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












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












$begingroup$


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






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








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

votes


















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









$endgroup$





















    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.






        share|cite|improve this answer









        $endgroup$













          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3029440%2flet-t-be-a-linear-operator-of-an-n-dimensional-vector-space-v-over-a-field-f-as%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          4 Answers
          4






          active

          oldest

          votes








          4 Answers
          4






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          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






























                                          draft saved

                                          draft discarded




















































                                          Thanks for contributing an answer to Mathematics Stack Exchange!


                                          • Please be sure to answer the question. Provide details and share your research!

                                          But avoid



                                          • Asking for help, clarification, or responding to other answers.

                                          • Making statements based on opinion; back them up with references or personal experience.


                                          Use MathJax to format equations. MathJax reference.


                                          To learn more, see our tips on writing great answers.




                                          draft saved


                                          draft discarded














                                          StackExchange.ready(
                                          function () {
                                          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3029440%2flet-t-be-a-linear-operator-of-an-n-dimensional-vector-space-v-over-a-field-f-as%23new-answer', 'question_page');
                                          }
                                          );

                                          Post as a guest















                                          Required, but never shown





















































                                          Required, but never shown














                                          Required, but never shown












                                          Required, but never shown







                                          Required, but never shown

































                                          Required, but never shown














                                          Required, but never shown












                                          Required, but never shown







                                          Required, but never shown







                                          Popular posts from this blog

                                          How to change which sound is reproduced for terminal bell?

                                          Title Spacing in Bjornstrup Chapter, Removing Chapter Number From Contents

                                          Can I use Tabulator js library in my java Spring + Thymeleaf project?