      down vote










                                      up vote
                                      0
                                      down vote









                                      As other people said, you can see that the eigenvalues are zero.
                                      To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?






                                      share|cite|improve this answer












                                      As other people said, you can see that the eigenvalues are zero.
                                      To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?







                                      share|cite|improve this answer












                                      share|cite|improve this answer



                                      share|cite|improve this answer










                                      answered Aug 21 at 8:35









                                      MelaniesWoesAgain

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