Minimal polynomial linear operator $A$ in finite dimension complex vector space ptoblem












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Let $ m_{A} ( lambda) = (lambda -2)^2$ be a minimal polynomial of linear operator $A$ in finite dimension complex vector space. Find the mimimal polynomial of the operator $A^2$ .
This is what I tried:
There exists a vector v which is not zero so that
$ Av=2v$ . Then we have $ A^2(v)=A(2v)=2A(v)=4v$. So $lambda -4 $ is a factor in the minimal polynomial of $A^2$ . But how do I know if there are any other factors?
I got the same result when I tried looking at the determinants. From $ (A-2)^2 =0$ I got $A^2= 4A-4I$ and then I looked at the deterimants minus $lambda I $ but got nowhere.










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  • Possibly relevant fact: If $A,B$ are two commuting operators then every eigenspace of $A$ is an eigenspace of $B$, and vice versa.
    – user25959
    Nov 28 '18 at 15:48
















1














Let $ m_{A} ( lambda) = (lambda -2)^2$ be a minimal polynomial of linear operator $A$ in finite dimension complex vector space. Find the mimimal polynomial of the operator $A^2$ .
This is what I tried:
There exists a vector v which is not zero so that
$ Av=2v$ . Then we have $ A^2(v)=A(2v)=2A(v)=4v$. So $lambda -4 $ is a factor in the minimal polynomial of $A^2$ . But how do I know if there are any other factors?
I got the same result when I tried looking at the determinants. From $ (A-2)^2 =0$ I got $A^2= 4A-4I$ and then I looked at the deterimants minus $lambda I $ but got nowhere.










share|cite|improve this question






















  • Possibly relevant fact: If $A,B$ are two commuting operators then every eigenspace of $A$ is an eigenspace of $B$, and vice versa.
    – user25959
    Nov 28 '18 at 15:48














1












1








1







Let $ m_{A} ( lambda) = (lambda -2)^2$ be a minimal polynomial of linear operator $A$ in finite dimension complex vector space. Find the mimimal polynomial of the operator $A^2$ .
This is what I tried:
There exists a vector v which is not zero so that
$ Av=2v$ . Then we have $ A^2(v)=A(2v)=2A(v)=4v$. So $lambda -4 $ is a factor in the minimal polynomial of $A^2$ . But how do I know if there are any other factors?
I got the same result when I tried looking at the determinants. From $ (A-2)^2 =0$ I got $A^2= 4A-4I$ and then I looked at the deterimants minus $lambda I $ but got nowhere.










share|cite|improve this question













Let $ m_{A} ( lambda) = (lambda -2)^2$ be a minimal polynomial of linear operator $A$ in finite dimension complex vector space. Find the mimimal polynomial of the operator $A^2$ .
This is what I tried:
There exists a vector v which is not zero so that
$ Av=2v$ . Then we have $ A^2(v)=A(2v)=2A(v)=4v$. So $lambda -4 $ is a factor in the minimal polynomial of $A^2$ . But how do I know if there are any other factors?
I got the same result when I tried looking at the determinants. From $ (A-2)^2 =0$ I got $A^2= 4A-4I$ and then I looked at the deterimants minus $lambda I $ but got nowhere.







linear-algebra






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asked Nov 28 '18 at 15:35









user15269

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  • Possibly relevant fact: If $A,B$ are two commuting operators then every eigenspace of $A$ is an eigenspace of $B$, and vice versa.
    – user25959
    Nov 28 '18 at 15:48


















  • Possibly relevant fact: If $A,B$ are two commuting operators then every eigenspace of $A$ is an eigenspace of $B$, and vice versa.
    – user25959
    Nov 28 '18 at 15:48
















Possibly relevant fact: If $A,B$ are two commuting operators then every eigenspace of $A$ is an eigenspace of $B$, and vice versa.
– user25959
Nov 28 '18 at 15:48




Possibly relevant fact: If $A,B$ are two commuting operators then every eigenspace of $A$ is an eigenspace of $B$, and vice versa.
– user25959
Nov 28 '18 at 15:48










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You've made a good start; the fact that $A^2=4A-4I$ implies that
$$(A^2+4I)^2-16(A^2+4I)+64I=(4A)^2-16(4A)+64I=16(A^2-4A+4I)=0,$$
and so the minimal polynomial of $A^2$ divides
$$(lambda+4)^2-16(lambda+4)+64=((lambda+4)-8)^2=(lambda-4)^2,$$
hence there are no other factors.






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    You've made a good start; the fact that $A^2=4A-4I$ implies that
    $$(A^2+4I)^2-16(A^2+4I)+64I=(4A)^2-16(4A)+64I=16(A^2-4A+4I)=0,$$
    and so the minimal polynomial of $A^2$ divides
    $$(lambda+4)^2-16(lambda+4)+64=((lambda+4)-8)^2=(lambda-4)^2,$$
    hence there are no other factors.






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      You've made a good start; the fact that $A^2=4A-4I$ implies that
      $$(A^2+4I)^2-16(A^2+4I)+64I=(4A)^2-16(4A)+64I=16(A^2-4A+4I)=0,$$
      and so the minimal polynomial of $A^2$ divides
      $$(lambda+4)^2-16(lambda+4)+64=((lambda+4)-8)^2=(lambda-4)^2,$$
      hence there are no other factors.






      share|cite|improve this answer
























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        You've made a good start; the fact that $A^2=4A-4I$ implies that
        $$(A^2+4I)^2-16(A^2+4I)+64I=(4A)^2-16(4A)+64I=16(A^2-4A+4I)=0,$$
        and so the minimal polynomial of $A^2$ divides
        $$(lambda+4)^2-16(lambda+4)+64=((lambda+4)-8)^2=(lambda-4)^2,$$
        hence there are no other factors.






        share|cite|improve this answer












        You've made a good start; the fact that $A^2=4A-4I$ implies that
        $$(A^2+4I)^2-16(A^2+4I)+64I=(4A)^2-16(4A)+64I=16(A^2-4A+4I)=0,$$
        and so the minimal polynomial of $A^2$ divides
        $$(lambda+4)^2-16(lambda+4)+64=((lambda+4)-8)^2=(lambda-4)^2,$$
        hence there are no other factors.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 28 '18 at 17:58









        Servaes

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        22.4k33793






























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