Let T be a linear operator of an n-dimensional vector space V over a field F. Assume that T is nilpotent....












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Let T be a linear operator of an n-dimensional vector space V over a field F. Assume that T is nilpotent. Show that $T^n = 0$.



I've seen people prove this with an argument involving minimal polynomials. Can someone prove this without such an argument?










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    They're looking to prove that the degree of nilpotency is bounded by the dimension of the vector space.
    $endgroup$
    – Ashwin Trisal
    Dec 7 '18 at 3:58
















0












$begingroup$


Let T be a linear operator of an n-dimensional vector space V over a field F. Assume that T is nilpotent. Show that $T^n = 0$.



I've seen people prove this with an argument involving minimal polynomials. Can someone prove this without such an argument?










share|cite|improve this question











$endgroup$








  • 2




    $begingroup$
    They're looking to prove that the degree of nilpotency is bounded by the dimension of the vector space.
    $endgroup$
    – Ashwin Trisal
    Dec 7 '18 at 3:58














0












0








0





$begingroup$


Let T be a linear operator of an n-dimensional vector space V over a field F. Assume that T is nilpotent. Show that $T^n = 0$.



I've seen people prove this with an argument involving minimal polynomials. Can someone prove this without such an argument?










share|cite|improve this question











$endgroup$




Let T be a linear operator of an n-dimensional vector space V over a field F. Assume that T is nilpotent. Show that $T^n = 0$.



I've seen people prove this with an argument involving minimal polynomials. Can someone prove this without such an argument?







linear-algebra






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edited Dec 7 '18 at 3:50









Key Flex

8,33261233




8,33261233










asked Dec 7 '18 at 3:48









IUissoprettyIUissopretty

516




516








  • 2




    $begingroup$
    They're looking to prove that the degree of nilpotency is bounded by the dimension of the vector space.
    $endgroup$
    – Ashwin Trisal
    Dec 7 '18 at 3:58














  • 2




    $begingroup$
    They're looking to prove that the degree of nilpotency is bounded by the dimension of the vector space.
    $endgroup$
    – Ashwin Trisal
    Dec 7 '18 at 3:58








2




2




$begingroup$
They're looking to prove that the degree of nilpotency is bounded by the dimension of the vector space.
$endgroup$
– Ashwin Trisal
Dec 7 '18 at 3:58




$begingroup$
They're looking to prove that the degree of nilpotency is bounded by the dimension of the vector space.
$endgroup$
– Ashwin Trisal
Dec 7 '18 at 3:58










4 Answers
4






active

oldest

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1












$begingroup$

Suppose $T^n ne 0$. Then there exists $xne 0$ such that $T^n x ne 0$. Hence,
${ x,Tx,T^2x,cdots,T^n x}$ is a linearly independent set of vectors. To see why, suppose
$$
alpha_0 x+alpha_1 Tx+cdots + alpha_n T^n x = 0,
$$



and apply $T^k$ to the above, where $T^kxne 0$ and $T^{k+1}x=0$. Conclude that $alpha_0=0$. Continue in orer to conclude that $alpha_0=alpha_1=cdots=alpha_n=0$. Hence ${x,Tx,T^2x,cdots,T^nx}$ is a linearly-independent set, which forces $n < dim{V}$. This is true for every $x$. Therefore $T^{dim(V)}=0$.






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    2












    $begingroup$

    Note first that if $T$ fixes any nonzero $Wsubset V$, then $T(W)< W$; otherwise, $Tvert W$ is an isomorphism, and so $T^knot = 0$ for all $k$. Now consider the chain of inclusions $Vsupset T(V) supset T^2(V) supset cdots$.






    share|cite|improve this answer









    $endgroup$





















      1












      $begingroup$

      Consider the subspaces $V_i:=text{Im}(T^i)$. If $V_i=V_{i+1}$, then by definition $V_i=V_j,forall jge i$. Since $T$ si nilpotent, $V_i$ is descending to $left{0right}$. Thus if $V_i=V_{i+1}$ for some $i$, then $V_i=left{0right}$. Also if $V_ine V_{i+1}$ then $text{dim}(V_i)getext{dim}(V_{i+1})+1$. As a consequence $V_n=left{0right}$.



      Also, one can use the pigeon-hole principle: the dimensions of $V_i$ are in the set $left{1,2,cdots,nright}$, and there are $n+1$ elements in $left{text{dim}(V_i)mid i=0,1,cdots,nright}$, so $text{dim}(V_i)=text{dim}(V_{i+1})$ for some $i=0,1,cdots,n$, which implies our desired result as $V_isupseteq V_{i+1},forall i$.





      Hope this helps.






      share|cite|improve this answer











      $endgroup$





















        1












        $begingroup$

        For a more computational approach, every matrix can be upper triangularized. It suffices to prove that if $g$ is a nilpotent $n$ by $n$ upper triangular matrix, then $g^n = 0$. You can check that all the diagonal entries of $g$ are zero, and then the claim easily follows.






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          4 Answers
          4






          active

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          4 Answers
          4






          active

          oldest

          votes









          active

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          votes






          active

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          1












          $begingroup$

          Suppose $T^n ne 0$. Then there exists $xne 0$ such that $T^n x ne 0$. Hence,
          ${ x,Tx,T^2x,cdots,T^n x}$ is a linearly independent set of vectors. To see why, suppose
          $$
          alpha_0 x+alpha_1 Tx+cdots + alpha_n T^n x = 0,
          $$



          and apply $T^k$ to the above, where $T^kxne 0$ and $T^{k+1}x=0$. Conclude that $alpha_0=0$. Continue in orer to conclude that $alpha_0=alpha_1=cdots=alpha_n=0$. Hence ${x,Tx,T^2x,cdots,T^nx}$ is a linearly-independent set, which forces $n < dim{V}$. This is true for every $x$. Therefore $T^{dim(V)}=0$.






          share|cite|improve this answer









          $endgroup$


















            1












            $begingroup$

            Suppose $T^n ne 0$. Then there exists $xne 0$ such that $T^n x ne 0$. Hence,
            ${ x,Tx,T^2x,cdots,T^n x}$ is a linearly independent set of vectors. To see why, suppose
            $$
            alpha_0 x+alpha_1 Tx+cdots + alpha_n T^n x = 0,
            $$



            and apply $T^k$ to the above, where $T^kxne 0$ and $T^{k+1}x=0$. Conclude that $alpha_0=0$. Continue in orer to conclude that $alpha_0=alpha_1=cdots=alpha_n=0$. Hence ${x,Tx,T^2x,cdots,T^nx}$ is a linearly-independent set, which forces $n < dim{V}$. This is true for every $x$. Therefore $T^{dim(V)}=0$.






            share|cite|improve this answer









            $endgroup$
















              1












              1








              1





              $begingroup$

              Suppose $T^n ne 0$. Then there exists $xne 0$ such that $T^n x ne 0$. Hence,
              ${ x,Tx,T^2x,cdots,T^n x}$ is a linearly independent set of vectors. To see why, suppose
              $$
              alpha_0 x+alpha_1 Tx+cdots + alpha_n T^n x = 0,
              $$



              and apply $T^k$ to the above, where $T^kxne 0$ and $T^{k+1}x=0$. Conclude that $alpha_0=0$. Continue in orer to conclude that $alpha_0=alpha_1=cdots=alpha_n=0$. Hence ${x,Tx,T^2x,cdots,T^nx}$ is a linearly-independent set, which forces $n < dim{V}$. This is true for every $x$. Therefore $T^{dim(V)}=0$.






              share|cite|improve this answer









              $endgroup$



              Suppose $T^n ne 0$. Then there exists $xne 0$ such that $T^n x ne 0$. Hence,
              ${ x,Tx,T^2x,cdots,T^n x}$ is a linearly independent set of vectors. To see why, suppose
              $$
              alpha_0 x+alpha_1 Tx+cdots + alpha_n T^n x = 0,
              $$



              and apply $T^k$ to the above, where $T^kxne 0$ and $T^{k+1}x=0$. Conclude that $alpha_0=0$. Continue in orer to conclude that $alpha_0=alpha_1=cdots=alpha_n=0$. Hence ${x,Tx,T^2x,cdots,T^nx}$ is a linearly-independent set, which forces $n < dim{V}$. This is true for every $x$. Therefore $T^{dim(V)}=0$.







              share|cite|improve this answer












              share|cite|improve this answer



              share|cite|improve this answer










              answered Dec 7 '18 at 4:52









              DisintegratingByPartsDisintegratingByParts

              59.6k42581




              59.6k42581























                  2












                  $begingroup$

                  Note first that if $T$ fixes any nonzero $Wsubset V$, then $T(W)< W$; otherwise, $Tvert W$ is an isomorphism, and so $T^knot = 0$ for all $k$. Now consider the chain of inclusions $Vsupset T(V) supset T^2(V) supset cdots$.






                  share|cite|improve this answer









                  $endgroup$


















                    2












                    $begingroup$

                    Note first that if $T$ fixes any nonzero $Wsubset V$, then $T(W)< W$; otherwise, $Tvert W$ is an isomorphism, and so $T^knot = 0$ for all $k$. Now consider the chain of inclusions $Vsupset T(V) supset T^2(V) supset cdots$.






                    share|cite|improve this answer









                    $endgroup$
















                      2












                      2








                      2





                      $begingroup$

                      Note first that if $T$ fixes any nonzero $Wsubset V$, then $T(W)< W$; otherwise, $Tvert W$ is an isomorphism, and so $T^knot = 0$ for all $k$. Now consider the chain of inclusions $Vsupset T(V) supset T^2(V) supset cdots$.






                      share|cite|improve this answer









                      $endgroup$



                      Note first that if $T$ fixes any nonzero $Wsubset V$, then $T(W)< W$; otherwise, $Tvert W$ is an isomorphism, and so $T^knot = 0$ for all $k$. Now consider the chain of inclusions $Vsupset T(V) supset T^2(V) supset cdots$.







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered Dec 7 '18 at 3:56









                      anomalyanomaly

                      17.7k42666




                      17.7k42666























                          1












                          $begingroup$

                          Consider the subspaces $V_i:=text{Im}(T^i)$. If $V_i=V_{i+1}$, then by definition $V_i=V_j,forall jge i$. Since $T$ si nilpotent, $V_i$ is descending to $left{0right}$. Thus if $V_i=V_{i+1}$ for some $i$, then $V_i=left{0right}$. Also if $V_ine V_{i+1}$ then $text{dim}(V_i)getext{dim}(V_{i+1})+1$. As a consequence $V_n=left{0right}$.



                          Also, one can use the pigeon-hole principle: the dimensions of $V_i$ are in the set $left{1,2,cdots,nright}$, and there are $n+1$ elements in $left{text{dim}(V_i)mid i=0,1,cdots,nright}$, so $text{dim}(V_i)=text{dim}(V_{i+1})$ for some $i=0,1,cdots,n$, which implies our desired result as $V_isupseteq V_{i+1},forall i$.





                          Hope this helps.






                          share|cite|improve this answer











                          $endgroup$


















                            1












                            $begingroup$

                            Consider the subspaces $V_i:=text{Im}(T^i)$. If $V_i=V_{i+1}$, then by definition $V_i=V_j,forall jge i$. Since $T$ si nilpotent, $V_i$ is descending to $left{0right}$. Thus if $V_i=V_{i+1}$ for some $i$, then $V_i=left{0right}$. Also if $V_ine V_{i+1}$ then $text{dim}(V_i)getext{dim}(V_{i+1})+1$. As a consequence $V_n=left{0right}$.



                            Also, one can use the pigeon-hole principle: the dimensions of $V_i$ are in the set $left{1,2,cdots,nright}$, and there are $n+1$ elements in $left{text{dim}(V_i)mid i=0,1,cdots,nright}$, so $text{dim}(V_i)=text{dim}(V_{i+1})$ for some $i=0,1,cdots,n$, which implies our desired result as $V_isupseteq V_{i+1},forall i$.





                            Hope this helps.






                            share|cite|improve this answer











                            $endgroup$
















                              1












                              1








                              1





                              $begingroup$

                              Consider the subspaces $V_i:=text{Im}(T^i)$. If $V_i=V_{i+1}$, then by definition $V_i=V_j,forall jge i$. Since $T$ si nilpotent, $V_i$ is descending to $left{0right}$. Thus if $V_i=V_{i+1}$ for some $i$, then $V_i=left{0right}$. Also if $V_ine V_{i+1}$ then $text{dim}(V_i)getext{dim}(V_{i+1})+1$. As a consequence $V_n=left{0right}$.



                              Also, one can use the pigeon-hole principle: the dimensions of $V_i$ are in the set $left{1,2,cdots,nright}$, and there are $n+1$ elements in $left{text{dim}(V_i)mid i=0,1,cdots,nright}$, so $text{dim}(V_i)=text{dim}(V_{i+1})$ for some $i=0,1,cdots,n$, which implies our desired result as $V_isupseteq V_{i+1},forall i$.





                              Hope this helps.






                              share|cite|improve this answer











                              $endgroup$



                              Consider the subspaces $V_i:=text{Im}(T^i)$. If $V_i=V_{i+1}$, then by definition $V_i=V_j,forall jge i$. Since $T$ si nilpotent, $V_i$ is descending to $left{0right}$. Thus if $V_i=V_{i+1}$ for some $i$, then $V_i=left{0right}$. Also if $V_ine V_{i+1}$ then $text{dim}(V_i)getext{dim}(V_{i+1})+1$. As a consequence $V_n=left{0right}$.



                              Also, one can use the pigeon-hole principle: the dimensions of $V_i$ are in the set $left{1,2,cdots,nright}$, and there are $n+1$ elements in $left{text{dim}(V_i)mid i=0,1,cdots,nright}$, so $text{dim}(V_i)=text{dim}(V_{i+1})$ for some $i=0,1,cdots,n$, which implies our desired result as $V_isupseteq V_{i+1},forall i$.





                              Hope this helps.







                              share|cite|improve this answer














                              share|cite|improve this answer



                              share|cite|improve this answer








                              edited Dec 7 '18 at 4:28

























                              answered Dec 7 '18 at 4:03









                              awllowerawllower

                              10.4k42671




                              10.4k42671























                                  1












                                  $begingroup$

                                  For a more computational approach, every matrix can be upper triangularized. It suffices to prove that if $g$ is a nilpotent $n$ by $n$ upper triangular matrix, then $g^n = 0$. You can check that all the diagonal entries of $g$ are zero, and then the claim easily follows.






                                  share|cite|improve this answer









                                  $endgroup$


















                                    1












                                    $begingroup$

                                    For a more computational approach, every matrix can be upper triangularized. It suffices to prove that if $g$ is a nilpotent $n$ by $n$ upper triangular matrix, then $g^n = 0$. You can check that all the diagonal entries of $g$ are zero, and then the claim easily follows.






                                    share|cite|improve this answer









                                    $endgroup$
















                                      1












                                      1








                                      1





                                      $begingroup$

                                      For a more computational approach, every matrix can be upper triangularized. It suffices to prove that if $g$ is a nilpotent $n$ by $n$ upper triangular matrix, then $g^n = 0$. You can check that all the diagonal entries of $g$ are zero, and then the claim easily follows.






                                      share|cite|improve this answer









                                      $endgroup$



                                      For a more computational approach, every matrix can be upper triangularized. It suffices to prove that if $g$ is a nilpotent $n$ by $n$ upper triangular matrix, then $g^n = 0$. You can check that all the diagonal entries of $g$ are zero, and then the claim easily follows.







                                      share|cite|improve this answer












                                      share|cite|improve this answer



                                      share|cite|improve this answer










                                      answered Dec 7 '18 at 4:41









                                      D_SD_S

                                      13.7k61552




                                      13.7k61552






























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